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

发表杂志：Journal of Hypertension

发表类型: Original Contributions

影响因子(IF): 4.844

PMID: 29517558 Pubmed原文链接 全文下载

Hypertension is one of the most prevalent chronic diseases worldwide, and has been acknowledged as a major risk factor for cardiovascular and cerebrovascular events. There is a linear association between high blood pressure (BP) levels and incidence of cardiovascular and cerebrovascular events and all-cause death. Most studies that have examined the association between hypertension and all-cause death have used a single measurement or the average of BP levels assessed over a certain time frame. Results from such approaches have suggested that risk of all-cause death increases with increasing BP levels. However, a single BP measurement may not be sufficient to characterize long-term all-cause death risk prediction. Individuals experience differing BP levels throughout their life; therefore, change in BP over time is an important risk factor warranting consideration. Recently, an assessment of trajectory has been used to reflect long-term BP patterns. BP trajectories may indeed have stronger ability than conventional means to predict all-cause death. To date, few studies have indicated that long-term BP trajectories were the most robust predictors of all-cause death. Moreover, the rapidly increasing BP trajectory pattern was found to represent higher risk of all-cause death than a gradually increased pattern after mid-to-late life. In addition, the aforementioned studies were carried out in North America and Europe and the number had come from longitudinal cohort studies on the connection of different BP trajectories with future all-cause death outcome.Such studies in a general Chinese population are limited. Therefore, our study aimed to investigate the long-term trajectories of SBP in a large prospective population-based cohort study of approximately 80 000 Chinese men and women, and to examine the risk of all-cause death with those trajectories. The present study focused on SBP in relation to all-cause death because SBP is superior to DBP in predicting all-cause death.

We used a community-based cohort of 84 363 participants without myocardial infarction, stroke, or cancer, in 2010. SBP trajectories used latent mixture modeling with data from 2006, 2008, and 2010. Cox proportional hazards models were used to examine the association between SBP trajectories and risk of all-cause death in 2010–2015.