Unknown

Dataset Information

Development and validation of an early predictive model for coronary artery lesions in incomplete Kawasaki disease.


ABSTRACT:

Background

The incidence of incomplete Kawasaki disease (IKD) has been rising, and it is associated with a higher risk of coronary artery lesions (CALs); however, the underlying reasons remain unclear. This study conducted a comparative analysis of the clinical data of children in the IKD and complete Kawasaki disease (CKD) groups, and aimed to determine risk factors associated with CAL in children diagnosed with IKD through least absolute shrinkage and selection operator (LASSO)-logistic regression, and to develop a predictive model for CAL occurrence in this population.

Methods

Clinical records of IKD patients admitted to Xuzhou Children's Hospital between January 2021 and December 2023 were retrospectively analyzed. Based on diagnostic criteria, subjects were classified i

SUBMITTER: Xu Y 

PROVIDER: S-EPMC12683491 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature