Predictive factors of Clostridioides difficile infection in hospitalized patients with new diarrhea: A retrospective cohort study.
<h4>Introduction and objective</h4>Diagnostic testing for Clostridioides difficile infection (CDI) by nucleic acid amplification test (NAAT) cannot distinguish between colonization and infection. A positive NAAT may therefore represent a false positive for infection, since diarrhea due t...
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doaj-1be084c8a012406fa3d2638e9bf8240e2021-03-04T10:39:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-011312e020712810.1371/journal.pone.0207128Predictive factors of Clostridioides difficile infection in hospitalized patients with new diarrhea: A retrospective cohort study.Koray K DemirMatthew P ChengTodd C Lee<h4>Introduction and objective</h4>Diagnostic testing for Clostridioides difficile infection (CDI) by nucleic acid amplification test (NAAT) cannot distinguish between colonization and infection. A positive NAAT may therefore represent a false positive for infection, since diarrhea due to various aetiologies may occur in hospitalized patients. Our objective was to help answer the question: "does this medical inpatient with diarrhea have CDI?"<h4>Design</h4>We conducted a retrospective cohort study (n = 248) on the Clinical Teaching Units of the Royal Victoria Hospital (Montréal, Canada). Patients were included if they had a NAAT between January 2014 and September 2015 and their admission diagnosis was not CDI. CDI cases and non-CDI cases were compared, and independent predictors of CDI were determined by logistic regression.<h4>Results</h4>Several factors were independently associated with CDI, including: hemodialysis (OR: 13.5, 95% CI: 2.85-63.8), atrial fibrillation (OR: 3.70, 95% CI: 1.52-9.01), whether the patient received empiric treatment (OR: 3.01, 95% CI: 1.04-8.68), systemic antibiotic therapy prior to testing (OR: 4.23, 95% CI: 1.71-10.5), previous positive NAAT (OR: 3.70, 95% CI: 1.41-9.72), and a leukocyte count of 11x109/L or higher (OR: 3.43, 95% CI: 1.42-8.26). The area under the curve was 0.80.<h4>Conclusion</h4>For patients presenting with hospital-onset diarrhea, various parameters can help differentiate between CDI and other causes. A clinical prediction calculator derived from our cohort (http://individual.utoronto.ca/leet/cdiff.html) might assist clinicians in estimating the risk of CDI for inpatients; those with low pre-test probability may not require immediate testing, treatment, nor prolonged isolation.https://doi.org/10.1371/journal.pone.0207128 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Koray K Demir Matthew P Cheng Todd C Lee |
spellingShingle |
Koray K Demir Matthew P Cheng Todd C Lee Predictive factors of Clostridioides difficile infection in hospitalized patients with new diarrhea: A retrospective cohort study. PLoS ONE |
author_facet |
Koray K Demir Matthew P Cheng Todd C Lee |
author_sort |
Koray K Demir |
title |
Predictive factors of Clostridioides difficile infection in hospitalized patients with new diarrhea: A retrospective cohort study. |
title_short |
Predictive factors of Clostridioides difficile infection in hospitalized patients with new diarrhea: A retrospective cohort study. |
title_full |
Predictive factors of Clostridioides difficile infection in hospitalized patients with new diarrhea: A retrospective cohort study. |
title_fullStr |
Predictive factors of Clostridioides difficile infection in hospitalized patients with new diarrhea: A retrospective cohort study. |
title_full_unstemmed |
Predictive factors of Clostridioides difficile infection in hospitalized patients with new diarrhea: A retrospective cohort study. |
title_sort |
predictive factors of clostridioides difficile infection in hospitalized patients with new diarrhea: a retrospective cohort study. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2018-01-01 |
description |
<h4>Introduction and objective</h4>Diagnostic testing for Clostridioides difficile infection (CDI) by nucleic acid amplification test (NAAT) cannot distinguish between colonization and infection. A positive NAAT may therefore represent a false positive for infection, since diarrhea due to various aetiologies may occur in hospitalized patients. Our objective was to help answer the question: "does this medical inpatient with diarrhea have CDI?"<h4>Design</h4>We conducted a retrospective cohort study (n = 248) on the Clinical Teaching Units of the Royal Victoria Hospital (Montréal, Canada). Patients were included if they had a NAAT between January 2014 and September 2015 and their admission diagnosis was not CDI. CDI cases and non-CDI cases were compared, and independent predictors of CDI were determined by logistic regression.<h4>Results</h4>Several factors were independently associated with CDI, including: hemodialysis (OR: 13.5, 95% CI: 2.85-63.8), atrial fibrillation (OR: 3.70, 95% CI: 1.52-9.01), whether the patient received empiric treatment (OR: 3.01, 95% CI: 1.04-8.68), systemic antibiotic therapy prior to testing (OR: 4.23, 95% CI: 1.71-10.5), previous positive NAAT (OR: 3.70, 95% CI: 1.41-9.72), and a leukocyte count of 11x109/L or higher (OR: 3.43, 95% CI: 1.42-8.26). The area under the curve was 0.80.<h4>Conclusion</h4>For patients presenting with hospital-onset diarrhea, various parameters can help differentiate between CDI and other causes. A clinical prediction calculator derived from our cohort (http://individual.utoronto.ca/leet/cdiff.html) might assist clinicians in estimating the risk of CDI for inpatients; those with low pre-test probability may not require immediate testing, treatment, nor prolonged isolation. |
url |
https://doi.org/10.1371/journal.pone.0207128 |
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