美国高血压表型和死亡风险:数据驱动的集群分析
Rodrigo M Carrillo-Larco1,2, Jithin Sam Varghese1,2, Arshed Quyyumi3
1Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, USA, emory.edu.
International journal of hypertension
|January 1, 2026
概括
这项研究在成年人中确定了四种不同的高血压表型. 与葡萄糖相关的高血压显示出最高的死亡风险,强调了个性化高血压管理的必要性.
科学领域:
- 心血管医学 心血管医学
- 临床流行病学临床流行病学
- 生物统计学 生物统计学
背景情况:
- 高血压是全球主要的死亡原因,目前的治疗方法缺乏个性化.
- 现有的血压分类不能完全捕捉高血压的生物异质性.
- 治疗结果的变化表明高血压亚型的潜在差异.
研究的目的:
- 为了确定初级高血压的数据驱动的临床表型.
- 检查这些已识别的表型与死亡风险之间的关联.
主要方法:
- 对10项横截面调查 (NHANES 1999-2020) 的综合分析,包括4084名新诊断或未诊断高血压的成年人 (≥30岁).
- K-意味着对八个变量 (年龄,BMI,血压,胆固醇,HbA1c,eGFR) 的聚类来定义表型.
- 使用与国家死亡指数相关的数据评估的死亡风险 (所有原因和心血管).
主要成果:
- 确定了四种不同的表型:早期发作的高血压 (EOH),晚期发作的高血压 (LOH),与葡萄糖相关的高血压 (GRH) 和与脂质相关的高血压 (LRH).
- 与EOH相比,GRH (4.5%的队列) 呈现出最高的全因和心血管死亡风险.
- 与EOH相比,LOH和LRH的死亡风险没有显著不同.
结论:
- 数据驱动的集群分析成功地确定了四种高血压表型,具有不同的死亡风险.
- 这些发现强调了初级高血压的生物异质性及其对患者结果的影响.
- 鉴定的表型可能会为高血压诊断和管理提供更个性化的方法.
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