A predictive model and nomogram for coronary artery injury in Kawasaki disease based on laboratory indicators: a retrospective study - Summary - MDSpire
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A predictive model and nomogram for coronary artery injury in Kawasaki disease based on laboratory indicators: a retrospective study
To explore the predictive value of routine laboratory indicators for typical/incomplete Kawasaki disease (KD) and coronary artery lesions (CAL), and to construct reliable predictive models and nomograms for early screening and risk stratification.
Key Findings:
Total protein (TP) was the only independent factor differentiating typical from incomplete KD.
Hypoalbuminemia, hyponatremia, and elevated lactate dehydrogenase (LDH) were identified as independent risk factors for KD with CAL, with hypoalbuminemia being the strongest predictor (OR = 0.783, P = 0.001).
The predictive model for typical KD had an AUC of 0.762, while the CAL predictive model had an AUC of 0.790.
Interpretation:
The study confirms the clinical utility of routine laboratory indicators in differentiating KD phenotypes and predicting CAL risk, providing a quantitative tool for early diagnosis and treatment.
Limitations:
Retrospective design may introduce selection bias.
The study was conducted in a single center, limiting generalizability.
Conclusion:
The developed predictive models and nomograms can facilitate early identification and risk stratification of incomplete KD and CAL, particularly in primary care settings with limited resources.
