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The Cochrane Database of Systematic Reviews logoLink to The Cochrane Database of Systematic Reviews
. 2019 Feb 24;2019(2):CD010406. doi: 10.1002/14651858.CD010406.pub3

Corticosteroids as adjunctive therapy in the treatment of influenza

Louise Lansbury 1,, Chamira Rodrigo 2, Jo Leonardi‐Bee 3, Jonathan Nguyen‐Van‐Tam 4, Wei Shen Lim 2
Editor: Cochrane Acute Respiratory Infections Group
PMCID: PMC6387789  PMID: 30798570

Abstract

Background

Specific treatments for influenza are limited to neuraminidase inhibitors and adamantanes. Corticosteroids show evidence of benefit in sepsis and related conditions, most likely due to their anti‐inflammatory and immunomodulatory properties. Although commonly prescribed for severe influenza, there is uncertainty over their potential benefits or harms. This is an update of a review first published in 2016.

Objectives

To systematically assess the effectiveness and potential adverse effects of corticosteroids as adjunctive therapy in the treatment of influenza, taking into account differences in timing and doses of corticosteroids.

Search methods

We searched CENTRAL (2018, Issue 9), which includes the Cochrane Acute Respiratory infections Group's Specialised Register, MEDLINE (1946 to October week 1, 2018), Embase (1980 to 3 October 2018), CINAHL (1981 to 3 October 2018), LILACS (1982 to 3 October 2018), Web of Science (1985 to 3 October 2018), abstracts from the last three years of major infectious disease and microbiology conferences, and references of included articles. We also searched the World Health Organization International Clinical Trials Registry Platform, ClinicalTrials.gov, and the ISRCTN registry on 3 October 2018.

Selection criteria

We included randomised controlled trials (RCTs), quasi‐RCTs, and observational studies that compared corticosteroid treatment with no corticosteroid treatment for influenza or influenza‐like illness. We did not restrict studies by language of publication, influenza subtypes, clinical setting, or age of participants. We selected eligible studies in two stages: sequential examination of title and abstract, followed by full text.

Data collection and analysis

Two review authors independently extracted data and assessed risk of bias. We pooled estimates of effect using a random‐effects model, where appropriate. We assessed heterogeneity using the I2 statistic and assessed the certainty of the evidence using the GRADE framework.

Main results

This updated review includes 30 studies (one RCT with two arms and 29 observational studies) with a total of 99,224 participants. We included 19 studies in the original review (n = 3459), all of which were observational, with 13 studies included in the meta‐analysis for mortality. We included 12 new studies in this update (one RCT and 11 observational studies), and excluded one study in the original review as it has been superceded by a more recent analysis. Twenty‐one studies were included in the meta‐analysis (9536 individuals), of which 15 studied people infected with 2009 influenza A H1N1 virus (H1N1pdm09). Data specific to mortality were of very low quality, based predominantly on observational studies, with inconsistent reporting of variables potentially associated with the outcomes of interest, differences between studies in the way in which they were conducted, and with the likelihood of potential confounding by indication. Reported doses of corticosteroids used were high, and indications for their use were not well reported. On meta‐analysis, corticosteroid therapy was associated with increased mortality (odds ratio (OR) 3.90, 95% confidence interval (CI) 2.31 to 6.60; I2 = 68%; 15 studies). A similar increase in risk of mortality was seen in a stratified analysis of studies reporting adjusted estimates (OR 2.23, 95% CI 1.54 to 3.24; I2 = 0%; 5 studies). An association between corticosteroid therapy and increased mortality was also seen on pooled analysis of six studies which reported adjusted hazard ratios (HRs) (HR 1.49, 95% CI 1.09 to 2.02; I2 = 69%). Increased odds of hospital‐acquired infection related to corticosteroid therapy were found on pooled analysis of seven studies (pooled OR 2.74, 95% CI 1.51 to 4.95; I2 = 90%); all were unadjusted estimates, and we graded the data as of very low certainty.

Authors' conclusions

We found one RCT of adjunctive corticosteroid therapy for treating people with community‐acquired pneumonia, but the number of people with laboratory‐confirmed influenza in the treatment and placebo arms was too small to draw conclusions regarding the effect of corticosteroids in this group, and we did not include it in our meta‐analyses of observational studies. The certainty of the available evidence from observational studies was very low, with confounding by indication a major potential concern. Although we found that adjunctive corticosteroid therapy is associated with increased mortality, this result should be interpreted with caution. In the context of clinical trials of adjunctive corticosteroid therapy in sepsis and pneumonia that report improved outcomes, including decreased mortality, more high‐quality research is needed (both RCTs and observational studies that adjust for confounding by indication). The currently available evidence is insufficient to determine the effectiveness of corticosteroids for people with influenza.

Plain language summary

Steroids for the treatment of influenza

Review question

We reviewed the evidence regarding the effect of additional ('adjunctive') steroid treatment in individuals with influenza infection.

Background

The majority of individuals with influenza have a fever, headache, and cough and improve without any specific treatment. However, a small proportion of patients develop a more severe form of influenza that requires admission to a hospital intensive care unit. These patients are often prescribed steroids as part of their treatment, although the evidence supporting the use of steroids in these circumstances is controversial.

Study characteristics

We searched for studies comparing additional steroid treatment with no additional steroid treatment in individuals with influenza. The evidence is current to 3 October 2018. We identified a total of 30 studies with 99,224 individuals; one of these studies was a clinical trial. The majority of studies investigated adults admitted to hospital with pandemic influenza in 2009 and 2010.

Key results

We found one relevant clinical trial, but there were very few participants (n = 24) with laboratory‐confirmed influenza. The certainty of the evidence available from existing observational studies was of very low. We found that people with influenza who received additional steroid treatment may have a greater risk of death compared to those who did not receive steroid treatment. Hospital‐acquired infection was the main 'side effect' related to steroid treatment reported in the included studies; most studies reported a greater risk of hospital‐acquired infection in the group treated with steroids. However, it was unclear whether patients with more severe influenza had been selected to receive steroid treatment. Consequently, we were unable to determine whether additional steroid treatment in people with influenza is truly harmful or not. Further clinical trials of additional steroids in the treatment of individuals with influenza are therefore warranted. In the meantime, the use of steroids in influenza remains a clinical judgement call.

Certainty of the evidence

In the one controlled trial there were only 24 participants with confirmed influenza infection, and there was under‐representation of the sickest patients in the intensive care unit and with sepsis.

The rest of the evidence was from observational studies, and we classified the certainty of this evidence as very low. A major limitation was that the indications for corticosteroid therapy were not fully specified in many of the studies; corticosteroids may have been used as a final attempt in people with the most severe disease, or conversely they may have been used to treat less severe illnesses that occurred simultaneously such as asthma exacerbations. It was noted in some studies that there was high degree of association between the use of corticosteroids and the presence of potentially confounding factors such as disease severity and underlying illnesses, suggesting that confounding by the indication for corticosteroids was likely if not adjusted for when determining effect estimates. We noted inconsistent reporting of other important variables that may be related to influenza‐related death across studies, including time to hospitalisation, the use and timing of antiviral drugs and antibiotics, and the type, dose, timing, and duration of corticosteroid therapy. Additionally, for studies in which this information was reported, there were differences between studies in the way that disease severity was measured, the time point at which death was assessed, and the proportions of cases and controls treated with antivirals and/or antibiotics and in the type, dose, timing, and duration of corticosteroid therapy.

Summary of findings

Summary of findings for the main comparison. Corticosteroid therapy compared to no corticosteroid therapy in the treatment of influenza.

Effect of corticosteroid therapy on influenza‐related outcomes
Patient or population: individuals with influenza
 Setting: in‐hospital
 Intervention: corticosteroid therapy
 Comparison: no corticosteroid therapy
Outcomes Anticipated absolute effects* (95% CI) Relative effect
 (95% CI) № of participants
 (studies) Certainty of the evidence
 (GRADE)
Risk with no corticosteroid therapy Risk with corticosteroid therapy
Number of deaths at 30 days following admission (30‐day mortality)a 70 per 1000 209 per 1000
 (160 to 267) OR 3.90
 (2.31 to 6.60)b 9536
 (21 observational studies) ⊕⊝⊝⊝
 VERY LOWc
Rate of admission to intensive care units 260 per 1000 643 per 1000 (599 to 684) OR 5.13 (4.26 to 6.17) 2141
 (1 observational study) ⊕⊝⊝⊝
 VERY LOWd
Number and nature of adverse events secondary to corticosteroid use (hospital‐acquired infection) 72 per 1000 175 per 1000 (105 to 277) OR 2.74 (1.51 to 4.95) 6114
 (7 observational studies) ⊕⊝⊝⊝
 VERY LOWe
Proportion of participants requiring mechanical ventilation 418 per 1000 Ranged from 561 to 890 per 1000 OR ranged from 1.78 (1.35 to 2.35) to 11.29 (8.25 to 15.44). 4364
 (4 observational studies) ⊕⊝⊝⊝
 VERY LOWf
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
 CI: confidence interval; OR: odds ratio
GRADE Working Group grades of evidenceHigh certainty: We are very confident that the true effect lies close to that of the estimate of the effect.
 Moderate certainty: We are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
 Low certainty: Our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
 Very low certainty: We have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

aStratification by 30‐day mortality was not possible due to heterogeneity between studies in reporting the timing of mortality after hospital admission.
 bAdjusted OR only 2.23 (95% CI 1.54 to 3.24; 1206 participants; 5 studies); adjusted HR only 1.49 (95% CI 1.09 to 2.02; 7324 participants; 6 studies).
 cPooled analysis. We downgraded the certainty of the evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids) and clinical/statistical heterogeneity (unadjusted estimates of odds ratio for mortality were presented in some studies, and the definition of mortality varied across the studies).
 dSingle observational study. We downgraded the certainty of the evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids). One single randomised controlled trial of corticosteroid use versus placebo with subgroup analysis of people with confirmed influenza was not powered for this outcome, and the number of participants in each arm was very small.
 ePooled analysis. We downgraded the certainty of the evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids) and clinical/statistical heterogeneity (unadjusted estimates of odds ratio for hospital‐acquired infection were presented in some studies, and the definitions of hospital‐acquired infection varied across the studies).
 fResults were not pooled. We downgraded the certainty of the evidence from low (observational data) to very low due to high risk of indication bias (sicker adults with influenza were more likely to receive corticosteroids) and clinical/statistical heterogeneity (unadjusted estimates of odds ratio for mechanical ventilation were presented in all studies).

Background

Description of the condition

Influenza is a significant cause of morbidity and mortality worldwide and has a high financial burden. Seasonal influenza occurs annually during the winter months in temperate zones of both the Northern and Southern hemispheres and year round in the tropics (Caini 2016). Global estimates of seasonal influenza from the World Health Organization (WHO) report 1000 million cases, including three to five million cases of severe illness annually (WHO 2018). Between 291,000 and 645,800 respiratory deaths associated with influenza are estimated to occur globally each influenza season; 58% of these are in individuals aged 65 years and above (Iuliano 2018). The reported per capita total cost of a case of influenza illness in national studies ranges from USD 27 to USD 52 in European countries and USD 45 to USD 63 in the United States (Peasah 2013). Estimates of the influenza‐related hospitalisation rate in the USA range from 63 to 107 per 100,000 individuals annually at a cost of USD 11,096 to USD 83,216 per admission; amongst adults, hospitalisation rates are highest in individuals aged 65 years age and above (309/100,000) (Peasah 2013; Zhou 2012). The population‐based incidence estimate for influenza‐associated critical illness in the USA is 12 per 100,000 person‐years; this represents 1.3% of all critical illness hospitalisations, or 3.4% of critical illness hospitalisations during the influenza season (Ortiz 2014). Estimates from the UK indicate an influenza‐attributable annual general practitioner consultation rate of 2156 per 100,000 population and a corresponding annual hospitalisation rate of 34 per 100,000 population (Cromer 2014).

Pandemic influenza occurs unpredictably and infrequently due to reassortment of the influenza virus or adaptive mutation of a virus that has crossed the species barrier (Taubenberger 2008). Although the case fatality ratio associated with the recent influenza A (H1N1) pandemic in 2009 and 2010 was lower in comparison to previous pandemics (0.03% versus 2.5% in 1918 and 1919) (Donaldson 2010), a modelling study of global mortality due to the recent pandemic estimated 201,200 respiratory deaths and 83,300 cardiovascular deaths, with 80% of the deaths in individuals younger than 65 years (Dawood 2012). This shift in mortality towards younger age groups is estimated to have led to between 334,000 and 1,973,000 'years of life lost' in the USA alone (Viboud 2010). Worldwide clinical data from the influenza A (H1N1) pandemic in 2009 revealed that more than one‐fifth of hospitalised individuals experienced severe disease requiring admission to an intensive care unit (ICU) (Jain 2009; Muthuri 2013; Richard 2012). The onset of critical illness following hospital admission occurred rapidly (median one day) and was commonly due to acute respiratory distress syndrome with refractory hypoxaemia, septic shock, and/or multisystem organ failure, often requiring prolonged ventilation (Jain 2009; Kumar 2009). Critical care delivery systems were overwhelmed, especially in low‐ and middle‐income countries, affecting entire hospital services downstream (Ortiz 2013). The mortality associated with critical care admission due to severe influenza was high (14% to 22%) (Jain 2009; Richard 2012).

Current antiviral treatment options for influenza are limited to the neuraminidase inhibitors (NI) and adamantanes, although widespread adamantane use has been hampered by the global emergence of drug resistance (Deyde 2007). A Cochrane Review of randomised placebo‐controlled trials (RCTs) reported a reduced time to first alleviation of symptoms by 0.6 to 0.7 days in NI‐treated adults, but no differences were seen between the two groups with regard to hospitalisation rates or occurrence of influenza‐related adverse events (Jefferson 2014). In contrast, an individual patient level meta‐analysis of over 29,000 patients with 2009 influenza A H1N1 virus (H1N1pdm09) infection from 78 observational studies across the world found that NI treatment at any time, in comparison to no treatment, was associated with a 19% reduction in mortality risk; early treatment (within two days of symptom onset) was associated with a 52% reduction in mortality risk in comparison to late treatment (Muthuri 2013).

Description of the intervention

Endogenous corticosteroids are produced principally in the adrenal glands from cholesterol and are regulated by the hypothalamic‐pituitary‐adrenal (HPA) axis (Molenaar 2012); they possess several anti‐inflammatory, immunomodulatory, and vascular properties including inhibition of pro‐inflammatory cytokines, reduction of leucocyte trafficking, stimulation of apoptosis of T‐lymphocytes, maintaining endothelial integrity and vascular permeability and regulation of vascular tone by inhibition of vasodilators (nitrous oxide) and increasing sensitivity to vasopressors (Cain 2017; Coutinho 2011; Kaufmann 2008). These properties form the rationale for testing corticosteroids in sepsis and related conditions.

A systematic review of RCTs investigating sepsis and septic shock reported that in critically ill individuals with sepsis, corticosteroid use probably results in increased 7‐day shock reversal and small reductions in ICU and hospital length of stay, and may achieve a small reduction or no reduction in short‐term (28‐ to 31‐day) mortality and possibly a small reduction in long‐term mortality (Rochwerg 2018). For the treatment of bacterial meningitis, corticosteroids appear to reduce hearing loss and neurological complications (Brouwer 2015), while in tuberculous meningitis, an improvement in survival was reported (Prasad 2016).

With regard to respiratory infections, a recent Cochrane Review of systemic corticosteroid use in community‐acquired pneumonia found a reduction in mortality in adults with severe pneumonia, but not in those with non‐severe pneumonia (Stern 2017). Time to clinical cure and length of ICU and hospital stay were also decreased in those treated with corticosteroids, as well as a reduction in the number of people developing respiratory failure or shock and complications of pneumonia. There is limited evidence that systemic corticosteroids as adjunctive therapy to antibiotics in people with acute sinusitis may offer modest benefits for short‐term symptom relief (Venekamp 2014). A review found that in children with croup, corticosteroid treatment was associated with improved symptoms at two hours and decreased readmission rates and length of stay (Gates 2018). No benefits were seen in hospital admission rates or length of stay in hospital following systemic or inhaled corticosteroid use in infants and young children with acute viral bronchiolitis (Fernandes 2013).

The role of corticosteroids for the treatment of influenza is highly controversial. While some case series have reported improved outcomes with corticosteroid treatment of severe influenza (Quispe‐Laime 2010), other cohort studies have suggested the opposite (Diaz 2012; Liem 2009). Despite the ongoing controversy, 9% of hospitalised individuals and up to 69% of critically ill individuals during the 2009 influenza A (H1N1) pandemic were prescribed corticosteroid therapy (Brun‐Buisson 2011; Diaz 2012; Kumar 2009; Muthuri 2013). The WHO consultation on human influenza A (H5N1) infection reported that 47% to 70% of patients received corticosteroids during the 2004 to 2005 outbreak in Southeast Asia (WHO 2005).

How the intervention might work

Viral replication and production of cytokines through activation of the host innate immune system are central to the pathogenesis of influenza infection (de Jong 2006). Elevated or excessive production of cytokines (hypercytokinaemia) correlates with symptoms and fever in acute influenza (Lee 2011; McClain 2016). Comparisons between patients with mild and severe pandemic influenza have revealed significantly higher levels of cytokines (especially interleukin‐6) in the plasma of patients with severe disease (Yu 2011b), and similar findings have been replicated in studies of severe seasonal influenza (Heltzer 2009). A combination of excessive pro‐inflammatory cytokine induced inhibition of the HPA axis, substrate (cholesterol) deficiency, structural damage to the adrenal gland due to infarction of haemorrhage and peripheral corticosteroid resistance could lead to absolute or relative corticosteroid insufficiency during critical illness (Annane 2017; Marik 2009). The overall incidence of adrenal insufficiency in people with critical illness is estimated to be around 20%, and up to 60% in those with sepsis and septic shock (Marik 2009). Administration of corticosteroids during critical illness, including severe influenza, may attenuate this state of adrenal insufficiency and help maintain homeostasis, and control dysregulation of the immune system.

Why it is important to do this review

Treatment options for influenza are limited. Corticosteroids may offer an additional therapeutic option; although they are frequently prescribed for severely ill individuals with influenza, there is controversy regarding their benefits and harms. A systematic review of the current evidence would a) highlight the quality of the available evidence and b) valuably inform current clinical practice and future research needs.

Objectives

To systematically assess the effectiveness and potential adverse effects of corticosteroids as adjunctive therapy in the treatment of influenza, taking into account differences in timing and doses of corticosteroids.

Methods

Criteria for considering studies for this review

Types of studies

We considered randomised controlled trials (RCTs), quasi‐experimental designs, and observational cohort studies of individuals with influenza investigating corticosteroid treatment versus no corticosteroid therapy for inclusion. We excluded studies with case‐control designs due to the inability to determine temporal effects of corticosteroids on the development of non‐mortality outcomes. We excluded studies with fewer than 10 participants.

Types of participants

Individuals with:

  1. clinically diagnosed influenza or influenza‐like illness (defined as fever, cough, symptoms of upper respiratory tract infection (coryza, sore throat), and constitutional symptoms (headache, myalgia) of acute onset); and/or

  2. microbiologically confirmed influenza through sampling of the respiratory tract (nasal swabs, throat swabs, or bronchoalveolar lavage).

There were no restrictions on age, influenza subtypes, or study setting.

Types of interventions

We considered studies investigating corticosteroid treatment versus no corticosteroid treatment for inclusion. There were no restrictions on the doses of corticosteroid or the types of corticosteroid used. We considered corticosteroid administration by oral and intravenous routes.

Types of outcome measures

Primary outcomes
  1. For studies of hospitalised participants:

    1. number of deaths at 30 days following admission (30‐day mortality);

    2. rate of admission to ICUs.

  2. For studies in the community setting:

    1. rate of hospitalisation;

    2. time to resolution of symptoms;

    3. 30‐day mortality.

When studies reported mortality as an outcome following adjustment for potential confounders such as disease severity and patient demographics among other variables, this is referred to as 'adjusted mortality'.

Secondary outcomes
  1. For studies of hospitalised participants:

    1. hospital readmission rate at 30 days postdischarge;

    2. number and nature of adverse events secondary to corticosteroid use, such as incidence of gastrointestinal bleeding, hospital‐acquired infections, and metabolic complications (e.g. hyperglycaemia, hypernatraemia);

    3. proportion of participants requiring mechanical ventilation;

    4. length of stay in hospital.

  2. For studies in the community setting:

    1. number and nature of adverse events secondary to corticosteroid use, such as incidence of gastrointestinal bleeding, hospital‐acquired infections, and metabolic complications (e.g. hyperglycaemia, hypernatraemia).

Search methods for identification of studies

Electronic searches

We searched the following electronic databases: the Cochrane Central Register of Controlled Trials (CENTRAL 2018, Issue 9, searched 3 October 2018), which contains the Cochrane Acute Respiratory Infections Group's Specialised Register, MEDLINE (1946 to October week 1, 2018), Embase (1980 to 3 October 2018), CINAHL (Cumulative Index to Nursing and Allied Health Literature) (1981 to 3 October 2018), LILACS (Latin American and Caribbean Health Science Information database) (1982 to 3 October 2018), and Web of Science (1985 to 3 October 2018).

The search strategy implemented in CENTRAL and MEDLINE is provided in Appendix 1. We used the Cochrane Highly Sensitive Search Strategy for identifying randomised trials for the initial search in the MEDLINE database (Lefebvre 2011). We then repeated the MEDLINE search, replacing the randomised trial filter with the Scottish Intercollegiate Guidelines Network (SIGN) filter to identify observational studies (SIGN 2011). We combined these two searches to give the search results for MEDLINE. We repeated this process to search Embase (Appendix 2), CINAHL (Appendix 3), LILACS (Appendix 4), and Web of Science (Appendix 5), adapting the filter as needed.

There were no date, publication, or language restrictions.

Searching other resources

We searched the following clinical trials registries for ongoing clinical trials on 3 October 2018:

  1. ISRCTN registry (www.isrctn.com/);

  2. World Health Organization International Clinical Trials Registry Platform (WHO ICTRP) (www.who.int/ictrp); and

  3. US National Institutes of Health Ongoing Trials Register ClinicalTrials.gov (clinicaltrials.gov/).

We scrutinised the bibliographies of included studies and the last three years of three major infectious diseases conferences (Interscience Conference on Antimicrobial Agents and Chemotherapy (ICAAC), European Society of Clinical Microbiology and Infectious Diseases (ESCMID), and Asia Pacific Society of Infection Control (APSIC)) to identify potentially eligible studies. We also checked the reference lists of included studies for additional potentially eligible articles. Following execution of the search strategy, we contacted four domain experts to ensure relevant studies had been identified (see Acknowledgements).

Data collection and analysis

Selection of studies

Two review authors (CR, WSL, and for the 2018 update, CR, LL) independently reviewed all the citations retrieved using the search strategy described above. We selected studies in two stages: analysis of study titles and abstracts in the first stage, followed by analysis of the full text of the articles. Any disagreements at either stage were resolved through discussion with a third review author (JNVT).

Data extraction and management

Two review authors independently extracted data from each included study. One review author (CR) extracted data from all eligible studies in the original version, and one review author (LL) extracted data for all eligible studies identified for this update using a standardised pro forma that was previously piloted and specifically adapted for this review. The other review authors shared the duplicate data extraction of all included studies. We obtained the following data from studies:

  1. characteristics of study (design, setting, country, enrolment period, methodological details including 'Risk of bias' criteria for RCTs and the Newcastle‐Ottawa Scale for non‐randomised trials and comparative observational studies);

  2. characteristics of participants (inclusion and exclusion criteria, demographics, comorbid illnesses, disease severity, numbers in each group);

  3. characteristics of intervention (type of steroid, route of administration, dose, timing of corticosteroid use (early versus late), and duration of treatment, co‐interventions administered);

  4. outcome measures.

Assessment of risk of bias in included studies

Two review authors (CR and JLB in the original review; LL plus a second independent data extractor for this update) independently assessed the methodological quality of experimental studies using the Cochrane 'Risk of bias' tool for the following domains (Higgins 2011):

  1. adequacy of the method for generating the randomisation sequence;

  2. adequacy of the method for allocation concealment;

  3. blinding of participants, clinicians, and outcome assessors with regard to the intervention given;

  4. incomplete outcome data (participants lost to follow‐up in each treatment group and reasons for losses reported);

  5. analysis of participants in the groups to which they were originally randomised (intention‐to‐treat principle);

  6. selective outcome reporting (all primary outcomes listed in the study protocol that are relevant to this review were reported);

  7. other potential sources of bias.

We used the validated 'star system' of the Newcastle‐Ottawa Scale to assess the risk of bias at the outcome level in observational studies for the following three domains (Newcastle‐Ottawa Scale 2014):

  1. selection of study groups;

  2. comparability of groups;

  3. ascertainment of outcome.

Measures of treatment effect

We extracted dichotomous outcome data from individual studies as tabulated data from which risk ratios (RR) or odds ratios (OR) and 95% confidence intervals (CI) were estimated. We extracted adjusted outcome measures as ORs or hazard ratios (HRs) with 95% CIs and presented these separately in pooled analyses. For normally distributed continuous data, we calculated mean difference (MD) or standardised mean difference (SMD) with corresponding 95% CIs. We used medians and interquartile ranges for continuous data that were not normally distributed.

Unit of analysis issues

We considered the individual participant to be the unit of analysis for RCTs. We analysed cluster‐RCTs allowing for that level of randomisation.

Dealing with missing data

We analysed data on an intention‐to‐treat basis. For dichotomous outcomes, we assessed the effect assuming participants with missing data had a poor outcome. We did not use any form of imputation for participants with missing continuous outcome data. We consulted the CONSORT‐type flow chart of participants through the study when available (Schulz 2010). If a flow chart was not available, we looked for information in the text of the results to determine whether all participants included in the study had been analysed. In case of ambiguity, we contacted the trial authors for further information.

In the case of missing data relating to results, for example measures of dispersion, we contacted the trial authors of the study to request further information.

Assessment of heterogeneity

We used the I2 statistic to assess heterogeneity across experimental and observational studies. We considered a value greater than 50% to reflect substantial heterogeneity between the findings of RCTs (as described in the Cochrane Handbook for Systematic Reviews of Interventions) (Higgins 2011). However, due to the inherent biases within the design of observational studies, we considered a value greater than 75% to reflect substantial heterogeneity for these studies.

Assessment of reporting biases

Where at least 10 studies were included in the meta‐analysis, we assessed funnel plots for publication bias (small‐study bias).

Data synthesis

One review author (CR, and for this update, LL) entered data into Review Manager 5 (RevMan 2014), and two review authors (CR and JLB in the original review; and LL plus a second independent data extractor for this update) independently summarised the data. In the case of experimental studies, where the interventions and populations were similar, we used a random‐effects model to pool data due to the potential for inherent biases in the studies. We elected only to use the random‐effects model to pool data due to the likely differences in the effectiveness of corticosteroids by participant characteristics. We did not use a fixed‐effect model to analyse the data because a) there was a clear rationale for choosing the random‐effects model, and b) there was no concern about the influence of small‐study effects.

For observational studies, we extracted tabulated data, crude estimates, and adjusted estimates of effect from the studies. We extracted adjusted outcome measures as ORs or HRs with 95% CIs and presented these separately in pooled analyses. We used a similar meta‐analysis method to pool data from observational studies as described for RCTs. Where data were available, we presented subgroup analyses of adjusted or unadjusted estimates separately (if both types of data were available, we preferred the use of adjusted estimates of effect in order to minimise potential confounding between the treatment groups).

GRADE and 'Summary of findings' table

We created a 'Summary of findings' table for the primary outcomes of number of deaths at 30 days following admission and rate of admission to ICUs, and for the secondary outcomes of number and nature of adverse events secondary to corticosteroid use (hospital‐acquired infections), and proportion of participants requiring mechanical ventilation. All the outcomes summarised were from studies of hospitalised participants. We used the five GRADE considerations (study limitations, consistency of effect, imprecision, indirectness, and publication bias) to assess the certainty of a body of evidence as it relates to the studies that contribute data to the meta‐analyses for the prespecified outcomes (Atkins 2004). We used the methods and recommendations described in Section 8.5 and Chapter 12 of the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011), employing GRADEpro GDT software (GRADEpro GDT 2014). We justified all decisions to downgrade or upgrade the certainty using footnotes and made comments to aid the reader's understanding of the review where necessary.

Subgroup analysis and investigation of heterogeneity

We performed subgroup analyses in the following areas where possible:

  1. daily corticosteroid dose (low versus high; in adults low dose is defined as hydrocortisone ≤ 300 mg, dexamethasone ≤ 12 mg, prednisolone ≤ 75 mg, methylprednisolone ≤ 60 mg) (Annane 2004);

  2. timing of corticosteroid use (early versus late; early defined as < 4 days of onset of symptoms and late ≥ 4 days) (Annane 2002; Jain 2009; Nguyen‐Van‐Tam 2010);

  3. duration of corticosteroid course (short versus long course; short course defined as < 5 days and long course ≥ 5 days) (Annane 2004);

  4. adult versus child population (adult defined as ≥ 16 years);

  5. route of administration (intravenous, oral); and

  6. seasonal influenza versus pandemic/outbreak influenza.

Sensitivity analysis

We performed sensitivity analyses to assess the effect of study design on the primary and secondary outcomes using stratification if a sufficient number of studies were available.

Results

Description of studies

Results of the search

For the original publication of this review, our search strategy identified 3416 titles, of which 2812 articles were assessed in the first stage of the selection process after de‐duplication. Of these, we scrutinised 95 potentially eligible articles, yielding 19 articles for inclusion (Rodrigo 2016). For this 2018 update we identified a further 981 titles from the electronic searches and 15 through searching other resources (Figure 1). After de‐duplication, two review authors (CR, LL) independently assessed the additional 874 titles and abstracts retrieved and the full text of the 31 studies deemed potentially eligible. We excluded a previously included study, Diaz 2012, as it had been superceded by a more extensive analysis that included the same participants (Moreno 2018). Of the 30 studies included in the review, we included 21 observational studies in the meta‐analysis of mortality (Balaganesakumar 2013; Brun‐Buisson 2011; Cao 2016; Chawla 2013; Delaney 2016; Huang 2017; Kim 2011; Kinikar 2012; Lee 2015; Li 2012; Li 2017; Liem 2009; Linko 2011; Mady 2012; Moreno 2018; Patel 2013; Sertogullarindan 2011; Sheu 2017; Viasus 2011; Xi 2010; Yu 2011a). We did not combine data from the one RCT, Wirz 2016, with those from the observational studies. We included the remaining eight articles in the narrative synthesis only, as four studies investigated corticosteroid therapy prior to the diagnosis of influenza (Boudreault 2011; Delgado‐Rodriguez 2012; Ono 2016; Wu 2012), and four studies reported outcomes other than mortality according to corticosteroid use (Al‐Busaidi 2016; Han 2011; Jain 2009; Kudo 2012).

1.

1

Study flow diagram for the 2018 update search. We included 12 new studies in the update and excluded 1 study in the original version of the review (Diaz 2012), as it had been superceded by a more recent analysis.

Included studies

The study design, participant, intervention, and outcome characteristics of the included studies are summarised in the Characteristics of included studies table and Table 2. All studies had an observational design apart from one RCT of prednisone for community‐acquired pneumonia, which included a subgroup analysis by pathogen (Wirz 2016). Outcome data according to corticosteroid use were reported for a total of 99,224 participants. All studies were conducted, at least in part, within a hospital setting: nine studies consisted only of individuals admitted to the ICU (n = 2934); 19 studies investigated admissions to both ICUs and hospital wards (n = 95,941); one study included individuals from non‐ICU wards only (n = 143); and one study investigated both outpatients and inpatients (n = 206). The viral aetiology of individuals included in the studies was as follows: 20 studies of 2009 influenza A H1N1 virus (H1N1pdm09) (n = 5707); seven studies of seasonal influenza (n = 91,316); one study of mixed pandemic and seasonal influenza (n = 1846); one study of influenza A (H5N1) (n = 38); and one study of influenza A (H7N9) (n = 288).

1. Summary of included studies.
Study/year (country) Design Setting/inclusion criteria CS given (n) CS not given (n) Demographics Disease severity scores Corticosteroid therapy dose/timing/duration Outcomes reported
Studies included in meta‐analysis
Influenza 2009 influenza A H1N1 virus (H1N1pdm09)
Balaganesakumar 2013(India ‐ Tamil Nadu) Multicentre prospective cohort study In‐hospital/admissions with influenza 70 210 Median age (years): 26 (1 to 82) Not reported Not reported Mortality
Brun‐Buisson 2011(France) Multicentre retrospective analysis of prospectively collected data ICU/severe respiratory failure (ARDS or MV) 83 (early CS 50 and late CS 33) 125 Median age (years): no CS 45 (35 to 55); CS 49 (34 to 56)
Immunosuppression: no CS 18.4%; CS 21.7%
Median SAPS III cohort 52.0 (44.0 to 64.0); no CS group 53.0 (46.0 to 66.0); CS group 51.0 (44.0 to 61.0); P = 0.25 Median daily dose: 270 mg (200 to 400 mg) of hydrocortisone equivalent
Timing: within median 1 day (0 to 6) of MV
Duration: median 11 days (6 to 20)
Hospital mortality, length of ICU stay, adverse events
Chawla 2013(India ‐ New Delhi) Single‐centre retrospective cohort study ICU/admissions with influenza 38 39 Mean age (years): 40.9 (±13.4) Not reported Duration of therapy: mean (days) 10.6 (±7.8) Mortality
Delaney 2016(Canada) Multicentre prospective cohort study ICU/age ≥ 18 years; critically ill with confirmed, probable, or highly suspected influenza 280 327 Mean age (years): no CS 46.2 (±15.2); CS 48.8 (±15.3)
Asthma: CS 29.3%; no CS 12.8%; P < 0.001
COPD: CS 25.0%; no CS 9.2%; P < 0.001
Immunosuppressed: CS 8.9%; no CS 3.1%; P = 0.002
Mean APACHE II score: CS 21.2 (±10.3); no CS 20.1 (±9.7); P = 0.22
Mean SOFA score: CS 11.4 (±3.8); no CS 11.3 (±3.6); P = 0.70
Median daily dose: 227 mg (154 to 443 mg) of hydrocortisone equivalent
Timing: median 0 days (0 to 3) of critical illness onset; median 2 days (1 to 8) from hospital admission
Duration: median 7 days (4 to 13)
Mortality, hospital‐acquired infections
Kim 2011(South Korea) Multicentre retrospective cohort/case‐control ICU/age ≥ 15 years; presence of critical illness 107 138 Mean age (years): no CS 54.1 (±19.3); CS 56.9 (±17.2)
Asthma: CS 9%; no CS 7%
COPD: CS 13%; no CS 4%
Mean (SD) APACHE II: no CS group 17.5 (±8.5); CS group 21.2 (±7.7); P = 0.001 Dose: median pred equivalent 75 mg/day (50 to 81 mg/day)
Duration: median days 6 (3 to 14)
Mortality (14‐day, 30‐day, and 90‐day), LOS, acquired infections
Kinikar 2012(India) Single‐centre retrospective cohort study ICU/admissions with influenza, age < 12 years 21 71 Cohort median age (years): 2.5 (1.3 to 6)
Asthma: 4.3%
Congenital heart disease: 6.5%
Not reported Dose: not reported
Timing: not reported
Duration: described as "short course"
In‐hospital mortality
Li 2012(China ‐ Anhui province) Multicentre retrospective cohort study In‐hospital/pregnant, severe disease 27 19 Median age (years): adults who died 21 (18 to 31) and survivors 21 (18 to 27) Not reported Not reported Mortality
Li 2017(China ‐ mainland) Multicentre retrospective analysis of prospectively collected data In‐hospital/viral pneumonia, age > 14 years 1055 1086 Median age (years): no CS 33.7 (24.6 to 48.7); CS 35.0 (23.8 to 52.4)
Asthma: no CS 1.5%; CS 2.1%
COPD: no CS 4.3%; CS 5.6%
Immunosuppression: no CS 1.4%; CS 3.2%
PaO2/FiO2 (mmHg): no CS 286.2 (191.7 to 388.2); CS 173.3 (100 to 272.4) Dose: median methylpred equivalent 80 mg/day (53.3 to 160 mg/day); mean methylpred equivalent 141.3 (±142)
Duration: median (days) 7 (4 to 8); mean (days) 7.7 (±6.8)
Timing: median (days) 6 (4 to 8); mean (days) 6.7 (±4)
Mortality, ICU admission, hospital‐acquired infection, MV
Linko 2011(Finland) Multicentre prospective cohort study ICU/admissions with influenza 72 60 Median age (years): no CS 44 (25 to 57); CS 51 (40 to 56)
COPD: no CS 5%; CS 8%
Other obstructive pulmonary disease: no CS 23%; CS 21%
Median SAPS II: no CS 22 (15 to 30); CS 31 (24 to 36); P = 0.001 Methylpred and/or hydrocortisone
Dose: mean (SD) of highest methylpred dose 94 mg (±43) and hydrocortisone 214 mg (± 66)
Timing: median (IQR) days after symptom onset 5.0 (2.8 to 8.3)
In‐hospital mortality, MV, LOS
Mady 2012(Saudi Arabia) Single‐centre retrospective cohort study ICU/influenza with respiratory failure 43 43 Cohort mean age (years): 40.8
Asthma or COPD: 38.3%
Mean APACHE IV: 110.5 versus 100.6 (P = 0.05), not specified for which treatment group Methylpred
Dose: 1 mg/kg per day for 7 days
Mortality
Patel 2013(India ‐ Gujarat) Single‐centre retrospective cohort study In‐hospital/admissions with influenza 39 24 Cohort median age (years): 34 (3 to 69) Not reported Dose: methylpred 40 mg 3 times a day, twice a day, and once a day, for weeks 1, 2, and 3, respectively Mortality
Sertogullarindan 2011(Turkey) Single‐centre prospective cohort study ICU/severe community‐acquired pneumonia and influenza 7 13 Cohort median age (years): 36 (15 to 72)
COPD: 10%
Not reported Not reported Mortality
Viasus 2011(Spain) Multicentre prospective cohort study In‐hospital/ non‐immunosuppressed, admitted > 24 hours 37 129 Median age (years): no CS 35 (28 to 47); CS 44 (36 to 53)
Chronic pulmonary disease: no CS 17.1%; CS 45.9%
Number in high‐risk PSI classes: CS 8 (21.6);
no CS 8 (6.4); P = 0.05
Duration: median days 9 (5 to 13.5) Severe disease
(composite outcome of ICU admission/death), acquired infection
Xi 2010(China ‐ Beijing) Multicentre retrospective cohort study In‐hospital/age ≥ 18 years 52 103 Cohort mean age (years): 43 (±18.6)
COPD: 6.5%
Not reported Dose: daily median dose equivalent to methylpred 80 mg (IQR 80 to 160 mg) In‐hospital mortality
Subgroup analysis of mortality by CS dose
Yu 2011a(China ‐ Zhengzhou) Multicentre retrospective cohort study Not defined 54 74 Cohort mean age (years): females 28.5 (±16.4); males 28.5 (±20.4)
Range 8 months to 79 years
Not reported Dose: not reported
Duration: mean (days): died 8.3 (±8.0); survived 2.6 (±4.2)
Timing: "Early"
Mortality
Avian influenza A(H5N1)
Liem 2009(Vietnam) Multicentre retrospective cohort In‐hospital/hospitalised patients with influenza 29 38 Cohort median age (years): 25 (16 to 42) Not reported Dose: methylpred 1 to 3 mg/kg/day for 7 days In‐hospital mortality
Avian influenza A(H7N9)
Cao 2016(China) Multicentre retrospective cohort study In‐hospital/age ≥ 14 years with pneumonia 204 84 Median age (years): 58 (IQR 45 to 68) Moderate to severe ARDS 207 (71.9) Low‐moderate dose: 168 (82.4), high dose 36 (17.6). Median dose (mg/day of methylpred equivalent) 80 (IQR 40 to 120) Mortality, adverse events, viral shedding
Mixed influenza A/B
Huang 2017(Taiwan) Single‐centre retrospective cohort study In‐hospital/age > 18 years 29 19 Cohort mean age (years): 65.9 (±19.2)
Chronic pulmonary disease: respiratory distress cohort 27.1%
Respiratory distress Dose and type: not reported ("Medium to high dose" defined as ≥ 0.5 to 2 mg/kg/day)
Timing: early (before/within 72 hours of NAIs) 58.6%
Duration: short (≤ 3 days) 13.8%; 4 to 13 days 48.3%; ≥ 14 days 34.5%
Mortality
Lee 2015(China) Multicentre retrospective analysis of prospectively collected data In‐hospital/age > 17 years 610 2039 Cohort median age (years): 63 (42 to 79) Ventilatory support and/or ICU 305 (11.5) Not reported Mortality, bacterial superinfection, LOS
Moreno 2018(Spain) Multicentre prospective cohort study ICU/viral pneumonia 604 1242 Median age (years): CS 53 (41 to 62); no CS 51 (39 to 61) Median APACHE II score: CS group 15 (10 to 20); no CS group 14 (10 to 19); P < 0.0001 Median daily dose methylpred equivalent 80 mg (60 to 120 mg)
Median duration (days) 7 (5 to 10) Administered within 24 hours of ICU admission
ICU mortality
Sheu 2017(Taiwan) Multicentre retrospective cohort study ICU admissions with confirmed influenza 101 91 Cohort mean age (years): 58.3 ARDS:
Mild 8.3%; moderate 29.2%; severe 62.5%
Not reported Mortality
Studies not included in meta‐analysis
Influenza 2009 influenza A H1N1 virus (H1N1pdm09)
Delgado‐Rodriguez 2012(Spain) Multicentre prospective cohort In‐hospital/ILI, RTI, septic shock, multi‐organ failure 31 782 Cohort median age (years): 41 (19 to 55) Not reported Corticosteroid use 90 days prior to admission Poor outcome (ICU admission and in‐hospital death), LOS
Han 2011(China ‐ Shenyang City) Multicentre retrospective cohort In‐hospital/age > 3 years 46 (early CS 17 and late CS 29) 37 Median age (years): no CS 38 (5 to 75); CS 43 (3 to 70) Median PMEWS: no CS group 2 (0 to 5); CS group 2 (0 to 5) Methylpred and dexamethasone Critical illness
Jain 2009(USA) Multicentre retrospective cohort In‐hospital/ILI with hospital admission ≥ 24 hours 86 153 Cohort median age: 21 years (21 days to 86 years)
Asthma: 28%
COPD: 8% Immunosuppression: 15%
Not reported Not reported Death/ICU admission versus survival/no ICU admission
Kudo 2012(Japan) Single‐centre retrospective cohort In‐hospital/hospitalised patients with respiratory disorders 46 12 Cohort median age (years): 8 (0 to 71)
Asthma: 29.2%
Not reported Dose: methylpred 1 to 1.5 mg/kg, 2 to 4 times/day
Duration: median 5.1 days
Timing: median 2.1 days following symptom onset
LOS
Interpandemic (seasonal) influenza
Boudreault 2011(USA) Single‐centre retrospective cohort Non‐ICU/HSCT recipients with RTI 80
(low dose 43 and high dose 37)
63 Median age (years): no CS 42 (32 to 51); low‐dose CS 42 (28 to 53); high‐dose CS 40 (32 to 54) Not reported Highest dose in 2/52 preceding influenza Low dose (pred/methylpred < 1 mg/kg/day); high dose (pred/methylpred >= 1 mg/kg/day) MV, time to death, PVS
Ono 2016(Japan) Multicentre retrospective cohort study Medical insurance database, < 65 years, first episode of hospitalisation with confirmed influenza 804 87,250 All < 65 years
Asthma: hospitalised 39.5%; non‐hospitalised 23.5%
COPD: hospitalised 2.9%; non‐hospitalised 0.5%
Immunosuppression: hospitalised 0.36%; non‐hospitalised 0.13%
Not reported Dose not reported.
Timing: > 30 days steroid use in 6‐month baseline prior to influenza diagnosis
Rate of hospitalisation
Wirz 2016(Switzerland) Multicentre randomised controlled trial of adjunctive prednisone therapy versus placebo in community‐acquired pneumonia Non‐ICU with community‐acquired pneumonia (influenza subgroup n = 24) 11 13 All trial participants: mean age (years): CS arm 70.3 (±17.5); placebo arm 69.0 (±17)
COPD: CS arm 19.3%; placebo 15.4%
PSI mean score: CS 92.5 (±38.2); placebo 89.2 (±35.5) Dose: oral prednisone 50 mg/day
Duration: 7 days
Timing: early
Any‐cause mortality at 30 days, hospital readmission at 30 days postdischarge, time to effective hospital discharge, time to clinical stability
Wu 2012(Taiwan) Single‐centre prospective cohort Mixed cohort of outpatients and inpatients 17 189 Age >= 65 years in cohort: 12.6%
Chronic lung disease: 9.7%
Malignancy: 8.7%
Not reported Dose/duration: not reported
Unclear if CS commenced prior to or following diagnosis
Complicated influenza (requiring hospitalisation)

APACHE: Acute Physiology and Chronic Health Evaluation
 ARDS: adult respiratory distress syndrome
 COPD: chronic obstructive pulmonary disease
 CS: corticosteroid therapy
 HSCT: haematopoietic stem cell transplant
 ICU: intensive care unit
 ILI: influenza‐like illness
 IQR: interquartile range
 LDH: lactate dehydrogenase
 LOS: length of stay
 methylpred: methylprednisolone
 MV: mechanical ventilation
 NAI: neuraminidase inhibitor

 PaO2/FiO2: ratio of partial pressure of oxygen in arterial blood to inspired fraction of oxygen
 PMEWS: Pandemic Modified Early Warning Score
 pred: prednisolone
 PSI: Pneumonia Severity Index
 PVS: persistent viral shedding
 RTI: respiratory tract infection
 SAPS: Simplified Acute Physiology Score
 SD: standard deviation
 SOFA: Sequential Organ Failure Assessment

The median age of the cohort or corticosteroid treatment groups was reported in 19 studies (varying from 2.5 to 63 years). Of nine studies reporting disease severity according to corticosteroid treatment, adults receiving corticosteroid therapy had higher disease severity scores in comparison to their respective comparator groups in five studies (n = 4530) (Kim 2011; Li 2017; Linko 2011; Moreno 2018; Viasus 2011), while the remaining four studies reported no difference in disease severity scores between the two groups (n = 1356) (Table 2) (Brun‐Buisson 2011; Delaney 2016; Han 2011; Mady 2012).

In all studies, comparisons were made between participants treated with or without corticosteroids in addition to supportive treatment, including antiviral agents. Thirteen studies reported the doses or regimens of corticosteroid administered; in eight studies, the mean/median dose of corticosteroid therapy varied between 56.8 mg and 117.5 mg of prednisolone equivalent per day (Brun‐Buisson 2011; Cao 2016; Delaney 2016; Kim 2011; Li 2017; Linko 2011; Moreno 2018; Xi 2010); four studies reported daily regimens of methylprednisolone 1 to 6 mg/kg (equivalent to 1.25 to 7.5 mg/kg) (Table 2) (Kudo 2012; Liem 2009; Mady 2012; Patel 2013); and one study reported a daily dose of oral prednisolone of 50 mg/day (Wirz 2016). Seven studies reported the median duration of corticosteroid therapy, which varied from 5.1 to 11.0 days.

Excluded studies

The main reason for exclusion of 96 articles was lack of data comparing corticosteroid use versus no corticosteroid use. We reported 30 of these studies that might plausibly have been expected to have been included in the review and their respective reasons for exclusion in the Characteristics of excluded studies table.

Risk of bias in included studies

We used the Cochrane 'Risk of bias' tool to assess the risk of bias in the one RCT, and used the Newcastle‐Ottawa Scale for the remaining included studies, all of which were observational.

Cochrane 'Risk of bias' tool for randomised controlled trial

We judged the randomisation method, allocation of concealment, and blinding to be adequate and at low risk of bias in the one included RCT (Wirz 2016). We could not exclude the presence of other sources of bias, as there were baseline differences between people receiving the treatment and those receiving placebo, and there was under‐representation of the sickest people and those in ICU. Also, systematic testing for respiratory viruses did not start until two years into the study, and there were only a small number of participants with laboratory‐confirmed influenza included in the subgroup analysis.

Newcastle‐Ottawa Scale for observational studies

The risk of bias for 46 reported outcomes from 30 observational studies included in the review is summarised in Table 3.

2. Risk of bias in observational studies using the Newcastle‐Ottawa Scale.
Study Outcome Selection domain
(maximum 4 stars)
Comparability domain
(maximum 2 stars)
Outcome domain
(maximum 3 stars)
Al‐Busaidi 2016 Length of stay 3 1 2
Balaganesakumar 2013 Mortality 2 1 2
Boudreault 2011 Time to death 2 1 2
Brun‐Buisson 2011 In‐hospital mortality 3 2 3
Brun‐Buisson 2011 Length of ICU stay 3 0 3
Brun‐Buisson 2011 ICU‐acquired infection 3 0 3
Cao 2016 Mortality 4 2 3
Cao 2016 Hospital‐acquired infection 4 2 2
Cao 2016 Viral shedding 4 2 2
Chawla 2013 Mortality 3 0 3
Delaney 2016 Mortality 4 2 3
Delaney 2016 ICU‐acquired infection 4 0 3
Delgado‐Rodriguez 2012 Composite outcome of ICU admission and mortality 3 2 3
Han 2011 Critical illness 3 2 3
Jain 2009 ICU admission death versus survival/no ICU admission 4 0 3
Huang 2017 Mortality 2 0 2
Kim 2011 Mortality 4 2 3
Kim 2011 MV 4 0 3
Kim 2011 LOS 4 0 3
Kim 2011 Hospital‐acquired infection 4 0 3
Kinikar 2012 In‐hospital mortality 3 0 3
Kudo 2012 LOS 4 0 2
Lee 2015 Mortality 4 2 3
Lee 2015 Hospital‐acquired infection 4 0 3
Lee 2015 LOS 4 2 3
Li 2012 Mortality 2 0 3
Li 2017 Mortality 4 2 3
Li 2017 ICU admission 4 0 3
Li 2017 Hospital‐acquired infection 4 0 2
Li 2017 MV 4 0 3
Liem 2009 In‐hospital mortality 4 1 3
Linko 2011 In‐hospital mortality 4 2 3
Linko 2011 MV 4 0 3
Linko 2011 LOS 4 0 3
Mady 2012 Mortality 3 0 3
Moreno 2018 ICU mortality 4 2 3
Moreno 2018 ICU LOS 4 0 2
Moreno 2018 MV 4 1 3
Ono 2016 Hospitalisation 2 2 3
Patel 2013 Mortality 2 0 3
Sertogullarindan 2011 Mortality 3 0 3
Viasus 2011 In‐hospital mortality 4 0 3
Viasus 2011 Hospital‐acquired infection 4 0 3
Wu 2012 Influenza requiring hospitalisation 4 1 3
Xi 2010 In‐hospital mortality 3 1 3
Yu 2011a Mortality 2 1 1

ICU: intensive care unit
 LOS: length of stay
 MV: mechanical ventilation

† Studies not included in meta‐analysis (four studies investigating corticosteroid therapy before influenza diagnosis (Boudreault 2011; Delgado‐Rodriguez 2012; Ono 2016; Wu 2012); three studies with no mortality data according to corticosteroid use (Han 2011; Jain 2009; Kudo 2012)).

Selection of study groups

The 'selection' domain scored moderately well across studies, and we awarded a maximum score of 4 stars to 28 of the 46 reported outcomes from the following studies: Cao 2016 (mortality, hospital‐acquired infection, viral shedding); Delaney 2016 (mortality, ICU‐acquired infection); Jain 2009 (ICU admission/death versus survival/no ICU admission); Kim 2011 (mortality, mechanical ventilation, length of stay, and hospital‐acquired infection); Kudo 2012 (length of stay); Lee 2015 (mortality, hospital‐acquired infection, length of stay); Li 2017 (mortality, ICU admission, hospital‐acquired infection, mechanical ventilation); Liem 2009 (in‐hospital mortality); Linko 2011 (in‐hospital mortality, length of stay, mechanical ventilation); Moreno 2018 (ICU mortality, length of ICU stay, mechanical ventilation); Viasus 2011 (in‐hospital mortality, hospital‐acquired infection); and Wu 2012 (influenza requiring hospitalisation). A further 11 of the 46 outcomes were awarded 3 stars. We gave the lowest score of two stars for the 'selection' domain to the following studies: Balaganesakumar 2013 (mortality); Boudreault 2011 (time to death); Huang 2017 (mortality); Li 2012 (mortality); Ono 2016 (hospitalisation); Patel 2013 (mortality); and Yu 2011a (mortality).

Comparability of study groups

The 'comparability' domain performed the poorest across all the studies in the risk of bias assessment. We awarded a maximum of two stars to the following studies and their respective outcomes: Brun‐Buisson 2011 (in‐hospital mortality); Cao 2016 (mortality, hospital‐acquired infection, viral shedding); Delaney 2016 (mortality); Delgado‐Rodriguez 2012 (composite outcome of ICU admission and mortality); Han 2011 (critical illness); Kim 2011 (mortality); Lee 2015 (mortality, length of stay); Li 2017 (mortality); Linko 2011 (in‐hospital mortality); Moreno 2018 (ICU mortality); and Ono 2016 (length of stay). The majority of the remaining studies failed to score any stars for this domain. Confounding by indication is a major concern in the included studies, with a high degree of correlation noted between corticosteroid treatment and potential confounders such as disease severity and the presence of comorbid conditions in several studies (Delaney 2016; Kim 2011; Li 2017; Linko 2011; Viasus 2011).

Ascertainment of outcome

The 'outcome' domain performed the best across all studies, with 35 of the 46 outcomes achieving a maximum score of 3 stars; 23 of the remaining outcomes scored 2 stars, and 1 achieved 1 star (Yu 2011a (mortality)).

Effects of interventions

See: Table 1

Nineteen studies of 2009 influenza A H1N1 virus (H1N1pdm09) reported no difference in or greater adverse outcomes associated with corticosteroid use. One study of people with influenza A virus (H1N1pdm09) pneumonia found that corticosteroids without consideration of dose did not influence mortality, although on subgroup analysis, low to moderate dose corticosteroids, defined as 25 to 150 mg/day of methylprednisolone or its equivalent, were associated with reduced mortality at 30 and 60 days in people with hypoxia, but that there was no beneficial effect with high‐dose corticosteroids (Li 2017) The single study of influenza A/H5N1 found that corticosteroid therapy was associated with increased mortality following adjustment for neutropenia as a marker of disease severity (Liem 2009). The study of influenza A/H7N9 found no overall association between corticosteroid treatment and 30‐day mortality, although on subgroup analysis there was an association with increased mortality and prolonged viral shedding (Cao 2016). Six studies of individuals with seasonal influenza failed to find any benefits associated with corticosteroid therapy (Boudreault 2011; Huang 2017; Lee 2015; Sheu 2017; Wirz 2016; Wu 2012). The inclusion criteria in these studies included any influenza‐related hospital admission or ICU admission, severe respiratory failure (adult respiratory distress syndrome (ARDS) or requiring mechanical ventilation), septic shock, multi‐organ failure, or "critical illness". However, it was not clear why some participants within these cohorts received systemic corticosteroid therapy while others did not. In particular, whether corticosteroid therapy was initiated primarily for treatment of unstable comorbid illnesses (including asthma and chronic obstructive pulmonary disease (COPD)) was not apparent. One study of mixed influenza subtypes that specifically excluded individuals treated with corticosteroids for causes other than viral pneumonia found an association between corticosteroid use and increased ICU mortality (Moreno 2018).

Primary outcomes

Studies of hospitalised participants
1. Number of deaths at 30 days following admission (30‐day mortality)

We did not include the one RCT in the pooled analyses of observational studies (Wirz 2016); of those participants with laboratory‐confirmed influenza, there were two deaths, one in the corticosteroid‐treated arm (n = 11) and one in the placebo arm (n = 13). The primary outcome for which this RCT was powered was time to clinical stability rather than mortality, and there were only 24 people in total with laboratory‐confirmed influenza.

Due to heterogeneity among studies reporting timing of mortality from hospital admission, stratification by 30‐day mortality was not possible as stated in the protocol (Table 4). We graded the certainty of the evidence specific to mortality as very low (Table 1) (Guyatt 2011). Meta‐analysis of 15 studies (n = 2212 participants) revealed a significant increase in the odds of mortality with corticosteroid use, with moderate statistical heterogeneity (odds ratio (OR) 3.90, 95% confidence interval (CI) 2.31 to 6.60; I2 = 68%; Analysis 1.1; Figure 2). Subgroup analysis of unadjusted and adjusted OR estimates of mortality showed a similar association with corticosteroid therapy (OR 4.79, 95% CI 2.35 to 9.79; I2 = 67%; Analysis 1.1.1 and OR 2.23, 95% CI 1.54 to 3.24; Analysis 1.1.2; I2 = 0%, respectively). Six studies reported adjusted hazard ratios (HRs) for mortality associated with corticosteroid therapy, with a pooled adjusted HR estimate of 1.49, 95% CI 1.09 to 2.02; I2 = 69%; Analysis 1.2; Figure 3. Four of the studies reported harm (Brun‐Buisson 2011; Lee 2015; Moreno 2018; Sheu 2017), while one other study found no association (Li 2017). The remaining study found no association 30 days after admission (HR 1.81, 95% CI 0.88 to 3.74) (Cao 2016), although corticosteroid use was associated with mortality at 60 days (HR 1.98, 95% CI 1.03 to 3.79).

3. Summary of studies reporting mortality.
Study Outcome reported Mortality in CS treatment group Mortality in group not treated with CS Reported unadjusted risk of mortality Reported adjusted risk of mortality Variables included in model for adjusted estimates
Balaganesakumar 2013 Mortality 50/70 (71.4) 20/210 (9.5) OR 23.8 (95% CI 11.3 to 50.8) Not reported
Brun‐Buisson 2011 In‐hospital mortality 28/83 (33.8) 21/125 (16.8) HR 2.39 (95% CI 1.32 to 4.31) aHR 2.59 (95% CI 1.42 to 4.73) Immunosuppression, disease severity (SAPS III), vasopressor use
Cao 2016 30‐day mortality (also adjusted estimates provided for 60‐day mortality 81/204 (39.7) 11/84 (13.1) Not reported aHR 1.81 (95% CI 0.88 to 3.74) Age, underlying comorbidities, laboratory findings, PaO2/FiO2, shock, antibiotics, NAI treatment
Chawla 2013 Mortality 9/38 (23.7) 1/39 (2.6) OR 11.8 (95% CI 1.4 to 98.4) Not reported
Delaney 2016 In‐hospital mortality 70/280 (25.0) 51/324 (15.7) OR 1.82 (1.21 to 2.74) aOR 1.85 (95% CI 1.12 to 3.04) Age, sex, disease severity, comorbid illness, bacterial co‐infection at admission
Huang 2017 Mortality 9/29 (31.0) 5/19 (26.3) OR 1.26 (95% CI 0.35 to 4.57) Not reported N/A
Kim 2011 90‐day mortality (also unadjusted estimates provided for 14‐day and 30‐day mortality) 62/107 (57.9) 37/138 (26.8) OR 3.76 (95% CI 2.19 to 6.44) aOR 2.20 (95% CI 1.03 to 4.71) Age, disease severity (SOFA), MV, lymphocyte count, propensity score)
Kinikar 2012 In‐hospital mortality 9/21 (42.8) 6/71 (8.4) OR 8.12 (95% CI 2.44 to 27.05) Not reported N/A
Lee 2015 30‐day mortality (also adjusted estimates provided for 60‐day mortality) 60/600 (10.0) 96/2049 (4.7) Not reported aHR 1.73 (95% CI 1.14 to 2.62) Age, sex, NAI propensity, bacterial superinfection, statins, influenza subtype
Li 2012 Mortality 6/27 (22.2) 1/19 (5.2) OR 5.14 (95% CI 0.56 to 46.82) Not reported N/A
Li 2017 30‐day mortality 232/1055 (22.0) 74/1086 (6.8) OR 3.86 (95% CI 2.92 to 5.09) aHR 0.80 (95% CI 0.56 to 1.15) Age, underlying comorbidities, disease severity, NAI treatment, propensity scores
Liem 2009 In‐hospital mortality 17/29 (58.6) 9/38 (23.7) OR 4.25 (95% CI 1.48 to 12.22) aOR 4.11 (95% CI 1.14 to 14.83) Neutropenia as surrogate for severity
Linko 2011 In‐hospital mortality 8/72 (11.1) 2/60 (3.3) OR 3.63 (95% CI 0.74 to 17.77) aOR 3.3 (95% CI 0.5 to 23.4) Disease severity (SAPS II)
Mady 2012 In‐hospital mortality 20/43 (46.5) 10/43 (23.2) OR 2.87 (95% CI 1.14 to 7.25) Not reported N/A
Moreno 2018 ICU mortality 166/604 (27.5) 234/1242 (18.8) OR 1.6 (95% CI 1.3 to 2.0) aHR 1.32 (95% CI 1.08 to 1.60) Propensity matched, APACHE II, gap ICU, number infiltrates on chest x‐ray, laboratory parameters, comorbidities, pregnancy, MV, non‐invasive MV failure, ventilator‐associated pneumonia
Patel 2013 Mortality 11/39 (28.2) 3/24 (12.5) OR 2.75 (95% CI 0.68 to 11.1) Not reported
Sertogullarindan 2011 Mortality 4/7 (57.1) 5/13 (34.5) OR 2.13 (95% CI 0.33 to 13.81) Not reported N/A
Sheu 2017 Mortality Not reported Not reported Not reported aHR 1.81 (95% CI 1.04 to 3.14) Age, sex, APACHE II score, ARDS severity
Viasus 2011 Mortality (primary outcome was "severe disease" = ICU admission/death) 3/37 (8.1) 4/129 (3.1) OR 2.76 (95% CI 0.59 to 12.92) Not reported N/A
Xi 2010 In‐hospital mortality 17/52 (32.7) 10/103 (9.7) OR 4.52 (95% CI 1.89 to 10.81) aOR 3.67 (95% CI 0.99 to 13.64) Ethnicity, comorbid illness, symptoms at onset, laboratory tests
Wirz 2016 30‐day mortality 1/11 (9.1) 1/13 (7.7) OR 1.2 (95% CI 0.07 to 21.72) aOR 0.13 (95% CI not reported) Age, Pneumonia Severity Index, comorbidities
Yu 2011a Mortality 14/54 (25.9) 4/74 (5.4) OR 6.12 (95% CI 1.89 to 19.88) Not reported N/A

aHR: adjusted hazard ratio
 aOR: adjusted odds ratio
 APACHE: Acute Physiology and Chronic Health Evaluation
 ARDS: adult respiratory distress syndrome
 CI: confidence interval
 CS: corticosteroid
 HR: hazard ratio
 ICU: intensive care unit
 MV: mechanical ventilation
 NAI: neuraminidase inhibitor

 OR: odds ratio
 PaO2/FiO2: ratio of partial pressure of oxygen in arterial blood to inspired fraction of oxygen
 SAPS: Simplified Acute Physiology Score
 SOFA: Sequential Organ Failure Assessment

1.1. Analysis.

Comparison 1 Corticosteroid therapy versus no corticosteroid therapy, Outcome 1 Mortality following admission, hospitalised participants ‐ studies reporting odds ratios.

2.

2

Forest plot of comparison: 1 Corticosteroid therapy versus no corticosteroid therapy, Outcome: 1.1 Death following admission, hospitalised participants ‐ mortality ‐ studies reporting odds ratios.

1.2. Analysis.

Comparison 1 Corticosteroid therapy versus no corticosteroid therapy, Outcome 2 Mortality following admission, hospitalised participants ‐ studies reporting hazard ratios.

3.

3

Forest plot of comparison: 1 Corticosteroid therapy versus no corticosteroid therapy, Outcome: 1.2 Death following admission, hospitalised participants ‐ mortality ‐ studies reporting hazard ratios.

The test for subgroup differences between adjusted and unadjusted mortality was not statistically significant (P = 0.06). There was no clear indication of publication bias on funnel plot analysis (Figure 4).

4.

4

Funnel plot of studies reporting mortality.

Sensitivity analysis

Pooled analysis of 15 studies investigating individuals with 2009 influenza A H1N1 virus (H1N1pdm09) infection only, excluding two studies of seasonal influenza and influenza A/H5N1 (Huang 2017; Liem 2009), found corticosteroid use to be associated with greater odds of mortality (OR 4.25, 95% CI 2.37 to 7.59 with high statistical heterogeneity (I2 = 71%)).

Subgroup analysis

A summary of outcomes according to the different corticosteroid regimens is shown in Table 5; the number of studies was insufficient to perform subgroup analyses according to the various reported regimens. Three studies categorised corticosteroid dose as low/low‐to‐moderate and high dose. One study compared low (defined as ≤ 80 mg/day methylprednisolone or equivalent) versus high doses of corticosteroid treatment (Xi 2010), with no difference in mortality risk (9/30 versus 8/22, P = 0.854). A retrospective cohort study of people with influenza A H7N9 in China stratified outcomes according to dose and reported that compared to controls, mortality in people receiving high‐dose corticosteroids (defined as > 150 mg/day of methylprednisolone or equivalent) was significantly greater (adjusted HR 3.05, 95% CI 1.28 to 7.25; P = 0.012), whereas in those participants treated with low to moderate doses of corticosteroids, the risk was not significantly different (HR 1.64, 95% CI 0.79 to 3.39; P = 0.183) (Cao 2016). A further large retrospective Chinese cohort study of 2141 people with influenza A H1N1 virus (H1N1pdm09) suggested that overall, corticosteroids had no effect on mortality (adjusted HR 0.80, 95% CI 0.56 to 1.15) (Li 2017). However, when participants were stratified according to disease severity as measured by their hypoxic status, low‐ to moderate‐dose corticosteroids (defined as 25 to 150 mg/day of methylprednisolone equivalent) were associated with decreased risk of mortality in hypoxic people (ratio of partial pressure of oxygen in arterial blood to inspired fraction of oxygen (PaO2/FiO2) < 300 mmHg), whereas high‐dose corticosteroids showed no benefit in this group (adjusted HR 0.49, 95% CI 0.32 to 0.77; P = 0.02 and adjusted HR 0.88, 95% CI 0.56 to 1.39; P = 0.581, respectively). In non‐hypoxic people (PaO2/FiO2 ≥ 300 mmHg), neither low‐ to moderate‐dose nor high‐dose corticosteroids had a significant effect on 30‐day mortality (adjusted HR 3.09, 95% CI 0.95 to 10.12; P = 0.062 and adjusted HR 1.70, 95% CI 0.23 to 12.65; P = 0.605, respectively), although low‐ to moderate‐dose corticosteroids were associated with greater mortality at 60 days (adjusted HR 3.70, 95% CI 1.20 to 11.34; P = 0.002).

4. Summary of studies reporting outcomes stratified according to different corticosteroid regimens.
Subgroup analysis Study Outcome Comments
Early and late CS therapy compared with no CS therapy Brun‐Buisson 2011 Hospital mortality
Early CS: HR 3.42, 95% CI 1.73 to 6.75; P = 0.001
Late CS: HR 1.93, 95% CI 0.84 to 4.43; P = 0.12
Early treatment defined as "within 3 days of mechanical ventilation".
Propensity score adjusted analysis
Early CS therapy versus late/no CS therapy groups combined Han 2011 Critical illness
RR 1.8, 95% CI 1.2 to 2.8
Early treatment defined as < 72 hours from influenza‐like illness.
Multivariate analysis following adjustment for underlying comorbid illnesses, age, pregnancy, and obesity
Low‐dose versus high‐dose CS therapy Xi 2010 In‐hospital mortality
9/30 versus 8/22, P = 0.854
Low‐dose CS therapy defined as ≤ 80 mg methylprednisolone or equivalent daily dose.
Unadjusted outcome
Low‐moderate‐dose and high‐dose CS therapy compared with no CS therapy Cao 2016 30‐day mortality
Low‐moderate‐dose CS: HR 1.64, 95% CI 0.79 to 3.39; P = 0.183
High‐dose CS: HR 3.05, 95% CI 1.28 to 7.25; P = 0.012
Low‐moderate‐dose CS therapy defined as 25 to 150 mg/day methylprednisolone or equivalent.
High‐dose CS therapy defined as > 150 mg/day methylprednisolone or equivalent.
Adjusted outcome
Low‐moderate‐dose and high‐dose CS therapy compared with no CS therapy Cao 2016 Viral shedding (median days)
Any dose CS = 14 (12 to 17) versus control = 12 (11 to 15); P = 0.027
Low‐moderate‐dose CS = 13 (10.3 to 16) versus control = 12 (10.5 to 15); P = 0.252
High‐dose CS = 15 (13.5 to 20) versus control = 13 (10.8 to 15.3); P = 0.039
Low‐moderate‐dose CS therapy defined as 25 to 150 mg/day methylprednisolone or equivalent.
High‐dose CS therapy defined as > 150 mg/day methylprednisolone or equivalent.
Propensity score adjusted analyses
Low‐dose versus high‐dose CS therapy and stratification by hypoxic status Li 2017 30‐day mortality all participants
Any dose CS: aHR 0.80, 95% CI 0.56 to 1.15; P = 0.230
Low‐moderate‐dose CS: aHR 0.64, 95% CI 0.43 to 0.96; P = 0.033
High‐dose CS: aHR 0.91, 95% CI 0.58 to 1.44; P = 0.694
30‐day mortality, only participants with PaO2/FiO2< 300 mmHg
Any dose CS: aHR 0.67, 95% CI 0.46 to 0.98; P = 0.038
Low‐moderate‐dose CS: aHR 0.49, 95% CI 0.32 to 0.77; P = 0.002
High‐dose CS: aHR 0.88, 95% CI 0.56 to 1.39; P = 0.581
30‐day mortality, only participants with PaO2/FiO2 ≥ 300 mmHg
Any dose CS: aHR 2.43, 95% CI 0.82 to 7.15; P = 0.108
Low‐moderate‐dose CS: aHR 3.09, 95% CI 0.95 to 10.12; P = 0.062
High‐dose CS: aHR 1.70, 95% CI 0.23 to 12.65; P = 0.605
Low‐moderate‐dose CS therapy defined as 25 to 150 mg/day methylprednisolone or equivalent.
High‐dose CS therapy defined as > 150 mg/day methylprednisolone or equivalent.

aHR: adjusted hazard ratio
 CI: confidence interval
 CS: corticosteroid
 HR: hazard ratio
 PaO2/FiO2: ratio of partial pressure of oxygen in arterial blood to inspired fraction of oxygen
 RR: risk ratio

Two studies compared early versus later/no corticosteroid treatment; one defined early treatment as within three days of mechanical ventilation (Brun‐Buisson 2011), and the other as within three days from the onset of symptoms (Han 2011). Outcomes stratified according to age group (children versus adults) and route of corticosteroid administration (intravenous versus oral) were not reported in the studies included in this review.

2. Rate of admission to intensive care units

Studies reporting outcomes other than mortality are summarised in Table 6. Of the studies that were not conducted entirely in an ICU setting (n = 21), two studies reported composite outcomes including ICU admission ("critical disease"), which were stratified according to corticosteroid therapy (Han 2011; Jain 2009). A retrospective cohort study in the USA of individuals hospitalised with 2009 influenza A H1N1 virus (H1N1pdm09) infection reported a greater risk of critical care admission/death (unadjusted OR 2.37, 95% CI 1.29 to 4.37) associated with corticosteroid therapy (Jain 2009). In the other retrospective cohort study from China, the risk of critical disease (defined as death, respiratory failure, septic shock, failure or insufficiency of ≥ 2 non‐pulmonary organs, mechanical ventilation, or ICU admission) adjusted for comorbid illness, obesity, and pregnancy was greater in the group treated with corticosteroid therapy (adjusted risk ratio (RR) 2.4, 95% CI 1.3 to 4.4) (Han 2011). Two further studies presented data on ICU admission (Li 2017; Wirz 2016). In the first study, an RCT, no increased risk of ICU admission was seen on subgroup analysis of people with community‐acquired pneumonia due to confirmed seasonal influenza (unadjusted OR 1.2, 95% CI 0.07 to 21.72), although the number of people with confirmed influenza in each study arm was small (Wirz 2016). In the second study, a large retrospective cohort study from mainland China, there was an increased risk of ICU admission in people admitted with 2009 influenza A H1N1 viral pneumonia and treated with corticosteroids (unadjusted OR 5.13, 95% CI 4.26 to 6.17) (Li 2017). We graded the certainty of the evidence specific for ICU admission as very low (Table 1).

5. Summary of studies reporting relevant outcomes other than mortality.
Outcome Study Group treated with corticosteroids Group not treated with corticosteroids Unadjusted estimate of effect
Critical disease Han 2011 Early CS
12/17 (70.6)
Late or no CS
26/66 (39.4)
RR 1.8, 95% CI 1.2 to 2.8†
Composite outcome of ICU admission/death Jain 2009 29/86 (33.7) 27/153 (17.6) OR 2.37, 95% CI 1.29 to 4.37
ICU admission Li 2017 678/1055 282/1086 OR 5.13, 95% CI 4.26 to 6.17
ICU admission Wirz 2016 1/11 (9.1) 1/13 (7.7) OR 1.2, 95% CI 0.07 to 21.72
Rate of MV Kim 2011 91/107 (85.0) 71/138 (51.4) OR 5.37, 95% CI 2.87 to 10.05
Rate of MV Linko 2011 53/72 (73.6) 14/60 (23.3) OR 9.17, 95% CI 4.14 to 20.30
Rate of MV Li 2017 367/1055 (34.8) 49/1086 (4.5) OR 11.29, 95% CI 8.25 to 15.44
Rate of MV Moreno 2018 506/604 (83.8) 921/1242 (74.2) OR 1.78, 95% CI 1.35 to 2.35
Length of ICU stay: median days (IQR) Brun‐Buisson 2011 22 (13 to 39) 17 (11 to 30) P = 0.11
Length of ICU stay: median days (IQR) Moreno 2018 10 (5 to 19) 8 (5 to 18) P = 0.50
LOS: mean days (SD) Kim 2011 30.8 (36.9) 18.9 (20.0) P < 0.001
LOS:
median days (IQR)
Kudo 2012 8.2 (5 to 14) 7.7 (3 to 14) P = 0.607
LOS: median days (IQR) Linko 2011 20 (12 to 34) 8 (5 to 13) P < 0.001
LOS Al‐Busaidi 2016 Not reported Not reported MV coefficient 2.06, 95% CI 1.55 to 2.74 (adjusted for severity)
LOS Lee 2015 Not reported Not reported Beta coefficient = 3.15 (95% CI 2.19 to 4.10); P < 0.001
Time to effective hospital discharge: mean days (SD) Wirz 2016 9.2 (9.4) 10.4 (8.0) Unadjusted difference ‐1.57, 95% CI ‐8.78 to 5.65; adjusted difference ‐2.24, 95% CI ‐9.61 to 5.12
Hospital readmission at 30 days postdischarge Wirz 2016 1/11 (9.1) 1/13 (7.7) OR 1.2, 95% CI 0.07 to 21.72; aOR 1.01, 95% CI 0.03 to 37.36
Time to clinical stability: median days (IQR) Wirz 2016 4.0 (1.4 to 7.0) 5.0 (3.0 to 10.4) Unadjusted HR 1.26, 95% CI 0.54 to 2.92; adjusted HR 4.50, 95% CI 1.17 to 17.25

aOR: adjusted odds ratio
 CI: confidence interval
 CS: corticosteroid
 HR: hazard ratio
 ICU: intensive care unit
 IQR: interquartile range
 LOS: length of stay
 MV: mechanical ventilation
 OR: odds ratio
 RR: risk ratio
 SD: standard deviation

† Adjusted risk ratio 1.8, 95% CI 1.2 to 2.8 (following adjustment for comorbid illnesses, age, pregnancy, and obesity).

Studies in the community setting

We did not identify any studies conducted entirely in a community setting.

1. Rate of hospitalisation

None of the included studies reported this outcome stratified according to corticosteroid use.

2. Time to resolution of symptoms

None of the included studies reported this outcome stratified according to corticosteroid use.

3. 30‐day mortality

None of the included studies reported this outcome stratified according to corticosteroid use.

Secondary outcomes

Studies of hospitalised participants
1. Hospital readmission rate at 30 days postdischarge

One study, an RCT of oral corticosteroid versus placebo in people with community‐acquired pneumonia, did not show a significant difference in readmission rates between the small numbers of influenza‐confirmed people in the two groups, with one readmission in both the corticosteroids‐treated arm (n = 11) and the placebo arm (n = 13) (Wirz 2016).

2. Number and nature of adverse events secondary to corticosteroid use, such as incidence of gastrointestinal bleeding, hospital‐acquired infections, and metabolic complications (e.g. hyperglycaemia, hypernatraemia)

A summary of studies reporting hospital‐acquired infections according to corticosteroid use is shown in Table 7. Seven studies presented data on the association between corticosteroid treatment and hospital‐acquired infection. In four of these studies, corticosteroid use was associated with an increased risk of developing a hospital‐acquired infection (Kim 2011; Lee 2015; Li 2017; Viasus 2011), while the remaining three studies did not show significantly increased unadjusted odds of developing infection (Brun‐Buisson 2011; Cao 2016; Delaney 2016). Overall, people treated with corticosteroids had greater odds of developing secondary infection than those who did not receive corticosteroids on pooled analysis (unadjusted OR 2.74, 95% CI 1.51 to 4.95; I2 = 90%; 6114 participants; 7 studies; Analysis 1.3; Figure 5). However, there was a very high degree of statistical heterogeneity (I2 = 90%), and we graded the certainty of the evidence related to hospital‐acquired infection as very low (Table 1).

6. Summary of studies reporting corticosteroid‐related adverse events or nosocomial infection.
Adverse effect Study Group treated with corticosteroids Group not treated with corticosteroids Unadjusted estimate of effect
ICU‐acquired infection Brun‐Buisson 2011 38/83 (45.8) 44/125 (35.2) OR 1.55, 95% CI 0.88 to 2.74
Hospital‐acquired infection Kim 2011 54/107 (50.5) 24/138 (17.4) OR 4.84, 95% CI 2.71 to 8.65
Hospital‐acquired infection Viasus 2011 6/37 (16.2) 4/129 (3.1) OR 6.05, 95% CI 1.61 to 22.75
Hospital‐acquired infection Cao 2016 17/65 (26.2) 18/65 (27.2) OR 0.92, 95% CI 0.42 to 2.00
Hospital‐acquired infection Delaney 2016 92/265 (32.8) 89/310 (27.5) OR 1.32, 95% CI 0.93 to 1.88
Hospital‐acquired infection Lee 2015 58/600 (9.7) 55/2049 (2.7) P < 0.001
Hospital‐acquired infection Li 2017 227/1055 (21.5) 46/1086 (4.2) OR 6.20, 95% CI 4.46 to 8.62

CI: confidence interval
 ICU: intensive care unit
 OR: odds ratio

1.3. Analysis.

Comparison 1 Corticosteroid therapy versus no corticosteroid therapy, Outcome 3 Adverse events secondary to corticosteroid use: hospital‐acquired infection in hospitalised participants.

5.

5

Forest plot of comparison: 1 Corticosteroid therapy versus no corticosteroid therapy, Outcome: 1.3 Hospital‐acquired infection in hospitalised participants.

3. Proportion of participants requiring mechanical ventilation

Four studies reported greater unadjusted odds for mechanical ventilation in the group treated with corticosteroid therapy, with unadjusted ORs ranging from 1.78 (95% CI 1.35 to 2.35) to 11.29 (95% CI 8.25 to 15.44) (Table 6) (Kim 2011; Li 2017; Linko 2011; Moreno 2018). We graded the certainty of the evidence for mechanical ventilation as very low (Table 1).

4. Length of stay in hospital

Seven studies reported length of stay according to corticosteroid use; all but one study, Al‐Busaidi 2016, were unadjusted for disease severity (Table 6). Four studies found a longer length of stay associated with corticosteroid use (Al‐Busaidi 2016; Kim 2011; Lee 2015; Linko 2011), while the other studies reported no statistically significant difference between groups (Brun‐Buisson 2011; Kudo 2012; Moreno 2018).

One study analysed the mean time to effective hospital discharge in people with laboratory‐confirmed influenza community‐acquired pneumonia treated with corticosteroid versus those receiving placebo, finding no significant difference between groups (adjusted difference ‐2.24 days, 95% CI ‐9.61 to 5.12) (Wirz 2016).

Studies in the community setting
1. Number and nature of adverse events secondary to corticosteroid use

None of the included studies reported this outcome stratified according to corticosteroid use.

Impact of systemic corticosteroid use prior to the diagnosis of influenza

A study of corticosteroid use for the treatment of graft versus host disease in haematopoietic stem cell transplant recipients, in the two weeks prior to the diagnosis of seasonal influenza, found no observed differences in time to death between individuals receiving low‐dose corticosteroid therapy (< 1 mg/kg/day of methylprednisolone) (adjusted HR 1.1, 95% CI 0.4 to 3.6) and high‐dose corticosteroid therapy (≥ 1 mg/kg/day of methylprednisolone) (adjusted HR 1.1, 95% CI 0.3 to 3.5), in comparison to no prior corticosteroid therapy (Boudreault 2011). A mixed cohort of outpatients and inpatients with seasonal influenza reported increased odds of "complicated influenza" (defined as the need for hospitalisation due to pneumonia, neurological complications, invasive bacterial infection, myocarditis, or pericarditis) associated with corticosteroid therapy (adjusted OR 12.19, 95% CI 3.26 to 45.53) (Wu 2012). Corticosteroid therapy in the 90 days prior to hospital admission was independently associated with poor outcome (defined as a composite outcome of ICU admission and death) (adjusted OR 3.37, 95% CI 1.39 to 8.20) in a study of individuals hospitalised with 2009 influenza A H1N1 virus (H1N1pdm09) infection (Delgado‐Rodriguez 2012). A retrospective database study of people under 65 years with confirmed seasonal influenza found that regular oral steroid use for at least 30 days during a 6‐month baseline period prior to diagnosis was independently associated with hospitalisation for influenza (adjusted HR 2.35, 95% CI 1.12 to 4.91) compared to no prior steroid use (Ono 2016).

Discussion

Summary of main results

In the first publication of this review we did not identify any RCTs reporting the impact of adjunctive corticosteroids therapy on clinical outcomes in people with influenza, and the available evidence from observational studies was of very low quality, suggesting that corticosteroid therapy might be associated with up to three‐fold greater odds of mortality. We included an additional 12 studies in this 2018 update. One of the additional studies was an RCT, but the inclusion of this study has not affected our overall conclusions, as it was not powered for mortality, our primary outcome of interest, and had only a very small number of participants with laboratory‐confirmed influenza in both the treatment and placebo arms. The remaining additional studies were all observational in design, and their inclusion in the meta‐analyses still suggests an overall increased risk of mortality with corticosteroid treatment. Two of the more recent studies indicate that the risk may be related to corticosteroid dose, one suggesting that high‐dose corticosteroids may be associated with a greater risk than low‐ to moderate‐dose corticosteroids, and the other indicating that low to moderate doses may be beneficial in hypoxic patients only, whereas high‐dose corticosteroids may be of no benefit. However, the overall certainty of the evidence remains very low, and these results should be interpreted with caution.

Overall completeness and applicability of evidence

The findings of this review must be viewed in light of two important considerations. Firstly, the indications for corticosteroid therapy were not fully specified in many studies. In some instances, the stated rationale was adult respiratory distress syndrome (ARDS) and septic shock (Brun‐Buisson 2011; Kim 2011; Xi 2010). However, at one extreme, corticosteroid therapy may have been used as 'a last attempt' in individuals with refractory illness. Conversely, they may have been used to treat less severe underlying comorbid illnesses such as exacerbations of asthma. Many of studies included in this review relate to the 2009 pandemic, when revised guidance from the World Health Organization in February 2010 would have applied (WHO 2010). However, adherence to that guidance, which recommended that "patients who have severe or progressive clinical illness, including viral pneumonitis, respiratory failure and ARDS due to influenza virus infection, should not be given systemic corticosteroids unless indicated for other reasons or as part of an approved research protocol" is not known. Over the same period, the 'Surviving Sepsis Campaign' recommended the use of corticosteroid therapy only in the setting of vasopressor‐dependent septic shock (Dellinger 2013). These guidelines were updated in 2016, maintaining the weak recommendation based on low‐quality evidence against the use of corticosteroids to treat septic shock in patients if adequate fluid resuscitation and vasopressor therapy are able to restore haemodynamic stability (Rhodes 2017). A more recently developed clinical practice guideline triggered by the publication of the results of two large clinical trials makes a weak recommendation for corticosteroids in people with sepsis, stating that "both steroids and no steroids are reasonable management options" (Lamontagne 2018). The use of corticosteroids in the context of influenza infection, but for different clinical indications (notably asthma), has been previously shown to be associated with different outcomes (Myles 2013); this may reflect both the different mechanisms of action of corticosteroids depending on the underlying pathophysiology and the impact of bias by indication in reports from observational studies. This is compounded by the lack of consistent adjustment for disease severity across available studies.

The second consideration relates to the doses of corticosteroids used. These were poorly specified in many instances and, where reported, a higher daily dose was used (prednisolone equivalent > 50 mg daily) than is typically recommended for the treatment of septic shock or exacerbations of airways disease such as asthma (BTS 2016; NICE 2010; Rhodes 2017). Variability in corticosteroid dose and administration schedule are both factors associated with treatment outcomes in the setting of severe sepsis; in particular, high doses given in short bursts have not been associated with benefit compared to low doses given for longer durations (≥ 5 days) (Annane 2015). A more recent subgroup analysis failed to identify credible effect modification with corticosteroid dose, although most studies used hydrocortisone with or without fludrocortisone at a low dose (< 400 mg/day of hydrocortisone equivalent) and over a long duration (> 2 days) (Rochwerg 2018). The use of higher doses of corticosteroids may explain the greater risk from secondary bacterial pneumonias due to Staphylococcus aureus,Klebsiella pneumoniae,Acinetobacter baumannii,and Pseudomonas aeruginosa observed with corticosteroid therapy in some studies (Kim 2011; Li 2017). In another study, corticosteroid use was also found to be an independent risk factor for the development of invasive fungal infections in adults admitted to the ICU with influenza (Wauters 2012).

The mechanisms behind potential harm from corticosteroids, aside from the risks from hospital‐acquired infections, are not well defined. In one study included in this review, prolonged viral shedding as assessed by real‐time reverse transcription‐polymerase chain reaction (RT‐PCR) was noted in those treated with high‐dose corticosteroids compared to those who did not receive corticosteroids (Cao 2016). In people with influenza A (H3N2) infection, systemic corticosteroid use for exacerbations of asthma or chronic obstructive pulmonary disease was found to be associated with delayed viral clearance (Lee 2009). A study of individuals hospitalised with 2009 influenza A H1N1 virus (H1N1pdm09) infection found that corticosteroid therapy was associated with persistent viral shedding (defined as the detection of virus on RT‐PCR at day 7 after diagnosis on nasopharyngeal swabs) (Giannella 2011). A similar observation was made in haematopoietic stem cell transplant recipients with 2009 influenza A H1N1 virus (H1N1pdm09) infection (Choi 2011). In turn, slower clearance of viral load was associated with mortality from ARDS in people with 2009 influenza A H1N1 virus (H1N1pdm09) infection (To 2010). Though causation cannot be inferred from these studies, exposure to systemic corticosteroids without concurrent antiviral treatment, as was likely for some participants in the studies reviewed, may proffer the highest risk of harm (Jain 2009; Wu 2012).
 
 There was no evidence of publication bias in the effect of corticosteroids on the odds of mortality, where we found that the treatment effects in smaller studies were similar to those estimated in the larger studies. Although the test was likely to have sufficient power from including 15 studies in the funnel plot, we acknowledge their limitation of being subjective.

Quality of the evidence

The pooled analysis of mortality showed high statistical heterogeneity, most likely due to the inclusion of unadjusted estimates of mortality. Clinical heterogeneity was apparent across the included studies. Specifically, disease severity was measured using a wide variety of clinical risk scores, and mortality was reported at different time points; the rationale for corticosteroid use was inconsistent across studies; there was variation in the treatment groups with regard to the timing, dosage, duration, and type of corticosteroid used; and the co‐interventions for the comparator groups across studies were not uniform, as varying proportions of adults were treated with antivirals or antibiotics, or both. We graded the overall certainty of the evidence for mortality, adverse events, rate of mechanical ventilation, and critical disease as very low due to the high likelihood of indication bias, and clinical and statistical heterogeneity among the included observational studies (Table 1).

Potential biases in the review process

The identified evidence consists solely of observational data apart from one RCT that included only a very small subset of people with laboratory‐confirmed influenza, and in which the primary outcome measure was time to clinical stability, rather than mortality, and so was not powered for our main outcome of interest. We noted a high degree of correlation between corticosteroid therapy and potential confounders for measured outcomes (such as disease severity and the presence of comorbid illness) in some studies (Delaney 2016; Kim 2011; Li 2017; Linko 2011; Viasus 2011), hence unadjusted effect estimates are likely to be confounded by indication.

Agreements and disagreements with other studies or reviews

Two systematic reviews and meta‐analyses have been published since the original version of this review (Yang 2015b; Zhang 2015). As in this review, they both found an apparently increased risk of mortality in people with influenza treated with corticosteroids, however all the data were observational and likely to be biased by indication, and the authors concluded that the evidence did not support the use of corticosteroids as standard care for people with severe influenza (Zhang 2015), and that physicians should use caution when considering corticosteroid treatment in people with influenza infection (Yang 2015b). Zhang 2015 searched only for studies relating to influenza A H1N1 pdm2009 published in English or Chinese but also included case‐control studies, which we decided to exclude due to the inability to determine temporal effects of corticosteroids on the development of non‐mortality outcomes. The authors reported a risk ratio (RR) for mortality of 1.85 (95% CI 1.46 to 2.33) from 9 cohort studies (n = 1405), and 4.22 (95% CI 3.10 to 5.76) from 14 case‐control studies (n = 4700). Yang 2015b searched for relevant studies of any influenza subtype and included 19 studies in their meta‐analysis, finding an association between corticosteroid treatment and mortality (unadjusted OR 1.98, 95% CI 1.62 to 2.43; I2 = 9%; adjusted OR 1.77, 95% CI 1.40 to 2.23, I2 = 40%). The authors also reported an increased risk of hospital‐acquired infection with corticosteroid use (OR 3.16, 95% CI 2.09 to 4.78; I2 = 54%), which is in accordance with our findings on meta‐analysis (OR 2.74, 95% CI 1.51 to 4.95), although we reported a higher level of statistical heterogeneity (I2 = 90%). Although there was overlap in the included studies between this review and the other reviews, our review included several studies that were not included in one or both of the other reviews (Balaganesakumar 2013; Boudreault 2011; Delgado‐Rodriguez 2012; Han 2011; Jain 2009; Kim 2011; Li 2012; Liem 2009; Linko 2011; Mady 2012; Patel 2013; Sertogullarindan 2011; Wu 2012). Two studies included in Zhang 2015 that were not included in our original review met our inclusion criteria were added to this 2018 update (Kinikar 2012; Yu 2011a).

We did not include a large, multicentre prospective cohort study of 220 individuals admitted to ICUs across Europe with 2009 influenza A H1N1 virus (H1N1pdm09) infection in this review due to overlapping study populations; this study found no association between corticosteroid use and ICU admission and ICU mortality after adjustment for age, comorbid illnesses, and disease severity (adjusted HR 1.3, 95% CI 0.7 to 2.4; P = 0.4) (Martin‐Loeches 2011).

The association between increased mortality odds and adjunctive corticosteroid therapy as found in this review is also in contrast to the evidence base from clinical trials of corticosteroids in the setting of sepsis and pneumonia. Specifically, a meta‐analysis of 42 RCTs (n = 10,194) of corticosteroids in severe sepsis concluded that corticosteroids may achieve a small reduction or no reduction in the RR for dying in the short term (28 to 31 days) (RR 0.93, 95% CI 0.84 to 1.03), with a possible small decrease in longer‐term mortality (60 days to 1 year) (RR 0.94, 95% CI 0.89 to 1.00) (Rochwerg 2018). This most recent systematic review included the results of two recent large RCTs, the Activated Protein C and Corticosteroids for Human Septic Shock (APROCCHSS) trial (n = 1241) and the Adjunctive Glucocorticoid Therapy in Patients with Septic Shock trial (n = 3800) (Annane 2018; Venkatesh 2018). A meta‐analysis of 12 RCTs (n = 1974) of adults with community‐acquired pneumonia concluded that adjunctive corticosteroid therapy may reduce mortality, the need for mechanical ventilation, and hospital length of stay (Siemieniuk 2015). Decreased mortality with adjuvant corticosteroid treatment was also found in adults with severe community‐acquired pneumonia, but not in those with non‐severe pneumonia, in a meta‐analysis of 17 RCTs with 2264 participants; time to clinical cure, length of hospital stay, and the development of respiratory failure or shock were also decreased (Stern 2017).

Other recent meta‐analyses have also noted an association between adjuvant corticosteroid therapy and decreased mortality in a subset of people with severe community‐acquired pneumonia, as well as decreased length of hospital stay and decreased time to clinical stability (Bi 2016 (8 RCTs; n = 528); Horita 2015 (10 RCTs; n = 1780); Marti 2015 (14 RCTs; n = 2077); and Wu 2018 (10 RCTs; n = 729)). Two further systematic reviews and meta‐analyses did not find an effect of adjuvant corticosteroids on mortality, either overall or in severely ill cases, but both reported decreased length of hospital stay (Chen 2015 (7 RCTs; n = 944); Wan 2016 (9 RCTs; n = 1667 and 6 cohort studies; n = 4095)). One of the reviews also found that corticosteroid therapy was associated with a decreased risk of ARDS and may reduce the duration of intravenous antibiotic therapy and time to clinical stability (Wan 2016). Larger trials of corticosteroid therapy in severe pneumonia are in progress and should provide more robust data within the next few years (NCT01743755; NCT02517489).

Authors' conclusions

Implications for practice.

The available evidence from this updated review is from observational studies and one randomised controlled trial of limited relevance and remains, as in the original review, of very low‐quality with confounding by indication a major potential concern. There is insufficient evidence in this updated review to determine the effectiveness of corticosteroids for people with influenza. There is a need for more robust evidence on the role of corticosteroids in the management of influenza before a firm recommendation for clinical practice can be made.

Implications for research.

The most important need is for high‐quality, blinded randomised controlled trials, which will minimise the biases inherent in observational designs and thereby provide the necessary evidence base to inform future clinical practice. Future observational studies investigating corticosteroids for the treatment of influenza should state the precise rationale for the administration of corticosteroid therapy in study participants (such as treatment of complications of influenza, comorbid illness, or use solely as adjunctive therapy). The regimens of corticosteroid therapy should be explicitly stated with regard to the dose, timing of initiation, and duration of therapy, and differences in regimens need to be considered when interpreting the results of studies. Differences in the administration of co‐interventions between corticosteroid‐treated and untreated groups, including antiviral drugs and antibiotics, also need to be accounted for. Outcome measures need to be adjusted for potential confounders including imbalances in baseline characteristics and disease severity at the very least. A meta‐analysis of individual patient level data from observational studies may be able to overcome some of the inconsistencies across study‐level data.

What's new

Date Event Description
13 September 2019 Amended A review author (CR) amended his declaration of interest statement in response to a request by the Cochrane Funding Arbiter.

History

Protocol first published: Issue 2, 2013
 Review first published: Issue 3, 2016

Date Event Description
3 October 2018 New citation required but conclusions have not changed Our conclusions remain unchanged.
3 October 2018 New search has been performed A new author (LL) joined the review team.
We updated the searches and included 12 new studies (Al‐Busaidi 2016; Cao 2016; Delaney 2016; Huang 2017; Kinikar 2012; Lee 2015; Li 2017; Moreno 2018; Ono 2016; Sheu 2017; Wirz 2016; Yu 2011a). We excluded one previously included study (Diaz 2012), as it has been superceded by a later study (Moreno 2018). We excluded 19 new studies (Chen 2010; Chien 2010; Chotpitayasunondh 2005; Dominguez‐Cherit 2016; Hien 2009; Hong 2013; Jung 2011; Leon 2017; Perez‐Padilla 2009; Rios 2011; Segaloff 2017; Singh 2017; Sun 2010; Torres 2012; Vilar‐Compte 2018; Yale 2015; Yang 2015a; Zhang 2011; Zhang 2013).

Acknowledgements

We are grateful to the following individuals for commenting on the draft protocol: Vinod Singh, Noorin Bhimani, Harri Hemilä, Rashmi Das, Sree Nair, and Lubna Al‐Ansary; and for commenting on the draft review: Jenny Negus, Marco Confalonieri, Rashmi Das, Conor Teljeur, and Lubna Al‐Ansary. We wish to thank the following domain experts for ensuring that we have identified pertinent studies in our literature search: Frederick Hayden, David Hui, Nelson Lee, and Djillali Annane. For this update we would like to thank Vadsala Baskaran, Sara Belazi, Hannah Lawrence, and Harry Pick for their help with data extraction.

Appendices

Appendix 1. MEDLINE (Ovid) and CENTRAL search strategy

1 Influenza, Human/
 2 exp Influenzavirus A/
 3 exp Influenzavirus B/
 4 (influenza* or flu).tw.
 5 (h1n1 or h5n1 or h3n2).tw.
 6 or/1‐5
 7 exp Adrenal Cortex Hormones/
 8 corticosteroid*.tw,nm.
 9 adrenal cortex hormon*.tw.
 10 (adren* cortic* adj1 (hormone* or steroid*)).tw.
 11 adrenocorticosteroid*.tw,nm.
 12 adrenocorticoid*.tw,nm.
 13 corticoid*.tw,nm.
 14 glucocorticoid*.tw,nm.
 15 hydroxycorticosteroid*.tw,nm.
 16 exp Steroids/
 17 steroid*.tw,nm.
 18 (hydrocortisone* or prednisolone* or prednisone* or dexamethasone* or methylprednisolone*).tw,nm.
 19 or/7‐18
 20 6 and 19

Appendix 2. Embase (Elsevier) search strategy

#42 #18 AND #41
 #41 #26 OR #40
 #40 #27 OR #28 OR #29 #30 OR #31 OR #32 OR #33 OR #34 OR #35 OR #36 OR #37 OR #38 OR #39
 #39 ('cross sectional' NEXT/1 (study OR studies)):ab,ti
 #38 (epidemiologic* NEXT/1 (study OR studies)):ab,ti
 #37 (observational NEXT/1 (study OR studies)):ab,ti
 #36 ('follow up' NEXT/1 (study OR studies)):ab,ti
 #35 ('case control' NEXT/1 (study OR studies)):ab,ti
 #34 (cohort NEXT/1 (study OR studies)):ab,ti
 #33 'cohort analysis'/de
 #32 'prospective study'/de
 #31 'retrospective study'/de
 #30 'longitudinal study'/de
 #29 'family study'/de
 #28 'case control study'/de
 #27 'clinical study'/de
 #26 #21 NOT #25
 #25 #22 NOT #24
 #24 #22 AND #23
 #23 'human'/de
 #22 'animal'/de OR 'nonhuman'/de OR 'animal experiment'/de
 #21 #19 OR #20
 #20 random*:ab,ti OR placebo*:ab,ti OR crossover*:ab,ti OR 'cross over':ab,ti OR allocat*:ab,ti OR trial:ti OR (doubl* NEXT/1 blind*):ab,ti
 #19 'randomized controlled trial'/exp OR 'single blind procedure'/exp OR 'double blind procedure'/exp OR 'crossover procedure'/exp
 #18 #5 AND #17
 #17 #6 OR #7 OR #8 OR #9 OR #10 OR #11 OR #12 OR #13 OR #14 OR #15 OR #16
 #16 hydrocortisone*:ab,ti OR prednisolone*:ab,ti OR prednisone*:ab,ti OR dexamethasone*:ab,ti OR methylprednisolone*:ab,ti
 #15 steroid*:ab,ti
 #14 'steroid'/exp
 #13 hydroxycorticosteroid*:ab,ti
 #12 glucocorticoid*:ab,ti
 #11 corticoid*:ab,ti
 #10 adrenocorticoid*:ab,ti
 #9 adrenocorticosteroid*:ab,ti
 #8 (adren* NEAR/2 (hormon* OR steroid*)):ab,ti
 #7 corticosteroid*:ab,ti
 #6 'corticosteroid'/exp
 #5 #1 OR #2 OR #3 OR #4
 #4 h1n1:ab,ti OR h5n1:ab,ti OR h3n2:ab,ti
 #3 influenza*:ab,ti OR flu:ab,ti
 #2 'influenza virus a'/exp OR 'influenza virus b'/de
 #1 'influenza'/exp

Appendix 3. CINAHL (EBSCO) search strategy

S17 S7 OR S8 OR S9 OR S10 OR S11 OR S12 OR S13 OR S14 OR S15 OR S16
 S16 TI (hydrocortisone* or prednisolone* or prednisone* or dexamethasone* or methylprednisolone*) OR AB (hydrocortisone* or prednisolone* or prednisone* or dexamethasone* or methylprednisolone*)
 S15 TI steroid* OR AB steroid*
 S14 (MH "Steroids+")
 S13 TI hydroxycorticosteroid* OR AB hydroxycorticosteroid*
 S12 TI glucocorticoid* OR AB glucocorticoid*
 S11 TI corticoid* OR AB corticoid*
 S10 TI adrenocortic* OR AB adrenocortic*
 S9 TI (adren* N2 (hormone* or steroid*)) OR AB (adren* N2 (hormone* or steroid*))
 S8 TI corticosteroid* OR AB corticosteroid*
 S7 (MH "Adrenal Cortex Hormones+")
 S6 S1 OR S2 OR S3 OR S4 OR S5
 S5 TI (h1n1 or h5n1 or h3n2 ) OR AB ( h1n1 or h5n1 or h3n2)
 S4 TI (influenza* or flu) OR AB ( influenza* or flu)
 S3 (MH "Influenza B Virus")
 S2 (MH "Influenzavirus A+")
 S1 (MH "Influenza+")

Appendix 4. LILACS (BIREME) search strategy

(mh:"Influenza, Human" OR influenza$ OR flu OR grippe OR or gripe OR mh:"Influenzavirus A" OR mh:b04.820.545.405$ OR mh:b04.909.777.545.405$ OR mh:"Influenzavirus B" OR mh:b04.820.545.407$ OR mh:b04.909.777.545.407$ OR h1n1 OR h5n1 OR h3n2) AND (mh:"Adrenal Cortex Hormones" OR mh:d06.472.040$ OR corticoesteroides OR corticosteróides OR corticoid$ OR corticosteroid$ OR "adrenal cortex hormone" OR "adrenal cortex hormones" OR adrenocorticosteroid$ OR glucocorticoid$ OR hydroxycorticosteroid$ OR mh:glucocorticoids OR glucocorticóides OR mh:steroids OR esteróides OR mh:d04.808$ OR hydrocortison$ OR hidrocortisona OR mh:prednisolone OR prednisolone OR prednisolona OR mh:prednisone OR prednisone OR prednisona OR mh:dexamethasone OR dexamethasone OR dexametasona OR mh:methylprednisolone OR methylprednisolone OR metilprednisolona) AND db:("LILACS") AND type_of_study:("clinical_trials" OR "case_control" OR "cohort" OR "overview" OR "systematic_reviews")

Appendix 5. Web of Science (Thomson Reuters) search strategy

# 5 361 #4 AND #1
Databases=SCI‐EXPANDED, SSCI, A&HCI, CPCI‐S, CPCI‐SSH, CCR‐EXPANDED, IC Timespan = All Years
     
# 4 2,897,717 #3 OR #2
Databases=SCI‐EXPANDED, SSCI, A&HCI, CPCI‐S, CPCI‐SSH, CCR‐EXPANDED, IC Timespan = All Years
 
       
# 3 1,700,524 Topic=((case NEAR/1 control) or cohort or "follow up" or observational or longitudinal or retrospective or prospective or cross‐section* or "cross sectional")
Databases=SCI‐EXPANDED, SSCI, A&HCI, CPCI‐S, CPCI‐SSH, CCR‐EXPANDED, IC Timespan = All Years
 
       
# 2 1,425,723 Topic=(random* or placebo* or crossover* or "cross over" or allocat* or ((doubl* or singl*) NEAR/1 (blind* or mask*))) OR Title=(trial)
Databases=SCI‐EXPANDED, SSCI, A&HCI, CPCI‐S, CPCI‐SSH, CCR‐EXPANDED, IC Timespan = All Years
 
       
# 1 1,082 Topic=(influenza* or flu or h1n1 or h5n1 or h3n2) AND Topic=("adrenal cortex hormone*" or corticosteroid* or adrenocorticosteroid* or adrenocorticoid* or corticoid* or glucocorticoid* or hydroxycorticosteroid* or steroid* or hydrocortisone* or prednisolone* or prednisone* or dexamethasone* or methylprednisolone*)
Databases=SCI‐EXPANDED, SSCI, A&HCI, CPCI‐S, CPCI‐SSH, CCR‐EXPANDED, IC Timespan = All Years
 

Data and analyses

Comparison 1. Corticosteroid therapy versus no corticosteroid therapy.

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
1 Mortality following admission, hospitalised participants ‐ studies reporting odds ratios 15 2212 Odds Ratio (Random, 95% CI) 3.90 [2.31, 6.60]
1.1 Unadjusted mortality 10 1006 Odds Ratio (Random, 95% CI) 4.79 [2.35, 9.79]
1.2 Adjusted mortality 5 1206 Odds Ratio (Random, 95% CI) 2.23 [1.54, 3.24]
2 Mortality following admission, hospitalised participants ‐ studies reporting hazard ratios 6   Hazard Ratio (Random, 95% CI) 1.49 [1.09, 2.02]
3 Adverse events secondary to corticosteroid use: hospital‐acquired infection in hospitalised participants 7 6114 Odds Ratio (M‐H, Random, 95% CI) 2.74 [1.51, 4.95]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Al‐Busaidi 2016.

Methods Single‐centre retrospective cohort study
Participants Country: Oman
Setting: in‐hospital
Number of individuals: 68
Inclusion criteria: all admitted patients (adult and paediatric) with laboratory‐confirmed influenza A (H1N1)
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age of cohort: 23 years (range 25 days to 67 years)
Female sex: 41 (60.3%)
Interventions Groups: corticosteroids (n = 11) and no corticosteroids (n = 57)
No details of dose, duration, or timing of CS.
Outcomes Length of stay: presented as multivariable coefficient (95% CI)
Risk of bias (Newcastle‐Ottawa Scale) Length of stay
Selection domain score (max 4): 3
Comparability domain score (max 2): 1 (unclear if adjusted for age)
Outcome domain score: 1
Notes

Balaganesakumar 2013.

Methods Multicentre prospective cohort study
Participants Country: India (Tamil Nadu)
Setting: in‐hospital
Number of individuals: 1302 (280 included in case‐control analysis)
Inclusion criteria: individuals with laboratory‐confirmed influenza
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age of cohort (years): 26 (IQR 1 to 82)
Female sex: 666 (51%)
Interventions Groups: corticosteroids (n = 70) and no corticosteroids (n = 210)
Outcomes Mortality
Risk of bias (Newcastle‐Ottawa Scale) Mortality
Selection domain score (max 4): 2
Comparability domain score (max 2): 1 (no adjustment for disease severity)
Outcome domain score (max 3): 2
Notes

Boudreault 2011.

Methods Single‐centre retrospective cohort
Participants Country: USA (Washington)
Setting: in‐hospital
Number of individuals: 143
Inclusion criteria: individuals undergoing haematopoietic stem cell transplantation presenting with respiratory tract infections
Definition of influenza: laboratory confirmed
Influenza type: seasonal
Median age (years): cohort 42.0 (IQR 31.0 to 53.0); no CS group 42.0 (IQR 32.0 to 51.0); low‐dose CS group 42.0 (IQR 28.0 to 53.0); high‐dose CS group 40.0 (IQR 32.0 to 54.0)
Male sex: cohort 83 (58.0); no CS group 36 (57.0); low‐dose CS group 29 (67.0); high‐dose CS group 18 (49.0)
Interventions Groups: No CS (n = 63); low‐dose CS (n = 43); high‐dose CS (n = 37)
Definitions for dose: low‐dose (prednisolone/methylprednisolone < 1 mg/kg/day); high‐dose (prednisolone/methylprednisolone >= 1 mg/kg/day) (dose considered was the highest dose taken during the 2 weeks preceding the influenza diagnosis)
Co‐interventions: antiviral therapy
Outcomes Time to death/time to influenza‐associated death: hazard ratios presented following multivariate analysis. Variables in the multivariate models included CS treatment, antiviral therapy, and lymphocyte count
Hypoxaemia
Lower respiratory tract disease
Mechanical ventilation
Adverse events: prolonged viral shedding
Risk of bias (Newcastle‐Ottawa Scale) Time to death
Selection domain score (max 4): 2
Comparability domain score (max 2): 1 (no adjustment for age/disease severity)
Outcome domain score (max 3): 2
Notes

Brun‐Buisson 2011.

Methods Multicentre retrospective analysis of prospectively collected data
Participants Country: France (French REVA‐SRLF registry)
Setting: ICU
Number of sites: 78
Number of individuals: 208
Inclusion criteria: severe respiratory failure (defined as adult respiratory distress syndrome or need for mechanical ventilation)
Exclusion criteria: chronic steroid use or steroid use in ICU other than for respiratory failure; patients receiving CS as rescue therapy (initiated 2 weeks after commencing mechanical ventilation); admitted for other decompensated underlying illness
Definition of influenza: laboratory confirmed or clinically suspected
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): cohort 47.0 (IQR 35.0 to 55.0); no CS group 45.0 (IQR 35.0 to 55.0); CS group 49.0 (IQR 34.0 to 56.0)
Female sex: cohort 103 (49.5); no CS group 56.0 (44.8); CS group 47 (56.6)
Comorbid illnesses: immunodepression; no CS 23 (18.4); CS 23 (18.4)
Disease severity: Median Simplified Acute Physiology Score (version 3) (SAPS 3): cohort 52.0 (IQR 44.0 to 64.0); no CS group 53.0 (IQR 46.0 to 66.0); CS group 51.0 (IQR 44.0 to 61.0) (P = 0.25 for 2 groups)
Interventions Groups: no CS (n = 125) versus CS (n = 83)
Median daily dose: 270 mg (IQR 200 to 400 mg) of hydrocortisone equivalent
Timing of therapy: initiated within median 1 day (IQR 0 to 6) of mechanical ventilation
Duration of treatment: median 11 days (IQR 6 to 20)
Outcomes Hospital mortality: hazard ratios presented following a) adjustment for immunosuppression, SAPS 3 and vasopressor use in a Cox regression model; and b) propensity score matching
Length of ICU stay
Adverse events (ICU‐acquired infections)
Risk of bias (Newcastle‐Ottawa Scale) In‐hospital mortality
Selection domain score (max 4): 3
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
Length of ICU stay
Selection domain score (max 4): 3
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
ICU‐acquired infection
Selection domain score (max 4): 3
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes

Cao 2016.

Methods Multicentre retrospective cohort plus propensity score‐matched case‐control study
Participants Country: China (mainland)
Setting: in‐hospital
Number of individuals: 288
Inclusion criteria: individuals aged ≥ 14 years admitted to hospitals throughout China with pneumonia and laboratory‐confirmed H7N9 influenza infection. All had radiological evidence of pneumonia.
Exclusion criteria: no data due to being treated outside mainland China, aged under 14 years, incomplete data, physicians declined to participate
Influenza type: A/H7N9
Median age (years): 58 (IQR 45 to 68); not reported for individual treatment groups
Male sex: 201 (69.8%)
Comorbid illness (cohort): asthma/COPD 14 (4.9); immunosuppressed 3 (1.0)
Disease severity: moderate to severe ARDS (Berlin definition of severe hypoxaemia defined as ratio of PaO2/FiO2 of ≤ 200 mmHg and Positive End‐Expiratory Pressure (PEEP) of ≥ 5 cm H2O, associated with bilateral opacities on chest x‐ray that could not be fully explained by cardiac failure or fluid overload) 207 (71.9)
Interventions Groups: CS (n = 204) versus no CS (n = 84)
Dose: low‐moderate dose 168 (82.4); high dose 36 (17.6). Median dose (mg/day) 80 (IQR 40 to 120)
Definition of dose: low‐moderate dose 25 to 150 mg/day of methylprednisolone or its equivalent; high dose > 150 mg/day of methylprednisolone or its equivalent
Duration given for: median (days) 7 (IQR 4.0 to 11.3)
Time to initiation from onset of illness: median (days) 7.0 (IQR 5.0 to 9.4)
Antibiotics (cohort): total given antibiotics 261 (90.6); "appropriate" antibiotics 133 (46.2)
Antivirals (cohort): 285 (99.0); median initiation time (days from onset) 6.3 (IQR 4.7 to 8.2)
Outcomes Mortality: 30‐day and 60‐day mortality adjusted hazard ratios reported (multivariate Cox regression analysis). Also compared low‐moderate‐dose CS versus control and high‐dose CS versus control, and included a propensity score‐matched case‐control analysis (65 pairs)
Adverse events: hospital‐acquired infections in CS versus no CS groups assessed by propensity matched pairs analysis
Viral shedding: in CS group versus no CS group assessed by propensity matched pairs analysis with further stratification according to high/low‐moderate CS dose
Risk of bias (Newcastle‐Ottawa Scale) Mortality
Selection domain score (max 4): 4
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
Hospital‐acquired infection
Selection domain score (max 4): 4
Comparability domain score (max 2): 2
Outcome domain score (max 3): 2
Viral shedding
Selection domain score (max 4): 4
Comparability domain score (max 2): 2
Outcome domain score (max 3): 2
Notes Adjusted estimates for 30‐day and 60‐day mortality presented following logistical regression in a cohort study. Separate estimates given in a propensity matched case‐control study. In this study outcomes were stratified according to different corticosteroid regimens (high dose and low‐to‐moderate dose).

Chawla 2013.

Methods Single‐centre retrospective cohort study
Participants Country: India (New Delhi)
Setting: ICU
Number of individuals: 77
Inclusion criteria: individuals with laboratory‐confirmed influenza
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): cohort 41 (10 to 72)
Male sex: cohort 44 (57.1)
Interventions Groups: CS (n = 38) versus no CS (n = 39)
Outcomes Mortality
Risk of bias (Newcastle‐Ottawa Scale) Mortality
Selection domain score (max 4): 3
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes

Delaney 2016.

Methods Multicentre retrospective cohort study
Participants Country: Canada
Setting: in‐hospital
Number of sites: 51
Number of individuals: 607
Inclusion criteria: critically ill adults aged > 18 years, admitted to participating hospitals with confirmed, probable, or highly suspected H1N1pdm09 influenza
Exclusion criteria: people receiving oral or parenteral corticosteroids before onset of critical illness
Definition of influenza: laboratory‐confirmed or clinically diagnosed influenza
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Mean age (years): cohort 47.4 (±15.3); CS group 48.8 (±15.3); no CS group 46.2 (±15.2)
Female sex: cohort 315 (51.9); CS group 152 (54.3); no CS group 163 (49.9)
Comorbid illness:
Asthma: cohort 124 (20.4); CS group 82 (29.3); no CS group 42 (12.8), P < 0.001
COPD: cohort 100 (16.4); CS group 70 (25); no CS group 30 (9.2), P < 0.001
Immunosuppression: cohort 35 (5.8); CS group 25 (8.9); no CS group 10 (3.1), P = 0.002
Disease severity: mean SOFA score (SD): cohort 11.4 (3.7); CS group 11.4 (3.8); no CS group 11.3 (3.6), P = 0.70
Interventions Groups: CS treatment (n = 280) versus no CS treatment (n = 327)
Types: prednisolone (n = 189), methylprednisolone (n = 177), hydrocortisone (n = 161), dexamethasone (n = 22), cortisone (n = 1)
Dose: median (mg/day) 227 (IQR 154 to 443)
Duration: median (days) 7.0 (IQR 4 to 13)
Timing: median (days) from critical illness onset 0 (IQR 0 to 3)
Outcomes In‐hospital mortality: reported unadjusted and adjusted odds ratios. Different adjustment methodologies are presented: multivariate logistic regression analysis; multivariate logistic regression analysis adjusted for propensity score to receive corticosteroids; treatment groups matched on propensity to receive CS; marginal structural model adjusted for baseline and time‐dependent between‐group differences over the first week of ICU admission until discharge or death.
Adverse events: hospital‐acquired (bloodstream and respiratory) infections unadjusted outcome presented plus P value for outcome when matched by propensity to receive CS among critically ill patients
Risk of bias (Newcastle‐Ottawa Scale) Mortality
Selection domain score (max 4): 4
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
Hospital‐acquired infection
Selection domain score (max 4): 4
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
Notes

Delgado‐Rodriguez 2012.

Methods Multicentre prospective cohort
Participants Country: Spain (Andalusia, Catalonia, Castile and Leon, Madrid, Navarre, the Basque Country and Valencia)
Setting: in‐hospital
Number of sites: 36
Number of individuals: 813
Inclusion criteria: influenza‐like illness, acute respiratory tract infection, septic shock, multi‐organ failure
Exclusion criteria: hospital‐acquired influenza infection
Definition of influenza: laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): cohort 41.0 (IQR 19.0 to 55.0); not reported for individual groups
Female sex: cohort 410 (50.4); not reported for individual groups
Comorbid illness: no data for individual groups
Disease severity: not reported
Interventions Groups: CS use 90 days prior to admission (n = 31) versus no prior CS use (n = 782)
Outcomes Reported independent association between CS use with poor outcome (composite outcome of ICU admission and in‐hospital death) and length of stay
Risk of bias (Newcastle‐Ottawa Scale) ICU admission and mortality
Selection domain score (max 4): 3
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
Notes Study reporting outcomes according to pre‐admission antibiotic use

Han 2011.

Methods Multicentre retrospective cohort
Participants Country: China (Shenyang City)
Setting: in‐hospital
Number of sites: 4
Number of individuals: 83
Inclusion criteria: age > 3 years, admitted with confirmed pandemic influenza to 1 of 4 general hospitals during the study period
Exclusion criteria: medical records not retrievable
Definition of influenza: laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): no CS group 38 (IQR 5 to 75); CS group 43 (IQR 3 to 70)
Male sex: no CS group 18 (49.0); CS group 29 (63.0)
Comorbid illnesses: not reported individually
Disease severity: Median Pandemic Medical Early Warning Score (PMEWS): no CS group 2 (IQR 0 to 5); CS group 2 (0 to 5)
Interventions Groups: no CS group (n = 37) versus CS group (n = 46)
CS group further subdivided into early treatment (<= 72 hours; n = 17) and late treatment (> 72 hours; n = 29).
Type: methylprednisolone and dexamethasone
Co‐interventions: antivirals
Outcomes Critical illness: defined as >= 1 of the following: death, respiratory failure, septic shock, failure or insufficiency of >= 2 non‐pulmonary organs, mechanical ventilation or ICU admission
A proportional hazards model was used to estimate the probability of developing critical disease after controlling for the presence of underlying comorbid illnesses and presence of risk factors (age >= 65 years, pregnancy, obesity).
Risk of bias (Newcastle‐Ottawa Scale) Critical illness
Selection domain score (max 4): 3
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
Notes Study also compared outcomes with regard to timing of CS initiation (< 72 hours versus > 72 hours).

Huang 2017.

Methods Single‐centre retrospective cohort study
Participants Country: Taiwan
Setting: in‐hospital
Number of individuals: 86; respiratory distress cohort n = 48; no respiratory distress cohort n = 38
Inclusion criteria: older than 18 years, hospitalised, laboratory‐confirmed influenza
Exclusion criteria: hospital‐acquired influenza and contact history
Definition of influenza: rapid antigen test or RT‐PCR confirmed influenza
Influenza type: mixed
Mean age (years): entire cohort 65.9 (±19.2)
Male sex: 56 (65%); respiratory distress cohort 27 (71.1); no respiratory distress cohort 30 (62.5)
Comorbid illnesses:
Chronic pulmonary disease: entire cohort 22 (25.7); respiratory distress cohort 13 (27.1); no respiratory distress cohort 9 (23.7)
Immunosupression: entire cohort 30 (34.9); respiratory distress cohort 16 (33.3); no respiratory distress cohort 14 (36.8)
Disease severity: 48 (55.8) with respiratory distress (defined as PaO2/FiO2 < 200 mmHg or oxygen saturation < 90% with a FiO2 > 50%). APACHE/SOFA scores not detailed.
Interventions Groups: CS ± antiviral (n = 29) versus antiviral only without CS (n = 19)
Type: not reported
Dose of CS: medium‐ to high‐dose CS defined as ≥ 0.5 to 2 mg/kg/day, but median/mean dose not recorded
Duration of CS: short term (≤ 3 days): 4 (13.8); 4 to 13 days: 14 (48.3); ≥ 14 days: 10 (34.5) (1 person not recorded)
Timing: early (before and within 72 hours of antiviral onset) 17 (58.6); after 72 hours of antivirals 12 (41.4)
Co‐interventions: all people with respiratory distress received antivirals: oseltamivir alone 33 (68.8); oseltamivir + peramivir 15 (31.2)
Outcomes Respiratory distress cohort:
All‐cause mortality, raw data presented
Length of stay
Risk of bias (Newcastle‐Ottawa Scale) Mortality
Selection domain score (max 4): 3
Comparability domain score (max 2): 0
Outcome domain score (max 3): 2
Length of stay
Selection domain score (max 4): 2
Comparability domain score (max 2): 0
Outcome domain score (max 3): 1
Notes Study also reports mortality in those receiving early CS prior to or within 72 hours of effective antiviral treatment compared to those receiving CS more than 72 hours after antiviral initiation (P value ‐ log‐rank test of Kaplan‐Meier survival analysis).

Jain 2009.

Methods Multicentre retrospective cohort
Participants Country: USA
Setting: in‐hospital
Number of sites: national surveillance data
Number of individuals: 272 (CS data available for 239)
Inclusion criteria: individuals hospitalised with influenza‐like illness
Definition of influenza: laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): cohort 21 years (IQR 21 days to 86 years)
Male sex: not reported for individual groups
Comorbid illnesses: not reported for individual groups
Disease severity: not reported for individual groups
Interventions Groups: no CS (n = 153); CS (n = 86)
Type: not reported
Co‐interventions: antivirals 200/268 (74.6); antibiotics 206/260 (79.2)
Outcomes Death/ICU admission versus survival/no ICU admission
Risk of bias (Newcastle‐Ottawa Scale) Death/ICU admission versus survival/no ICU admission
Selection domain score (max 4):
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes

Kim 2011.

Methods Multicentre retrospective cohort/case‐control
Participants Country: Korea
Setting: ICU
Number of sites: 28
Number of individuals: 245
Inclusion criteria: age >= 15 years; presence of critical illness defined as i) admitted to ICU or required mechanical ventilation (invasive or non‐invasive), or ii) had PaO2/FiO2 less than 300 mmHg, or iii) required intravenous infusion of an inotropic or vasoconstrictive medication)
Definition of influenza: laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Mean age (years): no CS group 54.1 (± 19.3); CS group 56.9 (± 17.2)
Male sex: no CS group 73 (53.0); CS group 61 (57.0)
Comorbid illnesses:
Asthma: CS 10 (9); no CS 9 (7)
COPD: CS 14 (13); no CS 6 (4)
Solid tumour: CS 30 (28); no CS 19 (14)
Disease severity: mean APACHE II: no CS group 17.5 (± 8.5); CS group 21.2 (± 7.7); P = 0.001
Interventions Groups: CS treatment (n = 107) versus no CS treatment (n = 138)
Dose: median prednisolone equivalent 75 mg/day (IQR 50 to 81 mg/day)
Duration of treatment: median 6 (IQR 6 to 13) days
Antibiotics: CS group 107 (100.0); no CS group 136 (99.0)
Antivirals: CS group 44 (41.0); no CS group 68 (49.0)
Outcomes Mortality: 14‐day, 30‐day, and 90‐day mortality reported. Adjusted estimates presented for 90‐day mortality (following adjustment for age, SOFA score, mechanical ventilation, lymphocyte count, and propensity score)
Unadjusted estimates given for mechanical ventilation and length of stay.
Adverse events: secondary bacterial infections
Risk of bias (Newcastle‐Ottawa Scale) Mortality
Selection domain score (max 4): 4
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
Mechanical ventilation
Selection domain score (max 4): 4
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Length of stay
Selection domain score (max 4): 4
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Hospital‐acquired infection
Selection domain score (max 4): 4
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes Adjusted estimates for 90‐day mortality presented following logistical regression in a cohort study. Separate estimates given in a propensity matched case‐control study.

Kinikar 2012.

Methods Single‐centre retrospective cohort
Participants Country: India (Pune)
Setting: tertiary referral centre
Number of individuals: 92
Inclusion criteria: children < 12 years, admitted to swine flu isolation ICU and ward with laboratory‐confirmed influenza
Definition of influenza: laboratory‐confirmed (PCR)
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): cohort 2.5 (IQR 1.3 to 6)
Male sex: cohort 43 (47)
Comorbid illnesses: cohort asthma 4 (4); congenital heart disease 6 (7)
Disease severity: 88 (96%) admitted to ICU. 100% had infiltrates on chest x‐ray. Overall mortality 15/92 (16%)
Interventions Groups: CS treatment (n = 21) versus no CS treatment (n = 71)
Dose, duration, and timing of CS treatment not recorded.
Antibiotics: 100%
Antivirals: 100% oseltamivir, median time from illness onset to initiation 3 days, 14 (15%) within 48 hours of admission
Outcomes In‐hospital mortality: unadjusted odds ratio presented
Risk of bias (Newcastle‐Ottawa Scale) In‐hospital mortality:
Selection domain score (max 4): 3
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes

Kudo 2012.

Methods Single‐centre retrospective cohort
Participants Country: Japan
Setting: in‐hospital
Number of individuals: 89
Inclusion criteria: hospitalised patients with respiratory disorders (upper respiratory tract infection, wheezing illness, pneumonia with wheezing, and pneumonia without wheezing)
Definition of influenza: laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): 8 (IQR 0 to 71) for cohort
Male sex: 45 (50.6) in cohort
Comorbid illnesses: asthma: cohort 26 (29.2)
Disease severity: not reported
Interventions Groups: CS treatment (n = 46) versus no CS treatment (n = 12) (based on 58 individuals in cohort)
Dose: methylprednisolone 1 to 1.5 mg/kg, 2 to 4 times/day
Duration of treatment: median 5.1 days
Timing of treatment: median 2.1 days following symptom onset
Antibiotics: n = 63 (70.8) given antibiotics in cohort
Antivirals: all individuals received antiviral therapy
Outcomes Length of stay
Risk of bias (Newcastle‐Ottawa Scale) Length of stay
Selection domain score (max 4): 4
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes

Lee 2015.

Methods Multicentre retrospective cohort study
Participants Countries: China (Hong Kong and Beijing) and Singapore
Setting: in‐hospital
Number of sites: 3
Number of individuals: 2649
Inclusion criteria: adults > 17 years, hospitalised with acute respiratory infection because of potentially serious complications, exacerbation of underlying condition, severe systemic/respiratory symptoms unmanageable at home or as an outpatient, laboratory‐confirmed influenza
Definition of influenza: laboratory‐confirmed (PCR ± immunofluorescence and virus culture)
Influenza type: seasonal influenza A: 1212 (45.8); H1N1pdm09: 961 (36.3); undefined influenza A: 181 (6.8); influenza B: 295 (11.1)
Median age (years): cohort 63 (IQR 42 to 79)
Male sex: 1370 (51.7)
Comorbid illness: entire cohort: chronic lung disease 561 (21.2); major systemic comorbidity 1318 (49.8)
Disease severity: ventilatory support and/or ICU: 305 (11.5); pneumonia: 1081 (40.8)
Interventions Groups: systemic CS treatment (n = 610) versus no CS treatment (n = 2039)
Dose, duration, and timing of CS treatment: not reported
Antibiotics: 2282 (88.1)
Antivirals: 1991 (75.2); median time from onset to initiation 2 days (1 to 4)
Outcomes Mortality (30‐day and 60‐day): adjusted hazard ratios presented (multivariate Cox regression)
4 adjusted models are presented adjusting for NAI treatment, bacterial superinfection, statin and CS use, time‐dependent Cox regression, and pneumonia subgroup. Adjusted hazard ratios of explanatory variables associated with death censored at 30 days and 60 days and excluding patients with known indications for CS treatment for acute COPD/asthma exacerbations were significant for CS treatment (included in analysis n = 2088; CS for respiratory failure, pneumonia, or fever n = 254)
Bacterial superinfection (defined as positive culture of a bacterial pathogen from a lower respiratory tract specimen (sputum, bronchial/tracheal aspirates, or bronchoalveolar lavage) and/or blood samples collected during the acute illness, excluding results from other sites)
Length of stay: presented as adjusted estimate (β) of the difference in length of stay days
Risk of bias (Newcastle‐Ottawa Scale) Mortality:
Selection domain score (max 4): 4
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
Bacterial superinfection:
Selection domain score (max 4): 3
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Length of stay:
Selection domain score (max 4): 4
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
Notes

Li 2012.

Methods Multicentre retrospective cohort
Participants Country: China (Anhui province)
Setting: in‐hospital
Number of sites: not known
Number of individuals: 46
Inclusion criteria: pregnant, severe disease (defined as high fever for > 3 days, haemoptysis with purulent sputum, chest pain, dyspnoea, cyanosis, altered mental state, severe vomiting, diarrhoea and dehydration, radiologically confirmed pneumonia, elevated cardiac enzymes, respiratory failure, sepsis, multi‐organ dysfunction or admission to ICUs
Exclusion criteria: discharge within 24 hours, individuals managed in the outpatient setting
Definition of influenza: laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): adults who died 21 (IQR 18 to 31) and survivors 21 (IQR 18 to 27)
Female sex: 46 (100.0)
Disease severity: not reported
Interventions Groups: CS treatment (n = 27) versus no CS treatment (n = 19)
Dose: not reported
Duration of treatment: not reported
Antibiotics: not reported
Antivirals: all given antivirals
Outcomes Mortality
Risk of bias (Newcastle‐Ottawa Scale) Mortality
Selection domain score (max 4): 2
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes

Li 2017.

Methods Multicentre retrospective analysis of prospectively collected data
Participants Countries: China (mainland)
Setting: in‐hospital
Number of sites: 407
Number of individuals: 2141
Inclusion criteria: adolescents and adults aged 14 years and above, hospitalised with influenza A (H1N1) pdm09 viral pneumonia, and having complete clinical information
Definition of influenza: laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): cohort 34.4 (IQR 24.1 to 51.1); CS group 35.0 (IQR 23.8 to 52.4); no CS group 33.7 (IQR 24.6 to 48.7)
Female sex (%): cohort 1046 (48.9); CS group 525 (49.8); no CS group 521 (48.0)
Comorbid illness:
Asthma: cohort 38 (1.8); CS group 22 (2.1); no CS group 16 (1.5), P = 0.284
COPD: cohort 106 (5.0); CS group 59 (5.6); no CS group 47 (4.3), P = 0.177
Immunosuppressed: cohort 49 (2.3); CS group 34 (3.2); no CS group 15 (1.4), P = 0.004
Disease severity:
PaO2/FiO2 (mmHg): cohort 219.5 (127.9 to 326.4); CS group 173.3 (100 to 272.4); no CS group 286.2 (191.7 to 388.2), P < 0.001
Clinically defined "shock": cohort 131 (6.1); CS group 84 (8.0); no CS group 47 (4.4), P = < 0.001
All participants had pneumonia defined as "acute lower respiratory tract infection with an opacity or infiltrate seen on chest x‐ray and interpreted as pneumonia by the treating physician".
Interventions Groups: CS treatment (n = 1055) versus no CS treatment (n = 1086)
Dose:
Low to moderate dose, defined as 25 to 150 mg/day: n = 662
High dose, defined as > 150 mg/day: n = 367
Unknown dose/< 25 mg/day: n = 26
Median dose 80 (IQR 53.3 to 160); mean dose 141.3 mg/day (±142)
Duration of treatment: median (days) 7 (IQR 4 to 8); mean (days) 7.7 (±6.8)
Antibiotics: cohort 97.7%; CS group 98.3%; no CS group 94.1%
Antivirals: cohort 95.6%; CS group 97.2%; no CS group 94.1%
Outcomes 30‐day mortality: multivariate Cox regression analysis adjusted for underlying comorbidities, baseline disease severity, NAI treatment, time to hospitalisation
ICU admission: raw data presented
Hospital‐acquired infection: positive culture of a new pathogen from a lower respiratory tract specimen (sputum, bronchial/tracheal aspirates, or bronchoalveolar lavage) and/or blood samples ≥ 48 hours after admission
Risk of bias (Newcastle‐Ottawa Scale) 30‐day mortality
Selection domain score (max 4): 3
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
ICU admission
Selection domain score (max 4): 3
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Hospital‐acquired infection
Selection domain score (max 4): 3
Comparability domain score (max 2): 0
Outcome domain score (max 3): 2
Notes Adjusted estimates also presented for 60‐day mortality.
In this study mortality outcomes were stratified according to different corticosteroid regimens (high dose and low to moderate dose), and also by disease severity based on PaO2/FiO2 on admission.
Separate estimates given in a propensity matched case‐control study (265 propensity‐matched pairs generated from low‐moderate‐dose CS group and control group, 148 pairs from high‐dose CS group and control group).

Liem 2009.

Methods Multicentre retrospective cohort
Participants Country: Vietnam
Setting: in‐hospital
Number of individuals: 67
Inclusion criteria: all hospitalised patients with influenza A (H5N1) infection
Definition of influenza: laboratory confirmed
Influenza type: A/H5N1
Age, median years: cohort 25 (IQR 16 to 42)
Male sex: cohort 37 (55.0)
Comorbid illnesses: not reported
Interventions Groups: CS treatment (n = 29) versus no CS treatment (n = 38)
Dose: methylprednisolone 1 to 3 mg/kg/day
Duration of treatment: up to 7 days
Antibiotics: given to 63 (94.0) of cohort
Antivirals: given to 55 (82.0) of cohort
Outcomes In‐hospital mortality
Adjusted for the presence or absence of neutropenia as a marker of disease severity to investigate the effect of steroid treatment on outcome
Risk of bias (Newcastle‐Ottawa Scale) In‐hospital mortality
Selection domain score (max 4): 4
Comparability domain score (max 2): 1
Outcome domain score (max 3): 3
Notes

Linko 2011.

Methods Multicentre prospective cohort
Participants Country: Finland
Setting: ICU
Number of individuals: 132
Inclusion criteria: ICU admissions with influenza
Definition of influenza: high clinical suspicion or laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): no CS group 44 (IQR 25 to 57); CS group 51 (40 to 56)
Male sex: no CS group 39 (65.0); CS group 46 (64.0)
Comorbid illnesses:
COPD: no CS group 3 (5); CS group 6 (8)
Other obstructive pulmonary disease: no CS group 14 (23); CS group 15 (21)
Disease severity (median IQR): SAPS II: no CS group 22 (15 to 30); CS group 31 (24 to 36). SOFA: no CS group 3 (2 to 6); CS group 6 (2 to 8); P = 0.01
Interventions Groups: CS treatment (n = 72) versus no CS treatment (n = 60)
Type of steroid: methylprednisolone and/or hydrocortisone
Dose: mean (SD) of the highest methylprednisolone dose was 94 mg (±43 mg) and hydrocortisone 214 mg (±66 mg)
Timing of steroid therapy: median (IQR) days after symptom onset: 5.0 (2.8 to 8.3)
Co‐interventions: antibiotics (84% of cohort); antivirals (96% of cohort)
Outcomes Hospital mortality: odds ratios given following adjustment for disease severity (SAPS II).
Unadjusted estimates given for mechanical ventilation and length of stay.
Risk of bias (Newcastle‐Ottawa Scale) Hospital mortality
Selection domain score (max 4): 4
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
Mechanical ventilation
Selection domain score (max 4): 4
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Length of stay
Selection domain score (max 4): 4
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes

Mady 2012.

Methods Single‐centre retrospective cohort
Participants Country: Saudi Arabia
Setting: ICU
Number of individuals: 86
Inclusion criteria: influenza with respiratory failure
Definition of influenza: laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Mean age (years): cohort 40.8. Not reported for treatment groups
Male sex: cohort 64 (74.4). Not reported for treatment groups
Comorbid illnesses: cohort 33 (38.3)
Disease severity: mean APACHE IV score: cohort 105.6 (41 to 190); CS group versus no CS group 110.5 versus 100.6 (P > 0.05)
Interventions Groups: CS treatment (n = 43) versus no CS treatment (n = 43)
Type of steroid: methylprednisolone
Dose: 1 mg/kg per day for 7 days
Timing of steroid therapy: not reported
Outcomes In‐hospital mortality: unadjusted estimates
Risk of bias (Newcastle‐Ottawa Scale) Selection domain score (max 4): 3
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes

Moreno 2018.

Methods Prospective cohort study
Participants Countries: Spain
Setting: ICU
Number of sites: 148
Number of individuals: 1846
Inclusion criteria: patients admitted with fever > 38 ºC; respiratory symptoms consistent with cough, sore throat, myalgia, or influenza‐like illness; acute respiratory failure requiring ICU admission; and microbiological confirmation (RT‐PCR) of influenza A, B, or C.
Exclusion criteria: patients receiving CS as rescue therapy for shock or for exacerbation of COPD/asthma; children < 15 years; non‐pulmonary influenza; health care‐associated pneumonia
Definition of influenza: laboratory confirmed
Influenza type: influenza A, B, or C
Median age (years):
CS group 53 (IQR 41 to 62); no CS group 51 (IQR 39 to 61)
Comorbid illness:
Asthma: CS group 79 (13.1); no CS group 75 (6.0), P < 0.001
COPD: CS group 154 (25.5); no CS group 178 (14.5), P < 0.001
Haematological disease: CS group 65 (10.8); no CS group 68 (5.5), P = 0.001
Disease severity:
Median APACHE II score: CS group 15 (10 to 20); no CS group 14 (10 to 19), P = 0.004
Interventions Groups: CS treatment (n = 604) versus no CS treatment (n = 1242)
Type of steroid: methylprednisolone 578 (95.7); prednisolone 23 (3.8); dexamethasone 3 (0.5)
Dose: median 80 mg/day (60 to 120 mg/day) methylprednisolone equivalent
Duration: median 7 (5 to 10) days
Timing of steroid therapy: within first 24 hours of ICU admission
Co‐interventions: antivirals: CS group 591 (97.8); no CS group 1198 (96.8)
Outcomes ICU mortality: adjusted hazard ratios using Cox proportional hazards with propensity score matching analysis
ICU length of stay
Mechanical ventilation: multivariable analysis odds ratio
Risk of bias (Newcastle‐Ottawa Scale) ICU mortality:
Selection domain score (max 4): 4
Comparability domain score (max 2): 2
Outcome domain score (max 3): 3
ICU length of stay:
Selection domain score (max 4): 4
Comparability domain score (max 2): 0
Outcome domain score (max 3): 2
Mechanical ventilation:
Selection domain score (max 4): 4
Comparability domain score (max 2): 1
Outcome domain score (max 3): 2
Notes The analysis in this study supercedes that of a previously included report, Diaz 2012, and includes patients with all influenza types over a longer period of time and with the exclusion of patients receiving CS for causes other than viral pneumonia.

Ono 2016.

Methods Retrospective analysis of Japan Medical Center Database data
Participants Country: Japan
Setting: database of approximately 1.5 million insured individuals (mostly employees of Japanese companies and their families)
Number of individuals: 88,054
Inclusion criteria: age < 65 years with influenza and confirmed by influenza testing, first episode of influenza hospitalisation during the study period
Exclusion criteria: people already hospitalised for diseases other than influenza, type of influenza not recorded
Definition of influenza: laboratory confirmed
Influenza type: seasonal
Median age (years): not recorded
Female sex: non‐hospitalised 39,122/87,778 (44.6%); hospitalised 141/276 (51.1%)
Interventions Groups: regular prior CS use (defined as prescribed and took oral steroids for > 30 days during the baseline period 6 months before the diagnosis of influenza) versus no regular prior CS
Outcomes Hospitalisation: multivariate Cox regression analysis hazard ratio presented adjusted for gender, age, comorbidities, respiratory co‐infection, virus type
Risk of bias (Newcastle‐Ottawa Scale) Selection domain score (max 4): 2
Comparability domain score (max 2): 1
Outcome domain score (max 3): 2
Notes Study reporting outcomes according to regular CS use prior to the diagnosis of influenza rather than CS as adjunctive treatment for influenza

Patel 2013.

Methods Single‐centre retrospective cohort study
Participants Country: India (Gujarat)
Setting: in‐hospital
Number of individuals: 63
Definition of influenza: laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): 34 (IQR 3 to 69)
Male sex: 41 (65%)
Interventions Groups: CS treatment (n = 39); no CS treatment (n = 24)
Type of steroid: methylprednisolone
Dose: 40 mg 3 times daily for 1 week, twice daily for 1 week, and once daily for 1 week
Route of administration: intravenous
Timing of steroid therapy: not reported
Outcomes Mortality
Risk of bias (Newcastle‐Ottawa Scale) Selection domain score (max 4): 2
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes

Sertogullarindan 2011.

Methods Single‐centre prospective cohort
Participants Country: Turkey
Setting: ICU
Number of individuals: 20
Inclusion criteria: ICU admissions with severe community‐acquired pneumonia and influenza
Definition of influenza: laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): cohort 36 (IQR 15 to 72); not reported by CS treatment groups
Male sex: cohort 10 (50.0); not reported by CS treatment groups
Comorbid illnesses:
COPD: cohort 2 (10)
Malignancy: cohort 2 (10)
Disease severity: not reported
Interventions Groups: CS treatment (n = 11) versus no CS treatment (n = 9)
Co‐interventions: antibiotics (90% of cohort); antivirals (100% of cohort)
Outcomes Mortality (unadjusted estimates)
Risk of bias (Newcastle‐Ottawa Scale) Selection domain score (max 4): 3
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes

Sheu 2017.

Methods Multicentre retrospective cohort study
Participants Country: Taiwan
Setting: ICUs in tertiary referral centres
Number of sites: 7
Number of individuals: 192
Inclusion criteria: admitted to ICU with virologically confirmed influenza
Exclusion criteria: people without ARDS
Definition of influenza: laboratory confirmed
Influenza type: seasonal
Mean age (years): cohort 58.3; not reported by CS treatment groups
Male sex: cohort 62.5%
Comorbid illnesses: entire cohort "chronic airway disease" 12.5%
Disease severity (%): "severe" ARDS n = 120 (62.5); "moderate" ARDS n = 56 (29.2); "mild" ARDS n = 16 (8.3)
Interventions Groups: early CS treatment, defined as CS used within 7 days of ICU admission (n = 101) versus no CS treatment (n = 91)
No details of dose, frequency, duration of CS treatment
Outcomes In‐hospital mortality: Cox's proportional hazards models, adjusted for age, gender, APACHE II score, and ARDS severity
Risk of bias (Newcastle‐Ottawa Scale) Not evaluated
Notes Conference abstract only

Viasus 2011.

Methods Multicentre prospective cohort study
Participants Country: Spain
Setting: in‐hospital
Number of sites: 13
Number of individuals: 197
Inclusion criteria: non‐immunosuppressed individuals admitted for at least 24 hours with influenza A
Exclusion criteria: chemotherapy/solid organ transplant/HIV/neutropenia/ICU admission on admission to hospital
Definition of influenza: laboratory confirmed (PCR or culture)
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Median age (years): no CS group 35 (IQR 28 to 47); CS group 44 (IQR 36 to 53)
Male sex: no CS group 73 (53.0); CS group 61 (57.0)
Comorbid illnesses: chronic pulmonary disease: no CS 22 (17.1); CS 17 (45.9)
Disease severity: number of individuals in high‐risk Pneumonia Severity Index risk classes: CS group 8 (21.6); no CS group 8 (6.4), P = 0.05
Interventions Groups: compared adults receiving immunomodulatory therapy (n = 68) (CS (n = 37), statins (n = 12), or macrolides (n = 31)) versus adults not receiving immunomodulatory therapy (n = 129)
Duration: median days 9 (5 to 13.5)
Outcomes In‐hospital mortality
Hospital‐acquired infection
Risk of bias (Newcastle‐Ottawa Scale) In‐hospital mortality
Selection domain score (max 4): 4
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Hospital‐acquired infection
Selection domain score (max 4): 4
Comparability domain score (max 2): 0
Outcome domain score (max 3): 3
Notes

Wirz 2016.

Methods Randomised controlled trial of prednisone in community‐acquired pneumonia caused by different pathogens, with subgroup analysis of people with confirmed influenza infection
Participants Country: Switzerland
Setting: tertiary care centres
Number of sites: 7
Number of individuals: 785 participants (in intention‐to‐treat analysis); CS group (n = 392); placebo group (n = 393). 726 in per‐protocol population. 24 participants in subgroup with laboratory‐confirmed influenza (CS group (n = 11); placebo group (n = 13))
Inclusion criteria: consecutive adults ≥ 18 years enrolled within 24 hours of presentation at emergency departments or medical wards with community‐acquired pneumonia (new infiltrate on chest x‐ray and the presence of at least 1 of cough, sputum production, dyspnoea, core body temperature ≥ 38.0 °C, abnormal breathing sounds or rales, leucocyte count > 10,000 cells/μL or < 4000 cells/μL)
Exclusion criteria: permanent inability for informed consent, active intravenous drug use, acute burn injury, gastrointestinal bleeding in past 3 months, known adrenal insufficiency, condition requiring more than 0.5 mg/kg/day prednisone equivalent, pregnancy or breastfeeding, severe immunosuppression (infection with HIV and CD4 count < 350 cells/μL, immunosuppressive therapy after solid organ transplant, neutropenia < 500 cells/μL, cystic fibrosis, or active tuberculosis)
Definition of influenza: laboratory confirmed (PCR)
Influenza type: seasonal
Mean age (years): CS group 70.3 (±17.5); placebo group 69.0 (±17.0). No separate data for influenza‐confirmed subgroup
Male sex: CS group 223 (61.6); placebo group 228 (62.6)
Comorbid illness:
COPD: CS group 70 (19.3); placebo group 56 (15.4)
Diabetes mellitus: CS group 66 (18.2); placebo group 73 (20.1)
Heart failure: CS group 73 (20.2); placebo group 57 (15.7)
Cerebrovascular disease: CS group 32 (8.8); placebo group 29 (8.0)
Renal insufficiency: CS group 114 (31.5); placebo group 115 (31.6)
Neoplastic disease: CS group 27 (7.5); placebo group 22 (6.0)
Liver disease: CS group 17 (4.7); placebo group 11 (3.0)
Disease severity: total Pneumonia Severity Index score points mean: CS group 92.5 ± 38.2; placebo group 89.2 ± 35.3
Interventions Groups (confirmed influenza): oral prednisone (n = 11); placebo (n = 13)
Dose: 50 mg/day
Duration: 7 days
Antibiotic therapy (all participants): CS group 355 (98.1); placebo group 357 (98.1)
Antiviral therapy: not recorded
Outcomes Primary endpoint: time to clinical stability defined as stabilisation of vital signs at 2 consecutive measurements ≥ 12 hours apart (adjusted hazard ratio based on Cox proportional hazards regression, censored at day 30)
Secondary outcomes: length of hospital stay, all‐cause mortality, rehospitalisation within 30 days, secondary ICU admission (defined as a participant initially admitted to the regular ward and transferred to ICU after study medication had been given), duration of total and intravenous antimicrobial therapy, incidence of complications from admission until day 30
Risk of bias (Newcastle‐Ottawa Scale)
Notes The primary endpoint in this randomised controlled trial was time to clinical stabilisation in people with community‐acquired pneumonia due to a range of pathogens and was not powered to estimate the effect of prednisone in the small number of participants with influenza‐confirmed pneumonia.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Variable block sizes of 4 to 6 and participants stratified at time of study by study centre.
Allocation concealment (selection bias) Low risk Prespecified computer‐generated randomisation list kept centrally at pharmacy of main study centre.
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Participants, treating physicians, investigators, and data assessors blinded.
Blinding of outcome assessment (detection bias) 
 All outcomes Low risk Outcome assessment based on objective measurements and medical records.
Incomplete outcome data (attrition bias) 
 All outcomes Low risk Outcome data appear complete.
Selective reporting (reporting bias) Unclear risk Subgroup analysis by individual pathogens not specified in protocol.
Other bias High risk Some baseline differences in disease severity and comorbidities between CS and placebo arms. Under‐representation of sickest patients in ICU and those with sepsis. Systematic testing for respiratory viruses only began in all enrolled participants 2 years after the onset of the study.

Wu 2012.

Methods Single‐centre prospective cohort
Participants Country: Taiwan
Setting: mixed cohort of outpatients and inpatients
Number of individuals: 206
Inclusion criteria: > 16 years of age with influenza‐like illness. Compared complicated influenza (requiring hospital admission) versus uncomplicated influenza (n = 176)
Exclusion criteria: not reported
Definition of influenza: laboratory confirmed
Influenza type: seasonal influenza
Age >= 65 years: cohort 26 (12.6)
Male sex: cohort 110 (53.4)
Comorbid illness:
Chronic lung disease: cohort 20 (9.7)
Malignancy: cohort 18 (8.7)
Disease severity: complicated influenza (n = 30) and uncomplicated influenza (n = 176)
Interventions Groups: CS therapy use (n = 17); no CS use (n = 189)
Unclear if CS was used prior to or following diagnosis
Dose/timing/duration: not reported
Antiviral therapy: cohort 68 (33.0)
Outcomes Complicated influenza (adjusted for age, comorbid illnesses, clinical features, laboratory findings, and CS use)
Risk of bias (Newcastle‐Ottawa Scale) Complicated influenza
Selection domain score (max 4): 4
Comparability domain score (max 2): 1
Outcome domain score (max 3): 3
Notes

Xi 2010.

Methods Multicentre retrospective cohort study
Participants Country: China (Beijing)
Setting: in‐hospital
Number of sites: 23
Number of individuals: 155
Inclusion criteria: adults aged >= 18 years admitted to hospital
Definition of influenza: laboratory confirmed
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Mean (SD) age (years): cohort 43 (±18.6)
Male sex: cohort 90 (58.1)
Comorbid illness: COPD: cohort 10 (6.5%)
Disease severity: acute respiratory failure (24/103 (23.3%) in the no CS group versus 38/52 (73.1%) in the CS group); septic shock (5/103 (4.9%) in the no CS group versus 13/103 (25.0%) in the CS group); invasive ventilation (16/103 (15.5%) in the no CS group versus 27/52 (51.9%) in the CS group)
Interventions Groups: primary comparison was survivors versus non‐survivors. Secondary comparison made of CS treatment (n = 52) versus no CS treatment (n = 103).
Dose: daily median dose equivalent to 80 mg (IQR 80 mg to 160 mg) of methylprednisolone
Co‐interventions: antivirals given to n = 132 (85.2) of cohort; antibiotics given to n = 139 (89.7) of cohort
Outcomes Hospital mortality: raw numbers for mortality were derived from data provided in article. Adjusted odds ratio for mortality given for CS use in multivariate analysis.
Adjustment was made for ethnicity, comorbid illness (hypertension, diabetes), symptoms at disease onset (dyspnoea, sore throat), clinical presentation (dyspnoea), laboratory testing (lactate dehydrogenase), and CS treatment in the multivariate analysis.
No difference in mortality for low‐dose CS (< 80 mg of methylprednisolone) versus high‐dose CS in a subgroup analysis (9/30 versus 8/22, P = 0.854)
Risk of bias (Newcastle‐Ottawa Scale) Selection domain score (max 4): 3
Comparability domain score (max 2): 1
Outcome domain score (max 3): 3
Notes

Yu 2011a.

Methods Multicentre retrospective cohort study
Participants Country: China (Zhengzhou city)
Setting: ICU
Number of sites: 4
Number of individuals: 128
Inclusion criteria: not recorded
Influenza type: 2009 influenza A H1N1 virus (H1N1pdm09)
Mean (SD) age (years): males 28.5 (16.4); females 28.5 (20.4), range 8 months to 79 years
Male sex: 77 (60.2%)
Comorbid illness: not recorded
Disease severity: not recorded
Interventions Groups: CS (n = 54) versus no CS (n = 74)
No details on types and doses of CS
Duration of treatment in days: mean (SD): died 8.3 (8.0); survived 2.6 (4.2)
Outcomes Mortality (time point not recorded). Raw data presented without unadjusted or adjusted odds ratio estimates.
Risk of bias (Newcastle‐Ottawa Scale) Selection domain score (max 4): 2
Comparability domain score (max 2): 1
Outcome domain score (max 3): 1
Notes In Chinese language. Study of risk factors for mortality

APACHE: Acute Physiology and Chronic Health Evaluation
 ARDS: adult respiratory distress syndrome
 CI: confidence interval

 COPD: chronic obstructive pulmonary disease

 CS: corticosteroid
 
ICU: intensive care unit
 
IQR: interquartile range
 NAI: neuraminidase inhibitor
 PaO2/FiO2: ratio of partial pressure of oxygen in arterial blood to inspired fraction of oxygen
 PCR: polymerase chain reaction

 RT‐PCR: reverse transcription‐polymerase chain reaction

 SAPS: Simplified Acute Physiology Score

 SD: standard deviation
 
SOFA: Sequential Organ Failure Assessment

Characteristics of excluded studies [ordered by study ID]

Study Reason for exclusion
Chan 2014 No outcome data comparing corticosteroid treatment versus no corticosteroid treatment
Chen 2010 Case series
Chien 2010 No useable data relating to corticosteroid use (only P values)
Chotpitayasunondh 2005 Case series
Diaz 2012 Overlapping cohort, superceded by later analysis
Dominguez‐Cherit 2016 No outcome data comparing corticosteroid treatment versus no corticosteroid treatment
Fujikura 2014 No outcome data comparing corticosteroid treatment versus no corticosteroid treatment
Gao 2013 No outcome data comparing corticosteroid treatment versus no corticosteroid treatment
Garnacho‐Montero 2013 Overlapping populations*
Hien 2009 Overlapping populations*
Hong 2013 Overlapping populations*
Hu 2013 No outcome data comparing corticosteroid treatment versus no corticosteroid treatment
Jung 2011 Overlapping populations*
Leon 2017 Overlapping populations*
Martin‐Loeches 2013 Overlapping populations*
McKenna 2013 Overlapping populations*
Ning 2014 Fewer than 10 participants in study
Okur 2013 Overlapping populations*
Perez‐Padilla 2009 Case series
Rios 2011 No outcome data comparing corticosteroid treatment versus no corticosteroid treatment
Segaloff 2017 No outcome data comparing corticosteroid treatment versus no corticosteroid treatment
Singh 2017 No outcome data clearly comparing corticosteroid treatment versus no corticosteroid treatment
Smud 2010 No outcome data comparing corticosteroid treatment versus no corticosteroid treatment
Sun 2010 Case series
Torres 2012 No data on clinical outcomes
Vilar‐Compte 2018 No outcome data comparing corticosteroid treatment versus no corticosteroid treatment; corticosteroid use within 30 days of infection only
Yale 2015 No data on clinical outcomes
Yang 2015a Overlapping populations*
Zhang 2011 Outcomes unclear
Zhang 2013 Overlapping populations*

*Overlapping populations refers to studies where data from cohorts included in the review were duplicated, either due to multiple reporting of the same cohort, or inclusion of the cohort within the study population of a larger study.

Differences between protocol and review

We updated the Objectives of this review to add "taking into account differences in timing and doses of corticosteroids".
 
 We amended the Types of studies to state: "We excluded studies with case‐control designs due to the inability to determine temporal effects of corticosteroids on the development of non‐mortality outcomes. We excluded studies with fewer than 10 participants."
 
 Stratification by 30‐day mortality was not possible as stated in the protocol due to the heterogeneity across studies when reporting mortality. All the studies were conducted at least in part in a hospital setting, and stratification of outcomes according to in‐/outpatient setting was not possible. We could not perform subgroup analyses according to corticosteroid regimens and age of study participants as there was an insufficient number of studies reporting outcomes stratified according to these variables. We were not able to perform sensitivity analysis to assess the effect of study design on primary and secondary outcomes as all the studies included in the meta‐analyses were cohort studies.

Contributions of authors

All of the review authors of the original version designed and conceived the systematic review. For this 2018 update, one review author (CR) extracted data from all eligible studies in the original version, and one review author (LL) extracted data for all eligible studies identified for this update using a standardised pro forma that was previously piloted and specifically adapted for this review. The other review authors shared the duplicate data extraction of all included studies. Two review authors (CR, LL) performed data synthesis and quantitative analyses. One review author (LL) drafted the updated review, and all co‐authors critically reviewed the draft review prior to submission.

Declarations of interest

Louise Lansbury is Head of the WHO Collaborating Centre for Pandemic Influenza and Research at the University of Nottingham, which has a grant pending from the World Health Organization to provide technical assistance for the prevention and control of seasonal influenza. The study is unrelated to the submitted work. LL's salary is funded by the National Institute for Health Research.

Chamira Rodrigo was employed by Nottingham University Hospitals NHS Trust (NUH), and not a commercial organisation during his time as a clinical research fellow. NUH received unrestricted funding from Pfizer and the National Institute for Health Research (NIHR) for unrelated research, to which he contributed as a research investigator.

Professor Jo Leonardi‐Bee was a co‐applicant on an educational grant from Hoffmann‐La Roche to carry out research in the area of pandemic influenza. Hoffmann‐La Roche did not support any aspects of this work. JLB undertook consultancy work for the UK Food Standards Agency in 2013‐2015, and for a Breast Milk Substitute manufacturer in 2017, to help them design a healthcare claim trial.

Jonathan Nguyen‐Van‐Tam: The University of Nottingham Health Protection Research Group currently holds an unrestricted educational grant for influenza research from F. Hoffmann‐La Roche. The aforementioned funding received from F. Hoffmann‐La Roche did not support any aspect of this work. JNVT has received consultancy fees from two biopharmaceutical entities that have no licensed products anywhere in the world, as well as fees related to medico‐legal work on influenza, and royalties related to academic work. He is a former employee of SmithKline Beecham plc (now GlaxoSmithKline), Roche Products Ltd, and Aventis‐Pasteur MSD (now Sanofi‐Pasteur MSD), all prior to 2005, with no outstanding pecuniary interests by way of shareholdings, share options, or accrued pension rights. He is currently on secondment to the Department of Health and Social Care (UK Government).

Wei Shen Lim's institution has received an unrestricted investigator‐initiated research grant from Pfizer in support of a study in pneumococcal pneumonia that is unrelated to the submitted work; WSL is the Chief Investigator of the study. WSL's institution has received research funding from the National Institute for Health Research for a clinical trial of corticosteroids in pandemic influenza; WSL is the Chief Investigator.

Edited (no change to conclusions)

References

References to studies included in this review

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