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

Salam Abbara (1, 2) , Didier Guillemot (1, 2, 3) , Salma El Oualydy (4) , Maeva Kos (4) , Cécile Poret (5) , Stéphane Breant (5) , Christian Brun-Buisson (1) , Laurence Watier (2, 1)

1 EMAE - Epidémiologie et modélisation de la résistance aux antimicrobiens - Epidemiology and modelling of bacterial escape to antimicrobials
2 CESP - Centre de recherche en épidémiologie et santé des populations
3 Hôpital Bicêtre [AP-HP, Le Kremlin-Bicêtre]
4 Plateforme des données de santé - Health Data Hub [Paris, France]
5 Direction des Systèmes d’Information, Pôle Innovation et Données [AP-HP]

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.

Mots clés: data warehousing; bacteremia; drug resistance; microbial; anti-bacterial agents; mortality; incidence

Domaines: Santé publique et épidémiologie; Maladies infectieuses

Salam Abbara, Didier Guillemot, Salma El Oualydy, Maeva Kos, Cécile Poret, et al.. Antimicrobial Resistance and Mortality in Hospitalized Patients with Bacteremia in the Greater Paris Area from 2016 to 2019. Clinical Epidemiology, 2022, Volume 14, pp.1547-1560. ⟨10.2147/CLEP.S385555⟩. ⟨pasteur-04313608⟩