不同血压状态人群的长期血压变化和心血管疾病风险:一项前瞻性队列研究。

IF 1.2 4区 医学 Q4 PERIPHERAL VASCULAR DISEASE
Blood Pressure Monitoring Pub Date : 2024-10-01 Epub Date: 2024-06-21 DOI:10.1097/MBP.0000000000000712
Jinnan Li, Ting Qu, Ying Li, Pengcheng Li, Benmai Luo, Yue Yi, Aibin Shi, Zhixin Pang, Yuting Chu, Yuxin Zhao, Li Yang, Shaopeng Xu, Juan Xie, Hong Zhu
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引用次数: 0

摘要

目的我们旨在研究不同血压状态(正常血压、控制良好的高血压和未控制的高血压)人群的长期血压变异性(BPV)与心血管疾病(CVDs)风险之间的相关性:在这项前瞻性队列研究中,2017年4月至2017年5月期间,中国天津市两个社区卫生服务中心(CHC)连续招募了50岁以上无心血管疾病的居民。研究人员从社区卫生服务中心的电子病历中回顾性提取了2010年1月至2017年5月期间的血压信息,并在随访至2019年9月期间对新发心血管疾病的发生情况进行了前瞻性观察。采用四项指标评估SBP和DBP的长期变化:SD、变异系数(CV)、平均连续变异系数(ASV)和平均实际变异系数(ARV)。建立了 Cox 比例危险回归模型,以确定 BPV 对心血管疾病发病率的潜在影响。利用接收器操作特征曲线(ROC)评估血压变异指标对心血管疾病发生的预测价值:结果:在纳入的 1275 名参与者中,有 412 人(32.3%)在中位 7.7 年的随访期间经历了新的心血管疾病事件,整个队列的发病密度为 499/10,000人年。Cox回归分析表明,几乎所有的SBP和DBP变异性指标(SBP-SD除外)都与心血管疾病风险显著相关,尤其是在高血压控制良好的人群中。此外,还观察到不同血压变异性四分位数的心血管疾病风险呈上升趋势。BPV 的预测能力适中,ROC 曲线下面积介于 0.649 和 0.736 之间。对于 SBP 变异,SD 的预测能力最低,而对于 DBP 变异,ARV 的预测能力最低。在所有分析中,无论是连续变量还是分类变量,均未发现心血管疾病与 SBP-SD 有明显关联:结论:长期血压变异性升高与心血管疾病风险增加有关,尤其是在高血压控制良好的人群中。CV和ASV的预测值高于SD和ARV。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-term blood pressure variability and risk of cardiovascular diseases in populations with different blood pressure status: an ambispective cohort study.

Objective: We aimed to investigate the correlation between long-term blood pressure variability (BPV) and the risk of cardiovascular diseases (CVDs) among population with different blood pressure statuses (normotension, well-controlled hypertension, and uncontrolled hypertension).

Methods: In this ambispective cohort study, CVD-free residents aged over 50 years were consecutively enrolled from two community health service centers (CHCs) in Tianjin, China from April 2017 to May 2017. Information on blood pressure was retrospectively extracted from electronic medical records of CHCs between January 2010 and May 2017, and the occurrence of new-onset CVDs was prospectively observed during follow-up until September 2019. Long-term variation of SBP and DBP was assessed using four indicators: SD, coefficient of variation (CV), average successive variability (ASV), and average real variability (ARV). Cox proportional hazards regression model was developed to identify the potential impact of BPV on the incidence of CVDs. The receiver operating characteristic curve (ROC) was utilized to evaluate the predictive value of BPV indicators for the occurrence of CVDs.

Results: Of 1275 participants included, 412 (32.3%) experienced new CVD events during the median 7.7 years of follow-up, with an incidence density of 499/10 000 person-year in the whole cohort. Cox regression analysis revealed that almost all SBP and DBP variability indicators (except for SBP-SD) were significantly related to the risk of CVDs, especially among individuals with well-controlled hypertension. A trend toward an increased risk of CVDs across BPV quartiles was also observed. Moderate predictive abilities of BPV were observed, with the area under ROC curves ranging between 0.649 and 0.736. For SBP variability, SD had the lowest predictive ability, whereas for DBP variability, ARV had the lowest predictive ability. No significant association of CVDs with SBP-SD was found in all analyses, no matter as a continuous or categorical variable.

Conclusion: Elevated long-term BPV is associated with an increased risk of CVDs, especially among individuals with well-controlled hypertension. CV and ASV had higher predictive values than SD and ARV.

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来源期刊
Blood Pressure Monitoring
Blood Pressure Monitoring 医学-外周血管病
CiteScore
2.00
自引率
7.70%
发文量
110
审稿时长
>12 weeks
期刊介绍: Blood Pressure Monitoring is devoted to original research in blood pressure measurement and blood pressure variability. It includes device technology, analytical methodology of blood pressure over time and its variability, clinical trials - including, but not limited to, pharmacology - involving blood pressure monitoring, blood pressure reactivity, patient evaluation, and outcomes and effectiveness research. This innovative journal contains papers dealing with all aspects of manual, automated, and ambulatory monitoring. Basic and clinical science papers are considered although the emphasis is on clinical medicine. Submitted articles undergo a preliminary review by the editor. Some articles may be returned to authors without further consideration. Those being considered for publication will undergo further assessment and peer-review by the editors and those invited to do so from a reviewer pool.
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