The accuracy of fully automated algorithms for surveillance of healthcare-onset <i>Clostridioides difficile</i> infections in hospitalized patients-Reference-Cited by-同舟云学术

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

Published:2022 Issue:1 Volume:2 Page:
ISSN:2732-494X
Container-title:Antimicrobial Stewardship & Healthcare Epidemiology
language:en
Short-container-title:ASHE

Author:

van der Werff Suzanne Desirée^ORCID,Fritzing Mikael,Tanushi Hideyuki,Henriksson Aron^ORCID,Dalianis Hercules^ORCID,Ternhag Anders,Färnert Anna^ORCID,Nauclér Pontus^ORCID

Abstract

Abstract 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.

Publisher

Cambridge University Press (CUP)

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