Literature DB >> 35434060

Mortality in patients with COVID-19 requiring extracorporeal membrane oxygenation: A meta-analysis.

Ye Zhang1, Lei Wang1, Zhi-Xian Fang2, Jing Chen3, Jia-Lian Zheng3, Ming Yao4, Wen-Yu Chen5.   

Abstract

BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a worldwide pandemic and significant public health issue. The effectiveness of extracorporeal membrane oxygenation (ECMO) in treating COVID-19 patients has been called into question. AIM: To conduct a meta-analysis on the mortality of COVID-19 patients who require ECMO.
METHODS: This analysis adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes 2020 (PRISMA) and has been registered at the International Prospective Register of Systematic Reviews (number CRD42020227414). A quality assessment for all the included articles was performed by the Newcastle-Ottawa Scale (NOS). Studies with tenor more COVID-19 patients undergoing ECMO were included. The random-effects model was used to obtain the pooled incidence of mortality in COVID-19 patients receiving ECMO. The source of heterogeneity was investigated using subgroup and sensitivity analyses.
RESULTS: We identified 18 articles with 1494 COVID-19 patients who were receiving ECMO. The score of the quality assessment ranged from 5 to 8 on the NOS. The majority of patients received veno-venous ECMO (93.7%). Overall mortality was estimated to be 0.31 [95% confidence interval (CI): 0.24-0.39; I 2 = 84.8%] based on random-effect pooled estimates. There were significant differences in mortality between location groups (33.0% vs 55.0% vs 37.0% vs 18.0%, P < 0.001), setting groups (28.0% vs 34.0%, P < 0.001), sample size (37.0% vs 31.0%, P < 0.001), and NOS groups (39.0% vs 19.0%, P < 0.001). However, both subgroup analyses based on location, setting, and sample size, and sensitivity analysis failed to identify the source of heterogeneity. The funnel plot indicated no evident asymmetry, and the Egger's (P = 0.95) and Begg's (P = 0.14) tests also revealed no significant publication bias.
CONCLUSION: With more resource assessment and risk-benefit analysis, our data reveal that ECMO might be a feasible and effective treatment for COVID-19 patients. ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.

Entities:  

Keywords:  COVID-19; Extracorporeal membrane oxygenation; Meta-analysis; Mortality; SARS-CoV-2; Veno-venous extracorporeal membrane oxygenation

Year:  2022        PMID: 35434060      PMCID: PMC8968615          DOI: 10.12998/wjcc.v10.i8.2457

Source DB:  PubMed          Journal:  World J Clin Cases        ISSN: 2307-8960            Impact factor:   1.337


Core Tip: Coronavirus disease 2019 (COVID-19) has become a worldwide pandemic and significant public health issue. The effectiveness of extracorporeal membrane oxygenation (ECMO) in treating COVID-19 patients has been called into question. Therefore, we conducted this meta-analysis on the mortality of COVID-19 patients who require ECMO. We identified 18 articles with 1494 COVID-19 patients who were receiving ECMO. With more resource assessment and risk-benefit analysis, our data reveal that ECMO might be a feasible and effective treatment for COVID-19 patients.

INTRODUCTION

Coronavirus disease 2019 (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, has become a global pandemic. As of October 25, 2021, there have been over 243 million infections and approximately 4.9 million deaths[1]. It was characterized by rapid disease progression and a high risk of acute respiratory distress syndrome (ARDS) due to severe or fatal pneumonia[2]. Although the majority of COVID-19 patients have very moderate disease, current studies suggest that approximately 18% of them have serious disease[3] with a mortality rate of up to 53%-67%[4,5]. Extracorporeal membrane oxygenation (ECMO), which can support gas exchange in patients failing conventional mechanical ventilation[6], has been proven to be effective in the treatment of severe respiratory failure and cardiovascular compromise caused by ARDS, based on the experience of previous viral outbreaks, such as Middle East Respiratory Syndrome and H1N1 influenza[7-9]. There are two primary ECMO therapy methods: Veno-venous ECMO (VV-ECMO) and veno-arterial ECMO (VA-ECMO). For the vast majority of COVID-19 patients who need ECMO treatment, we adopted VV-ECMO. The World Health Organization (WHO) and Chinese experts have recommended that ECMO can be used as a salvage therapy for severe COVID-19 patients who are not responding to conventional ARDS treatments[10-14]. Although there are still numerous complications, research has revealed that 63% of patients recovered from ARDS and were weaned from ECMO. Despite such optimism for a possible role for ECMO in COVID-19, concerns have been raised due to the high mortality rate observed in studies[15]. Venerable age, late ECMO initiation time, and multiple complications (diabetes, heart disease, obesity, etc.) are all independent risk factors that increase the 90-d mortality rate. The role of ECMO in the treatment of diseases caused by this new virus is still uncertain and controversial. Currently, there is insufficient worldwide evidence to assess the effectiveness of ECMO. The majority of prior studies were based on retrospective cohort studies and case reports in a specific population, making it difficult to analyze the impact of ECMO on COVID-19 patients in a systematic manner[6]. Therefore, we conducted a meta-analysis focusing on the mortality of COVID-19 patients requiring ECMO in order to guide current clinical practice and future research efforts.

MATERIALS AND METHODS

Search strategy

To identify articles concerning ECMO and COVID-19, a comprehensive literature search was undertaken utilizing the PubMed, EMBASE, Web of Science, Cochrane Library, and Clinical Trials databases. On December 9, 2020, all searches were updated, and the search strategy was divided into two categories: (1) COVID-19; and (2) ECMO. The following keywords were used: “COVID-19”, “2019 novel coronavirus disease”, “2019-nCoV”, and “Extracorporeal membrane oxygenation.” The articles were limited to English literature. To prevent missing relevant records, reference lists from the selected studies and systematic reviews were thoroughly searched. Furthermore, this systematic review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines, and it was registered at the International Prospective Register of Systematic Reviews (number CRD42020227414) prior to submission.

Inclusion and exclusion criteria

Original studies that matched the following criteria were included in the meta-analysis: (1) Studies with tenor more patients; (2) Patients with laboratory-confirmed COVID-19 receiving ECMO; (3) Studies with primary data; and (4) Studies with more than 5 points on the Newcastle-Ottawa scale (NOS). The exclusion criteria were: (1) Duplicate publication or dataset; and (2) Animal and in vitro experiments, case reports, letters, editorials, comments, conference summaries, meta-analyses, and reviews were excluded.

Data extraction

Data from the included articles were extracted, including authors' names, publication year, study location, study design, sample size, patient baseline characteristics, clinical parameters, management, primary outcome, and complications. The article search, selection, data extractions, and quality assessment were all conducted independently by two reviewers (ZY and CWY), and any disagreements were resolved after consensus.

Quality assessment

The NOS was applied for a quality assessment on all of the included papers. All included papers were classified as poor (scores 0–3), moderate (scores 4–6), or high (scores 7–9) quality studies, with papers with more than 5 points being considered for further analysis.

Statistical analysis

The pooled estimates of the event rate were obtained using the random-effects model. Each study had its own underlying effect size. The random-effects model assumes that there is a mean population effect size that varies depending on the study. We used the inconsistency statistic (I2) to evaluate the extent of heterogeneity. An I2 value greater than 50% was considered to indicate substantial heterogeneity. The Egger's and Begg's tests were used to assess publication bias and a visual funnel plot for asymmetry was presented. Sensitivity analysis and subgroup analysis were also utilized to investigate the source of heterogeneity and a two-sided test at the 5% level was considered statistically significant. Moreover, Stata 15.1 (Stata Corporation, College Station, TX, United States) was utilized to conduct the meta-analysis.

RESULTS

In the initial search, 1821 potentially relevant articles were identified. After eliminating duplicates, 1153 studies were assessed based on title and abstract. Following a full-text review of the remaining 56 studies, 38 studies were excluded. Finally, the meta-analysis comprised 18 articles representing 1494 verified COVID-19 patients treated with ECMO (Figure 1). Since EuroELSO was a subset of centers participating in the international ELSO registry, we eliminated the previous study on EuroELSO to avoid data duplication[16,17].
Figure 1

Patient selection flowchart. COVID-19: Coronavirus disease 2019.

Patient selection flowchart. COVID-19: Coronavirus disease 2019.

Studies characteristics and quality assessment

The characteristics of these studies are summarized in Table 1. All of the studies were observational in design, with the majority of them being retrospective (94.2%). The score of the quality assessment ranged from 5 to 8 on the NOS. All studies were rated as “moderate to high quality.” In the majority of cases, VV-ECMO was utilized (93.8%). Table 2 summarizes the sample characteristics of the included studies.
Table 1

Characteristics of included studies

Ref.
Year
Location
Study design
Sample size
Type of ECMO (VV%)
Follow-up
NOS score
Zhang et al[31]2020United KingdomRetrospective/Single center43100%In-hospital7
Yang et al[21]2020ChinaRetrospective/Multicenter21NAIn-hospital8
Barbaro et al[16]2020ELSORetrospective/Multicenter103594.49%3 mo7
Alnababteh et al[32]2021United StatesRetrospective/Single center13100%In-hospital8
Le Breton et al[27]2020FranceRetrospective/Single center13100%In-hospital5
Guihaire et al[33]2020FranceRetrospective/Single center24100%In-hospital5
Jäckel et al[34]2020GermanRetrospective/Single center15100%1 mo8
Jang et al[19]2020KoreaRetrospective/Multicenter1984.21%In-hospital7
Schmidt et al[35]2020FranceRetrospective/Multicenter8397.59%3 mo7
Riera et al[36]2020SpainRetrospective/Single center19100%In-hospital5
Jacobs et al[24]2020United StatesRetrospective/Multicenter3278.13%In-hospital6
Bemtgen et al[37]2021GermanProspective/ Single center11100%28 d8
Cousin et al[20]2021FranceRetrospective/Multicenter30100%3 mo8
Sultan et al[28]2020United StatesRetrospective/Multicenter10100%26 d5
Yankah et al[38]2021GermanRetrospective/Multicenter42100%1 mo5
Kon et al[29]2021United StatesRetrospective/Single center27100%In-hospital6
Zayat et al[39]2021GermanRetrospective/Single center1794.12%In-hospital7
Mustafa et al[40]2020United StatesRetrospective/Multicenter40100%In-hospital7

ECMO: Extracorporeal membrane oxygenation; NOS: Newcastle-Ottawa Scale; NA: Not available.

Table 2

Patient characteristics, clinical parameters, management, and primary complications of the included studies

Ref.
Age (yr)
Proportion of male (%)
Smoke
SOFA
PH
PaO2/FiO2 (mmHg)
Comorbidities
ECMO duration (d)
Pre-ECMO MV (d)
Complications
Zhang et al[31]46 (35.5-52.5)76.7%NA7 (4-10)7.30 (7.19–7.36)67.5 (58.9–77.8)(1), (2), (3), (4), (5)13 (8-20)5 (2-6)1, 2, 4, 5
Yang et al[18]45.2 ± 14.557.1%NA6.5 (4.8-8.0)7.30 (7.19–7.41)60 (55.6-72.0)(3), (4), (6)9.1 (5.9-24.8)1.5 (0.5-3.5)1, 2, 6
Barbaro et al[16]49 (41–57)73.8%NANANA72 (59-94)(2), (3), (4), (5), (6)13.9 (7.8-23.3)4 (1.8-6.4)1, 3, 7, 8
Alnababteh et al[32]44.5 ± 9.561.5%19.3 ± 4.57.32 (7.23-7.39)81.3 ± 20.3(1), (2)12 (10.4-16.2)NA1, 2, 6
Le Breton et al[27]49.369.2%49.97.2859(1)13 (3-34)61, 2
Guihaire et al[33]48.8 ± 8.983.3%2NANA67 (52–78)(1), (2)19 ± 10.16.3 (1-11)1, 3
Jäckel et al[34]60.8 (54.1-67.0)26.7%310 (8-11)7.30 (7.23-7.40)NA(1), (2), (3), (4)11.3 (7.8-23.8)NANA
Jang et al[19]63 (60-66)79.0%3NA7.30 (7.20-7.40)92 (62.4-138.7)(1), (2), (3), (4), (5), (6)15.9 (7.7-28.2)3.1 (0.8-5.5)1, 4, 5, 6, 8
Schmidt et al[35]49 (41-56)73.5%212 (9-13)7.32 (7.24–7.38)60 (54–68)(1), (3), (4), (5), (6), (7)NA4 (3-6)1, 2, 3, 5, 8
Riera et al[36]50.5 (31-64)84.2%NANA7.2 (6.9–7.4)70.8 (57–118)(1), (3)10.7 (2-33)NA1, 3
Jacobs et al[24]52.4 ± 12.568.8%NANANANA(2), (3), (4), (5)7.3 ± 3.34.3 ± 2.4NA
Bemtgen et al[37]59.4 (49.8-61.1)63.6%NA14 (13–16)NANANA17.9 (7.8-23.8)NANA
Cousin et al[20]57 (47-62)80.0%110 (7-12)7.37 (7.32-7.41)69 (63-75)(1), (3), (4), (5), (7)11 (7-14)6 (4-9)1, 2, 3, 6, 8
Sultan et al[28]NA70.0%2NANANA(3), (4)11 (4-14)NA6
Yankah et al[38]51 (25-73)NANANANANANA10.6NANA
Kon et al[29]40 (30.5-47)85.2%NANA7.28 (7.22-7.39)84 (70-118)(1), (3), (4), (5), (6), (7)11 (10-14)2 (1-4)3, 4, 6
Zayat et al[39]57 (39-73)64.7%411.9 ± 9.47.3 (7.2-7.4)53-75(1), (3), (5), (6), (7)16 (11-21)3 (3-15)1, 3, 5, 8
Mustafa et al[40]48.4 (22-62)75%7NANANA(1), (2), (3), (4), (5), (6)13.0 ± 2.64.0 ± 0.5NA

NA: Not available; SOFA: Sequential Organ Failure Assessment score; MV: Mechanical ventilation; CNS: Central nervous system.

Mean ± SD or median (interquartile range).

Comorbidities: (1)-Hypertension; (2)-Diabetes; (3)-Lung disease; (4)-Obesity; (5)-Heart disease; (6)-Kidney disease; (7)-Immunosuppression.

Complications: 1-Hemorrhage; 2-Infection; 3-Thrombosis; 4-Pneumothorax; 5-Cardiovascular complications; 6-Renal complications; 7-Respiratory failures; 8-Neurological complications.

Characteristics of included studies ECMO: Extracorporeal membrane oxygenation; NOS: Newcastle-Ottawa Scale; NA: Not available. Patient characteristics, clinical parameters, management, and primary complications of the included studies NA: Not available; SOFA: Sequential Organ Failure Assessment score; MV: Mechanical ventilation; CNS: Central nervous system. Mean ± SD or median (interquartile range). Comorbidities: (1)-Hypertension; (2)-Diabetes; (3)-Lung disease; (4)-Obesity; (5)-Heart disease; (6)-Kidney disease; (7)-Immunosuppression. Complications: 1-Hemorrhage; 2-Infection; 3-Thrombosis; 4-Pneumothorax; 5-Cardiovascular complications; 6-Renal complications; 7-Respiratory failures; 8-Neurological complications. The in-hospital or short-term mortality ranged between 0.04 and 0.57. Overall pooled mortality was estimated to be 0.31 [95% confidence interval (CI): 0.24-0.39; I2 = 84.8%] using random-effect pooled estimates (Figure 2). Two studies found that the mortality rate in the ECMO group was lower than that in the mechanical ventilator group (57.1% vs 63.2% and 46.2% vs 47.8%).
Figure 2

Forest plot of in-hospital or short-term mortality in patients with coronavirus disease 2019 requiring extracorporeal membrane oxygenation. COVID-19: Coronavirus disease 2019; ECMO: Extracorporeal membrane oxygenation.

Forest plot of in-hospital or short-term mortality in patients with coronavirus disease 2019 requiring extracorporeal membrane oxygenation. COVID-19: Coronavirus disease 2019; ECMO: Extracorporeal membrane oxygenation.

Subgroup analysis

Figure 3 depicts the outcomes of the random effects model and subgroup analysis. There were significant differences in mortality between location groups (Figure 3A; 33.0% vs 55.0% vs 37.0% vs 18.0%, P < 0.001), setting groups (Figure 3B; 28.0% vs 34.0%, P < 0.001), sample size group (Figure 3C; 37.0% vs 31.0%, P < 0.001), and NOS groups (Figure 3D; 39.0% vs 19.0%, P < 0.001). There was no source of heterogeneity in any of the subgroups.
Figure 3

Subgroup forest plot of in-hospital or short-term mortality in patients with coronavirus disease 2019 requiring extracorporeal membrane oxygenation. There were significant differences in mortality between location, study setting, sample size, and Newcastle-Ottawa scale (NOS) score groups. A: Location; B: Study setting; C: Sample size; D: NOS score groups.COVID-19: Coronavirus disease 2019; ECMO: Extracorporeal membrane oxygenation; NOS: Newcastle-Ottawa Scale.

Subgroup forest plot of in-hospital or short-term mortality in patients with coronavirus disease 2019 requiring extracorporeal membrane oxygenation. There were significant differences in mortality between location, study setting, sample size, and Newcastle-Ottawa scale (NOS) score groups. A: Location; B: Study setting; C: Sample size; D: NOS score groups.COVID-19: Coronavirus disease 2019; ECMO: Extracorporeal membrane oxygenation; NOS: Newcastle-Ottawa Scale.

Publication bias and sensitivity analysis

Funnel plots showed no obvious asymmetry. The Egger’s (P = 0.95) and Begg’s tests (P = 0.14) further revealed no significant publication bias. The recalculated pooled results did not change significantly after removing each study sequentially, showing that there was no outlier study that influenced the overall result.

DISCUSSION

ECMO is an essential instrument for treating severe respiratory and heart failure, and it was widely employed in the treatment of critically ill patients during the COVID-19 pandemic. However, previous research found that the impact of ECMO in critically ill COVID-19 patients was controversial due to the high mortality rate. Therefore, we conducted this meta-analysis that included 18 original independent studies to examine the effectiveness of ECMO in the treatment of COVID-19. The mortality rate of COVID-19 patients treated with ECMO in our investigation was 31%, which was lower than the mortality rate of severe COVID-19 patients in the prior study. These data imply that ECMO treatment may decrease the mortality rate of COVID-19 patients who are severely ill. Although some studies reported that the mortality rate of COVID-19 patients treated with ECMO is as high as 53%-83.3%[18-22], which is substantially higher than the results of this study, we believe such high mortality may be due to other reasons rather than the ECMO treatment being ineffective. For example, many previous studies conducted in the early stage of the COVID-19 outbreak used a small sample size with a high proportion of patients having pre-existing comorbidities, which may be an important factor contributing to the high mortality[23]. Additionally, due to a lack of experience in treating COIVD-19 at the beginning of the outbreak, ECMO treatment may have been initiated too late. The secondary infection and other complications may also lead to high mortality. These possible reasons of increased mortality are consistent with prior results obtained by certain researchers who discovered that variables such as advanced age (> 65 years old), gender (male), pre-existing diseases, and acute or chronic organ failure may contribute to a poor prognosis[24-26]. Considering these factors, our findings may provide evidence for the future application of ECOM in treating severe COVID-19 patients. According to the studies with a low mortality rate among patients who received ECMO treatment, we recommend that ECMO should be combined with the use of other therapies, such as antiviral, immunosuppressive, anticoagulant, and supportive therapies, as well as the collaboration of professional multidisciplinary teams and professional nursing[27-29]. Additionally, the timing of ECMO intervention may also be a critical factor affecting the prognosis. Previous studies have confirmed that early ECMO intervention after mechanical ventilation can enhance the survival rate of patients with HINI pneumonia and ARDS[26]. The majority of patients with severe ARDS and severe SARS-CoV-2 pneumonia received delayed treatment and rapidly worsened. Yang et al[21] showed that among COVID-19 patients treated with ECMO, the average time from mechanical ventilation to ECMO in the survival group was shorter than that in the death group. The use of early ECMO may be associated with a better prognosis[18]. Despite the fact that the PaO2/FiO2 ratio is less than 80 mm Hg and the MV treatment has been administered, we believe that ECMO should be initiated as soon as possible. Moreover, research has shown that prolonged ECMO treatment may be associated with an increased risk of death and multiple organ failure[30]. Therefore, both the timing and duration of ECMO treatment are critical to consider when treating critically ill patients with COVID-19. We acknowledge that our study has several limitations. To begin with, the power of the study is limited by the small sample size. Biases in patient selection and indication may have existed due to the small sample size. Additionally, the majority of the included studies were observational with retrospective designs, and more than half of the studies were single-center ones, which may lead to selection and reporting bias. Finally, the survival analyses for mortality were based on a short-term follow-up and varied death observation time, which might have underestimated the reported prevalence of mortality and complications.

CONCLUSION

Despite the fact that ECMO is approved as a rescue treatment for severe COVID-19, its application during the COVID-19 pandemic is currently restricted due to high treatment costs and an unclear usage procedure. Our findings suggested that ECMO might be a feasible and effective treatment for COVID-19 patients with more resource evaluation and risk-benefit analysis. Further research with a large sample size and multi-center designs is needed to examine the effectiveness of ECMO in the treatment of COVID-19 patients.

ARTICLE HIGHLIGHTS

Research background

Patients with moderate to severe coronavirus disease 2019 (COVID-19) infection often have severe acute respiratory distress syndrome, with a poor prognosis, limited treatment options, and high mortality. Extracorporeal membrane oxygenation (ECMO) has been proven to have the advantages of improving symptoms and reducing mortality in previous studies. However, existing studies lack strong evidence and disagreement whether ECMO can reduce the mortality of patients with moderate to severe COVID-19 infection. This article intends to summarize the mortality of COVID-19 patients treated with ECMO in order to evaluate the efficacy of ECMO in COVID-19 patients.

Research motivation

To summarize the mortality and comorbidities of COVID-19 patients treated with ECMO, to evaluate the efficacy and adverse reactions of ECMO inCOVID-19 patients, and to clarify the effectiveness of ECMO treatment, in order to provide a basis for future treatment options for patients with moderate to severe COVID-19.

Research objectives

To evaluate the efficacy and adverse reactions of ECMO inCOVID-19 patients.

Research methods

This research was conducted through the method of meta-analysis. A random effects model was adopted to assess the mortality of COVID-19 patients treated with ECMO.

Research results

The mortality rate of COVID-19 patients treated with ECMO was 31%, which was lower than the mortality rates of severe COVID-19 patients in previous studies, suggesting that ECMO treatment can reduce the mortality rate of severe COVID-19 patients. Previous studies have not yet given clear answers to when ECMO should be used and the duration of ECMO treatment.

Research conclusions

ECMO may be a feasible and effective treatment for COVID-19 patients.

Research perspectives

Prospective, large-sample, multi-center studies are needed to have a more comprehensive understanding of the effectiveness and safety of ECMO treatment.

ACKNOWLEDGEMENTS

We would like to thank all authors of the included primary studies.
  38 in total

1.  Extracorporeal Membrane Oxygenation for Patients With COVID-19 in Severe Respiratory Failure.

Authors:  Asif K Mustafa; Philip J Alexander; Devang J Joshi; Deborah R Tabachnick; Chadrick A Cross; Pat S Pappas; Antone J Tatooles
Journal:  JAMA Surg       Date:  2020-08-11       Impact factor: 14.766

2.  Specific Considerations for Venovenous Extracorporeal Membrane Oxygenation During Coronavirus Disease 2019 Pandemic.

Authors:  Julien Guihaire; Clark G Owyang; Jai Madhok; Florent Laverdure; Maïra Gaillard; Antoine Girault; Guillaume Lebreton; Olaf Mercier
Journal:  ASAIO J       Date:  2020 Nov/Dec       Impact factor: 2.872

3.  Extracorporeal Membrane Oxygenation Retrieval in Coronavirus Disease 2019: A Case-Series of 19 Patients Supported at a High-Volume Extracorporeal Membrane Oxygenation Center.

Authors:  Jordi Riera; Eduard Argudo; María Martínez-Martínez; Sandra García; Marina García-de-Acilu; Manel Santafé; Cándido Díaz; Sofía Contreras; Alexandra Cortina; Camilo Bonilla; Andrés Pacheco; Paula Resta; Neiser Palmer; Miguel Ángel Castro; Ricard Ferrer
Journal:  Crit Care Explor       Date:  2020-09-28

Review 4.  Extracorporeal membrane oxygenation in severe influenza infection with respiratory failure: A systematic review and meta-analysis.

Authors:  Shashvat Sukhal; Jaskaran Sethi; Malini Ganesh; Pedro A Villablanca; Anita K Malhotra; Harish Ramakrishna
Journal:  Ann Card Anaesth       Date:  2017 Jan-Mar

5.  Clinical course and predictors of 60-day mortality in 239 critically ill patients with COVID-19: a multicenter retrospective study from Wuhan, China.

Authors:  Jiqian Xu; Xiaobo Yang; Luyu Yang; Xiaojing Zou; Yaxin Wang; Yongran Wu; Ting Zhou; Yin Yuan; Hong Qi; Shouzhi Fu; Hong Liu; Jia'an Xia; Zhengqin Xu; Yuan Yu; Ruiting Li; Yaqi Ouyang; Rui Wang; Lehao Ren; Yingying Hu; Dan Xu; Xin Zhao; Shiying Yuan; Dingyu Zhang; You Shang
Journal:  Crit Care       Date:  2020-07-06       Impact factor: 9.097

6.  Extracorporeal membrane oxygenation for refractory COVID-19 acute respiratory distress syndrome.

Authors:  C Le Breton; S Besset; S Freita-Ramos; M Amouretti; P A Billiet; M Dao; L M Dumont; L Federici; B Gaborieau; D Longrois; P Postel-Vinay; C Vuillard; N Zucman; G Lebreton; A Combes; D Dreyfuss; J D Ricard; D Roux
Journal:  J Crit Care       Date:  2020-07-16       Impact factor: 3.425

7.  Clinical characteristics of hospitalized patients with SARS-CoV-2 infection: A single arm meta-analysis.

Authors:  Pengfei Sun; Shuyan Qie; Zongjian Liu; Jizhen Ren; Kun Li; Jianing Xi
Journal:  J Med Virol       Date:  2020-03-11       Impact factor: 20.693

8.  Role of extracorporeal membrane oxygenation in critically Ill COVID-19 patients and predictors of mortality.

Authors:  Rashad Zayat; Sebastian Kalverkamp; Oliver Grottke; Koray Durak; Michael Dreher; Rüdiger Autschbach; Gernot Marx; Nikolaus Marx; Jan Spillner; Alex Kersten
Journal:  Artif Organs       Date:  2020-12-28       Impact factor: 2.663

9.  Clinical characteristics and outcomes of critically ill patients with novel coronavirus infectious disease (COVID-19) in China: a retrospective multicenter study.

Authors:  Jianfeng Xie; Wenjuan Wu; Shusheng Li; Yu Hu; Ming Hu; Jinxiu Li; Yi Yang; Tingrong Huang; Kun Zheng; Yishan Wang; Hanyujie Kang; Yingzi Huang; Li Jiang; Wei Zhang; Ming Zhong; Ling Sang; Xia Zheng; Chun Pan; Ruiqiang Zheng; Xuyan Li; Zhaohui Tong; Haibo Qiu; Bin Du
Journal:  Intensive Care Med       Date:  2020-08-20       Impact factor: 17.440

10.  ECMO for ARDS due to COVID-19.

Authors:  Silvio A Ñamendys-Silva
Journal:  Heart Lung       Date:  2020-03-26       Impact factor: 3.149

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