Effect of hydroxychloroquine with or without azithromycin on the mortality of coronavirus disease 2019 (COVID-19) patients: a systematic review and meta-analysis.


Journal

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
ISSN: 1469-0691
Titre abrégé: Clin Microbiol Infect
Pays: England
ID NLM: 9516420

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 06 07 2020
revised: 10 08 2020
accepted: 15 08 2020
pubmed: 30 8 2020
medline: 1 1 2021
entrez: 30 8 2020
Statut: ppublish

Résumé

Hydroxychloroquine or chloroquine with or without azithromycin have been widely promoted to treat coronavirus disease 2019 (COVID-19) following early in vitro antiviral effects against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The aim of this systematic review and meta-analysis was to assess whether chloroquine or hydroxychloroquine with or without azithromycin decreased COVID-19 mortality compared with the standard of care. PubMed, Web of Science, Embase Cochrane Library, Google Scholar and MedRxiv were searched up to 25 July 2020. We included published and unpublished studies comparing the mortality rate between patients treated with chloroquine or hydroxychloroquine with or without azithromycin and patients managed with standard of care. Patients ≥18 years old with confirmed COVID-19. Chloroquine or hydroxychloroquine with or without azithromycin. Effect sizes were pooled using a random-effects model. Multiple subgroup analyses were conducted to assess drug safety. The initial search yielded 839 articles, of which 29 met our inclusion criteria. All studies except one were conducted on hospitalized patients and evaluated the effects of hydroxychloroquine with or without azithromycin. Among the 29 articles, three were randomized controlled trials, one was a non-randomized trial and 25 were observational studies, including 11 with a critical risk of bias and 14 with a serious or moderate risk of bias. After excluding studies with critical risk of bias, the meta-analysis included 11 932 participants for the hydroxychloroquine group, 8081 for the hydroxychloroquine with azithromycin group and 12 930 for the control group. Hydroxychloroquine was not significantly associated with mortality: pooled relative risk (RR) 0.83 (95% CI 0.65-1.06, n = 17 studies) for all studies and RR = 1.09 (95% CI 0.97-1.24, n = 3 studies) for randomized controlled trials. Hydroxychloroquine with azithromycin was associated with an increased mortality (RR = 1.27; 95% CI 1.04-1.54, n = 7 studies). We found similar results with a Bayesian meta-analysis. Hydroxychloroquine alone was not associated with reduced mortality in hospitalized COVID-19 patients but the combination of hydroxychloroquine and azithromycin significantly increased mortality.

Sections du résumé

BACKGROUND BACKGROUND
Hydroxychloroquine or chloroquine with or without azithromycin have been widely promoted to treat coronavirus disease 2019 (COVID-19) following early in vitro antiviral effects against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
OBJECTIVE OBJECTIVE
The aim of this systematic review and meta-analysis was to assess whether chloroquine or hydroxychloroquine with or without azithromycin decreased COVID-19 mortality compared with the standard of care.
DATA SOURCES METHODS
PubMed, Web of Science, Embase Cochrane Library, Google Scholar and MedRxiv were searched up to 25 July 2020.
STUDY ELIGIBILITY CRITERIA METHODS
We included published and unpublished studies comparing the mortality rate between patients treated with chloroquine or hydroxychloroquine with or without azithromycin and patients managed with standard of care.
PARTICIPANTS METHODS
Patients ≥18 years old with confirmed COVID-19.
INTERVENTIONS METHODS
Chloroquine or hydroxychloroquine with or without azithromycin.
METHODS METHODS
Effect sizes were pooled using a random-effects model. Multiple subgroup analyses were conducted to assess drug safety.
RESULTS RESULTS
The initial search yielded 839 articles, of which 29 met our inclusion criteria. All studies except one were conducted on hospitalized patients and evaluated the effects of hydroxychloroquine with or without azithromycin. Among the 29 articles, three were randomized controlled trials, one was a non-randomized trial and 25 were observational studies, including 11 with a critical risk of bias and 14 with a serious or moderate risk of bias. After excluding studies with critical risk of bias, the meta-analysis included 11 932 participants for the hydroxychloroquine group, 8081 for the hydroxychloroquine with azithromycin group and 12 930 for the control group. Hydroxychloroquine was not significantly associated with mortality: pooled relative risk (RR) 0.83 (95% CI 0.65-1.06, n = 17 studies) for all studies and RR = 1.09 (95% CI 0.97-1.24, n = 3 studies) for randomized controlled trials. Hydroxychloroquine with azithromycin was associated with an increased mortality (RR = 1.27; 95% CI 1.04-1.54, n = 7 studies). We found similar results with a Bayesian meta-analysis.
CONCLUSION CONCLUSIONS
Hydroxychloroquine alone was not associated with reduced mortality in hospitalized COVID-19 patients but the combination of hydroxychloroquine and azithromycin significantly increased mortality.

Identifiants

pubmed: 32860962
pii: S1198-743X(20)30505-X
doi: 10.1016/j.cmi.2020.08.022
pmc: PMC7449662
pii:
doi:

Substances chimiques

Antiviral Agents 0
Hydroxychloroquine 4QWG6N8QKH
Azithromycin 83905-01-5
Chloroquine 886U3H6UFF

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

19-27

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2020 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Références

Control Clin Trials. 1986 Sep;7(3):177-88
pubmed: 3802833
Heart Rhythm. 2020 Sep;17(9):1425-1433
pubmed: 32407884
Int J Infect Dis. 2020 Aug;97:396-403
pubmed: 32623082
JAMA Cardiol. 2020 Sep 1;5(9):1067-1069
pubmed: 32936266
J Virus Erad. 2020 Apr 30;6(2):61-69
pubmed: 32405423
Diabetes Metab Syndr. 2020 Jul - Aug;14(4):589-596
pubmed: 32417708
BMJ. 2019 Aug 28;366:l4898
pubmed: 31462531
JAMA Intern Med. 2020 Nov 1;180(11):1436-1447
pubmed: 32667668
J Gen Intern Med. 2021 Jan;36(1):17-26
pubmed: 32607928
Am J Transplant. 2020 Nov;20(11):3140-3148
pubmed: 32649791
BMJ. 2020 May 14;369:m1849
pubmed: 32409561
Stat Med. 2002 Jun 15;21(11):1539-58
pubmed: 12111919
Medicine (Baltimore). 2020 Dec 24;99(52):e23720
pubmed: 33350752
Am J Transplant. 2020 Jul;20(7):1902-1906
pubmed: 32324331
Cochrane Database Syst Rev. 2007 Apr 18;(2):MR000010
pubmed: 17443631
Ann Intern Med. 2020 Aug 18;173(4):287-296
pubmed: 32459529
Zhejiang Da Xue Xue Bao Yi Xue Ban. 2020 May 25;49(2):215-219
pubmed: 32391667
Clin Infect Dis. 2021 Dec 6;73(11):e4064-e4072
pubmed: 32556143
J Med Virol. 2020 Jul;92(7):776-785
pubmed: 32297988
Aging (Albany NY). 2020 Jun 23;12(12):11306-11313
pubmed: 32576712
Evid Based Ment Health. 2019 Nov;22(4):153-160
pubmed: 31563865
Clin Infect Dis. 2020 Jul 28;71(15):732-739
pubmed: 32150618
Biometrics. 1994 Dec;50(4):1088-101
pubmed: 7786990
Ann Intern Med. 2020 Oct 20;173(8):623-631
pubmed: 32673060
Clin Microbiol Infect. 2020 Aug;26(8):988-998
pubmed: 32454187
JAMA Cardiol. 2020 Sep 01;5(9):1036-1041
pubmed: 32936252
Drugs. 2017 Dec;77(18):1935-1966
pubmed: 29143192
Lancet. 2020 Jun 20;395(10241):1907-1918
pubmed: 32473681
Ann Oncol. 2020 Oct;31(10):1386-1396
pubmed: 32561401
BMJ. 2020 Apr 28;369:m1626
pubmed: 32345591
Cancer Discov. 2020 Oct;10(10):1514-1527
pubmed: 32699031
Travel Med Infect Dis. 2020 Jul - Aug;36:101791
pubmed: 32593867
BMJ. 2020 May 14;369:m1844
pubmed: 32409486
Lancet Infect Dis. 2020 Oct;20(10):1118-1119
pubmed: 32311324
Res Synth Methods. 2010 Apr;1(2):112-25
pubmed: 26061377
Circ Arrhythm Electrophysiol. 2020 Jun;13(6):e008662
pubmed: 32347743
Cell Discov. 2020 Mar 18;6:16
pubmed: 32194981
Clin Transl Oncol. 2020 Dec;22(12):2364-2368
pubmed: 32449128
JAMA. 2020 Jun 23;323(24):2493-2502
pubmed: 32392282
Med. 2020 Dec 18;1(1):114-127.e3
pubmed: 32838355
JAMA Netw Open. 2020 Apr 24;3(4):e208857
pubmed: 32330277
Res Synth Methods. 2021 Jan;12(1):55-61
pubmed: 32336025
BMJ. 2016 Oct 12;355:i4919
pubmed: 27733354
J Antimicrob Chemother. 2020 Sep 1;75(9):2708-2710
pubmed: 32514563
PLoS One. 2020 Aug 13;15(8):e0237693
pubmed: 32790733
Natl Sci Rev. 2020 May 28;7(9):1428-1436
pubmed: 34676087
J R Stat Soc Ser A Stat Soc. 2009 Jan;172(1):137-159
pubmed: 19381330
Microb Pathog. 2020 Aug;145:104228
pubmed: 32344177
J Neuroimmune Pharmacol. 2020 Sep;15(3):349
pubmed: 32607690
J Infect Public Health. 2020 Jul;13(7):906-913
pubmed: 32546437
N Engl J Med. 2020 Jun 18;382(25):2411-2418
pubmed: 32379955
JAMA Intern Med. 2020 Aug 1;180(8):1118-1119
pubmed: 32347894
Nature. 2020 Sep;585(7826):584-587
pubmed: 32698191
Crit Care. 2020 Jul 11;24(1):418
pubmed: 32653015
Kidney Int. 2020 Jul;98(1):20-26
pubmed: 32437768
Clin Kidney J. 2020 Jun 22;13(3):334-339
pubmed: 32695323
N Engl J Med. 2020 Nov 19;383(21):2041-2052
pubmed: 32706953
J Thromb Thrombolysis. 2020 Aug;50(2):298-301
pubmed: 32476080
Sci China Life Sci. 2020 Oct;63(10):1515-1521
pubmed: 32418114
J Clin Epidemiol. 2020 Jul;123:120-126
pubmed: 32330521
Lancet. 2000 Oct 7;356(9237):1228-31
pubmed: 11072941
BMJ. 2020 May 22;369:m1985
pubmed: 32444460
Circulation. 2020 Jul 21;142(3):303-305
pubmed: 32442023
Pharmacol Res Perspect. 2017 Jan 23;5(1):e00293
pubmed: 28596841
Int J Antimicrob Agents. 2020 Jul;56(1):105949
pubmed: 32205204
Nefrologia (Engl Ed). 2020 May - Jun;40(3):272-278
pubmed: 32389518
J Clin Epidemiol. 2011 Apr;64(4):407-15
pubmed: 21247734

Auteurs

Thibault Fiolet (T)

CESP (Centre for Research in Epidemiology and Population Health), Faculté de Médecine-Université Paris-Sud, Faculté de Médecine-UVSQ, INSERM, Université Paris Saclay, Villejuif, France; Gustave Roussy, Villejuif, France. Electronic address: Thibault.fiolet@gustaveroussy.fr.

Anthony Guihur (A)

Department of Plant Molecular Biology, Faculty of Biology and Medicine, University of Lausanne, Switzerland.

Mathieu Edouard Rebeaud (ME)

Department of Plant Molecular Biology, Faculty of Biology and Medicine, University of Lausanne, Switzerland.

Matthieu Mulot (M)

Laboratory of Soil Biodiversity, Faculty of Science, University of Neuchâtel, Switzerland.

Nathan Peiffer-Smadja (N)

Université de Paris, IAME, INSERM, Paris, France; National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College, London, UK; Infectious and Tropical Diseases Department, Bichat-Claude Bernard Hospital, AP-HP, Paris, France.

Yahya Mahamat-Saleh (Y)

CESP (Centre for Research in Epidemiology and Population Health), Faculté de Médecine-Université Paris-Sud, Faculté de Médecine-UVSQ, INSERM, Université Paris Saclay, Villejuif, France; Gustave Roussy, Villejuif, France.

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