Establishment and Validation of a Machine‐Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra‐Abdominal Candidiasis in Septic Patients

Establishment and Validation of a Machine‐Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra‐Abdominal Candidiasis in Septic Patients

ABSTRACT This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical factors for the early and rapid prediction of Intra‐abdominal candidiasis (IAC) in septic patients. A prospective cohort study of 633 consecutive patients diagnosed with sepsis and intra‐abdominal...

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Bibliographic Details
Main Authors: Jiahui Zhang, Wei Cheng, Dongkai Li, Guoyu Zhao, Xianli Lei, Na Cui
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Clinical and Translational Science
Subjects:
intra‐abdominal candidiasis
lymphocyte subtyping
machine learning
nomogram
risk stratification
sepsis
Online Access:https://doi.org/10.1111/cts.70140
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https://doi.org/10.1111/cts.70140

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