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A comparison of strategies for identifying patients at risk for carbapenem-resistant or extended ß-lactam-resistant Pseudomonas aeruginosa.
Wangchinda, Walaiporn; Kaye, Keith S; Patel, Twisha S; Albin, Owen R; Saravolatz, Louis; Petrie, Joshua G; Pogue, Jason M.
Afiliação
  • Wangchinda W; Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, USA.
  • Kaye KS; Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  • Patel TS; Department of Medicine, Rutgers University, Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
  • Albin OR; Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI, USA.
  • Saravolatz L; Department of Internal Medicine, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Petrie JG; Department of Internal Medicine, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Pogue JM; Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, WI, USA.
J Antimicrob Chemother ; 79(6): 1337-1345, 2024 Jun 03.
Article em En | MEDLINE | ID: mdl-38581308
ABSTRACT

OBJECTIVES:

To assess risk factors for carbapenem-resistant Pseudomonas aeruginosa (CR) and extended-ß-lactam-resistant P. aeruginosa (EBR) infection/colonization, and to develop and compare tools for predicting isolation of CR and EBR from clinical cultures.

METHODS:

This retrospective study analysed hospitalized patients with positive P. aeruginosa cultures between 2015 and 2021. Two case-control analyses were performed to identify risk factors and develop scoring tools for distinguishing patients with CR versus carbapenem-susceptible (CS) P. aeruginosa and EBR versus CS P. aeruginosa. The performance of institutionally derived scores, externally derived scores and the presence/absence of key risk factors to predict CR and EBR were then compared.

RESULTS:

A total of 2379 patients were included. Of these, 8.3% had a positive culture for CR, 5.0% for EBR and 86.7% for CS P. aeruginosa. There was substantial overlap in risk factors for CR and EBR. Institutional risk scores demonstrated modestly higher area under the ROC curve values than external scores for predicting CR (0.67 versus 0.58) and EBR (0.76 versus 0.70). Assessing the presence/absence of ≥1 of the two strongest predictors (prior carbapenem use or CR isolation within 90 days) was slightly inferior to scoring tools for predicting CR, and comparable for predicting EBR.

CONCLUSIONS:

Clinicians concerned about CR in P. aeruginosa should consider the likelihood of EBR when making treatment decisions. A simple approach of assessing recent history of CR isolation or carbapenem usage performed similarly to more complex scoring tools and offers a more pragmatic way of identifying patients who require coverage for resistant P. aeruginosa.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pseudomonas aeruginosa / Infecções por Pseudomonas / Carbapenêmicos / Resistência beta-Lactâmica / Antibacterianos Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Antimicrob Chemother Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pseudomonas aeruginosa / Infecções por Pseudomonas / Carbapenêmicos / Resistência beta-Lactâmica / Antibacterianos Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Antimicrob Chemother Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos