国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

Association of visit-to- visit blood pressure variability with the risk of all-cause mortality and cardiovascular events in general population

第一作者:Liye Dai

通讯作者:Yongun Wang

blood pressure variability all-cause death cardiov

基本信息

  • 负责人:Liye Dai
  • 数据来源: Kailuan Study
  • 论文编号:KAILUAN STUDY20190063
  • 发表时间:2017-11-16

2017-11-16

已发表文章

发表杂志:J Clin Hypertens

发表类型: Original Contributions

影响因子(IF): 3.738

PMID: 29457332 Pubmed原文链接 全文下载

主要研究背景及目的

The association between blood pressure variability (BPV) and the risk of all-cause mortality and cardiovascular diseases (CVD) is not well understoodIn this study, we performed a prospective cohort study to examine the potential associations between BP variability and the risk of all-cause mortality and CVD in the Chinese general population.

方法

The Kailuan study is a prospective longitudinal cohort study on cerebrovascular events and cardiovascular factors. In this study, resting blood pressure was measured at baseline and every 2 years from 2006 to 2007. BPV is mainly defined as the coefficient of variation (CV). Hazard ratio (HR), with 95% confidence intervals (CI) was calculated using Cox regression model.

结论

We concluded that visit-to- visit BPV was associated with all-cause death and cardiovascular and cerebrovascular events in Chinese general population.

主要结果

Among 52 387 participants, we identified 1817 who ended up with all-cause death and 1198 with CVD. Each 4.68% increase in BPV was associated with a 13% increase in the risk of mortality (HR = 1.13, 95% CI = 1.09-1.18) and a 7% increase in CVD (HR = 1.07, 95% CI = 1.02-1.13), respectively. After adjustment of confounding factors, the HR of comparing participants in the highest versus lowest quartile of CV of systolic blood pressure (SBP) was 1.37 (1.19, 1.57) for all-cause death, 1.18 (1.01, 1.39) for CVD. Similar results were also observed when BPV was measured by different parameters.