Risk factors for polymyxin-resistant carbapenemase-producing Enterobacteriaceae in critically ill patients: An epidemiological and clinical study.


Journal

International journal of antimicrobial agents
ISSN: 1872-7913
Titre abrégé: Int J Antimicrob Agents
Pays: Netherlands
ID NLM: 9111860

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 28 06 2019
revised: 19 10 2019
accepted: 28 12 2019
pubmed: 11 1 2020
medline: 26 3 2020
entrez: 11 1 2020
Statut: ppublish

Résumé

This study aimed to assess the clinical impact and potential risk factors associated with polymyxin-resistant Enterobacteriaceae strains isolated from patients hospitalized in adult and neonatal intensive care units. A case-control study was conducted from September 2015 to January 2017. Antimicrobial susceptibility of polymyxin-resistant Enterobacteriaceae strains was determined by broth microdilution. The presence of resistance genes was evaluated by polymerase chain reaction and DNA sequencing. Renal failure [P=0.02, odds ratio (OR) 11.37, 95% confidence interval (CI) 1.0-128.63], use of a urinary catheter (P<0.01, OR 4.16, 95% CI 38.82-366.07), transfer between hospital units (P=0.03, OR 9.98, 95% CI 1.01-98.42), carbapenem use (P<0.01, OR 45.49, 95% CI 6.93-298.62) and surgical procedure (P<0.01, OR 16.52, 95% CI 2.83-96.32) were found to be risk factors for the acquisition of polymyxin-resistant strains in adult patients. For neonatal patients, use of a central venous catheter (P<0.01, OR 69.59, 95% CI 7.33-660.30) was the only risk factor associated with the acquisition of polymyxin-resistant strains. Analysis of the outcomes revealed that the mortality rate was significantly higher in adult (66.6%) and neonatal (23.5%) patients with polymyxin-resistant strains than in those with polymyxin-susceptible strains. In addition, carbapenem exposure (P<0.01, OR 50.93, 95% CI 2.26->999.999) was strongly associated with mortality. On the other hand, aminoglycoside use (P<0.03, OR 0.06, 95% CI 0.004-0.97) was a protective factor against mortality from polymyxin-resistant strains. Several risk factors were associated with polymyxin-resistant strains. The high mortality rates showed that acquisition of these strains is a predictor for unfavourable outcomes. Combination treatment with an aminoglycoside and polymyxin might be a better combination to improve patient outcomes.

Identifiants

pubmed: 31923570
pii: S0924-8579(20)30021-2
doi: 10.1016/j.ijantimicag.2020.105882
pii:
doi:

Substances chimiques

Aminoglycosides 0
Anti-Bacterial Agents 0
Carbapenems 0
Polymyxins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105882

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Kesia Esther da Silva (KE)

Laboratório de Pesquisa em Ciências da Saúde, Universidade Federal da Grande Dourados, Dourados, Mato Grosso do Sul, Brazil.

Stephen Baker (S)

Oxford University Clinical Research Unit, The Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, Oxford University, Oxford, UK; Department of Medicine, Cambridge University, Cambridge, UK.

Julio Croda (J)

Laboratório de Pesquisa em Ciências da Saúde, Universidade Federal da Grande Dourados, Dourados, Mato Grosso do Sul, Brazil; Fundação Osvaldo Cruz, Campo Grande, Mato Grosso do Sul, Brazil; Universidade Federal do Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil.

To Nguyen Thi Nguyen (TNT)

Oxford University Clinical Research Unit, The Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam.

Christine J Boinett (CJ)

Oxford University Clinical Research Unit, The Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Ho Chi Minh City, Vietnam; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, Oxford University, Oxford, UK.

Leticia Spanivello Barbosa (LS)

Laboratório de Pesquisa em Ciências da Saúde, Universidade Federal da Grande Dourados, Dourados, Mato Grosso do Sul, Brazil.

Andyane Tetila (A)

Hospital Universitário de Dourados, Universidade Federal da Grande Dourados, Dourados, Mato Grosso do Sul, Brazil.

Simone Simionatto (S)

Laboratório de Pesquisa em Ciências da Saúde, Universidade Federal da Grande Dourados, Dourados, Mato Grosso do Sul, Brazil. Electronic address: simonesimionatto@ufgd.edu.br.

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Classifications MeSH