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External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection
BACKGROUND: Several clinical prediction rules (CPRs) for complications and mortality of Clostridioides difficile infection (CDI) have been developed but only a few have gone through external validation, and none is widely recommended in clinical practice. METHODS: CPRs were identified through a syst...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917260/ https://www.ncbi.nlm.nih.gov/pubmed/31846487 http://dx.doi.org/10.1371/journal.pone.0226672 |
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author | Beauregard-Paultre, Catherine Abou Chakra, Claire Nour McGeer, Allison Labbé, Annie-Claude Simor, Andrew E. Gold, Wayne Muller, Matthew P. Powis, Jeff Katz, Kevin Cadarette, Suzanne M. Pépin, Jacques Valiquette, Louis |
author_facet | Beauregard-Paultre, Catherine Abou Chakra, Claire Nour McGeer, Allison Labbé, Annie-Claude Simor, Andrew E. Gold, Wayne Muller, Matthew P. Powis, Jeff Katz, Kevin Cadarette, Suzanne M. Pépin, Jacques Valiquette, Louis |
author_sort | Beauregard-Paultre, Catherine |
collection | PubMed |
description | BACKGROUND: Several clinical prediction rules (CPRs) for complications and mortality of Clostridioides difficile infection (CDI) have been developed but only a few have gone through external validation, and none is widely recommended in clinical practice. METHODS: CPRs were identified through a systematic review. We included studies that predicted severe or complicated CDI (cCDI) and mortality, reported at least an internal validation step, and for which data were available with minimal modifications. Data from a multicenter prospective cohort of 1380 adults with confirmed CDI were used for external validation. In this cohort, cCDI occurred in 8% of the patients and 30-day all-cause mortality occurred in 12%. The performance of each tool was assessed using individual outcomes, with the same cut-offs and standard parameters. RESULTS: Seven CPRs were assessed. Three predictive scores for cCDI showed low sensitivity (25–61%) and positive predictive value (PPV; 9–31%), but moderate specificity (54–90%) and negative predictive value (NPV; 82–95%). One model [using age, white blood cell count (WBC), narcotic use, antacids use, and creatinine ratio > 1.5× the normal level as covariates] showed a probability of 25% of cCDI at the optimal cut-off point with 36% sensitivity and 84% specificity. Two scores for mortality had low sensitivity (4–55%) and PPV (25–31%), and moderate specificity (71–78%) and NPV (87–92%). One predictive model for 30-day all-cause mortality [Charlson comorbidity index, WBC, blood urea nitrogen (BUN), diagnosis in ICU, and delirium] showed an AUC-ROC of 0.74. All other CPRs showed lower AUC values (0.63–0.69). Errors in calibration ranged from 12%- 27%. CONCLUSIONS: Included CPRs showed moderate performance for clinical use in a large validation cohort with a majority of patients infected with ribotype 027 strains and a low rate of cCDI and mortality. These data show that better CPRs need to be developed and validated. |
format | Online Article Text |
id | pubmed-6917260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69172602019-12-27 External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection Beauregard-Paultre, Catherine Abou Chakra, Claire Nour McGeer, Allison Labbé, Annie-Claude Simor, Andrew E. Gold, Wayne Muller, Matthew P. Powis, Jeff Katz, Kevin Cadarette, Suzanne M. Pépin, Jacques Valiquette, Louis PLoS One Research Article BACKGROUND: Several clinical prediction rules (CPRs) for complications and mortality of Clostridioides difficile infection (CDI) have been developed but only a few have gone through external validation, and none is widely recommended in clinical practice. METHODS: CPRs were identified through a systematic review. We included studies that predicted severe or complicated CDI (cCDI) and mortality, reported at least an internal validation step, and for which data were available with minimal modifications. Data from a multicenter prospective cohort of 1380 adults with confirmed CDI were used for external validation. In this cohort, cCDI occurred in 8% of the patients and 30-day all-cause mortality occurred in 12%. The performance of each tool was assessed using individual outcomes, with the same cut-offs and standard parameters. RESULTS: Seven CPRs were assessed. Three predictive scores for cCDI showed low sensitivity (25–61%) and positive predictive value (PPV; 9–31%), but moderate specificity (54–90%) and negative predictive value (NPV; 82–95%). One model [using age, white blood cell count (WBC), narcotic use, antacids use, and creatinine ratio > 1.5× the normal level as covariates] showed a probability of 25% of cCDI at the optimal cut-off point with 36% sensitivity and 84% specificity. Two scores for mortality had low sensitivity (4–55%) and PPV (25–31%), and moderate specificity (71–78%) and NPV (87–92%). One predictive model for 30-day all-cause mortality [Charlson comorbidity index, WBC, blood urea nitrogen (BUN), diagnosis in ICU, and delirium] showed an AUC-ROC of 0.74. All other CPRs showed lower AUC values (0.63–0.69). Errors in calibration ranged from 12%- 27%. CONCLUSIONS: Included CPRs showed moderate performance for clinical use in a large validation cohort with a majority of patients infected with ribotype 027 strains and a low rate of cCDI and mortality. These data show that better CPRs need to be developed and validated. Public Library of Science 2019-12-17 /pmc/articles/PMC6917260/ /pubmed/31846487 http://dx.doi.org/10.1371/journal.pone.0226672 Text en © 2019 Beauregard-Paultre et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Beauregard-Paultre, Catherine Abou Chakra, Claire Nour McGeer, Allison Labbé, Annie-Claude Simor, Andrew E. Gold, Wayne Muller, Matthew P. Powis, Jeff Katz, Kevin Cadarette, Suzanne M. Pépin, Jacques Valiquette, Louis External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection |
title | External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection |
title_full | External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection |
title_fullStr | External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection |
title_full_unstemmed | External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection |
title_short | External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection |
title_sort | external validation of clinical prediction rules for complications and mortality following clostridioides difficile infection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917260/ https://www.ncbi.nlm.nih.gov/pubmed/31846487 http://dx.doi.org/10.1371/journal.pone.0226672 |
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