Department of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan.
Teikyo University Graduate School of Public Health, Tokyo, Japan.
Hypertens Res. 2021 Aug;44(8):1017-1025. doi: 10.1038/s41440-021-00654-w. Epub 2021 May 14.
Increased visit-to-visit variability (VVV) of blood pressure, which is calculated based on several readings, has been suggested to be a significant predictor of cardiovascular events and mortality, independent of mean blood pressure. This study examined associations between the VVV of systolic blood pressure (SBP) measured annually and cardiovascular disease (CVD) events among 72,617 Japanese subjects. Data were obtained from the Japan Epidemiology Collaboration on Occupational Health Study, which is an ongoing epidemiological survey of workers in Japan. VVV was calculated as the coefficient of variation of SBP readings from 2008 to 2011; information on fatal and nonfatal CVD events was collected from registries of specific outcomes between April 2012 and March 2019. A Cox proportional hazards model was applied to investigate associations after adjusting for mean SBP between 2008 and 2011 and covariates. During the 7-year follow-up period, there were 63 CVD fatalities and 314 CVD events (combining fatal and nonfatal events). The results showed that a one-standard deviation increase in VVV was associated with a significant increase in the risk of CVD mortality (hazard ratio [HR] = 1.42; 95% confidence interval [CI] = 1.32-1.54); those in the highest tertile had a 3.20 times (95% CI = 1.26-8.17) higher risk of CVD mortality than those in the lowest tertile. We found less pronounced associations regarding CVD events (HR = 1.08, 95% CI = 1.02-1.15). In conclusion, VVV was significantly associated with CVD mortality in our Japanese working population.
血压的变异性(VVV)增加,这是基于多次读数计算得出的,它被认为是心血管事件和死亡率的一个重要预测因素,独立于平均血压。这项研究检查了每年测量的收缩压(SBP)的 VVV 与 72617 名日本受试者的心血管疾病(CVD)事件之间的关联。数据来自日本职业健康研究的日本流行病学合作研究,这是一项针对日本工人的正在进行的流行病学调查。VVV 是通过 2008 年至 2011 年 SBP 读数的变异系数计算得出的;2012 年 4 月至 2019 年 3 月期间,从特定结局的登记处收集了致命和非致命 CVD 事件的信息。在调整了 2008 年至 2011 年之间的平均 SBP 和协变量后,应用 Cox 比例风险模型进行了关联分析。在 7 年的随访期间,发生了 63 例 CVD 死亡和 314 例 CVD 事件(致命和非致命事件合并)。结果表明,VVV 每增加一个标准差,CVD 死亡的风险显著增加(风险比[HR] = 1.42;95%置信区间[CI] = 1.32-1.54);最高 tertile 组的 CVD 死亡率是最低 tertile 组的 3.20 倍(95% CI = 1.26-8.17)。我们发现与 CVD 事件的关联程度较低(HR = 1.08,95% CI = 1.02-1.15)。总之,VVV 与我们日本劳动人口的 CVD 死亡率显著相关。