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Clinical prediction rule for identifying older patients with toxigenic clostridioides difficile at the time of hospital admission

BACKGROUND: This study aimed to develop and validate a clinical prediction rule to screen older patients at risk of being toxigenic Clostridioides difficile carriers at the time of hospital admission. METHODS: This retrospective case-control study was performed at a university-affiliated hospital. A...

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Autores principales: Lee, Ki-Byung, Lee, Mina, Suh, Jin Woong, Yang, Kyung-Sook, Chung, Youseung, Kim, Jeong Yeon, Kim, Sun Bean, Sohn, Jang Wook, Yoon, Young Kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990199/
https://www.ncbi.nlm.nih.gov/pubmed/36879198
http://dx.doi.org/10.1186/s12877-023-03808-2
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author Lee, Ki-Byung
Lee, Mina
Suh, Jin Woong
Yang, Kyung-Sook
Chung, Youseung
Kim, Jeong Yeon
Kim, Sun Bean
Sohn, Jang Wook
Yoon, Young Kyung
author_facet Lee, Ki-Byung
Lee, Mina
Suh, Jin Woong
Yang, Kyung-Sook
Chung, Youseung
Kim, Jeong Yeon
Kim, Sun Bean
Sohn, Jang Wook
Yoon, Young Kyung
author_sort Lee, Ki-Byung
collection PubMed
description BACKGROUND: This study aimed to develop and validate a clinical prediction rule to screen older patients at risk of being toxigenic Clostridioides difficile carriers at the time of hospital admission. METHODS: This retrospective case-control study was performed at a university-affiliated hospital. Active surveillance using a real-time polymerase chain reaction (PCR) assay for the toxin genes of C. difficile was conducted among older patients (≥ 65 years) upon admission to the Division of Infectious Diseases of our institution. This rule was drawn from a derivative cohort between October 2019 and April 2021 using a multivariable logistic regression model. Clinical predictability was evaluated in the validation cohort between May 2021 and October 2021. RESULTS: Of 628 PCR screenings for toxigenic C. difficile carriage, 101 (16.1%) yielded positive findings. To establish clinical prediction rules in the derivation cohort, the formula was derived using significant predictors for toxigenic C. difficile carriage at admission, such as septic shock, connective tissue diseases, anemia, recent use of antibiotics, and recent use of proton-pump inhibitors. In the validation cohort, the sensitivity, specificity, and positive and negative predictive values of the prediction rule, based on a cut-off value of ≥ 0.45, were 78.3%, 70.8%, 29.5%, and 95.4%, respectively. CONCLUSION: This clinical prediction rule for identifying toxigenic C. difficile carriage at admission may facilitate the selective screening of high-risk groups. To implement it in a clinical setting, more patients from other medical institutions need to be prospectively examined.
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spelling pubmed-99901992023-03-08 Clinical prediction rule for identifying older patients with toxigenic clostridioides difficile at the time of hospital admission Lee, Ki-Byung Lee, Mina Suh, Jin Woong Yang, Kyung-Sook Chung, Youseung Kim, Jeong Yeon Kim, Sun Bean Sohn, Jang Wook Yoon, Young Kyung BMC Geriatr Research BACKGROUND: This study aimed to develop and validate a clinical prediction rule to screen older patients at risk of being toxigenic Clostridioides difficile carriers at the time of hospital admission. METHODS: This retrospective case-control study was performed at a university-affiliated hospital. Active surveillance using a real-time polymerase chain reaction (PCR) assay for the toxin genes of C. difficile was conducted among older patients (≥ 65 years) upon admission to the Division of Infectious Diseases of our institution. This rule was drawn from a derivative cohort between October 2019 and April 2021 using a multivariable logistic regression model. Clinical predictability was evaluated in the validation cohort between May 2021 and October 2021. RESULTS: Of 628 PCR screenings for toxigenic C. difficile carriage, 101 (16.1%) yielded positive findings. To establish clinical prediction rules in the derivation cohort, the formula was derived using significant predictors for toxigenic C. difficile carriage at admission, such as septic shock, connective tissue diseases, anemia, recent use of antibiotics, and recent use of proton-pump inhibitors. In the validation cohort, the sensitivity, specificity, and positive and negative predictive values of the prediction rule, based on a cut-off value of ≥ 0.45, were 78.3%, 70.8%, 29.5%, and 95.4%, respectively. CONCLUSION: This clinical prediction rule for identifying toxigenic C. difficile carriage at admission may facilitate the selective screening of high-risk groups. To implement it in a clinical setting, more patients from other medical institutions need to be prospectively examined. BioMed Central 2023-03-06 /pmc/articles/PMC9990199/ /pubmed/36879198 http://dx.doi.org/10.1186/s12877-023-03808-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lee, Ki-Byung
Lee, Mina
Suh, Jin Woong
Yang, Kyung-Sook
Chung, Youseung
Kim, Jeong Yeon
Kim, Sun Bean
Sohn, Jang Wook
Yoon, Young Kyung
Clinical prediction rule for identifying older patients with toxigenic clostridioides difficile at the time of hospital admission
title Clinical prediction rule for identifying older patients with toxigenic clostridioides difficile at the time of hospital admission
title_full Clinical prediction rule for identifying older patients with toxigenic clostridioides difficile at the time of hospital admission
title_fullStr Clinical prediction rule for identifying older patients with toxigenic clostridioides difficile at the time of hospital admission
title_full_unstemmed Clinical prediction rule for identifying older patients with toxigenic clostridioides difficile at the time of hospital admission
title_short Clinical prediction rule for identifying older patients with toxigenic clostridioides difficile at the time of hospital admission
title_sort clinical prediction rule for identifying older patients with toxigenic clostridioides difficile at the time of hospital admission
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990199/
https://www.ncbi.nlm.nih.gov/pubmed/36879198
http://dx.doi.org/10.1186/s12877-023-03808-2
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