Progression prediction of coronary artery lesions by echocardiography-based ultrasomics analysis in Kawasaki disease.

ABSTRACT:

Background

Echocardiography-based ultrasomics analysis aids Kawasaki disease (KD) diagnosis but its role in predicting coronary artery lesions (CALs) progression remains unknown. We aimed to develop and validate a predictive model combining echocardiogram-based ultrasomics with clinical parameters for CALs progression in KD.

Methods

Total 371 KD patients with CALs at baseline were enrolled from a retrospective cohort (cohort 1, n = 316) and a prospective cohort (cohort 2, n = 55). CALs progression was defined by increased Z scores in any coronary artery branch at the 1-month follow-up. Patients in cohort 1 were split randomly into training and validation set 1 at the ratio of 6:4, while cohort 2 comprised validation set 2. Clinical parameters and ultrasomics features at base

SUBMITTER: Xu D 

PROVIDER: S-EPMC11412030 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature