Development and validation of a clinical prediction model for Clostridioides difficile associated diarrhea

A new diagnostic prediction model for CDAD was established. Clinicians can use the nomogram to initially assess the likelihood of CDAD when the patient suffers diarrhea, to ensure timely specific laboratory tests, and appropriate diagnostic and treatment measures.

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Publication Details

Journal
The Journal of Infection in Developing Countries
Published
2025-05-31
DOI
https://doi.org/10.3855/jidc.20006
Primary Topic
Clostridium difficile and Clostridium perfringens research
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a clinical prediction model for Clostridioides difficile associated diarrhea

Lei Huang, Genyan Liu, Jun Zhou, Ruiying Zheng et al.
The Journal of Infection in Developing Countries
Clostridium difficile and Clostridium perfringens research
article

Development and validation of a clinical prediction model for Clostridioides difficile associated diarrhea

Lei Huang, Genyan Liu, Jun Zhou, Ruiying Zheng, Zhixin Shi, Hongzhou Luan, Xin Hong
article en

Abstract

A new diagnostic prediction model for CDAD was established. Clinicians can use the nomogram to initially assess the likelihood of CDAD when the patient suffers diarrhea, to ensure timely specific laboratory tests, and appropriate diagnostic and treatment measures.

The Journal of Infection in Developing CountriesVol. 19(05)
Northern Jiangsu People's Hospital (CN), Nanjing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 84%
Clostridium difficile and Clostridium perfringens research
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Development and validation of a clinical prediction model for Clostridioides difficile associated diarrhea — Lei Huang, Genyan Liu, et al. · The Journal of Infection in Developing Countries (2025) | TGRS Research Map | TGRS