Decoding clinical heterogeneity and age-related coronary risk in incomplete Kawasaki disease: a multicenter cluster analysis and structural equation modeling study.

doi:10.3389/fimmu.2026.1908370

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Article

Decoding clinical heterogeneity and age-related coronary risk in incomplete Kawasaki disease: a multicenter cluster analysis and structural equation modeling study.

Frontiers in immunology - 1 Jan 2026

Liu Chang, Liu Dong, Li Bin, Xu Yanxia, Tan Zhongyou, Chen Ouyang, Yang Yanfeng, Si Feifei, Jiang Wenliang, Yi Qijian, Jing Fengchuan

Abstract excerpt

Objectives: To identify pretreatment clinical subphenotypes in incomplete Kawasaki disease (iKD) and examine their associations with post-IVIG coronary outcomes. Methods: We retrospectively analyzed 1,619 iKD patients from six centers. Hierarchical clustering was performed using 11 pretreatment clinical and laboratory variables, with coronary measures excluded from cluster derivation. Post-IVIG coronary outcomes...

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Topics

Humans
Mucocutaneous Lymph Node Syndrome
Female
Male
Cluster Analysis
Retrospective Studies

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Coronary Aneurysm

Infant

Child, Preschool

Age Factors

Immunoglobulins, Intravenous

Clustering Algorithms

Risk Factors

Latent Class Analysis

Phenotype

Child

Source

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Identifiers

PMID: 42770018
DOI: 10.3389/fimmu.2026.1908370
PMCID: PMC13592195

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