Antimicrobial Resistance and Mortality in Hospitalized Patients with Bacteremia in the Greater Paris Area from 2016 to 2019.

anti-bacterial agents bacteremia data warehousing drug resistance incidence microbial mortality

Journal

Clinical epidemiology
ISSN: 1179-1349
Titre abrégé: Clin Epidemiol
Pays: New Zealand
ID NLM: 101531700

Informations de publication

Date de publication:
2022
Historique:
received: 15 08 2022
accepted: 12 11 2022
entrez: 21 12 2022
pubmed: 22 12 2022
medline: 22 12 2022
Statut: epublish

Résumé

Antibiotic-resistant bacteremia is a leading global cause of infectious disease morbidity and mortality. Clinical data warehouses (CDWs) allow for the secure, real-time coupling of diverse data sources from real-world clinical settings, including care-based medical-administrative data and laboratory-based microbiological data. The main purpose of this study was to assess the contribution of CDWs in the epidemiological study of antibiotic resistance by constructing a database of bacteremia patients, BactHub, and describing their main clinico-microbiological features and outcomes. Adult patients with bacteremia hospitalized between January 1, 2016 and December 31, 2019 in 14 acute care university hospitals from the Greater Paris area were identified; their first bacteremia episode was included. Data describing patients, episodes of bacteremia, bacterial isolates, and antimicrobial resistance were structured. Among 29,228 patients with bacteremia, 41% of episodes were community-onset (CO) and 59% were hospital-acquired (HA). Thirty-day and ninety-day mortality rates were 15% and 20% in CO episodes, and 18% and 36% in HA episodes. Overall resistance rates were high, including third-generation cephalosporin resistance among The Bacthub database provides accurate clinico-microbiological data describing bacteremia across France's largest hospital group. Data from Bacthub may inform surveillance and the clinical decision-making process for bacteremia patients, including choice of antimicrobial therapy. The database also offers opportunities for research, including analysis of hospital care pathways and significant patient outcomes such as mortality and recurrence of infection.

Identifiants

pubmed: 36540898
doi: 10.2147/CLEP.S385555
pii: 385555
pmc: PMC9759973
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1547-1560

Informations de copyright

© 2022 Abbara et al.

Déclaration de conflit d'intérêts

Funding received by SA had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. LW received consulting fees from Pfizer, HEVA, IQVIA for unrelated projects. Other authors report no competing interests. The authors report no other conflicts of interest in this work.

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Auteurs

Salam Abbara (S)

Anti-Infective Evasion and Pharmacoepidemiology Team, Inserm, UVSQ, University Paris-Saclay, CESP, Montigny-Le-Bretonneux, France.
Institut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), University Paris Cité, Paris, France.

Didier Guillemot (D)

Anti-Infective Evasion and Pharmacoepidemiology Team, Inserm, UVSQ, University Paris-Saclay, CESP, Montigny-Le-Bretonneux, France.
Institut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), University Paris Cité, Paris, France.
Public Health, Medical Information, Clinical Research, AP-HP, University Paris Saclay, Le Kremlin-Bicêtre, France.

Salma El Oualydy (S)

Plateforme des données de santé - Health Data Hub, Paris, France.

Maeva Kos (M)

Plateforme des données de santé - Health Data Hub, Paris, France.

Cécile Poret (C)

AP-HP, Direction des Systèmes d'Information, Pôle Innovation et Données, Paris, France.

Stéphane Breant (S)

AP-HP, Direction des Systèmes d'Information, Pôle Innovation et Données, Paris, France.

Christian Brun-Buisson (C)

Anti-Infective Evasion and Pharmacoepidemiology Team, Inserm, UVSQ, University Paris-Saclay, CESP, Montigny-Le-Bretonneux, France.
Institut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), University Paris Cité, Paris, France.

Laurence Watier (L)

Anti-Infective Evasion and Pharmacoepidemiology Team, Inserm, UVSQ, University Paris-Saclay, CESP, Montigny-Le-Bretonneux, France.
Institut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), University Paris Cité, Paris, France.

Classifications MeSH