Early risk stratification for coronary artery aneurysms in Kawasaki disease: a predictive modeling approach.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 42086940.
- Also identified by DOI 10.1038/s41390-026-05073-6.
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Abstract
Medium-to-giant coronary artery aneurysms (MGCAA) are the most serious complication of Kawasaki disease. Early prediction is difficult with current risk scores lacking validation and not designed for MGCAA. A transparent model uses six clinical variables (hemoglobin, diagnosis time, mucosal changes, rash, triglycerides, neutrophil percentage), validated in two Chinese cohorts with simple recalibration for broader use. A web tool offers personalized risk assessments to guide monitoring and follow-up, supporting clinical decisions without fixed treatment thresholds.