心血管疾病中不同长期 (10年) 血压参数变化的预测值:前性队列研究
Yixiu Chen1,2, Hongmin Liu1, Mo Zhang1,3
1Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China.
American journal of preventive cardiology
|November 24, 2025
概括
血压变化增加,包括静脉压 (SBP),静脉压 (DBP) 和脉冲压 (PP),独立地增加心血管疾病 (CVD) 风险. 在中国-PAR模型中,SBP变化在预测心血管疾病风险方面提供了最显著的改进.
科学领域:
- 心脏病学 心脏病学
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 长期血压变化越来越被认为是心血管健康的重要因素.
- 了解缩血压 (SBP),腹缩血压 (DBP) 和脉冲压 (PP) 变化的独立预测值对于风险评估至关重要.
研究的目的:
- 为了比较长期SBP,DBP和PP可变性对发生心血管疾病 (CVD) 的预测能力.
- 评估血压变化的增量预测值,将其整合到已建立的中国-PAR风险预测模型中.
主要方法:
- 进行了一项前性队列研究,涉及44938名参与者.
- 在10年的时间里,根据SBP,DBP和PP的变化,参与者被分为四分之一.
- 考克斯比例危险回归和中国-PAR模型被用于评估心血管疾病风险预测.
主要成果:
- 较高的SBP,DBP和PP变量的四分位数与显著增加的心血管疾病风险有关 (HRs与最低四分位数相比在1.25至1.33之间).
- 将SBP,DBP和PP可变性纳入中国-PAR模型提高了其预测准确性,其中SBP可变性显示出最大的增强 (C指数分别为0.6866,0.6787,0.6822).
- 在所有测量措施中,观察到年龄和血压变化之间的显著相互作用.
结论:
- 在SBP,DBP和PP中长期变化的增加独立地预测了更高的心血管疾病风险,无论平均血压水平如何.
- 在中国-PAR模型中,静脉血压的变化显示出改善心血管疾病风险预测的能力最强.
- 血压变化是心血管事件的关键,独立的风险因素.
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