The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients.

Autor:	van der Werff SD; Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.; Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden., Fritzing M; Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.; Uppsala University Hospital, Uppsala, Sweden., Tanushi H; Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.; Department of Data Processing & Analysis, Karolinska University Hospital, Stockholm, Sweden., Henriksson A; Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden., Dalianis H; Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden., Ternhag A; Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.; Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden., Färnert A; Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.; Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden., Nauclér P; Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.; Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.
Jazyk:	angličtina
Zdroj:	Antimicrobial stewardship & healthcare epidemiology : ASHE [Antimicrob Steward Healthc Epidemiol] 2022 Mar 16; Vol. 2 (1), pp. e43. Date of Electronic Publication: 2022 Mar 16 (Print Publication: 2022).
DOI:	10.1017/ash.2022.32
Abstrakt:	We developed and validated a set of fully automated surveillance algorithms for healthcare-onset CDI using electronic health records. In a validation data set of 750 manually annotated admissions, the algorithm based on International Classification of Disease, Tenth Revision (ICD-10) code A04.7 had insufficient sensitivity. Algorithms based on microbiological test results with or without addition of symptoms performed well. (© The Author(s) 2022.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu