Pickering Thomas, Schwartz Joseph, Verdecchia Paolo, Imai Yutaka, Kario Kazuomi, Eguchi Kazuo, Pierdomenico Sante, Ohkubo Takayoshi, Wing Lindon
Division of General Medicine, Columbia University Medical Center, New York, NY 10032, USA.
Blood Press Monit. 2007 Dec;12(6):397-9. doi: 10.1097/MBP.0b013e3282411a12.
We performed this study to elucidate the role of nighttime versus daytime ambulatory blood pressure in predicting stroke and cardiac events. The International Collaborative Study of the Prognostic Utility of ABPM, which includes prospective cohort studies of ambulatory blood pressure monitoring (ABPM) from seven sites, was analyzed in this study. The incidence of stroke and cardiac events were evaluated for an average of 5.8 years. A cox proportional hazards model of adjusting for site, age, sex, BMI, total cholesterol, smoking, and history of antihypertensive medications was used for the analysis. Dipping was defined as the percentage decline in nighttime systolic blood pressure (SBP) relative to daytime SBP. Three hundred and eleven cardiac events and 318 strokes were seen during the follow up periods. Awake and sleep SBP were both significantly associated with both cardiac and stroke events. When the awake and sleep SBP were entered together in the model, awake SBP was more strongly associated with cardiac events than sleep SBP (chi2=12.4, d.f.=1, P=0.0004); conversely, sleep SBP (chi2=13.5, d.f.=1, P<0.0002) was more predictive for stroke events than awake SBP, although awake SBP also remained a significant predictor (chi2=7.03, d.f.=1, P=0.008). The amount of dipping was a significant inverse predictor of stroke [hazards ratio (HR) 0.81 per 10% increase in dipping, confidence interval (CI) 0.70-0.94, chi2=7.70, d.f.=1, P=0.006] but not of cardiac events. It should not be assumed that one summary measure of ambulatory blood pressure would be the best predictor of different clinical outcomes.
我们开展这项研究以阐明夜间与日间动态血压在预测中风和心脏事件中的作用。本研究分析了国际动态血压监测预后效用协作研究,该研究包括来自七个地点的动态血压监测(ABPM)前瞻性队列研究。对中风和心脏事件的发生率进行了平均5.8年的评估。分析采用了调整地点、年龄、性别、体重指数、总胆固醇、吸烟和抗高血压药物治疗史的Cox比例风险模型。血压谷值定义为夜间收缩压(SBP)相对于日间SBP的下降百分比。在随访期间共观察到311例心脏事件和318例中风。清醒和睡眠时的SBP均与心脏和中风事件显著相关。当将清醒和睡眠时的SBP同时纳入模型时,清醒时的SBP与心脏事件的关联比睡眠时的SBP更强(χ2=12.4,自由度=1,P=0.0004);相反,睡眠时的SBP(χ2=13.5,自由度=1,P<0.0002)比清醒时的SBP对中风事件的预测性更强,尽管清醒时的SBP仍是一个显著的预测因素(χ2=7.03,自由度=1,P=0.008)。血压谷值幅度是中风的显著反向预测因素[风险比(HR)每增加10%的血压谷值幅度为0.81,置信区间(CI)0.70 - 0.94,χ2=7.70,自由度=1,P=0.006],但不是心脏事件的预测因素。不应假定动态血压的一种汇总测量指标会是不同临床结局的最佳预测因素。