Journal of Inflammation Research (Jan 2025)
A Nomogram Model for Predicting Recurrent Coronary Thrombosis in Kawasaki Disease Patients
Abstract
Xue Zhou,1– 4 Yue Peng,1– 4,* Qijian Yi1– 4,* 1Department of Cardiovascular Medicine, Children’s Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 2National Clinical Research Center for Child Health and Disorders, Children’s Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 3Ministry of Education Key Laboratory of Child Development and Disorders, Children’s Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 4Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing,People’s Republic of China*These authors contributed equally to this workCorrespondence: Qijian Yi, Email [email protected]: Coronary thrombosis is a serious cardiovascular complication of Kawasaki disease (KD), and recurrence of coronary thrombosis increases the short-term risk of myocardial infarction and the long-term risk of coronary artery disease. However, there are currently no studies predicting the recurrence of coronary thrombosis, so the aim of this study was to develop and validate a nomogram to predict recurrent coronary thrombosis in KD patients.Methods: This was a retrospective study of data from 149 KD patients who had a history of previous coronary disease at the Children’s Hospital of Chongqing Medical University from 2013 to 2020. Independent risk factors were identified using univariate and multivariate logistic regression analyses, and a nomogram was constructed to predict recurrent coronary thrombosis.Results: Multivariate analysis showed that large coronary artery aneurysm(CAA) (Odds Ratio [OR] 4.28; 95% Confidence Interval [CI] 1.39– 13.12), saccular CAA (OR 5.03; 95% CI 1.55– 16.29), first left anterior descending (LAD) thrombosis (OR 3.90; 95% CI 1.20– 12.63), and persistent CAA (OR 43.27; 95% CI 12.23– 153.12) were independent risk factors for recurrent coronary thrombosis. Based on these variables, a nomogram was constructed. The Area Under the Curve (AUC) of the nomogram was 0.943, and tenfold cross-validation (200 replicates) showed an average AUC of 0.929. Furthermore, the nomogram not only presented a favorable calibration curve but also demonstrated practical clinical utility.Conclusion: Large CAA, saccular CAA, first LAD thrombosis and persistent CAA were independent risk factors for recurrent coronary thrombosis. The nomogram can visually show these independent risk factors and predict probabilities.Keywords: Kawasaki disease, recurrent coronary thrombosis, nomogram, predictive value, logistic regression analysis
