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Impact of BioFire® Blood Culture Identification (BCID) panels on antibiotic management of bacteremia due to select organisms.
Vyas, Shivam; Patel, Dimple; Bandali, Aiman; Giordano, Pamela; Roland, Robert; Kessler, Jason.
Afiliação
  • Vyas S; Morristown Medical Center, 100 Madison Avenue, Morristown, NJ 07960, United States. Electronic address: Shivam.Vyas@atlantichealth.org.
  • Patel D; Morristown Medical Center, 100 Madison Avenue, Morristown, NJ 07960, United States.
  • Bandali A; Overlook Medical Center, 99 Beauvoir Avenue, Summit, NJ 07901, United States.
  • Giordano P; Morristown Medical Center, 100 Madison Avenue, Morristown, NJ 07960, United States.
  • Roland R; Overlook Medical Center, 99 Beauvoir Avenue, Summit, NJ 07901, United States.
  • Kessler J; Morristown Medical Center, 100 Madison Avenue, Morristown, NJ 07960, United States.
Diagn Microbiol Infect Dis ; 110(1): 116384, 2024 Jun 04.
Article em En | MEDLINE | ID: mdl-39002446
ABSTRACT
The purpose of this study was to assess changes in time to optimal therapy (TTOT) for bacteremia due to select organisms after implementation of the BioFire® FilmArray® blood culture identification panels at two community teaching hospitals. TTOT (days) was similar in Pre-BCID compared to BCID1 and BCID2 [(2.48 vs. 2.65, p=0.10); (2.48 vs. 2.37, p=0.27)]. There were no significant differences in time to effective antimicrobial therapy between groups. However, there were significantly more therapy changes and appropriate carbapenem use within 24 hours of the Gram stain result for gram-negative organisms in the BCID2 arm compared to the Pre-BCID arm. Additionally, a significant reduction in the duration of vancomycin for gram-positive organisms was noted in the BCID2 arm compared to the Pre-BCID arm. These findings suggest that the incorporation of the BCID2 panel resulted in changes in prescribing practices, leading to more appropriate antimicrobial utilization in a subset of patients.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article