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Kawasaki disease (KD) is a systemic vasculitis of unknown etiology in children with coronary artery lesions (CALs) being its most concerning complication. Untimely diagnosis may lead to long-term cardiac damage and adult-onset cardiovascular disease. Researchers have long sought to identify risk factors for predicting high-risk CALs development in patients with KD. Domestic and international scholars have established scoring systems and predictive models to assess CAL risk based on these factors. This review summarized recent advances in four key areas: (1) Diagnostic prediction scoring systems; (2) Biomarker indicators; (3) Analytical methods; and (4) Predictive models for KD-associated cardiovascular complications, aiming to provide references for CAL prediction in KD.
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Zhou et al. (2026) studied this question.
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