Horm Metab Res 2021; 53(02): 85-93
DOI: 10.1055/a-1326-2125
Review

Obesity is Associated with Poor Covid-19 Outcomes: A Systematic Review and Meta-Analysis

Caroline Wei Shan Hoong
1   Department of Endocrinology, Woodlands Health Campus Singapore, Singapore
,
Ikram Hussain*
2   Department of Gastroenterology, Woodlands Health Campus Singapore, Singapore
,
Veeraraghavan Meyyur Aravamudan
3   Department of Medicine, Woodlands Health Campus Singapore, Singapore
,
Ei Ei Phyu
4   Department of Geriatric Medicine, William Harvey Hospital, Ashford, Kent, UK
,
Jaime Hui Xian Lin*
1   Department of Endocrinology, Woodlands Health Campus Singapore, Singapore
,
Huilin Koh*
1   Department of Endocrinology, Woodlands Health Campus Singapore, Singapore
› Author Affiliations

Abstract

Our aim was to assess the association between obesity and the risk of unfavourable outcomes (composite of severe disease and mortality) in inpatients with COVID-19. We conducted a systematic search of databases between December 2019 and 28th June 2020. Studies were included if they reported or allowed estimation of an odds ratio (OR) for unfavourable outcome in obese compared to non-obese patients hospitalised for COVID-19. Twenty cohort studies of 28 355 hospitalised patients with COVID-19 infection were included. Meta-analysis estimated a pooled OR of 2.02 (1.41–2.89, p<0.001) for an unfavourable outcome in obese versus non-obese patients when adjusted for age, sex and co-morbidities. When unadjusted for confounders, the OR for unfavourable outcomes was 1.25 (CI 1.07–1.45, p=0.005). An increased adjusted OR was also seen for death (OR 1.51; CI 1.13–2.21, p=0.006) and severe illness (OR 2.26; CI 1.47–3.48, p<0.001). Compared to a normal BMI, the risk of an unfavourable outcome was increased even in overweight patients, with severe obesity having an escalated risk.

Obesity is independently associated with an unfavourable outcome of COVID-19 illness, with obese patients having twice the risk of a composite outcome of severe disease or mortality, and a 50% increased risk of death.

* Joint first and last authors.


Supplementary Material



Publication History

Received: 10 July 2020

Accepted: 22 November 2020

Article published online:
04 January 2021

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 World Health Organization. Statement on the second meeting of the International Health Regulations (2005) Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV); https://www.who.int/news-room/detail/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov) (Assessed 7 Jul 2020)
  • 2 Worldometer. Coronavirus Update (Live): 11 603 648 Cases and 537 707 Deaths from COVID-19 Virus Pandemic; https://www.worldometers.info/coronavirus/ (Assessed 7 Jul 2020)
  • 3 Huang C, Wang Y, Li X. et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395: 497-506
  • 4 Wang D, Hu B, Hu C. et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. JAMA 2020; 323: 1061-1069
  • 5 Deng Y, Liu W, Liu K. et al. Clinical characteristics of fatal and recovered cases of coronavirus disease 2019 in Wuhan, China: A retrospective study. Chin Med J 2020; 133: 1261-1267
  • 6 Chen N, Zhou M, Dong X. et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: A descriptive study. Lancet 2020; 395: 507-513
  • 7 World Health Organisation COVID-19 High risk groups. https://www.who.int/westernpacific/emergencies/covid-19/information/high-risk-groups (Assessed 7 Jul 2020)
  • 8 Centers for Disease Control and Prevention Coronavirus Disease 2019 (COVID-19): People of any age with underlying medical conditions. https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html (Assessed 7 Jul 2020)
  • 9 NHS Digital Coronavirus (COVID-19): Shielded patients list. https://digital.nhs.uk/coronavirus/shielded-patient-list (Assessed 7 Jul 2020)
  • 10 Ministry of Health Singapore Advisory on vulnerable group. https://www.moh.gov.sg/docs/librariesprovider5/advisories/advisory-on-vulnerable-group-(moh).pdf (Assessed 7 Jul 2020)
  • 11 Cai Q, Chen F, Wang T. et al. Obesity and COVID-19 severity in a designated hospital in Shenzhen, China. Diabetes Care 2020; 43: 1392-1398
  • 12 Busetto L, Bettini S, Fabris R. et al. Obesity and COVID-19: An Italian snapshot. Obesity (Silver Spring) 2020; 28: 1600-1605
  • 13 Lighter J, Phillips M, Hochman S. et al. Obesity in patients younger than 60 years is a risk factor for Covid-19 hospital admission. Clin Infect Dis 2020; 71: 896-897
  • 14 Hajifathalian K, Kumar S, Newberry C. et al. Obesity is associated with worse outcomes in COVID-19: Analysis of Early Data From New York City. Obesity (Silver Spring) 2020; 28: 1606-1612
  • 15 Segaloff HE, Evans R, Arshad S. et al. The impact of obesity and timely antiviral administration on severe influenza outcomes among hospitalized adults. J Med Virol 2018; 90: 212-218
  • 16 Myles PR, Semple MG, Lim WS. et al. Predictors of clinical outcome in a national hospitalised cohort across both waves of the influenza A/H1N1 pandemic 2009-2010 in the UK. Thorax 2012; 67: 709-717
  • 17 Riquelme R, Jiménez P, Videla AJ. et al. Predicting mortality in hospitalized patients with 2009 H1N1 influenza pneumonia. Int J Tuberc Lung Dis 2011; 15: 542-546
  • 18 Morgan OW, Bramley A, Fowlkes A. et al. Morbid obesity as a risk factor for hospitalization and death due to 2009 pandemic influenza A(H1N1) disease. PLoS One 2010; 5: e9694
  • 19 Bassetti M, Parisini A, Calzi A. et al. Risk factors for severe complications of the novel influenza A (H1N1): Analysis of patients hospitalized in Italy. Clin Microbiol Infect 2011; 17: 247-250
  • 20 Mertz D, Kim TH, Johnstone J. et al. Populations at risk for severe or complicated influenza illness: Systematic review and meta-analysis. BMJ 2013; 347: f5061
  • 21 Higgins JPT, Thomas J, Cumpston M. et al. Cochrane Handbook for Systematic Reviews of Interventions. second edition. Chichester (UK): John Wiley & Sons; 2019
  • 22 Moher D, Liberati A, Tetzlaff J. et al. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Ann Intern Med 2009; 151: 264-269
  • 23 Stroup DF, Berlin JA, Morton SC. et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000; 283: 2008-2012
  • 24 Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol 2010; 25: 603-605
  • 25 World Health Organization Clinical management of COVID-19. https://www.who.int/publications-detail-redirect/clinical-management-of-covid-19 (Assessed 7 Jul 2020)
  • 26 Fan E, Del Sorbo L, Goligher EC. et al. An Official American Thoracic Society/European Society of Intensive Care Medicine/Society of Critical Care Medicine Clinical Practice Guideline: Mechanical Ventilation in Adult Patients with Acute Respiratory Distress Syndrome. Am J Respir Crit Care Med 2017; 195: 1253-1263
  • 27 National Health Commission Guidelines for the Diagnosis and Treatment of Novel Coronavirus (2019-nCoV) Infection by the National Health Commission (Trial Version 5). http://www.nhc.gov.cn/yzygj/s7653p/202002/3b09b894ac9b4204a79db5b8912d4440.shtml (Assessed 7 Jul 2020)
  • 28 Riley RD, Higgins JPT, Deeks JJ. Interpretation of random effects meta-analyses. BMJ 2011; 342: d549
  • 29 DerSimonian R, Laird N. Meta-analysis in clinical trials revisited. Contemp Clin Trials 2015; 45: 139-145
  • 30 Higgins JPT, Thompson SG, Deeks JJ. et al. Measuring inconsistency in meta-analyses. BMJ 2003; 327: 557-560
  • 31 Sterne JAC, Sutton AJ, Ioannidis JPA. et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ 2011; 343: d4002
  • 32 Easterbrook PJ, Gopalan R, Berlin JA. et al. Publication bias in clinical research. Lancet 1991; 337: 867-872
  • 33 Duval S, Tweedie R. Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics 2000; 56: 455-463
  • 34 Rosenthal R. The file drawer problem and tolerance for null results. Psychol Bull 1979; 638-641
  • 35 Docherty AB, Harrison EM, Green CA. et al. Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study. BMJ 2020; 369: m1985
  • 36 Giacomelli A, Ridolfo AL, Milazzo L. et al. 30-day mortality in patients hospitalized with COVID-19 during the first wave of the Italian epidemic: A prospective cohort study. Pharmacol Res 2020; 158: 104931
  • 37 Petrilli CM, Jones SA, Yang J. et al. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. BMJ 2020; 369: m1966
  • 38 Klang E, Kassim G, Soffer S. et al. Morbid obesity as an independent risk factor for COVID-19 mortality in hospitalized patients younger than 50. Obesity (Silver Spring) 2020; 28: 1595-1599
  • 39 Buckner FS, McCulloch DJ, Atluri V. et al. Clinical features and outcomes of 105 hospitalized patients with COVID-19 in Seattle, Washington. Clin Infect Dis 2020; 71: 2167-2173
  • 40 Hur K, Price CPE, Gray EL. et al. Factors associated with intubation and prolonged intubation in hospitalized patients with COVID-19. Otolaryngol Head Neck Surg 2020; 163: 170-178
  • 41 Hu L, Chen S, Fu Y. et al. Risk factors associated with clinical outcomes in 323 COVID-19 hospitalized patients in Wuhan, China. Clin Infect Dis 2020; 19: 71 2089-2098
  • 42 Dreher M, Kersten A, Bickenbach J. et al. The Characteristics of 50 Hospitalized COVID-19 patients with and without ARDS. Dtsch Arztebl Int 2020; 117: 271-278
  • 43 Kalligeros M, Shehadeh F, Mylona EK. et al. Association of obesity with disease severity among patients with COVID-19. Obesity (Silver Spring) 2020; 28: 1200-1204
  • 44 Argenziano MG, Bruce SL, Slater CL. et al. Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series. BMJ 2020; 369: m1996
  • 45 Mani VR, Kalabin A, Valdivieso SC. et al. At the epicenter of the American Coronavirus outbreak - New York inner city hospital COVID-19 experience and current data: A retrospective analysis. J Med Internet Res 2020; 22: e20548
  • 46 Moriconi D, Masi S, Rebelos E. et al. Obesity prolongs the hospital stay in patients affected by COVID-19, and may impact on SARS-COV-2 shedding. Obes Res Clin Pract 2020; 14: 205-209
  • 47 Ortiz-Brizuela E, Villanueva-Reza M, González-Lara MF. et al. Clinical and epidemiological characteristics of patients diagnosed with covid-19 in a tertiary care center in Mexico City: A prospective cohort study. Rev Invest Clin 2020; 72: 165-177
  • 48 Pettit NN, MacKenzie EL, Ridgway J. et al. Obesity is associated with increased risk for mortality among hospitalized patients with COVID-19. Obesity (Silver Spring) 2020; 28: 1806-1810
  • 49 Suleyman G, Fadel RA, Malette KM. et al. Clinical characteristics and morbidity associated with coronavirus disease 2019 in a series of patients in Metropolitan Detroit. JAMA Netw Open 2020; 3: e2012270
  • 50 Sakr Y, Madl C, Filipescu D. et al. Obesity is associated with increased morbidity but not mortality in critically ill patients. Intensive Care Med 2008; 34: 1999
  • 51 Fezeu L, Julia C, Henegar A. et al. Obesity is associated with higher risk of intensive care unit admission and death in influenza A (H1N1) patients: a systematic review and meta-analysis. Obes Rev 2011; 12: 653-659
  • 52 Mancuso P. Obesity and respiratory infections: does excess adiposity weigh down host defense?. Pulm Pharmacol Ther 2013; 26: 412-419
  • 53 Saltiel AR, Olefsky JM. Inflammatory mechanisms linking obesity and metabolic disease. J Clin Invest 2017; 127: 1-4
  • 54 Mafort TT, Rufino R, Costa CH. et al. Obesity: systemic and pulmonary complications, biochemical abnormalities, and impairment of lung function. Multidiscip Respir Med 2016; 11: 28
  • 55 Forno E, Han Y-Y, Mullen J. et al. Overweight, obesity, and lung function in children and adults – a meta-analysis. J Allergy Clin Immunol Pract 2018; 6: 570-581.e10
  • 56 Riaz H, Khan MS, Siddiqi TJ. et al. Association between obesity and cardiovascular outcomes: A systematic review and meta-analysis of Mendelian Randomization Studies. JAMA Netw Open 2018; 1: e183788
  • 57 Zoppini G, Fedeli U, Schievano E. et al. Mortality from infectious diseases in diabetes. Nutr Metab Cardiovasc Dis 2018; 28: 444-450
  • 58 Uretsky S, Messerli FH, Bangalore S. et al. Obesity paradox in patients with hypertension and coronary artery disease. Am J Med 2007; 120: 863-870
  • 59 Kalantar-Zadeh K, Rhee CM, Chou J. et al. The obesity paradox in kidney disease: How to reconcile it with obesity management. Kidney Int Rep 2017; 2: 271-281