Accelerate Pheno™ blood culture detection system: a literature review.


Journal

Future microbiology
ISSN: 1746-0921
Titre abrégé: Future Microbiol
Pays: England
ID NLM: 101278120

Informations de publication

Date de publication:
10 2020
Historique:
pubmed: 21 11 2020
medline: 14 10 2021
entrez: 20 11 2020
Statut: ppublish

Résumé

Accelerate Pheno™ (ACC) is a fully automated system providing rapid identification of a panel of bacteria and yeasts, and antimicrobial susceptibility testing of common bacterial pathogens responsible for bloodstream infections and sepsis. Diagnostic accuracy for identification ranges from 87.9 to 100%, and antimicrobial susceptibility testing categorical agreement is higher than 91%. The present review includes peer-reviewed studies on ACC published to date. Both interventional and hypothetical studies evidenced the potential positive clinical role of ACC in the management and therapy of patients with bloodstream infections and sepsis, due to the important reduction in time to report, suggesting a crucial impact on the therapeutic management of these patients, provided the presence of a hospital antimicrobial stewardship program, a 24/7 laboratory operating time and a strict collaboration between clinical microbiologist and clinician. Further prospective multicenter studies are necessary to explore the impact of this system on mortality, length of stay and spread of multidrug-resistant organisms.

Identifiants

pubmed: 33215528
doi: 10.2217/fmb-2020-0177
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1595-1605

Auteurs

Elio Cenci (E)

Department of Medicine, Medical Microbiology, University of Perugia, Perugia, Italy.
Microbiology, Perugia General Hospital, Perugia, Italy.

Riccardo Paggi (R)

Department of Medicine, Medical Microbiology, University of Perugia, Perugia, Italy.

Giuseppe V De Socio (GV)

Clinic of Infectious Diseases, Perugia General Hospital, Perugia, Italy.

Silvia Bozza (S)

Department of Medicine, Medical Microbiology, University of Perugia, Perugia, Italy.
Microbiology, Perugia General Hospital, Perugia, Italy.

Barbara Camilloni (B)

Department of Medicine, Medical Microbiology, University of Perugia, Perugia, Italy.
Microbiology, Perugia General Hospital, Perugia, Italy.

Donatella Pietrella (D)

Department of Medicine, Medical Microbiology, University of Perugia, Perugia, Italy.
Microbiology, Perugia General Hospital, Perugia, Italy.

Antonella Mencacci (A)

Department of Medicine, Medical Microbiology, University of Perugia, Perugia, Italy.
Microbiology, Perugia General Hospital, Perugia, Italy.

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Classifications MeSH