在川崎病中预测中型-巨型冠状动脉动脉瘤的预测因素
Saitong Jiang1,2, Meng Li2, Kun Xu1,2
1Shantou University Medical College, Shantou, Guangdong, China.
Pediatric research
|September 5, 2023
概括
这项研究确定了川崎病 (KD) 患者冠状动脉动脉瘤 (CAA) 的关键预测因子,开发了一种新的风险评分系统. 该模型有效预测中型巨型CAA和巨型CAA,有助于早期临床干预.
科学领域:
- 心脏病学 心脏病学
- 儿科 儿科 儿科
- 类风湿病学 类风湿病学
背景情况:
- 川崎病 (KD) 可以导致冠状动脉动脉瘤 (CAA).
- 确定中型和巨型CAA的预测措施对于患者管理至关重要.
研究的目的:
- 检查KD患者中等和巨型CAA的预测措施.
- 开发和验证中型巨型和巨型CAA的风险预测模型.
主要方法:
- 在2015-2021年期间诊断出1331名KD患者的回顾性审查.
- 中型巨型和非中型巨型CAA组之间的临床和实验室数据的比较.
- 多变量逻辑回归分析以确定独立预测因素.
主要成果:
- 63名患者 (4.7%) 患有中型巨型CAA;27人 (2%) 患有巨型CAA.
- 中型巨型CAA的独立预测因素包括男性性别,年龄,发烧持续时间,IVIG抗性,血小板计数和白蛋白.
- 巨型CAA的预测因素包括男性性别,年龄,发烧持续时间,IVIG抗性,血小板计数,血红蛋白和ESR.
- 开发的评分系统显示了高灵敏度 (86.89%的中型巨型, 92.59%的巨型) 和特异性 (81.65%的中型巨型, 87.93%的巨型).
结论:
- 男性的性别,年龄,发烧持续时间,IVIG耐药性,血小板计数,白蛋白,血红蛋白和ESR是中等和巨型CAA的重要预测因素.
- 与以前的研究相比,开发的风险预测模型显示出更高的灵敏度和特异性.
- 这项研究为临床医生提供了一种有价值的工具,可以预测中型巨型CAA,并指导中国人口的治疗决策.
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