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News for Healthier Living
Age-Specific Models Sharpen Early Diagnosis of Incomplete Kawasaki Disease
Incomplete Kawasaki disease (IKD) remains hard to recognize because it often lacks the classic signs of complete Kawasaki disease (CKD), yet delayed diagnosis can lead to coronary artery damage. A new data-mining study has developed age-specific prediction models that combine routine laboratory markers to estimate the probability of IKD in children with fever. The models were built for three age bands--0-24 months, 24-60 months, and older than 60 months--and validated in separate datasets. The work identifies uric acid (UA) as a new independent risk factor and shows that age-tailored models can improve early diagnostic support, especially in infants and toddlers.
November 2, 2026
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