使用基于电子医院记录的集群模型,精确地绘制儿科扩张性心肌病的现象映射
Xihang Fu1, Zubo Wu2, Jiawei Shi3
1Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13, Hangkong Road, Wuhan, Hubei 430030, China.
International journal of cardiology
|March 10, 2025
概括
这项研究确定了两种不同类型的儿科扩张性心肌病 (PDCM). 一种亚型表现出较轻微的症状,而另一种表现出严重的左心室功能障碍和更差的预后,指导量身定制的治疗策略.
科学领域:
- 心脏病学 心脏病学
- 儿科医学 儿科医学
- 遗传学 遗传学 是一个
背景情况:
- 儿科扩张性心肌病 (PDCM) 是一种复杂且具有挑战性的疾病.
- PDCM的异质性需要识别不同的亚型,以改善临床结果.
研究的目的:
- 确定PDCM的临床相关亚型.
- 评估已确定PDCM亚型的预后影响.
- 引导PDCM个性化治疗策略.
主要方法:
- 利用来自电子医院记录的279个异态PDCM病例的多中心回顾性队列.
- 采用了六个对异质数据的聚类模型来识别PDCM亚型,Kamila模型被选为最佳.
- 应用多变量Cox模型来评估PDCM亚型与不良临床事件之间的关联,并开发了一个临床分类器.
主要成果:
- 确定了两个最佳的PDCM表型:I组 (婴儿/幼儿,尺寸较大,轻微的LV静脉缩功能障碍) 和II组 (老年儿童,严重的LV静脉缩功能障碍,减少LV壁厚度,较高的膜反/失常率).
- 与I组相比,II组的无事件生存率明显较低 (HR=8.096,P=0.002).
- 一个有条件干扰树模型,其中五个参数准确地区分了PDCM亚型.
结论:
- 不同的PDCM亚型具有独特的临床特征和不同的不良预后风险.
- 这些已识别的亚型可能对当前疗法有不同的反应,为精确管理铺平了道路.
- 这些发现为病理学研究和PDCM个性化治疗提供了新的方向.
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