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Annals of Cardiac Anaesthesia logoLink to Annals of Cardiac Anaesthesia
. 2017 Jan-Mar;20(1):14–21. doi: 10.4103/0971-9784.197820

Extracorporeal Membrane Oxygenation in Severe Influenza Infection with Respiratory Failure: A Systematic Review and Meta-analysis

Shashvat Sukhal 1,, Jaskaran Sethi 1, Malini Ganesh 1, Pedro A Villablanca 2, Anita K Malhotra 3, Harish Ramakrishna 4,5
PMCID: PMC5290688  PMID: 28074789

Abstract

Introduction:

Extracorporeal membrane oxygenation (ECMO) has been extensively used for potentially reversible acute respiratory failure associated with severe influenza A (H1N1) pneumonia; however, it remains an expensive, resource-intensive therapy, with a high associated mortality. This systematic review and meta-analysis aims to summarize and pool outcomes data available in the published literature to guide clinical decision-making and further research.

Methods:

We conducted a systematic search of MEDLINE (1966 to April 15, 2015), EMBASE (1980 to April 15, 2015), CENTRAL, and Google Scholar for patients with severe H1N1 pneumonia and respiratory failure who received ECMO. The study validity was appraised by Newcastle–Ottawa Scale. The primary outcome was all-cause mortality. The secondary outcomes were duration of ECMO therapy, mechanical ventilation, and Intensive Care Unit (ICU) length of stay.

Results:

Of 698 abstracts screened and 142 full-text articles reviewed, we included 13 studies with a total of 494 patients receiving ECMO in our final review and meta-analysis. The study validity was satisfactory. The overall mortality was 37.1% (95% confidence interval: 30–45%) limited by underlying heterogeneity (I2 = 65%, P value of Q statistic = 0.006). The median duration for ECMO was 10 days, mechanical ventilation was 19 days, and ICU length of stay was 33 days. Exploratory meta-regression did not identify any statistically significant moderator of mortality (P < 0.05), except for the duration of pre-ECMO mechanical ventilation in days (coefficient 0.19, standard error: 0.09, Z = 2.01, P < 0.04, R2 = 0.16). The visual inspection of funnel plots did not suggest the presence of publication bias.

Conclusions:

ECMO therapy may be used as an adjunct or salvage therapy for severe H1N1 pneumonia with respiratory failure. It is associated with a prolonged duration of ventilator support, ICU length of stay, and high mortality. Initiating ECMO early once the patient has been instituted on mechanical ventilation may result in improved survival.

Keywords: Acute respiratory distress syndrome, extracorporeal membrane oxygenation, influenza A pneumonia, meta-analysis, outcomes

Introduction

Severe acute respiratory failure has a high mortality despite the recent advances in intensive care.[1] Extracorporeal membrane oxygenation (ECMO) uses cardiopulmonary bypass technology to support gas exchange independent of mechanical ventilation in severe acute respiratory failure. The global experience of the 2009 novel influenza A (H1N1) pandemic witnessed large-scale use of rescue ECMO therapy in patients with severe acute respiratory distress syndrome (ARDS), since these were younger patients with fewer comorbidities, and had a higher likelihood of reversible respiratory failure.[2] In the postpandemic phase, H1N1 pdm09 remains the predominant seasonal strain, and the percentage of deaths attributed to severe influenza and pneumonia has crossed the epidemic threshold every year in the last 4 years.[3] However, the implementation of a successful ECMO program requires significant institutional investment in terms of resources, staffing, and training in addition to the high costs of the infrastructure required, leading some to question the cost-effectiveness of the widespread implementation of such programs.[4]

The aim of this review is to provide an updated review on the global experience of ECMO in acute respiratory failure due to H1N1 pneumonia in the postpandemic phase, to guide clinical decisions in the implementation of ECMO and future research efforts. We developed a protocol for this systematic review and followed reporting recommendations from Preferred Reporting Items for Systematic Reviews and Meta-analyses.[5]

Methods

Data sources

Using relevant keywords, MeSH terms, and text with the following search strategy: (influenza OR H1N1) AND (ALI OR (“acute lung injury”) OR ARDS OR ("acute respiratory distress syndrome") OR ("acute respiratory failure")) AND ECMO OR ("extracorporeal membrane oxygenation"), we performed a systematic search of MEDLINE (1946 to April 15, 2015) via Ovid, EMBASE (1980 to April 15, 2015) via Scopus, CENTRAL, and Google Scholar for all English language abstracts. We also examined bibliography of included articles to identify additional references.

Study selection

We screened citations by title and abstract for patients with H1N1 influenza infection on ECMO. Full-text review of pertinent citations was done with the following selection criteria for study inclusion: (a) Patients with suspected or confirmed H1N1 influenza infection; (b) with respiratory failure; and (c) receiving ECMO. We excluded (a) case reports; (b) case series describing less than ten patients; and (c) studies where outcomes of interest were not available. In cases of multiple publications describing the same patient cohort, the one with more patients describing relevant outcomes was used.

Study outcomes

The primary outcome of interest was all-cause mortality presented as the longest time to follow-up available. The secondary outcomes were duration of ECMO therapy, mechanical ventilation, and Intensive Care Unit (ICU) length of stay.

Data extraction and synthesis

Two authors (Shashvat Sukhal and Jaskaran Sethi) independently reviewed titles and abstracts of the identified resources. They obtained the full text of all studies of possible relevance for independent assessment. All the authors decided which trials fit the inclusion criteria. The authors resolved any disagreement by consensus. Two authors (Shashvat Sukhal and Malini Ganesh) performed data extraction independently with specific data extraction forms, and the third author (Jaskaran Sethi) confirmed the accuracy. Outcome variables and 95% confidence intervals (CIs) were derived from each study and summary statistics were applied as appropriate. Two reviewers (Shashvat Sukhal and Jaskaran Sethi) independently assessed the risk of bias using standard criteria defined in the Cochrane Handbook for Systematic Reviews of Interventions[6] and the Newcastle–Ottawa Scale for observational studies.[7]

Statistical analysis

Data were summarized using the generic inverse variance method with random effects model. We evaluated heterogeneity of effects using the Higgins’ I2 and Q-statistic test. Heterogeneity was defined as I2 >25%, statistical significance was set at a P < 0.05 (two-tailed). Results are reported as summary point estimate (95% CI). We performed random effects meta-regression using method of moments to identify significant moderator variables in linear meta-regression analyses. To address publication bias, we used three methods: Visual inspection of funnel plots, Begg–Mazumdar test, and Egger test. Statistical analyses were performed using MedCalc for Windows, version 15.0 (MedCalc Software, Ostend, Belgium) and Comprehensive Meta-analysis, version 3.3 (Biostat, Englewood, NJ, USA).

Results

Study selection

Of 698 abstracts screened and 142 full-text articles reviewed, we included 13 studies[8,9,10,11,12,13,14,15,16,17,18,19,20] with a total of 494 patients receiving ECMO, in our final meta-analysis [Figure 1] after thorough appraisal. All studies were observational, either single center or multicenter cohorts or case series. There were no randomized controlled trials. Most studies were based on the 2009 H1N1 influenza pandemic in various parts of the world, which include Europe, North America, Australia/New Zealand, and Asia (Japan). There were several studies where data were derived from a common patient population reported to national registries such as the Australia and New Zealand Intensive Care Registry, the German ARDS Network, and the French REVA Registry. To avoid duplication, patient characteristics and outcomes were extracted from multiple sources, merged, and presented in the data tables. Overall, the study validity was adequate with a median score of 7 on the Newcastle–Ottawa Scale [Figure 2].

Figure 1.

Figure 1

Preferred Reporting Items for Systematic Reviews and Meta-analyses diagram for study selection

Figure 2.

Figure 2

Forest plot for mortality diamond indicates overall summary estimate for the analysis (width of the diamond represents 95% confidence interval and size of the shaded square indicates population size)

Study characteristics

A total of 1175 patients with H1N1 influenza infection with respiratory failure needing admission to the ICU have been included. Of these, 494 (42%) patients received ECMO. Median age of those receiving ECMO was 40 years, and 55% were men, 40% were obese, 13% had diabetes, 14% had preexisting lung disease, and 8% were peripartum. The median sequential organ failure assessment (SOFA) score was 9.5 and lung injury score was 3.8. Veno-venous (VV)-ECMO was used in 94% cases, with a median duration of pre-ECMO mechanical ventilation of 2 days and pre-ECMO PaO2/FiO2 ratio of 58 [Table 1]. Details of cannulation for ECMO are shown in Table 2.

Table 1.

Clinical characteristics of included patients

Study Design Setting Total patients in ICU (n) ECMO (n) Age (median in years) Male sex (%) Obese (%) DM (%) PELD (%) Peripartum (%) SOFA (median) Lung injury score (median) Newcastle–Ottawa score
Kutleša, 2014 (Croatia) Case series Single center 17 17 43 71 NA 17 5 NA NA 7
Pham, 2013 (France) Observational cohort Multicenter 589 123 42 50 40 NA NA 15 9.5 3.4 9
Weber-Carstens, 2013 (Germany) Observational cohort Multicenter 116 61 42 55 NA 13 16 6 12.8 NA 9
Michaels, 2013* (USA) Case series Single center 15 15 34 47 26 13 NA 10 NA NA 6
Roncon-Albuquerque, 2012 (Portugal) Observational cohort Single center 51 10 40 60 40 10 NA NA NA 3.5 6
Takeda, 2012 (Japan) Case series Multicenter 14 14 54 85.7 57 NA NA 7 15.5 NA 6
Schellongowski, 2011 (Austria) Case series Single center 17 10 39 52 29 NA NA NA NA 4 6
Noah, 2011 (UK) Observational cohort Multicenter 80 69 36.5 38 11 5 10 26 9.1 3.5 7
Patroniti, 2011 (Italy) Observational cohort Multicenter 153 60 (11#) 39 57 39 6 12 8 7 NA 8
Forrest, 2011 (Australia) Case series Multicenter 17 17 34 50 48 14 42 5 8 3.75 8
Beutel, 2011 (Germany) Observational cohort Single center 25 17 45 64 40 12 16 NA 11 NA 6
Holzgraefe, 2010 (Sweden) Case series Single center 13 13 31 61 38 23 8 23 NA 3.6 6
Davies, 2009 (Australia/New Zealand) Observational cohort Multicenter 68 68 (7#) 36 48 NA 15 30 NA NA 3.8 6

#Figures in brackets show suspected but not confirmed cases of H1N1, *Data are presented as mean excluded from analysis. Lung injury score (Murray score):[21] Used to assess the extent of pulmonary damage. Comprises of a point score system which includes four criteria: Extent of consolidation on chest X-ray, PaO2/FiO2 ratio, level of applied PEEP and respiratory system compliance. Scores >2.5 represent severe lung injury. Newcastle-Ottawa Score:[7] The Newcastle-Ottawa Scale is a quality assessment tool for nonrandomized studies in systematic review, using three broad perspectives: selection of study groups, comparability of the groups and ascertainment of exposure or outcome of interest. NA: Data not available, PEEP: Positive end-expiratory pressure, DM: Diabetes mellitus, PELD: Preexisting lung disease, ICU: Intensive Care Unit, ECMO: Extracorporeal membrane oxygenation, SOFA: Sequential organ failure assessment

Table 2.

Technical details of extracorporeal membrane oxygenation cannulation wherever available

Study Site of insertion Cannula size
Kutleša, 2014 (Croatia) Outflow: Femoral vein (17)
Return: Jugular vein (14), femoral vein (3)
21-23 Fr outflow, 19-21 Fr return
Roncon-Albuquerque, 2012 (Portugal) Outflow: Right femoral vein or right femoral artery
Return: Right internal jugular vein
21-23 Fr outflow, 17-19 Fr return
Takeda, 2012 (Japan) Outflow: Femoral vein (14), IVC (10), RA (4)
Inflow: Jugular vein (12), SVC (8), RA (4), IVC (2)
18-21.5 Fr outflow, 12-21 Fr return
Patroniti, 2011 (Italy) Femorojugular (33), femoro-femoral (26); veno-arterial (1) NA
Forrest, 2011 (Australia) Outflow: Femoral or right internal jugular
Return: Femoral artery or vein
NA
Holzgraefe, 2010 (Sweden) Outflow: Right internal jugular
Inflow: Right or left femoral vein; femoral artery if veno-arterial
23-29 Fr outflow, 19-23 Fr return
Davies, 2009 (Australia/New Zealand) All patients had peripheral approach (jugular or femoral), one patient had central cannula NA

SVC: Superior vena cava, NA: Data not available, RA: Right atrium, IVC: Inferior vena cava

Outcomes

Outcomes were highly variable with an in-hospital or short-term mortality ranging from 8% to 65%, likely reflecting heterogeneity in the patient population, disease severity, and treatment received. The overall mortality was 37.1% (95% CI: 30–45%) limited by underlying heterogeneity (I2 = 65%, P value of Q statistic = 0.006). The median duration for ECMO was 10 days, mechanical ventilation was 19 days, and ICU length of stay was 33 days [Table 3]. The causes of death in patients receiving ECMO (wherever available) are shown in Table 4.

Table 3.

Key procedural details and outcomes

Study VV ECMO (%) Pre-ECMO MV Median (days) Pre-ECMO PaO2/FiO2 ratio Median (days) Mortality (%)

ECMO duration MV ICU LOS
Kutleša, 2014 100 2 58 8 NA NA 35
Michaels, 2013 46 3.5 62 9.8 NA 21 40
Pham, 2013 87 2 63 11 28 33 36
Weber-Carstens, 2013 NA 2.6 87 NA 32 33 54
Roncon-Albuquerque, 2012 90 9.3 69 22 32 36 60
Takeda, 2012 100 5 50 8.5 NA NA 65
Beutel, 2011 100 NA 85 10 19 NA 48
Forrest, 2011 94 2 57 10 NA 36 19
Noah, 2011 84 4 55 9 NA NA 29
Patroniti, 2011 98 2 63 10 18 22 32
Schellongowski, 2011 80 NA 56 13 17 21 50
Holzgraefe, 2010 92 1 53 16 NA NA 8
Davies, 2009 93 2 56 10 18 27 29

NA: Data not available, ICU: Intensive Care Unit, ECMO: Extracorporeal membrane oxygenation, VV: Veno-venous, LOS: Length of stay, MV: Mechanical ventilation

Table 4.

Major causes of death in individual studies wherever ascertainable, during or after extracorporeal membrane oxygenation therapy

Study Causes of death

Multiple organ failure Significant hemorrhage Noscomial infection/sepsis Refractory circulatory failure Refractory respiratory failure Others
Kutleša, 2014 (Croatia) 2 1 1 3 1
Pham, 2013 (France) 22 5 1 6 8 3
Weber-Carstens, 2013 (Germany) NA NA NA NA NA NA
Roncon-Albuquerque, 2012 (Portugal) 1 2 1 1 - -
Takeda, 2012 (Japan) 4 3 - - 3 2
Schellongowski, 2011 (Austria) 3 4 - - - -
Noah, 2011 (UK) 5 10 1 1 2 3
Patroniti, 2011 (Italy) 10 4 5 1 - 8
Forrest, 2011 (Australia) 2 1 - - 3 -
Beutel, 2011 (Germany) 12 - - - - -
Holzgraefe, 2010 (Sweden) - 1 - - - -
Davies, 2009 (Australia/NZ) - 10 1 - 4 -

Significant hemorrhage includes intracranial hemorrhage. All numbers indicated in the columns reflect number of patients who were thought to have died from the cause mentioned. NA: Data not available

Exploratory meta-regression did not identify any statistically significant moderator of mortality (P < 0.05), except for the duration of pre-ECMO mechanical ventilation in days [coefficient 0.19, standard error: 0.09, Z = 2.01, P < 0.04, R2 = 0.16, Figure 3].

Figure 3.

Figure 3

Regression of mortality on duration of pre-ECMO mechanical ventilation in days

The funnel plot did not show asymmetry suggesting bias for all outcomes [Figure 4]. This was confirmed also after quantifying the observed bias with others method (Begg–Mazumdar test and Egger test P > 0.05). The individual study quality appraisals of the included studies are summarized in Table 1. Overall, the study validity was adequate with a median score of 7 on the Newcastle–Ottawa Scale.

Figure 4.

Figure 4

Funnel plot for mortality

Discussion

This systematic review pools data on patient characteristics and outcomes of 454 patients with suspected or confirmed H1N1 influenza with respiratory failure treated by ECMO, described in 13 studies. It provides an updated to an existing review by Zangrillo et al., 2013,[21] by including five additional studies which were published later. There were no randomized trials with a direct comparison of ECMO versus no ECMO for this patient population. All of these studies were either case series or observational cohort studies.

Many patients with respiratory failure and severe pandemic H1N1 pneumonia were young, with obesity, diabetes, and preexisting lung disease as significant comorbidities. A number of young peripartum women were also affected by this disease. The association of younger age, obesity, and pregnancy has been well described and studied for pandemic H1N1.[21,22,23,24] The protective effect of increased age has been attributed to preexisting cross-reactive antibodies in older persons from prior exposure to similar strains.[25] The loss of the leptin receptor leads to decreased viral clearance in obese mice and has been suggested to be one of the factors which may explain excess mortality in obese patients.[26] The subgroup of peripartum women with respiratory failure and severe H1N1 has been described by Saad et al. in a separate meta-analysis, which showed a pooled mortality of 25.4%.[27]

The majority of patients in all studies received VV-ECMO, except in Michaels et al.,[11] where 52% patients received veno-arterial (VA)-ECMO. There was no significant impact of the type of ECMO on mortality by meta-regression although VV-ECMO is associated with fewer vascular complications and easier access, at the cost of lesser hemodynamic support and oxygenation, when compared to VA-ECMO.[28]

Our point estimate of overall pooled mortality for respiratory failure with severe H1N1 is 37.1%, which should be viewed in the context of the overall mortality in ALI/ARDS, which ranges from 15% to 75%, with a pooled point estimate of 43% (95% CI: 40–46%).[29] The high initial median SOFA scores and lung injury scores, duration of mechanical ventilation, and ICU stay all probably contribute to the high mortality seen in these patients. Pappalardo et al. suggest that in patients undergoing VV-ECMO with severe H1N1 respiratory failure, initial extrapulmonary organ failure scores may best predict mortality, and have suggested an ECMONet scoring system, which includes duration of hospital stay before ECMO initiation, creatinine, bilirubin, hematocrit, and mean arterial pressure as significant determinants.[30]

Of note, on exploratory meta-regression, the only statistically significant moderator of mortality was the duration of pre-ECMO mechanical ventilation. Although these results should be interpreted cautiously and in light of the various limitations of meta-regression analysis,[31] this finding is consistent with the experience of the Italian ECMONet, where the duration of mechanical ventilation before ECMO was an independent predictor of mortality.[16] In addition, the results of the CESAR trial,[32] and propensity score matching analysis by Noah et al.,[15] further suggest that referral and transfer to an ECMO center are associated with a 50% reduction in mortality.

Although it is difficult to disentangle the effect of ECMO therapy itself from probably better overall intensive care provided at ECMO referral centers which are usually centers of excellence,[4] it is not unreasonable to surmise that an early referral and transfer to such an ECMO center, probably saves lives in patients with respiratory failure and severe H1N1 pneumonia.

Limitations

Our meta-analysis has several potential limitations. First, all included studies were observational, as no randomized trials exist for this topic. While pooling results from observational studies may meaningful and guide further research, the definitive determination of efficacy and safety of ECMO in severe H1N1 should come from randomized clinical trials designed to specifically address these issues. Potential biases are likely to be greater for observational studies compared with RCTs; therefore, results should always be interpreted with caution when they are included in reviews and meta-analyses. Second, this is a meta-analysis performed on study-level data rather than individual patient-level data. It is known that study-level analyses can lead to biased assessments and have some limitations in explaining the heterogeneity.[33] Third, data such as time from onset of symptoms to diagnosis of H1N1, timing, and duration of antiviral therapy, steroid therapy, or ventilator strategies involved were not available across trials. All these factors probably play a large role in determining outcomes and were not accounted for in this analysis. Fourth, the selection criteria for ECMO referral and initiation of therapy were diverse between studies. Fifth, the observational nature of meta-regressions carries major unavoidable limitations, including the risk of incorrect conclusions caused by ecological fallacy. Sixth, the wide variation in the number of subjects in different studies would result in a higher weightage assigned to the larger study, and the overall point estimate of the primary outcome of mortality would perhaps be more reflective of that institution or regions experience with the disease and care delivery. On the other hand, despite these limitations, the consistency of the magnitude and direction of the overall effect and the stability of the results after the sensitivity analyses support our conclusions.

Conclusions

ECMO therapy may be used as an adjunct or salvage therapy for severe H1N1 pneumonia with respiratory failure; however, no definite conclusions can be drawn due to the lack of randomized trials. It is associated with a prolonged duration of ventilator support, ICU length of stay, and high mortality. Initiating ECMO early once the patient has been instituted on mechanical ventilation may result in improved survival.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

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