医学
血压
心肌梗塞
内科学
心脏病学
置信区间
比例危险模型
冲刺
混淆
临床试验
随机对照试验
相对风险
试验预测值
心血管事件
风险评估
风险因素
线性回归
前瞻性队列研究
心血管健康
物理疗法
回归分析
作者
Wenbo Zhao,Yue Qiao,Lupei Cai,Eric L. Harshfield,Zihan Sun,Robin Brown,Junwei Hao,X L Ji,Hugh S. Markus
标识
DOI:10.1093/eurheartj/ehag330
摘要
BACKGROUND AND AIMS: Blood pressure variability (BPV) is associated with cardiovascular risk and has been shown to confer prognostic information independent of mean blood pressure (BP). However, the consistency of its incremental predictive value across different clinical settings and populations warrants further investigation. A patient-level pooled analysis of two large randomized trials (SPRINT and ACCORD) was conducted to clarify the association between BPV and major cardiovascular events (MCEs). METHODS: Visit-to-visit BPV was calculated from Month 3 onwards using multiple metrics (including variation independent of mean, VIM) in participants with ≥3 visits. Associations between BPV and MCEs (myocardial infarction, stroke, or cardiovascular death) were assessed using Cox regression and restricted cubic splines. RESULTS: Among 18 415 participants (median 12 BP measurements; 3.6-year follow-up), 1244 (6.8%) experienced MCEs. After multivariable adjustment, higher SBP-VIM (highest vs lowest tertile) was associated with a greater risk of MCEs (hazard ratio 1.15, 95% confidence interval 1.00-1.32), with similar associations for myocardial infarction and cardiovascular death. Restricted cubic spline analyses revealed a J-shaped relationship between SBP-VIM and cardiovascular outcomes (all P < .05). The prognostic value of SBP-VIM was comparable to mean SBP. These findings were consistent across alternative BPV metrics and intensified with extended follow-up. CONCLUSIONS: Visit-to-visit BPV was independently associated with the risk of MCEs, particularly myocardial infarction and cardiovascular death, with a J-shaped relationship indicating that both low and high BPV may be harmful. This association was independent of mean BP and comparable in prognostic value, underscoring the need to determine optimal BPV targets and explore potential BPV-modulating interventions.
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