Antimicrobial resistance in patients with COVID-19: a systematic review and meta-analysis.


Journal

The Lancet. Microbe
ISSN: 2666-5247
Titre abrégé: Lancet Microbe
Pays: England
ID NLM: 101769019

Informations de publication

Date de publication:
03 2023
Historique:
received: 30 04 2022
revised: 08 10 2022
accepted: 24 11 2022
pubmed: 4 2 2023
medline: 8 3 2023
entrez: 3 2 2023
Statut: ppublish

Résumé

Frequent use of antibiotics in patients with COVID-19 threatens to exacerbate antimicrobial resistance. We aimed to establish the prevalence and predictors of bacterial infections and antimicrobial resistance in patients with COVID-19. We did a systematic review and meta-analysis of studies of bacterial co-infections (identified within ≤48 h of presentation) and secondary infections (>48 h after presentation) in outpatients or hospitalised patients with COVID-19. We searched the WHO COVID-19 Research Database to identify cohort studies, case series, case-control trials, and randomised controlled trials with populations of at least 50 patients published in any language between Jan 1, 2019, and Dec 1, 2021. Reviews, editorials, letters, pre-prints, and conference proceedings were excluded, as were studies in which bacterial infection was not microbiologically confirmed (or confirmed via nasopharyngeal swab only). We screened titles and abstracts of papers identified by our search, and then assessed the full text of potentially relevant articles. We reported the pooled prevalence of bacterial infections and antimicrobial resistance by doing a random-effects meta-analysis and meta-regression. Our primary outcomes were the prevalence of bacterial co-infection and secondary infection, and the prevalence of antibiotic-resistant pathogens among patients with laboratory-confirmed COVID-19 and bacterial infections. The study protocol was registered with PROSPERO (CRD42021297344). We included 148 studies of 362  976 patients, which were done between December, 2019, and May, 2021. The prevalence of bacterial co-infection was 5·3% (95% CI 3·8-7·4), whereas the prevalence of secondary bacterial infection was 18·4% (14·0-23·7). 42 (28%) studies included comprehensive data for the prevalence of antimicrobial resistance among bacterial infections. Among people with bacterial infections, the proportion of infections that were resistant to antimicrobials was 60·8% (95% CI 38·6-79·3), and the proportion of isolates that were resistant was 37·5% (26·9-49·5). Heterogeneity in the reported prevalence of antimicrobial resistance in organisms was substantial (I Although infrequently assessed, antimicrobial resistance is highly prevalent in patients with COVID-19 and bacterial infections. Future research and surveillance assessing the effect of COVID-19 on antimicrobial resistance at the patient and population level are urgently needed. WHO.

Sections du résumé

BACKGROUND
Frequent use of antibiotics in patients with COVID-19 threatens to exacerbate antimicrobial resistance. We aimed to establish the prevalence and predictors of bacterial infections and antimicrobial resistance in patients with COVID-19.
METHODS
We did a systematic review and meta-analysis of studies of bacterial co-infections (identified within ≤48 h of presentation) and secondary infections (>48 h after presentation) in outpatients or hospitalised patients with COVID-19. We searched the WHO COVID-19 Research Database to identify cohort studies, case series, case-control trials, and randomised controlled trials with populations of at least 50 patients published in any language between Jan 1, 2019, and Dec 1, 2021. Reviews, editorials, letters, pre-prints, and conference proceedings were excluded, as were studies in which bacterial infection was not microbiologically confirmed (or confirmed via nasopharyngeal swab only). We screened titles and abstracts of papers identified by our search, and then assessed the full text of potentially relevant articles. We reported the pooled prevalence of bacterial infections and antimicrobial resistance by doing a random-effects meta-analysis and meta-regression. Our primary outcomes were the prevalence of bacterial co-infection and secondary infection, and the prevalence of antibiotic-resistant pathogens among patients with laboratory-confirmed COVID-19 and bacterial infections. The study protocol was registered with PROSPERO (CRD42021297344).
FINDINGS
We included 148 studies of 362  976 patients, which were done between December, 2019, and May, 2021. The prevalence of bacterial co-infection was 5·3% (95% CI 3·8-7·4), whereas the prevalence of secondary bacterial infection was 18·4% (14·0-23·7). 42 (28%) studies included comprehensive data for the prevalence of antimicrobial resistance among bacterial infections. Among people with bacterial infections, the proportion of infections that were resistant to antimicrobials was 60·8% (95% CI 38·6-79·3), and the proportion of isolates that were resistant was 37·5% (26·9-49·5). Heterogeneity in the reported prevalence of antimicrobial resistance in organisms was substantial (I
INTERPRETATION
Although infrequently assessed, antimicrobial resistance is highly prevalent in patients with COVID-19 and bacterial infections. Future research and surveillance assessing the effect of COVID-19 on antimicrobial resistance at the patient and population level are urgently needed.
FUNDING
WHO.

Identifiants

pubmed: 36736332
pii: S2666-5247(22)00355-X
doi: 10.1016/S2666-5247(22)00355-X
pmc: PMC9889096
pii:
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e179-e191

Subventions

Organisme : World Health Organization
ID : 001
Pays : International

Informations de copyright

Copyright © 2023 Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests We declare no competing interests.

Auteurs

Bradley J Langford (BJ)

Public Health Ontario, Toronto, ON, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada. Electronic address: bradley.langford@oahpp.ca.

Miranda So (M)

Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada; University Health Network, Toronto, ON, Canada.

Marina Simeonova (M)

Sunnybrook Health Sciences Centre, Toronto, ON, Canada.

Valerie Leung (V)

Public Health Ontario, Toronto, ON, Canada; Toronto East Health Network, Toronto, ON, Canada.

Jennifer Lo (J)

Sunnybrook Health Sciences Centre, Toronto, ON, Canada.

Tiffany Kan (T)

North York General Hospital, Toronto, ON, Canada.

Sumit Raybardhan (S)

North York General Hospital, Toronto, ON, Canada.

Mia E Sapin (ME)

School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.

Kwadwo Mponponsuo (K)

University of Calgary, Calgary, AB, Canada; Alberta Health Services, Calgary, AB, Canada.

Ashley Farrell (A)

University Health Network, Toronto, ON, Canada.

Elizabeth Leung (E)

Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada; Unity Health Toronto, Toronto, ON, UK.

Jean-Paul R Soucy (JR)

Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Alessandro Cassini (A)

Antimicrobial Resistance Division, WHO, Geneva, Switzerland.

Derek MacFadden (D)

School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada; Ottawa Hospital, Ottawa, ON, Canada.

Nick Daneman (N)

Public Health Ontario, Toronto, ON, Canada; Sunnybrook Health Sciences Centre, Toronto, ON, Canada.

Silvia Bertagnolio (S)

Antimicrobial Resistance Division, WHO, Geneva, Switzerland.

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Classifications MeSH