A predictive model and nomogram for coronary artery injury in Kawasaki disease based on laboratory indicators: a retrospective study - Takeaways - MDSpire

A predictive model and nomogram for coronary artery injury in Kawasaki disease based on laboratory indicators: a retrospective study

  • By

  • Yanyan Li

  • Zhiqing Chen

  • Xiaoyan Wang

  • Chaolong Zheng

  • Ziyang Cui

  • Sisi Cheng

  • Limin Chu

  • Changjun Ren

  • Guiling Liu

  • April 30, 2026

  • 0 min

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  • 1

    This study analyzed laboratory parameters in 131 children with Kawasaki disease to differentiate between typical and incomplete forms.

  • 2

    Hypoalbuminemia, hyponatremia, and elevated LDH were identified as independent risk factors for coronary artery lesions in Kawasaki disease.

  • 3

    The predictive model for typical Kawasaki disease achieved an AUC of 0.762, while the model for coronary artery lesions reached 0.790.

  • 4

    Constructed nomograms provide a user-friendly tool for early screening and risk stratification of Kawasaki disease and coronary artery lesions.

  • 5

    Routine laboratory indicators can enhance early diagnosis and treatment of incomplete Kawasaki disease and help prevent coronary artery complications.

Original Source(s)

A predictive model and nomogram for coronary artery injury in Kawasaki disease based on laboratory indicators: a retrospective study

  • by Yanyan Li, Zhiqing Chen, Xiaoyan Wang, Chaolong Zheng, Ziyang Cui, Sisi Cheng, Limin Chu, Changjun Ren, Guiling Liu

  • April 30, 2026

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