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. |
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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 |
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