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Computerized decision support system (CDSS) use for surveillance of antimicrobial resistance in urinary tract infections in primary care.
Delory, Tristan; Le Bel, Josselin; Lariven, Sylvie; Peiffer-Smadja, Nathan; Lescure, François-Xavier; Bouvet, Elisabeth; Jeanmougin, Pauline; Tubach, Florence; Boëlle, Pierre-Yves.
Afiliación
  • Delory T; Antibioclic Steering Committee, Paris, France.
  • Le Bel J; Sorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, IPLESP, F-75012 Paris, France.
  • Lariven S; Annecy-Genevois Hospital (CHANGE), DRCI, F-74370 Epagny-Metz-Tessy, France.
  • Peiffer-Smadja N; Antibioclic Steering Committee, Paris, France.
  • Lescure FX; Department of General Practice, Université de Paris, F-75018 Paris, France.
  • Bouvet E; UMR 1137, INSERM, IAME, F-75018 Paris, France.
  • Jeanmougin P; Antibioclic Steering Committee, Paris, France.
  • Tubach F; Department of Infectious and Tropical Diseases, AP-HP, Bichat Hospital, F-75018 Paris, France.
  • Boëlle PY; Antibioclic Steering Committee, Paris, France.
J Antimicrob Chemother ; 77(2): 524-530, 2022 02 02.
Article en En | MEDLINE | ID: mdl-34747446
BACKGROUND: Hospital-based surveillance of antimicrobial resistance may be irrelevant as a guide to antimicrobial use for urinary tract infections (UTIs) in primary care. OBJECTIVES: To highlight the value of online computerized decision support systems (CDSS) in providing information on the surveillance of antimicrobial resistance in community-acquired UTIs. METHODS: We collected the susceptibility profile for key antibiotics by type of UTI involving Escherichia coli from 2017 to 2020, using queries for UTI (Q-UTI) submitted to a French CDSS. We compared these results with those from the MedQual French surveillance system for community-acquired UTI and the European Antimicrobial Resistance Surveillance Network (EARS-NET) for invasive infections. RESULTS: We collected 43 591 Q-UTI, of which 10 192 (23%) involved E. coli: 40% cystitis, 32% male-UTI, and 27% pyelonephritis. Resistance was 41.3% (95% CI, 40.3%-42.2%) for amoxicillin, 16.6% (95% CI, 15.9%-17.3%) for fluoroquinolones, 6.6% (95% CI, 6.1%-7.0%) for third-generation cephalosporins (3GC), and 5.7% (95% CI, 5.2%-6.1%) for aminoglycosides. Resistance to amoxicillin was lower than that reported in MedQual (42.7%, P value = 0.004), and in EARS-NET (55.2%, P value < 0.001). For fluoroquinolones, resistance was higher than in MedQual (12.0%, P value < 0.001) and EARS-NET (15.8%, P value = 0.041). In complicated pyelonephritis and male UTI, fluoroquinolone resistance peaked at ∼20%. For 3GC, all UTI had higher resistance than in MedQual (3.5%, P value < 0.001), but lower than in EARS-NET (9.5%, P value < 0.001). Aminoglycoside resistance was not reported by MedQual, and was lower than in EARS-NET (7.1%, P value < 0.001). CONCLUSIONS: CDSS can inform prescribers in real-time about the ecology and surveillance of E. coli resistance in community-acquired UTI. In complicated upper UTIs, they can underline the risk of empirical use of fluoroquinolones and suggest preferential use of 3GC.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infecciones Urinarias / Antiinfecciosos Tipo de estudio: Screening_studies Límite: Female / Humans / Male Idioma: En Revista: J Antimicrob Chemother Año: 2022 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infecciones Urinarias / Antiinfecciosos Tipo de estudio: Screening_studies Límite: Female / Humans / Male Idioma: En Revista: J Antimicrob Chemother Año: 2022 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Reino Unido