Risk of Severe COVID-19 Increased by Metabolic Dysfunction-associated Fatty Liver Disease

Supplemental Digital Content is available in the text. Background: The prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD) in coronavirus disease-2019 (COVID-19) patients and whether it affects the outcomes of COVID-19 requires investigation. Goals: The aim was to determine the prevalence of MAFLD among COVID-19 patients and its influence on the outcomes of COVID-19 by meta-analysis. Methods: Our study protocol has been registered on PROSPERO (CRD42021242243). The studies published on PubMed, Embase, Cochrane Library, and Web of Science before March 11, 2021 were screened. The Newcastle-Ottawa scale (NOS) and Agency for Healthcare Research and Quality scale were used to assess the quality of the studies. Pooled analysis was conducted using the software RevMan version 5.3 and Stata version 15.0 SE. The stability of the results was assessed by sensitivity analysis. Publication bias was evaluated using funnel plots, Egger test, and trim-and-fill analysis. Results: Seven studies covering 2141 COVID-19 patients were included. It was confirmed that MAFLD increased the risk of severe COVID-19 (odds ratios: 1.80, 95% confidence interval: 1.53-2.13, P<0.00001). No association was found between the presence of MAFLD and the occurrence of COVID-19 death. The pooled prevalence of MAFLD among COVID-19 patients was 36% (95% confidence interval: 0.23-0.49, P<0.00001). Sensitivity analysis confirmed that the initial results were stable. Conclusions: MAFLD can increase the incidence of severe COVID-19, but the correlation between MAFLD and COVID-19 death has not been confirmed. Further investigation is needed to explore the possible mechanism of this association. Since MAFLD is common among patients infected with SARS-CoV-2, more care should be given to COVID-19 patients with underlying MAFLD.

[1]  A. Dhawan,et al.  NAFLD to MAFLD in adults but the saga continues in children: an opportunity to advocate change.: Letter regarding "A new definition for metabolic dysfunction-associated fatty liver disease: An international expert consensus statement". , 2021, Journal of hepatology.

[2]  Fateen Ata,et al.  NAFLD is a predictor of liver injury in COVID-19 hospitalized patients but not of mortality, disease severity on the presentation or progression – The debate continues , 2020, Journal of Hepatology.

[3]  M. Thursz,et al.  In-hospital mortality is associated with inflammatory response in NAFLD patients admitted for COVID-19 , 2020, PloS one.

[4]  Dawei Guo,et al.  Metabolic associated fatty liver disease increases the severity of COVID-19: A meta-analysis , 2020, Digestive and Liver Disease.

[5]  A. Mari,et al.  Nonalcoholic fatty liver disease is associated with COVID-19 severity independently of metabolic syndrome: a retrospective case-control study , 2020, European journal of gastroenterology & hepatology.

[6]  D. Wong,et al.  Impact of chronic liver disease on outcomes of hospitalized patients with COVID‐19: A multicentre United States experience , 2020, Liver international : official journal of the International Association for the Study of the Liver.

[7]  M. Zheng,et al.  Metabolic‐associated fatty liver disease is associated with severity of COVID‐19 , 2020, Liver international : official journal of the International Association for the Study of the Liver.

[8]  Ashish Kumar,et al.  Metabolic dysfunction associated fatty liver disease increases risk of severe Covid-19 , 2020, Diabetes & Metabolic Syndrome: Clinical Research & Reviews.

[9]  J. Rotter,et al.  Predictors of mortality in hospitalized COVID‐19 patients: A systematic review and meta‐analysis , 2020, Journal of medical virology.

[10]  Feng Gao,et al.  Metabolic associated fatty liver disease increases COVID-19 disease severity in non-diabetic patients. , 2020, Journal of gastroenterology and hepatology.

[11]  M. Zheng,et al.  Risk of severe illness from COVID-19 in patients with metabolic dysfunction-associated fatty liver disease and increased fibrosis scores , 2020, Gut.

[12]  Feng Gao,et al.  Obesity Is a Risk Factor for Greater COVID-19 Severity , 2020, Diabetes Care.

[13]  Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (Trial Version 7) , 2020, Chinese Medical Journal.

[14]  M. Zheng,et al.  Younger patients with MAFLD are at increased risk of severe COVID-19 illness: A multicenter preliminary analysis , 2020, Journal of Hepatology.

[15]  M. Zheng,et al.  Obesity as a risk factor for greater severity of COVID-19 in patients with metabolic associated fatty liver disease , 2020, Metabolism.

[16]  Jing Xu,et al.  Non-alcoholic fatty liver diseases in patients with COVID-19: A retrospective study , 2020, Journal of Hepatology.

[17]  A. Schuchat,et al.  COVID-19: towards controlling of a pandemic , 2020, The Lancet.

[18]  J. Xiang,et al.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study , 2020, The Lancet.

[19]  Chao Zhang,et al.  Liver injury in COVID-19: management and challenges , 2020, The Lancet Gastroenterology & Hepatology.

[20]  Tiantian Han,et al.  Coronavirus infections and immune responses , 2020, Journal of medical virology.

[21]  S. Gameiro,et al.  Long-term adjustment to unmet parenthood goals following ART: a systematic review and meta-analysis , 2017, Human reproduction update.

[22]  J. Castillo,et al.  Meta-analysis of the association between cigarette smoking and incidence of Hodgkin's Lymphoma. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[23]  Nicola J Cooper,et al.  Novel methods to deal with publication biases: secondary analysis of antidepressant trials in the FDA trial registry database and related journal publications , 2009, BMJ : British Medical Journal.

[24]  D. Altman,et al.  Measuring inconsistency in meta-analyses , 2003, BMJ : British Medical Journal.

[25]  S Duval,et al.  Trim and Fill: A Simple Funnel‐Plot–Based Method of Testing and Adjusting for Publication Bias in Meta‐Analysis , 2000, Biometrics.

[26]  G. Smith,et al.  Bias in meta-analysis detected by a simple, graphical test , 1997, BMJ.

[27]  N. Laird,et al.  Meta-analysis in clinical trials. , 1986, Controlled clinical trials.