Seasonal Variation in Day-by-Day Home Blood Pressure Variability and Effect on Cardiovascular Disease Incidence

医学 四分位数 早晨 血压 危险系数 变异系数 混淆 内科学 入射(几何) 风险因素 冠状动脉疾病 前瞻性队列研究 心脏病学 人口学 置信区间 统计 社会学 物理 光学 数学
作者
Keisuke Narita,Satoshi Hoshide
出处
期刊:Hypertension [Lippincott Williams & Wilkins]
卷期号:79 (9): 2062-2070 被引量:14
标识
DOI:10.1161/hypertensionaha.122.19494
摘要

Although day-by-day home blood pressure (BP) variability (BPV) has been associated with cardiovascular disease (CVD) risk, it remains unclear whether this association differs from season to season. The present study aimed to assess seasonal variation in day-by-day home BP variability and its association with CVD risk.We analyzed the data from a nationwide, prospective observational study, the J-HOP study (Japan Morning Surge-Home Blood Pressure), in which 14 consecutive days of home BP monitoring were conducted. The values of SD (SDsystolic BP [SBP]), coefficient of variationSBP, and average real variabilitySBP of home SBP were used as indices of day-by-day home BPV.Among 4231 participants (mean age, 64.9±10.9 years, 46.7% male, 91.5% hypertensives), all 3 day-by-day home BPV indices were lower in summer than winter after adjusting for confounding factors. In winter, SDSBP, coefficient of variationSBP, and average real variabilitySBP were significantly associated with increased risk of CVD events (coronary artery disease, stroke, heart failure, and aortic dissection; adjusted hazard ratio [95%CI] per 1-SD of SDSBP, 1.26 [1.02-1.54]; coefficient of variationSBP, 1.24 [1.02-1.52]; average real variabilitySBP, 1.44 [1.17-1.77]). These relationships were also observed in the analysis of quartiles of BPV parameters (adjusted hazard ratio [95%CI] compared to the first quartile, fourth quartile of SDSBP 2.26 [1.06-4.85]; coefficient of variationSBP 2.96 [1.43-6.15]; average real variabilitySBP 2.73 [1.25-5.93]). In other seasons, however, there were no significant associations between day-by-day home BPV and CVD event risk.Our findings indicate that day-by-day home BPV measured in winter is more strongly associated with future CVD incidence than that measured in other seasons.
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