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Exposure to Non-Antimicrobial Drugs and Risk of Infection with Antibiotic-Resistant Enterobacteriaceae.
Elbaz, Meital; Stein, Esther; Raykhshtat, Eli; Weiss-Meilik, Ahuva; Cohen, Regev; Ben-Ami, Ronen.
Afiliação
  • Elbaz M; Department of Infectious Diseases, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel.
  • Stein E; Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.
  • Raykhshtat E; I-Medata AI Center, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel.
  • Weiss-Meilik A; I-Medata AI Center, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel.
  • Cohen R; Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel.
  • Ben-Ami R; I-Medata AI Center, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel.
Antibiotics (Basel) ; 12(4)2023 Apr 20.
Article em En | MEDLINE | ID: mdl-37107151
ABSTRACT
Antimicrobial resistance (AMR) has consistently been linked to antibiotic use. However, the roles of commonly prescribed non-antimicrobial drugs as drivers of AMR may be under-appreciated. Here, we studied a cohort of patients with community-acquired pyelonephritis and assessed the association of exposure to non-antimicrobial drugs at the time of hospital admission with infection with drug-resistant organisms (DRO). Associations identified on bivariate analyses were tested using a treatment effects estimator that models both outcome and treatment probability. Exposure to proton-pump inhibitors, beta-blockers, and antimetabolites was significantly associated with multiple resistance phenotypes. Clopidogrel, selective serotonin reuptake inhibitors, and anti-Xa agents were associated with single-drug resistance phenotypes. Antibiotic exposure and indwelling urinary catheters were covariates associated with AMR. Exposure to non-antimicrobial drugs significantly increased the probability of AMR in patients with no other risk factors for resistance. Non-antimicrobial drugs may affect the risk of infection with DRO through multiple mechanisms. If corroborated using additional datasets, these findings offer novel directions for predicting and mitigating AMR.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article