BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom.
Hypertension. 2013 Jul;62(1):190-6. doi: 10.1161/HYPERTENSIONAHA.111.00686. Epub 2013 May 6.
Very few studies have looked at longitudinal intraindividual blood pressure responses to weather conditions. There are no data to suggest that specific response to changes in weather will have an impact on survival. We analyzed >169 000 clinic visits of 16 010 Glasgow Blood Pressure Clinic patients with hypertension. Each clinic visit was mapped to the mean West of Scotland monthly weather (temperature, sunshine, rainfall) data. Percentage change in blood pressure was calculated between pairs of consecutive clinic visits, where the weather alternated between 2 extreme quartiles (Q(1)-Q(4) or Q(4)-Q(1)) or remained in the same quartile (Q(n)-Q(n)) of each weather parameter. Subjects were also categorized into 2 groups depending on whether their blood pressure response in Q(1)-Q(4) or Q(4)-Q(1) were concordant or discordant to Q(n)-Q(n). Generalized estimating equations and Cox proportional hazards model were used to model the effect on longitudinal blood pressure and mortality, respectively. Q(n)-Q(n) showed a mean 2% drop in blood pressure consistently, whereas Q(4)-Q(1) showed a mean 2.1% and 1.6% rise in systolic and diastolic blood pressure, respectively. However, Q(1)-Q(4) did not show significant changes in blood pressure. Temperature-sensitive subjects had significantly higher mortality (1.35 [95% confidence interval, 1.06-1.71]; P=0.01) and higher follow-up systolic blood pressure (1.85 [95% confidence interval, 0.24-3.46]; P=0.02) compared with temperature-nonsensitive subjects. Blood pressure response to temperature may be one of the underlying mechanisms that determine long-term blood pressure variability. Knowing a patient's blood pressure response to weather can help reduce unnecessary antihypertensive treatment modification, which may in turn increase blood pressure variability and, thus, risk.
很少有研究关注个体的血压对天气条件的纵向反应。目前尚无数据表明对天气变化的特定反应会对生存产生影响。我们分析了 16010 名格拉斯哥血压诊所高血压患者的 169000 多次就诊数据。每次就诊都与苏格兰西部每月的平均天气(温度、阳光、降雨量)数据相关联。在连续就诊时,血压的变化率在两种极端四分位数(Q(1)-Q(4)或 Q(4)-Q(1))之间计算,或者在每个天气参数的相同四分位数(Q(n)-Q(n))之间保持不变。根据患者在 Q(1)-Q(4)或 Q(4)-Q(1)中的血压反应是否与 Q(n)-Q(n)一致或不一致,将患者分为两组。使用广义估计方程和 Cox 比例风险模型分别对纵向血压和死亡率的影响进行建模。Q(n)-Q(n)的血压始终稳定下降 2%,而 Q(4)-Q(1)的收缩压和舒张压分别升高 2.1%和 1.6%。然而,Q(1)-Q(4)的血压没有明显变化。对温度敏感的患者死亡率显著升高(1.35[95%置信区间,1.06-1.71];P=0.01),随访收缩压也显著升高(1.85[95%置信区间,0.24-3.46];P=0.02)。与对温度不敏感的患者相比,对温度敏感的患者血压对温度的反应可能是决定长期血压变异性的潜在机制之一。了解患者对天气的血压反应有助于减少不必要的降压治疗调整,这可能会反过来增加血压变异性,从而增加风险。