Persistent carbapenem resistance in mechanically ventilated ICU patients: A before-and-after analysis of the COVID-19 surge.

AMR Antibiotic Coronavirus Intensive Care Unit

Journal

American journal of infection control
ISSN: 1527-3296
Titre abrégé: Am J Infect Control
Pays: United States
ID NLM: 8004854

Informations de publication

Date de publication:
19 Oct 2024
Historique:
received: 17 06 2024
revised: 14 10 2024
accepted: 15 10 2024
medline: 22 10 2024
pubmed: 22 10 2024
entrez: 21 10 2024
Statut: aheadofprint

Résumé

How did the antimicrobial resistance profile of critically ill patients evolve before, during, and after COVID-19 surge periods? We retrospectively analysed all critically ill mechanically ventilated adult patients admitted to eight Brazilian hospitals from January 1st, 2018, to April 30th, 2023. We stratified the patients into three periods based on their admission date: pre-surge (Jan 01/2018-Mar 01/2020), surge (Mar 01/2020 - Oct 01/2021), and post-surge (after Oct 01/2021). We compared the proportion of positive cultures, prevalence of pathogens, and resistance rates across periods using the rate ratios (RR) and their 95% confidence intervals (95% CI). We analysed 9,780 ICU patients: 3,718 were in the pre-surge, 3,815 in the surge, and 2,247 in the post-surge period. Patients in the surge period were younger (median: 70 vs. 74 pre-surge vs. 75 post-surge) and presented a higher duration of invasive mechanical ventilation (median 7 vs. 5 days). The utilisation of blood and respiratory cultures increased throughout periods (56.9 pre-surge vs. 69.4 surge vs. 70.4 patients/1,000 patient days post-surge). The isolation of carbapenem-resistant gram-negative bacteria increased during the surge (RR [95% CI]: 1.8 [1.5-2.2], compared to pre-surge), decreased in post-surge (RR [95% CI]: 0.72 [0.6-0.9], and remained higher than pre-surge (RR [95% CI]: 1.3 [1.0-1.6]). Resistance rates for Pseudomonas aeruginosa reduced from 32% in pre- to 23% post-surge, whereas Klebsiella pneumoniae doubled during the surge, 26% to 52%, and remained higher than pre-surge. Carbapenem resistance increased during the surge period. Although it decreased post-surge, it remained higher than the rates observed before the pandemic.

Identifiants

pubmed: 39433156
pii: S0196-6553(24)00801-0
doi: 10.1016/j.ajic.2024.10.014
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Bianca B P Antunes (BBP)

Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil.

Leonardo S L Bastos (LSL)

Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil.

Pedro Kurtz (P)

D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Intensive Care Department, Copa Star Hospital, Rio de Janeiro, RJ, Brazil; Intensive Care Department, Paulo Niemeyer State Brain Institute (IECPN), Rio de Janeiro, RJ, Brazil.

Letícia M Sant'Anna (LM)

Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil.

Pedro F Del Peloso (PF)

D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Richet Laboratory, Rio de Janeiro, Brazil.

Claudia A Espanha (CA)

D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Clínica São Vicente, Rio de Janeiro, RJ, Brazil.

Silvio Hamacher (S)

Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil.

Fernando A Bozza (FA)

D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; National Institute of Infectious Disease Evandro Chagas (INI), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, RJ, Brazil; Comprehensive Health Research Centre (CHRC), NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal. Electronic address: bozza.fernando@gmail.com.

Classifications MeSH