Risk phenotypes of diabetes and association with COVID-19 severity and death: a living systematic review and meta-analysis.


Journal

Diabetologia
ISSN: 1432-0428
Titre abrégé: Diabetologia
Pays: Germany
ID NLM: 0006777

Informations de publication

Date de publication:
07 2021
Historique:
received: 09 12 2020
accepted: 17 03 2021
pubmed: 29 4 2021
medline: 17 6 2021
entrez: 28 4 2021
Statut: ppublish

Résumé

Diabetes has been identified as a risk factor for poor prognosis of coronavirus disease-2019 (COVID-19). The aim of this study is to identify high-risk phenotypes of diabetes associated with COVID-19 severity and death. This is the first edition of a living systematic review and meta-analysis on observational studies investigating phenotypes in individuals with diabetes and COVID-19-related death and severity. Four different databases were searched up to 10 October 2020. We used a random effects meta-analysis to calculate summary relative risks (SRR) with 95% CI. The certainty of evidence was evaluated by the GRADE tool. A total of 22 articles, including 17,687 individuals, met our inclusion criteria. For COVID-19-related death among individuals with diabetes and COVID-19, there was high to moderate certainty of evidence for associations (SRR [95% CI]) between male sex (1.28 [1.02, 1.61], n = 10 studies), older age (>65 years: 3.49 [1.82, 6.69], n = 6 studies), pre-existing comorbidities (cardiovascular disease: 1.56 [1.09, 2.24], n = 8 studies; chronic kidney disease: 1.93 [1.28, 2.90], n = 6 studies; chronic obstructive pulmonary disease: 1.40 [1.21, 1.62], n = 5 studies), diabetes treatment (insulin use: 1.75 [1.01, 3.03], n = 5 studies; metformin use: 0.50 [0.28, 0.90], n = 4 studies) and blood glucose at admission (≥11 mmol/l: 8.60 [2.25, 32.83], n = 2 studies). Similar, but generally weaker and less precise associations were observed between risk phenotypes of diabetes and severity of COVID-19. Individuals with a more severe course of diabetes have a poorer prognosis of COVID-19 compared with individuals with a milder course of disease. To further strengthen the evidence, more studies on this topic that account for potential confounders are warranted. PROSPERO registration ID CRD42020193692.

Identifiants

pubmed: 33907860
doi: 10.1007/s00125-021-05458-8
pii: 10.1007/s00125-021-05458-8
pmc: PMC8079163
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1480-1491

Subventions

Organisme : The German Diabetes Center (DDZ) is funded by the German Federal Ministry of Health and the Ministry of Science and Culture of the State North Rhine-Westphalia. This study was supported in part by a grant from the German Federal Ministry of Education and Research to the German Center for Diabetes Research (DZD). The funders had no role in study design or data collection, analysis and interpretation.
ID : NA

Références

World Health Organization (2020) WHO announces COVID-19 outbreak a pandemic. Available from: www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/news/news/2020/3/who-announces-covid-19-outbreak-a-pandemic . Accessed: October 2020
John Hopkins University & Medicine Coronavirus Resource Center (2020) COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). Available from: https://coronavirus.jhu.edu/map.html . Accessed: October 2020
Li X, Guan B, Su T et al (2020) Impact of cardiovascular disease and cardiac injury on in-hospital mortality in patients with COVID-19: a systematic review and meta-analysis. Heart 106(15):1142–1147. https://doi.org/10.1136/heartjnl-2020-317062
doi: 10.1136/heartjnl-2020-317062 pubmed: 32461330
Foldi M, Farkas N, Kiss S et al (2020) Obesity is a risk factor for developing critical condition in COVID-19 patients: a systematic review and meta-analysis. Obes Rev 21(10):e13095
doi: 10.1111/obr.13095 pubmed: 32686331 pmcid: 7404429
Sanchez-Ramirez DC, Mackey D (2020) Underlying respiratory diseases, specifically COPD, and smoking are associated with severe COVID-19 outcomes: a systematic review and meta-analysis. Respir Med 171:106096. https://doi.org/10.1016/j.rmed.2020.106096
doi: 10.1016/j.rmed.2020.106096 pubmed: 32763754 pmcid: 7391124
Nandy K, Salunke A, Pathak SK et al (2020) Coronavirus disease (COVID-19): a systematic review and meta-analysis to evaluate the impact of various comorbidities on serious events. Diabetes Metab Syndr 14(5):1017–1025
doi: 10.1016/j.dsx.2020.06.064 pubmed: 32634716 pmcid: 7331565
Mantovani A, Byrne CD, Zheng MH, Targher G (2020) Diabetes as a risk factor for greater COVID-19 severity and in-hospital death: a meta-analysis of observational studies. Nutr Metab Cardiovasc Dis 30(8):1236–1248. https://doi.org/10.1016/j.numecd.2020.05.014
doi: 10.1016/j.numecd.2020.05.014 pubmed: 32571616 pmcid: 7258796
Huang I, Lim MA, Pranata R (2020) Diabetes mellitus is associated with increased mortality and severity of disease in COVID-19 pneumonia - a systematic review, meta-analysis, and meta-regression. Diabetes Metab Syndr 14(4):395–403
doi: 10.1016/j.dsx.2020.04.018 pubmed: 32334395 pmcid: 7162793
Kumar A, Arora A, Sharma P et al (2020) Is diabetes mellitus associated with mortality and severity of COVID-19? A meta-analysis. Diabetes Metab Syndr 14(4):535–545
doi: 10.1016/j.dsx.2020.04.044 pubmed: 32408118 pmcid: 7200339
Parohan M, Yaghoubi S, Seraji A, Javanbakht MH, Sarraf P, Djalali M (2020) Risk factors for mortality in patients with coronavirus disease 2019 (COVID-19) infection: a systematic review and meta-analysis of observational studies. Aging Male. https://doi.org/10.1080/13685538.2020.1774748
Li J, He X, Yuan Y et al (2021) Meta-analysis investigating the relationship between clinical features, outcomes, and severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia. Am J Infect Control 49(1):82–89. https://doi.org/10.1016/j.ajic.2020.06.008
doi: 10.1016/j.ajic.2020.06.008 pubmed: 32540370
Guo L, Shi Z, Zhang Y et al (2020) Comorbid diabetes and the risk of disease severity or death among 8807 COVID-19 patients in China: a meta-analysis. Diabetes Res Clin Pract 166:108346. https://doi.org/10.1016/j.diabres.2020.108346
doi: 10.1016/j.diabres.2020.108346 pubmed: 32710998 pmcid: 7375287
Zhou Y, Yang Q, Chi J et al (2020) Comorbidities and the risk of severe or fatal outcomes associated with coronavirus disease 2019: a systematic review and meta-analysis. Int J Infect Dis 99:47–56. https://doi.org/10.1016/j.ijid.2020.07.029
doi: 10.1016/j.ijid.2020.07.029 pubmed: 32721533 pmcid: 7381888
Shang L, Shao M, Guo Q et al (2020) Diabetes mellitus is associated with severe infection and mortality in patients with COVID-19: a systematic review and meta-analysis. Arch Med Res 51(7):700–709. https://doi.org/10.1016/j.arcmed.2020.07.005
doi: 10.1016/j.arcmed.2020.07.005 pubmed: 32811670 pmcid: 7413048
Zaharia OP, Strassburger K, Strom A et al (2019) Risk of diabetes-associated diseases in subgroups of patients with recent-onset diabetes: a 5-year follow-up study. Lancet Diabetes Endocrinol 7(9):684–694. https://doi.org/10.1016/S2213-8587(19)30187-1
doi: 10.1016/S2213-8587(19)30187-1 pubmed: 31345776
Cariou B, Hadjadj S, Wargny M et al (2020) Phenotypic characteristics and prognosis of inpatients with COVID-19 and diabetes: the CORONADO study. Diabetologia 63(8):1500–1515. https://doi.org/10.1007/s00125-020-05180-x
doi: 10.1007/s00125-020-05180-x pubmed: 32472191 pmcid: 7256180
Bello-Chavolla OY, Bahena-Lopez JP, Antonio-Villa NE et al (2020) Predicting mortality due to SARS-CoV-2: a mechanistic score relating obesity and diabetes to COVID-19 outcomes in Mexico. J Clin Endocrinol Metab 105(8):dgaa346
doi: 10.1210/clinem/dgaa346 pubmed: 32474598
Liu Z, Bai X, Han X et al (2020) The association of diabetes and the prognosis of COVID-19 patients: a retrospective study. Diabetes Res Clin Pract 169:108386. https://doi.org/10.1016/j.diabres.2020.108386
doi: 10.1016/j.diabres.2020.108386 pubmed: 32853685 pmcid: 7445120
Moher D, Liberati A, Tetzlaff J, Altman DG, Group P (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ 339:b2535. https://doi.org/10.1136/bmj.b2535
doi: 10.1136/bmj.b2535 pubmed: 19622551 pmcid: 2714657
World Health Organization (2020) WHO COVID-19: case definitions: updated in public health surveillance for COVID-19. Available from: https://apps.who.int/iris/handle/10665/337834 . (Accessed: March 2021)
Williamson EJ, Walker AJ, Bhaskaran K et al (2020) Factors associated with COVID-19-related death using OpenSAFELY. Nature 584(7821):430–436. https://doi.org/10.1038/s41586-020-2521-4
doi: 10.1038/s41586-020-2521-4 pubmed: 32640463 pmcid: 7611074
Barron E, Bakhai C, Kar P et al (2020) Associations of type 1 and type 2 diabetes with COVID-19-related mortality in England: a whole-population study. Lancet Diabetes Endocrinol 8(10):813–822. https://doi.org/10.1016/S2213-8587(20)30272-2
doi: 10.1016/S2213-8587(20)30272-2 pubmed: 32798472 pmcid: 7426088
Holman N, Knighton P, Kar P et al (2020) Risk factors for COVID-19-related mortality in people with type 1 and type 2 diabetes in England: a population-based cohort study. Lancet Diabetes Endocrinol 8(10):823–833. https://doi.org/10.1016/S2213-8587(20)30271-0
doi: 10.1016/S2213-8587(20)30271-0 pubmed: 32798471 pmcid: 7426091
Rastad H, Karim H, Ejtahed HS et al (2020) Risk and predictors of in-hospital mortality from COVID-19 in patients with diabetes and cardiovascular disease. Diabetol Metab Syndr 12:57
doi: 10.1186/s13098-020-00565-9 pubmed: 32641974 pmcid: 7338100
Agarwal S, Schechter C, Southern W, Crandall JP, Tomer Y (2020) Preadmission diabetes-specific risk factors for mortality in hospitalized patients with diabetes and coronavirus disease 2019. Diabetes Care 43(10):2339–2344. https://doi.org/10.2337/dc20-1543
doi: 10.2337/dc20-1543 pubmed: 32769128 pmcid: 7510015
Li Y, Han X, Alwalid O et al (2020) Baseline characteristics and risk factors for short-term outcomes in 132 COVID-19 patients with diabetes in Wuhan China: a retrospective study. Diabetes Res Clin Pract 166:108299. https://doi.org/10.1016/j.diabres.2020.108299
doi: 10.1016/j.diabres.2020.108299 pubmed: 32623030 pmcid: 7332424
Shi Q, Zhang X, Jiang F et al (2020) Clinical characteristics and risk factors for mortality of COVID-19 patients with diabetes in Wuhan, China: a two-center, retrospective study. Diabetes Care 43(7):1382–1391. https://doi.org/10.2337/dc20-0598
doi: 10.2337/dc20-0598 pubmed: 32409504
Acharya D, Lee K, Lee DS, Lee YS, Moon SS (2020) Mortality rate and predictors of mortality in hospitalized COVID-19 patients with diabetes. Healthcare 8(3):338. https://doi.org/10.3390/healthcare8030338
doi: 10.3390/healthcare8030338 pubmed: 32933191 pmcid: 7551813
Hayden JA, van der Windt DA, Cartwright JL, Cote P, Bombardier C (2013) Assessing bias in studies of prognostic factors. Ann Intern Med 158(4):280–286. https://doi.org/10.7326/0003-4819-158-4-201302190-00009
doi: 10.7326/0003-4819-158-4-201302190-00009 pubmed: 23420236
Higgins JPT, Green S (2011) Cochrane handbook for systematic reviews of interventions version 5.1.0 [updated March 2011] The Cochrane Collaboration. Available from: www.handbook.cochrane.org . Accessed October 2020
IntHout J, Ioannidis JP, Borm GF (2014) The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method. BMC Med Res Methodol 14:25
doi: 10.1186/1471-2288-14-25 pubmed: 24548571 pmcid: 4015721
Schunemann HJ, Cuello C, Akl EA et al (2019) GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence. J Clin Epidemiol 111:105–114. https://doi.org/10.1016/j.jclinepi.2018.01.012
doi: 10.1016/j.jclinepi.2018.01.012 pubmed: 29432858
Balshem H, Helfand M, Schunemann HJ et al (2011) GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol 64(4):401–406. https://doi.org/10.1016/j.jclinepi.2010.07.015
doi: 10.1016/j.jclinepi.2010.07.015 pubmed: 21208779
Chen Y, Yang D, Cheng B et al (2020) Clinical characteristics and outcomes of patients with diabetes and COVID-19 in association with glucose-lowering medication. Diabetes Care 43(7):1399–1407. https://doi.org/10.2337/dc20-0660
doi: 10.2337/dc20-0660 pubmed: 32409498
Chung SM, Lee YY, Ha E et al (2020) The risk of diabetes on clinical outcomes in patients with coronavirus disease 2019: a retrospective cohort study. Diabetes Metab J 44(3):405–413. https://doi.org/10.4093/dmj.2020.0105
doi: 10.4093/dmj.2020.0105 pubmed: 32602272 pmcid: 7332325
Crouse A, Grimes T, Li P, Might M, Ovalle F, Shalev A (2021) Metformin use is associated with reduced mortality in a diverse population with Covid-19 and diabetes. Front Endocrinol 11:600439
doi: 10.3389/fendo.2020.600439
Dalan R, Ang LW, Tan WYT et al (2020) The association of hypertension and diabetes pharmacotherapy with COVID-19 severity and immune signatures: an observational study. Eur Heart J Cardiovasc Pharmacother. https://doi.org/10.1093/ehjcvp/pvaa098
de Abajo FJ, Rodriguez-Martin S, Lerma V et al (2020) Use of renin-angiotensin-aldosterone system inhibitors and risk of COVID-19 requiring admission to hospital: a case-population study. Lancet 395(10238):1705–1714. https://doi.org/10.1016/S0140-6736(20)31030-8
doi: 10.1016/S0140-6736(20)31030-8 pubmed: 32416785 pmcid: 7255214
Luo P, Qiu L, Liu Y et al (2020) Metformin treatment was associated with decreased mortality in COVID-19 patients with diabetes in a retrospective analysis. Am J Trop Med Hyg 103(1):69–72. https://doi.org/10.4269/ajtmh.20-0375
doi: 10.4269/ajtmh.20-0375 pubmed: 32446312 pmcid: 7356425
Merzon E, Green I, Shpigelman M et al (2020) Haemoglobin A1c is a predictor of COVID-19 severity in patients with diabetes. Diabetes Metab Res Rev e3398. https://doi.org/10.1002/dmrr.3398
Rhee S, Lee J, Nam H, Kyoung D, Kim D (2021) Effects of a DPP-4 inhibitor and RAS blockade on clinical outcomes of patients with diabetes and COVID-19. Diabetes Metab J 45:251–259
Seiglie J, Platt J, Cromer SJ et al (2020) Diabetes as a risk factor for poor early outcomes in patients hospitalized with COVID-19. Diabetes Care. https://doi.org/10.2337/dc20-1506
Shah P, Owens J, Franklin J, Jani Y, Kumar A, Doshi R (2020) Baseline use of angiotensin-converting enzyme inhibitor/AT1 blocker and outcomes in hospitalized coronavirus disease 2019 African-American patients. J Hypertens 38:2537–2541
Shang J, Wang Q, Zhang H et al (2020) The relationship between diabetes mellitus and COVID-19 prognosis: a retrospective cohort study in Wuhan, China. Am J Med 134(1):E6–E14
doi: 10.1016/j.amjmed.2020.05.033 pubmed: 32653423 pmcid: 7350644
Solerte SB, D'Addio F, Trevisan R et al (2020) Sitagliptin treatment at the time of hospitalization was associated with reduced mortality in patients with type 2 diabetes and COVID-19: a multicenter, case-control, retrospective, observational study. Diabetes Care 43(12):2999–3006. https://doi.org/10.2337/dc20-1521
doi: 10.2337/dc20-1521 pubmed: 32994187 pmcid: 7770266
Xu Z, Wang Z, Wang S et al (2020) The impact of type 2 diabetes and its management on the prognosis of patients with severe COVID-19. J Diabetes. https://doi.org/10.1111/1753-0407.13084
Zhu L, She ZG, Cheng X et al (2020) Association of blood glucose control and outcomes in patients with COVID-19 and pre-existing type 2 diabetes. Cell Metab 31(6):1068–1077. https://doi.org/10.1016/j.cmet.2020.04.021
doi: 10.1016/j.cmet.2020.04.021 pubmed: 32369736 pmcid: 7252168
Malik P, Patel U, Mehta D et al (2020) Biomarkers and outcomes of COVID-19 hospitalisations: systematic review and meta-analysis. BMJ Evid Based Med. https://doi.org/10.1136/bmjebm-2020-111536
Wang S, Ma P, Zhang S et al (2020) Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: a multi-centre retrospective study. Diabetologia 63(10):2102–2111. https://doi.org/10.1007/s00125-020-05209-1
doi: 10.1007/s00125-020-05209-1 pubmed: 32647915 pmcid: 7347402
McGurnaghan SJ, Weir A, Bishop J et al (2021) Risks of and risk factors for COVID-19 disease in people with diabetes: a cohort study of the total population of Scotland. Lancet Diabetes Endocrinol 9(2):82–93. https://doi.org/10.1016/S2213-8587(20)30405-8
doi: 10.1016/S2213-8587(20)30405-8 pubmed: 33357491

Auteurs

Sabrina Schlesinger (S)

Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany. sabrina.schlesinger@ddz.de.
German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany. sabrina.schlesinger@ddz.de.

Manuela Neuenschwander (M)

Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany.

Alexander Lang (A)

Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Kalliopi Pafili (K)

German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany.
Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Oliver Kuss (O)

Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany.
Centre for Health and Society, Faculty of Medicine, Heinrich Heine University, Düsseldorf, Germany.

Christian Herder (C)

German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany.
Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Department of Endocrinology and Diabetology, Medical Faculty and University Hospital, Heinrich-Heine University, Düsseldorf, Germany.

Michael Roden (M)

German Center for Diabetes Research (DZD), Partner Düsseldorf, Düsseldorf, Germany.
Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Department of Endocrinology and Diabetology, Medical Faculty and University Hospital, Heinrich-Heine University, Düsseldorf, Germany.

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