Potential impact of real-time processing and rapid susceptibility testing of blood samples in Gram-negative bloodstream infections in intensive care patients.

Antibiotic susceptibility test Antimicrobial stewardship Bloodstream infections Intensive care Rapid diagnostic testing

Journal

Infectious diseases now
ISSN: 2666-9919
Titre abrégé: Infect Dis Now
Pays: France
ID NLM: 101775152

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 11 01 2023
revised: 08 08 2023
accepted: 11 08 2023
pubmed: 25 8 2023
medline: 25 8 2023
entrez: 24 8 2023
Statut: ppublish

Résumé

Timely and appropriate therapy is critical in patients with Gram-negative bloodstream infections (GNBSI). Most bacteriology laboratories process blood specimen in the daytime, during laboratory operating hours, and use conventional culture for antimicrobial susceptibility testing (AST). We simulated the potential impact of real-time processing and rapid AST (7 hours) on early adaptation of the antibiotic regimen in intensive care unit (ICU) patients with GNBSI. All GNBSI episodes occurring in the ICUs of 2 hospitals in Paris were included. Data were collected. For each episode of bacteremia, we simulated the impact of three strategies: (1) Real-time processing coupled with conventional techniques (Gram stain and standard AST); (2) Standard processing coupled with rapid AST; and (3) Real-time processing coupled with rapid AST. We included 109 episodes in 98 patients. Forty-two patients (48%) died during ICU stay. AST results led to a change of the antibiotic regimen in 66 (61%) episodes, mainly de-escalation (54/109, 55%). In standard care, median time from sample collection to definitive AST result was 65.9 hours (±26.7). The three strategies would have reduced time-to-result by 9.2 hours (±7.1), 30.8 hours (±19.7) and 40.0 hours (±20.6) respectively. Compared to standard care, strategies 1, 2 and 3 would have avoided 20, 69 and 90 patient-days of broad-spectrum antibiotics respectively. In addition to real-time processing of blood samples, rapid AST would be the most effective strategy to shorten time-to-result in critical patients with GNBSI.

Identifiants

pubmed: 37619962
pii: S2666-9919(23)00135-5
doi: 10.1016/j.idnow.2023.104773
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104773

Informations de copyright

Copyright © 2023. Published by Elsevier Masson SAS.

Auteurs

S Alviset (S)

Université Paris Cité, Faculté de Médecine, F-75006 Paris, France; Equipe Mobile d'Infectiologie, AP-HP, Hôpital Cochin, F-75014 Paris, France; Médecine Intensive et Réanimation, Hôpital Delafontaine, Saint-Denis, France.

S Rodari (S)

Service de Microbiologie Clinique, Groupe Hospitalier Paris Saint-Joseph, Paris, France.

H Poupet (H)

Bactériologie, AP-HP, Hôpital Cochin, F-75014 Paris, France.

A Mizrahi (A)

Service de Microbiologie Clinique, Groupe Hospitalier Paris Saint-Joseph, Paris, France; Institut Micalis UMR 1319, Université Paris-Saclay, INRAe, AgroParisTech, Châtenay Malabry, France.

N Gastli (N)

Bactériologie, AP-HP, Hôpital Cochin, F-75014 Paris, France.

F Philippart (F)

Réanimation Médicale et Chirurgicale, Groupe Hospitalier Paris Saint Joseph, Paris, France; Endotoxine et Structure de l'hôte. Département de Microbiologie. Institut de Biologie Intégrative de la Cellule. UMR 9891, Gif-sur-Yvette, France.

J Charpentier (J)

Médecine Intensive Réanimation, AP-HP, Hôpital Cochin, F-75014 Paris, France.

B Pilmis (B)

Service de Microbiologie Clinique, Groupe Hospitalier Paris Saint-Joseph, Paris, France; Institut Micalis UMR 1319, Université Paris-Saclay, INRAe, AgroParisTech, Châtenay Malabry, France. Electronic address: bpilmis@ghpsj.fr.

S Kernéis (S)

Equipe Mobile d'Infectiologie, AP-HP, Hôpital Cochin, F-75014 Paris, France; Université Paris Cité, INSERM, IAME, F-75018 Paris, France; Equipe de Prévention du Risque Infectieux, AP-HP, Hôpital Bichat, F-75018 Paris, France.

Classifications MeSH