ArticleFrontiers in pediatrics2026
A predictive model and nomogram for coronary artery injury in Kawasaki disease based on laboratory indicators: a retrospective study.
Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
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Corrections and comments
- Erratum issued
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9 authors.
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Abstract
Background: To explore the changes in various laboratory parameters in children with Kawasaki disease, analyze their correlations with complete and incomplete Kawasaki disease as well as coronary artery lesions and non-coronary artery lesions, and establish prediction models and nomograms. Objective: Incomplete Kawasaki disease (IKD) is prone to misdiagnosis, and coronary artery lesion (CAL) represents its severe complication. This study aimed to explore the predictive value of routine laboratory indicators for typical/incomplete KD and CAL, and to construct reliable predictive models and nomograms, thereby providing quantitative tools for early screening and risk stratification in primary clinical practice. Methods: A total of 131 children with confirmed Kawasaki disease (KD) from January 2023 to June 2025 were retrospectively enrolled, who were assigned to the TKD group ( Result: Total protein (TP) was the only independent factor for differentiating typical from IKD; hypoalbuminemia, hyponatremia, and elevated lactate dehydrogenase (LDH) were identified as independent risk factors for KD complicated with CAL, with hypoalbuminemia being the strongest predictor (OR = 0.783, Conclusion: This study confirmed the clinical value of routine laboratory indicators in phenotypic differentiation of KD and risk prediction of CAL. The constructed predictive models and visual nomograms feature convenient detection and simple operation, which can provide practical references for the early precise diagnosis and treatment of KD and the prevention and control of CAL risk, and are particularly suitable for primary medical institutions with limited diagnostic resources.
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