The potential impact of discrepancies between automated susceptibility platforms and other testing metho`dologies for cefazolin in the treatment of Enterobacterales bloodstream infections.


Journal

Diagnostic microbiology and infectious disease
ISSN: 1879-0070
Titre abrégé: Diagn Microbiol Infect Dis
Pays: United States
ID NLM: 8305899

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 24 11 2020
revised: 29 04 2021
accepted: 02 07 2021
pubmed: 3 8 2021
medline: 18 12 2021
entrez: 2 8 2021
Statut: ppublish

Résumé

Revised breakpoints for cefazolin (CFZ) against Enterobacterales may be difficult to implement with current automated susceptibility testing platforms and could falsely report organisms as susceptible, leading to inappropriate treatment for bloodstream infections (BSI). This was a retrospective cohort of adult patients with Enterobacterales BSI reported CFZ susceptible per Vitek®2. The primary outcome was the percentage susceptible by minimum inhibitory concentration (MIC) Gradient Test Strips and disk diffusion. Secondary outcomes included clinical outcomes between CFZ and non-CFZ-treated patients. Among 195 isolates reported CFZ-susceptible per Vitek®2, 84 (43.1%) were CFZ susceptible by MIC Gradient Test Strips vs 119 (61%) by disk diffusion. No difference was noted in 30-day all-cause mortality, secondary complications, or 30-day readmissions. Treatment failure was less likely to occur with source control (adjusted OR 0.06) and infectious disease consult (adjusted OR 0.37). There was a large degree of discrepancy between automated testing and manual methods; the clinical impact of this discrepancy warrants further investigation.

Identifiants

pubmed: 34339950
pii: S0732-8893(21)00176-0
doi: 10.1016/j.diagmicrobio.2021.115483
pii:
doi:

Substances chimiques

Anti-Bacterial Agents 0
Cefazolin IHS69L0Y4T

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

115483

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Mandee Noval (M)

Department of Pharmacy, University of Maryland Medical Center, Baltimore, MD, USA. Electronic address: Mandee.Noval@umm.edu.

Emily L Heil (EL)

Department of Pharmacy, University of Maryland School of Pharmacy, Baltimore, MD, USA.

Paula Williams (P)

Department of Laboratories and Pathology, University of Maryland Medical Center, Baltimore, MD, USA.

J Kristie Johnson (JK)

Department of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.

Kimberly C Claeys (KC)

Department of Pharmacy, University of Maryland School of Pharmacy, Baltimore, MD, USA.

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Classifications MeSH