伴随性疾病的老年患者的分类及其亚型:数据驱动的集群分析
Xiuqi Qiao1,2, Xinda Chen3, Weihao Wang1
1Department of Endocrinology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Clinical interventions in aging
|October 9, 2025
概括
这项研究使用关键健康指标将多种慢性疾病的老年患者分为四种不同的亚型. 这些分类揭示了疾病患病率的显著差异,有助于了解老年人复杂的健康状况.
科学领域:
- 老年学是指老年学的学科.
- 内部医学 内部医学
- 数据科学数据科学数据科学
背景情况:
- 在老年患者中,多病症很常见.
- 了解疾病异质性对于有效管理至关重要.
研究的目的:
- 将多病症的老年患者分为不同的亚组.
- 确定患有特定相关疾病更高患病率的子组.
主要方法:
- 对60岁以上具有并发性疾病的个体进行了K-means聚类.
- 聚类变量包括体重指数 (BMI),内在容量 (IC),低密度脂蛋白胆固醇 (LDL-c),禁食血葡萄糖 (FPG) 和静脉血压 (SBP).
- 后勤回归比较了已识别的集群中的疾病流行率.
主要成果:
- 从350名参与者中确定了四种不同的多病症老年患者亚型.
- 亚型在BMI,IC,LDL-c,FPG和SBP方面有所不同.
- 集群4显示高血压,虚弱,骨质疏松症和肉症的患病率较高;集群3和4有较高的冠心病患病率.
结论:
- 在患有多种疾病的老年患者中存在显著的病理生理异质性.
- 这种数据驱动的分类为了解疾病复杂性的基础.
- 需要进一步的研究来评估这些分类的临床实用性.
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