Corticosteroid treatment has no effect on hospital mortality in COVID-19 patients

Abstract

Since the start of the novel coronavirus 2019 (COVID-19) pandemic, corticosteroid use has been the subject of debate. The available evidence is uncertain, and knowledge on the subject is evolving. The aim of our cohort study was to evaluate the association between corticosteroid therapy and hospital mortality, in patients hospitalized with COVID-19 after balancing for possible confounders. One thousand four hundred forty four patients were admitted to our hospital with a positive RT-PCR test for SARS-CoV-2, 559 patients (39%) were exposed to corticosteroids during hospital stay, 844 (61%) were not exposed to corticosteroids. In the cohort of patients exposed to corticosteroids, 171 (30.6%) died. In the cohort of patients not exposed to corticosteroids, 183 (21.7%) died (unadjusted p < 0.001). Nonetheless, exposure to corticosteroids was not associated with in-hospital mortality after balancing with overlap weight propensity score (adjusted p = 0.25). Patients in the corticosteroids cohort had a reduced risk of ICU admission (adjusted p < 0.001). Treatment with corticosteroids did not affect hospital mortality in patients with COVID-19 after balancing for confounders. A possible advantage of corticosteroid therapy was to reduce Intensive Care Unit admission, which could be useful in reducing pressure on Intensive Care Units in times of limited resources, as during the COVID-19 pandemic.

Introduction

In December 2019, a cluster of atypical pneumonia was observed in Wuhan, China. A new coronavirus, later called Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV 2), was identified as responsible for the disease¹, which subsequently spread to the rest of the world. More than two thousand patients presented to our Emergency Department with a positive RT-PCR test for SARS-CoV 2 during the novel coronavirus disease (COVID-19) pandemic, from 20th February to 10th May, and one thousand four hundred and forty three of them were admitted to the hospital. Many pharmacological therapies (for example low molecular weight heparin², hydroxicloroquine and azithromycin³, lopinavir-ritonavir⁴, remdesivir⁵, tocilizumab⁶) have been attempted despite the absence of evidence supporting their efficacy at the time, among them corticosteroids. Initially the World Health organization discouraged the use of corticosteroids for the treatment of COVID-19 because their administration to patients with SARS had shown no survival benefit and possible harms (avascular necrosis, psychosis, diabetes, and delayed viral clearance)^7–9. The interest in corticosteroids was renewed by the observation that their use was associated with a mortality reduction in COVID-19 patients in China¹⁰, and recommendations after this report included the use of steroids in patients with COVID-19 and ARDS as a weak recommendation¹¹. This uncertain and evolving evidence concerning the use of corticosteroids had, as a consequence, their inconstant use in COVID-19 patients. In our hospital they were used in about 40% of patients. Gathering evidence on the effect of corticosteroids treatment in COVID-19 is crucial, because the infection rates of other human coronaviruses have a typical wave pattern with the pick in autumn\winter¹² and a second surge of the disease could be possible.

The aim of our cohort study was to evaluate the association between corticosteroid therapy and hospital mortality in patients hospitalized with COVID-19 after balancing for possible confounders.

Methods

The setting for this observational cohort study was a 600 bed tertiary care hospital located in Brescia (Northern Italy). Data was extracted from the electronic medical charts of consecutive patients who had been admitted during the pandemic crisis of Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2), between February 20th and May 10th 2020.

Clinical, demographic and laboratory data from all adult patients who were admitted to the hospital and had a positive test for SARS-CoV2 from biological material were recorded at admission. Tests were conducted with Reverse Transcriptase Real Time Polymerase-Chain-Reaction assay (RT-PCR).

Patients younger than 18 years or with no available outcome at the time of analysis were excluded from the study. Patients were followed up until discharge.

The patients were classified into two cohorts, based on exposure to corticosteroids during hospitalization, and the prescription of corticosteroid therapy and other treatments was the responsibility of the attending physician based on the perceived risk–benefit ratio.

In-hospital mortality was the primary outcome, the rate of admission to the Intensive Care Unit was the secondary outcome. Patients were admitted in ICU if they had, during Non Invasive Ventilation: PaO2/FiO2 < 100 mmHg, dyspnea, tachypnea (more than 40 breaths per minute), tidal volume greater than 10 ml/kg.

One thousand three hundred seventy seven patients were needed to obtain a power of 85% to detect an Odds Ratio 0.72, assuming mortality was 25% in those receiving corticosteroids, with a fraction of patients treated of 1:3 and alpha = 0.05¹³. The 12 weeks follow up ensured 97% of patients were discharged or had died by the end of the study period. Continuous variables were expressed as mean (standard deviation) or as median (1st, 3rd quartile) and factor variables as count (percentage). Bivariate analysis of outcome was realized on a priori identified variables with Fisher test for factorial variable and t-test and Mann–Whitney test for continuous ones.

A overlap weight propensity score for treatment allocation was estimated from a multivariable model containing patient age, sex, PaO₂/FiO₂, lactate, C Reactive Protein, platelets, ICU admission and treatment with corticosteroids, enoxaparin, azithromycin or hydroxychloroquine. Dose of hydrocortisone and methylprednisolone were converted to equivalent doses of dexamethasone¹⁴.

The overlap weight propensity score¹⁵ was then applied to a logistic regression modelling the primary outcome (in-hospital mortality) and secondary outcome (ICU admission) considering only corticosteroids treatment received on the wards. Odds Ratio with 95% Confidence Interval (OR, 95% CI) are reported. Missing values were assessed and replaced by mean substitution. If a statistical significant association was found, the E-values for the point estimate and the confidence interval limit closer to the null were computed, to assess the possible effect of unmeasured confounder¹⁶. Three sensitivity analyses were planned: one taking into account the quartiles of timing of hospital admission, one excluding patients admitted to intensive care, another analyzing complete cases. Significance was evaluated at α = 0.05 and all testing was 2-sided.

Statistical analysis was performed using R Studio software version 4.0.0 (R Core Team 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/) and packages ‘psw’ and ‘E-value’ for overlap weight propensity score and calculation of E-value.

Ethics approval and consent to participate

The referral Ethics Committee (Comitato Etico di Brescia) approved the study and waived the need for informed consent from individual patients, due to the retrospective nature of the study. All research was conducted in accordance with the Declaration of Helsinki.

Results

One thousand four hundred and forty three patients were admitted to our hospital with a positive RT-PCR test for SARS-CoV-2. Five hundred and fifty nine patients (39%) were exposed to corticosteroids during hospital stay, 844 (61%) were not exposed to corticosteroids. Twentyseven patients were excluded from the analysis (one patient was younger than 18 years, and 26 patients were still hospitalized at the time of the analysis).

Median equivalent dexamethasone dose (cumulative dose/days of therapy) was 10 mg (1st–3rd quartile 4.5–20). Patients who were never admitted to ICU received an equivalent dose of dexamethasone of 8 mg (4–16.1). Duration of corticosteroid therapy was longer in survivors than in patients who died: 6 (4–10) days vs 4 (1–7), respectively (p < 0.001).

Clinical and laboratory characteristics in the cohort of patients exposed and not exposed to corticosteroids are shown in Table 1. Age was not significantly different between the two cohorts, while Body Mass Index was higher in patients treated with corticosteroids. Arterial hypertension was more frequent in the corticosteroid group, while diabetes mellitus was not significantly different between the two groups. Patients in the corticosteroids cohort were more hypoxic and the inflammation markers (CRP and LDH) were higher, moreover lymphocytopenia was more severe. PaCO₂ was not different in the two cohorts. One hundred seventy one patients died (30.6%) in the cohort of patients exposed to corticosteroids, and 183 (21.7%) died in the cohort of patients not exposed to corticosteroids (unadjusted p < 0.001). Fifty six patients (11.5%) were admitted to ICU in the cohort of patients exposed to corticosteroids on the ward vs 131 (14.4%) who were not treated with corticosteroids in the ward (unadjusted p = 0.15).

Table 1.

Demographics, comorbidities, laboratory data and outcomes of the study subjects.

		Not exposed to corticosteroids	Exposed to corticosteroids	p value
Patients	N (%)	844 (60)	559 (40)
Age	years	68.5 (15.1)	68.7 (11.5)	0.853
Body Mass Index	kg m−2	26.4 (5.0)	27.3 (4.9)	0.001
Female	N (%)	286 (33.9)	193 (34.5)	0.849
Arterial hypertension	N (%)	281 (33.3)	218 (39.0)	0.033
Diabetes mellitus	N (%)	164 (19.4)	125 (22.4)	0.207
PaO2	mmHg	59.9 (23.8)	53.2 (18.5)	< 0.001
pH		7.47 (0.06)	7.48 (0.07)	0.003
PaCO2	mmHg	35.2 (7.7)	34.8 (8.5)	0.356
PaO2/FiO2	mmHg	269.0 (75.1)	235.2 (74.6)	< 0.001
HCO3-	mmol L−1	24.7 (4.0)	24.8 (3.7)	0.551
Lactate	mmol L−1	1.3 (1.0)	1.4 (1.2)	0.193
Leukocytes	109 L−1	8.0 (4.1)	8.6 (4.4)	0.009
Lymphocytes	109 L−1	1.2 (1.1)	1.0 (1.0)	0.028
Platelets	109 L−1	196.8 (91.7)	203.3 (93.7)	0.221
C-reactive Protein	mg L−1	98.6 (78.3)	137.8 (93.1)	< 0.001
Lactate Dehydrogenase	U L−1	442.6 (248.6)	567.6 (224.6)	0.030

Factor variables are expressed as count (%), continuous variables as mean (standard deviation) or as median (interquartile range). Fisher test was used for factorial variables and t-test and Mann–Whitney test for continuous ones. BMI, body mass index; PaO₂ partial pressure of arterial oxygen; PaCO₂ partial pressure of arterial carbon dioxide; PaO₂/FiO₂, partial pressure of arterial oxygen to the fraction of inspired oxygen.

All the recorded variables were associated with mortality in the bivariate analysis except for Body Mass Index, history of arterial hypertension or diabetes mellitus and PaCO₂, as shown in Table 2.

Table 2.

Demographics, comorbidities, laboratory data and outcomes of survivors and nonsurvivors.

		Survivors	Non-survivors	p value
Patients	N (%)	1022 (72.8)	354 (25.2)
Age	years	65.8 (14.0)	76.4 (9.7)	< 0.001
Body Mass Index	kg m-2	26.6 (4.8)	27.2 (5.3)	0.071
Female	N (%)	374 (36.6)	93 (26.3)	0.001
Arterial hypertension	N (%)	377 (36.9)	122 (34.5)	0.451
Diabetes mellitus	N (%)	204 (20.0)	85 (24.0)	0.124
PaO2	mmHg	59.4 (19.8)	50.9 (25.6)	< 0.001
PaCO2	mmHg	35.0 (6.9)	35.0 (10.2)	0.914
PaO2/FiO2	mmHg	271.2 (69.5)	210.3 (76.8)	< 0.001
pH		7.48 (0.06)	7.46 (0.07)	< 0.001
HCO3-	mmol L−1	25.1 (3.5)	23.9 (4.5)	< 0.001
Lactate	mmol L−1	1.2 (0.7)	1.8 (1.5)	< 0.001
Leukocytes	109 L−1	8.0 (3.7)	8.8 (5.3)	0.002
Lymphocytes	109 L−1	1.2 (1.0)	0.9 (1.1)	< 0.001
Platelets	109 L−1	205.5 (91.7)	181.2 (87.7)	< 0.001
C-reactive Protein	mg L−1	100.8 (81.8)	154.6 (89.2)	< 0.001
Lactate Dehydrogenase	U L−1	479.7 (218.4)	658.2 (279.8)	0.011

Factor variables are expressed as count (%), continuous variables as mean (standard deviation) or as median (interquartile range). Fisher test was used for factorial variables and t-test and Mann–Whitney test for continuous ones. BMI, body mass index; PaO₂ partial pressure of arterial oxygen; PaCO₂ partial pressure of arterial carbon dioxide; PaO₂/FiO₂, partial pressure of arterial oxygen to the fraction of inspired oxygen.

Covariate balancing with overlap weight propensity score is shown in Fig. 1 expressed as standardized mean difference, which became zero after balancing.

Figure 1.

Covariance balance plot before and after overlap weights propensity matching for patients treated with corticosteroids and patients not treated with corticosteroid, expressed with standardized mean difference for comparability. ICU, Intensive Care Unit admission; RCP, Reactive C Protein; HDC, treatment with Hydroxychloroquine; AZT, treatment with Azithromycin; PF, PaO₂/FiO₂ ratio.

Table 3 shows that the exposure to corticosteroids was not associated with in-hospital mortality after balancing with overlap weight propensity score. Patients in the corticosteroids cohort had reduced risk of ICU admission and E-value of 2.26 (1.76 upper limit of C.I.). Planned sensitivity analyses were in agreement with these findings.

Table 3.

Odds ratio (OR) and 95% confidence interval are reported for logit regression, incidence rate ratios (IRR) and 95% confidence interval for Poisson regression.

		Unadjusted analysis	p value	Adjusted analysis	p value
Deceased	OR (95% CI)	1.57 (1.23–2.01)	< 0.001	1.15 (0.90–1.45)	0.25
Admitted ICU	OR (95% CI)	0.77 (0.55–1.07)	0.13	0.48 (0.34–0.66)	< 0.001

Discussion

Treatment with corticosteroids did not affect hospital mortality in patients with COVID-19 after balancing for confounders. Since their use was first proposed as a treatment strategy for ARDS^17,18, corticosteroids have been at the center of controversy in the scientific community. Some evidence points towards a beneficial effect of corticosteroids in ARDS^17,19–21. Recently Villar et al.²² showed that early therapy with dexamethasone could reduce the duration of mechanical ventilation and the overall mortality in patients with established moderate-to-severe ARDS, possibly because early administration could have an effect on the systemic immune response involved in ARDS pathophysiology. Some evidence casts doubts on the appropriateness of corticosteroid therapy: a large multicenter randomized clinical trial²³ showed no benefit in ARDS and found an increased risk of mortality when treatment began late in the course of the disease. Moreover, corticosteroid use has been associated with complications such as increased infection rate²⁴, hyperglycemia^25,26, hypernatremia²⁷ and ICU acquired weakness²⁸.

At the beginning of the COVID-19 pandemic, caution was advised when prescribing corticosteroids, due to the possibility of a more prolonged viral shedding and reduced viral clearance²⁹. The off-label use of steroids became increasingly popular after the first study on the possible decrease of mortality in COVID-19 ARDS associated with the use of corticosteroids was published¹⁰. Nevertheless, this study suffered some relevant limitations. Corticosteroids therapy was assessed in a small cohort of ARDS patients (84 patients), and 50 out of them (60%) received methylprednisolone. More relevantly, data were shown without any balancing for possible confounders.

The crude mortality in our study was higher in patients treated with corticosteroids than in patients who did not receive them. The risk of in-hospital death did not differ between patients who were treated and those who were not treated with corticosteroids when adjusted for patients’ characteristics, which were similar to the ones described in previous studies^30–32. The lack of effect of steroids on crude mortality has been previously reported in COVID-19 patients^33,34. Recently a pre-print, not peer-reviewed manuscript of a randomized clinical trial (RCT) called RECOVERY trial was made available. This trial reports a 3% reduction of hospital mortality with the use of corticosteroids in COVID-19 patients. We hope that the peer reviewed results and conclusions of this study will be made available as soon as possible, so as to have a better understanding of the effects of corticosteroids in COVID-19³⁵. Nonetheless data from randomized clinical trials should always be compared to data from observational studies, because it might suffer from limited external validity. In many occasions, randomized trials on septic patients were not subsequently confirmed and their importance was reduced with time, including what concerned the use of steroids^36–39.

A positive finding associated with the use of steroids was a reduced ICU admission rate compared to patients not receiving them. Corticosteroids can improve compliance and hypoxemia in ARDS patients²³, reducing the indication for ICU admission in our hospital during the COVID-19 pandemic, which was triggered by hypoxemia severity and dyspnea. In this sense, therapy with corticosteroids could be useful in reducing pressure on the Intensive Care Units in times of limited resources, as during the COVID-19 pandemic, when ICU bed occupancy had to be rationalized.

The impact of steroid therapy cannot be assessed without considering the dose used. In our patients, the median equivalent dose of dexamethasone was 10 mg/die. Recent data showed that a low dose corticosteroids, defined as lower than 1 mg kg⁻¹ day of prednisone (equivalent to 0.15 mg kg⁻¹ day⁻¹ of dexamethasone)¹⁴, had no effect on mortality, whereas higher doses were independently associated with and increase risk of death in patients with severe COVID-19⁴⁰. The average weight in our patients was 77 (standard deviation 17) kg, which means that the average daily dose was about 0.13 mg kg⁻¹ day⁻¹. Therefore the finding that low doses of steroids have no impact on mortality is confirmed by our data.

The study suffers three main limitations. First, it is a retrospective analysis of prospectively collected data. Second, it is a single center study and the findings might be valid for centers with a similar setting and volume of COVID-19 admissions. Finally, propensity score with overlap method was used to balance covariate across the two treatment cohorts, so the effect of known covariate associated with mortality was taken into account and more robust conclusions could be drawn⁴¹. Nevertheless the effect of unmeasured confounders cannot be excluded. In light of this limitation, meta-analyses taking into account data from this and other observational studies are needed.

In conclusion, treatment with corticosteroids was not associated with in-hospital mortality in patients admitted for COVID-19, when balancing for possible confounders. A possible advantage of corticosteroids was to reduce ICU admission, which could be useful in reducing pressure on the Intensive Care Units in times of limited resources, as during the COVID-19 pandemic.

Author contributions

All authors contributed to the data acquisition. F.A., G.N. and F.F. drafted the manuscript. F.A. designed and supervised the study. All authors contributed substantially to editing, revising and finalizing the manuscript before submission. All the authors approved the final manuscript.

Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Competing interests

The authors declare no competing interests.