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一种用于预测川崎病患者冠状动脉病变的诺莫图

Wenjie Xuan¹, Yinping Yao, Yayun Wang

¹Department of Pediatrics, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, China.

|November 4, 2024

概括

川崎病 (KD) 患者长期发烧,C反应蛋白升高,血红蛋白/白蛋白降低,患冠状动脉病变 (CAL) 的风险更高. 一个预测模型有助于快速评估CAL风险.

科学领域:

儿科儿科儿科
心脏病学心脏病学
类风湿病学类风湿病学

背景情况:

川崎病 (KD) 是一种急性系统性血管炎,具有潜在的冠状动脉病变 (CAL).
凯德病的病因仍未确定,因此需要预测CAL风险的预测工具.

研究的目的:

构建和验证冠状动脉病变 (CAL) 的预测模型,用于川崎病 (KD) 患者.
确定KD中CAL发展的独立风险因素.

主要方法:

来自KD患者的临床和实验室数据的回顾性收集 (2016年1月 - 2023年6月).
在训练集上使用逻辑回归开发预测名录.
在验证集中使用校准和ROC曲线验证名ogram的性能.

主要成果:

年龄较小,发烧持续时间≥10天,C反应蛋白升高,血红蛋白/白蛋白降低是CAL的独立风险因素.
预测名录显示出良好的区分能力 (训练组中的AUC为0.764,验证组中的AUC为0.798).

结论:

结合五个关键风险因素的预测性名谱可以促进KD患者个性化CAL风险评估.
这种工具有助于临床医生在早期识别和管理有CAL风险的KD患者.

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