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Validation of the chronic disease score-infectious disease (CDS-ID) for the prediction of hospital-associated clostridium difficile infection (CDI) within a retrospective cohort

BACKGROUND: Aggregate comorbidity scores are useful for summarizing risk and confounder control in studies of hospital-associated infections. The Chronic Disease Score – Infectious Diseases (CDS-ID) was developed for this purpose, but it has not been validated for use in studies of Clostridium diffi...

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Autores principales: Stevens, Vanessa, Concannon, Cathleen, van Wijngaarden, Edwin, McGregor, Jessina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3614868/
https://www.ncbi.nlm.nih.gov/pubmed/23530876
http://dx.doi.org/10.1186/1471-2334-13-150
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author Stevens, Vanessa
Concannon, Cathleen
van Wijngaarden, Edwin
McGregor, Jessina
author_facet Stevens, Vanessa
Concannon, Cathleen
van Wijngaarden, Edwin
McGregor, Jessina
author_sort Stevens, Vanessa
collection PubMed
description BACKGROUND: Aggregate comorbidity scores are useful for summarizing risk and confounder control in studies of hospital-associated infections. The Chronic Disease Score – Infectious Diseases (CDS-ID) was developed for this purpose, but it has not been validated for use in studies of Clostridium difficile Infection (CDI). The aim of this study was to assess the discrimination, calibration and potential for confounder control of CDS-ID compared to age alone or individual comorbid conditions. METHODS: Secondary analysis of a retrospective cohort study of adult inpatients with 2 or more days of antibiotic exposure at a tertiary care facility during 2005. Logistic regression models were used to predict the development of CDI up to 60 days post-discharge. Model discrimination and calibration were assessed using the c-statistic and Hosmer-Lemeshow (HL) tests, respectively. C-statistics were compared using chi-square tests. RESULTS: CDI developed in 185 out of 7,792 patients. The CDS-ID was a better standalone predictor of CDI than age (c-statistic 0.653 vs 0.609, P=0.04). The best discrimination was observed when CDS-ID and age were both used to predict CDI (c-statistic 0.680). All models had acceptable calibration (P>0.05). CONCLUSION: The CDS-ID is a valid tool for summarizing risk of CDI associated with comorbid conditions.
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spelling pubmed-36148682013-04-03 Validation of the chronic disease score-infectious disease (CDS-ID) for the prediction of hospital-associated clostridium difficile infection (CDI) within a retrospective cohort Stevens, Vanessa Concannon, Cathleen van Wijngaarden, Edwin McGregor, Jessina BMC Infect Dis Research Article BACKGROUND: Aggregate comorbidity scores are useful for summarizing risk and confounder control in studies of hospital-associated infections. The Chronic Disease Score – Infectious Diseases (CDS-ID) was developed for this purpose, but it has not been validated for use in studies of Clostridium difficile Infection (CDI). The aim of this study was to assess the discrimination, calibration and potential for confounder control of CDS-ID compared to age alone or individual comorbid conditions. METHODS: Secondary analysis of a retrospective cohort study of adult inpatients with 2 or more days of antibiotic exposure at a tertiary care facility during 2005. Logistic regression models were used to predict the development of CDI up to 60 days post-discharge. Model discrimination and calibration were assessed using the c-statistic and Hosmer-Lemeshow (HL) tests, respectively. C-statistics were compared using chi-square tests. RESULTS: CDI developed in 185 out of 7,792 patients. The CDS-ID was a better standalone predictor of CDI than age (c-statistic 0.653 vs 0.609, P=0.04). The best discrimination was observed when CDS-ID and age were both used to predict CDI (c-statistic 0.680). All models had acceptable calibration (P>0.05). CONCLUSION: The CDS-ID is a valid tool for summarizing risk of CDI associated with comorbid conditions. BioMed Central 2013-03-26 /pmc/articles/PMC3614868/ /pubmed/23530876 http://dx.doi.org/10.1186/1471-2334-13-150 Text en Copyright © 2013 Stevens et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Stevens, Vanessa
Concannon, Cathleen
van Wijngaarden, Edwin
McGregor, Jessina
Validation of the chronic disease score-infectious disease (CDS-ID) for the prediction of hospital-associated clostridium difficile infection (CDI) within a retrospective cohort
title Validation of the chronic disease score-infectious disease (CDS-ID) for the prediction of hospital-associated clostridium difficile infection (CDI) within a retrospective cohort
title_full Validation of the chronic disease score-infectious disease (CDS-ID) for the prediction of hospital-associated clostridium difficile infection (CDI) within a retrospective cohort
title_fullStr Validation of the chronic disease score-infectious disease (CDS-ID) for the prediction of hospital-associated clostridium difficile infection (CDI) within a retrospective cohort
title_full_unstemmed Validation of the chronic disease score-infectious disease (CDS-ID) for the prediction of hospital-associated clostridium difficile infection (CDI) within a retrospective cohort
title_short Validation of the chronic disease score-infectious disease (CDS-ID) for the prediction of hospital-associated clostridium difficile infection (CDI) within a retrospective cohort
title_sort validation of the chronic disease score-infectious disease (cds-id) for the prediction of hospital-associated clostridium difficile infection (cdi) within a retrospective cohort
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3614868/
https://www.ncbi.nlm.nih.gov/pubmed/23530876
http://dx.doi.org/10.1186/1471-2334-13-150
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