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

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...

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Autores principales: van der Werff, Suzanne Desirée, Fritzing, Mikael, Tanushi, Hideyuki, Henriksson, Aron, Dalianis, Hercules, Ternhag, Anders, Färnert, Anna, Nauclér, Pontus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Concise Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614897/
https://www.ncbi.nlm.nih.gov/pubmed/36310782
http://dx.doi.org/10.1017/ash.2022.32
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author van der Werff, Suzanne Desirée
Fritzing, Mikael
Tanushi, Hideyuki
Henriksson, Aron
Dalianis, Hercules
Ternhag, Anders
Färnert, Anna
Nauclér, Pontus
author_facet van der Werff, Suzanne Desirée
Fritzing, Mikael
Tanushi, Hideyuki
Henriksson, Aron
Dalianis, Hercules
Ternhag, Anders
Färnert, Anna
Nauclér, Pontus
author_sort van der Werff, Suzanne Desirée
collection PubMed
description 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.
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spelling pubmed-96148972022-10-29 The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients van der Werff, Suzanne Desirée Fritzing, Mikael Tanushi, Hideyuki Henriksson, Aron Dalianis, Hercules Ternhag, Anders Färnert, Anna Nauclér, Pontus Antimicrob Steward Healthc Epidemiol Concise Communication 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. Cambridge University Press 2022-03-16 /pmc/articles/PMC9614897/ /pubmed/36310782 http://dx.doi.org/10.1017/ash.2022.32 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Concise Communication
van der Werff, Suzanne Desirée
Fritzing, Mikael
Tanushi, Hideyuki
Henriksson, Aron
Dalianis, Hercules
Ternhag, Anders
Färnert, Anna
Nauclér, Pontus
The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients
title The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients
title_full The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients
title_fullStr The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients
title_full_unstemmed The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients
title_short The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients
title_sort accuracy of fully automated algorithms for surveillance of healthcare-onset clostridioides difficile infections in hospitalized patients
topic Concise Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614897/
https://www.ncbi.nlm.nih.gov/pubmed/36310782
http://dx.doi.org/10.1017/ash.2022.32
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