Early adjustment of empirical antibiotic therapy of bloodstream infections on the basis of direct identification of bacteria by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and Gram staining results.


Journal

Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy
ISSN: 1437-7780
Titre abrégé: J Infect Chemother
Pays: Netherlands
ID NLM: 9608375

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 21 01 2020
revised: 03 04 2020
accepted: 20 04 2020
pubmed: 11 5 2020
medline: 25 6 2021
entrez: 11 5 2020
Statut: ppublish

Résumé

To assess the potential added value of rapid MALDI-TOF MS-based identification of bacteria in positive blood cultures to the information provided by Gram staining for adequate empirical antibiotic treatment adjustments in patients with bloodstream infections (BSI). We conducted a retrospective, single-center, pre-post quasi-experimental study. In the pre-MALDI-TOF MS phase of the study antibiotic adjustments were made on the basis of Gram stain results, whereas in the MALDI-TOF MS phase they were based on information provided by Gram staining and MALDI-TOF MS results. No antimicrobial stewardship program for BSI was in place within the study period. Antibiotic regimens were categorized as correct, improvable or incorrect. Cohorts were matched for demographics, clinical characteristics of patients and bacterial species involved. Enterobacteriales were the most represented in both study periods (67%), followed by Non-fermenting Gram-negative bacilli and Gram-positive cocci. The number of patients receiving correct, improvable and incorrect empirical antibiotic treatments was comparable for both study periods (P = 0.45, P = 0.57, P = 0.87, respectively). The percentage of patients who ended up receiving correct treatment following modified empirical antibiotic regimens was significantly higher (P = 0.008) in the MALDI-TOF MS phase (27 patients/38.6%) than in the pre-MALDI-TOF MS phase of the study (11 patients/15.7%), although overall adequate coverage of the bacteria causing the infection was comparable across the study periods (90%). Gram stain results offer valuable information for early adjustment of empirical antibiotic therapies for BSI. Nevertheless, rapid identification of bacteria involved in BSI by MALDI-TOF MS provides added value to achieve this aim.

Identifiants

pubmed: 32386929
pii: S1341-321X(20)30145-8
doi: 10.1016/j.jiac.2020.04.019
pii:
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

963-969

Informations de copyright

Copyright © 2020 Japanese Society of Chemotherapy and The Japanese Association for Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Ignacio Torres (I)

Microbiology Service, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, Valencia, Spain.

Carolina Pinto (C)

Infectious Diseases Unit, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, Valencia, Spain.

Rosa Oltra (R)

Infectious Diseases Unit, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, Valencia, Spain.

Tania Pascual (T)

Microbiology Service, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, Valencia, Spain.

Nieves Carbonell (N)

Intensive Care Unit, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, Valencia, Spain.

Javier Colomina (J)

Microbiology Service, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, Valencia, Spain.

Mar Tormo (M)

Hematology Service, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, Valencia, Spain.

Eliseo Albert (E)

Microbiology Service, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, Valencia, Spain.

Gerardo Aguilar (G)

Critical Care Unit, Anesthesiology and Critical Care Department, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, Valencia, Spain.

Carlos Solano (C)

Hematology Service, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, Valencia, Spain.

David Navarro (D)

Microbiology Service, Hospital Clínico Universitario, Instituto de Investigación INCLIVA, Valencia, Spain; Department of Microbiology, School of Medicine Valencia, Spain. Electronic address: david.navarro@uv.es.

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Classifications MeSH