High Prevalence of Multistep Algorithms in Diagnostic <i>Clostridioides difficile</i> Laboratory Testing

Multistep algorithms for CDI diagnosis are widely used in line with published recommendations. Most respondents reported rejection of formed stool for CDI testing, but few reported rejection of testing in infants and patients taking laxatives, suggesting these may be areas of opportunity for laboratories to pursue in improving CDI testing practices.

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Publication Details

Journal
Archives of Pathology & Laboratory Medicine
Published
2024-08-05
DOI
https://doi.org/10.5858/arpa.2023-0434-cp
Citations
1
Primary Topic
Clostridium difficile and Clostridium perfringens research
Type
article
Field-Weighted Citation Impact
0.39
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article

High Prevalence of Multistep Algorithms in Diagnostic Clostridioides difficile Laboratory Testing

Rhona J. Souers, Carol A. Rauch, Robin Rolf, Daniel D. Rhoads et al.
1 citations
Archives of Pathology & Laboratory Medicine
Clostridium difficile and Clostridium perfringens research
0.39
article

High Prevalence of Multistep Algorithms in Diagnostic Clostridioides difficile Laboratory Testing

Rhona J. Souers, Carol A. Rauch, Robin Rolf, Daniel D. Rhoads, Dylan R. Pillai, Patricia J. Simner, Kaede V. Sullivan, Christina Wojewoda, Erica Hillesland
article en
1 citations

Abstract

Multistep algorithms for CDI diagnosis are widely used in line with published recommendations. Most respondents reported rejection of formed stool for CDI testing, but few reported rejection of testing in infants and patients taking laxatives, suggesting these may be areas of opportunity for laboratories to pursue in improving CDI testing practices.

Archives of Pathology & Laboratory MedicineVol. 149(5)
Cleveland Clinic (US), Johns Hopkins University (US), College of American Pathologists (US), University of Calgary (CA), Vanderbilt University (US), Johns Hopkins Medicine (US), University of Vermont Medical Center (US), Cleveland Clinic Lerner College of Medicine (US), Calgary Laboratory Services (CA), Temple University Health System (US), Temple University (US)
Openalex Percentile: Top 38%
Clostridium difficile and Clostridium perfringens research
0.39
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High Prevalence of Multistep Algorithms in Diagnostic <i>Clostridioides difficile</i> Laboratory Testing — Rhona J. Souers, Carol A. Rauch, et al. · Archives of Pathology & Laboratory Medicine (2024) | TGRS Research Map | TGRS