医学
血压
四分位数
动脉硬化
内科学
心脏病学
脉冲压力
百分位
脉冲波速
人体测量学
人口
糖尿病
动态血压
高血压前期
置信区间
舒张期
体质指数
内分泌学
统计
环境卫生
数学
作者
Roxana Darabont,Oana-Florentina Tautu,Dana Pop,Ana Fruntelata,Alexandru Deaconu,Sebastian Onciul,Delia Lidia Salaru,Adolf Micoara,Maria Dorobantu
出处
期刊:PubMed
日期:2015-05-30
卷期号:56 (3): 208-16
被引量:7
摘要
The aim of our study was to evaluate visit-to-visit blood pressure variability (BPV) and the association of this parameter with cardiovascular risk determinants, according to the SEPHAR II survey.Following a selection based on the multi-stratified proportional sampling procedure, a total of 1975 subjects who gave informed consent were evaluated by means of a questionnaire, anthropometric, blood pressure (BP) and arterial stiffness measurements (pulse wave velocity and augmentation index), 12-lead ECG recordings, and blood and urine analysis. BPV was quantified in terms of the standard deviation (SD) of the mean systolic blood pressure (SBP) and high BPV was defined as SBP-SD above the 4th quartile. Total cardiovascular risk was assessed by the 2013 ESH/ESC risk stratification chart.Mean BP was 132.37/82.01 mmHg. Mean systolic BPV was 6.16 mmHg, with 24.62% of values above the 75th percentile (8.48 mmHg). Factors found to be associated with high systolic BPV were age, SBP, pulse pressure, total and LDL-cholesterol, triglycerides, visceral obesity, diabetes mellitus, metabolic syndrome and increased aortic stiffness. In addition, in the hypertensive group high BPV was associated with the severity of hypertension and a lack of treatment control. Both visit-to-visit systolic BPV and aortic stiffness proved to be positively and independently correlated with the risk category. Based on these parameters it was possible to predict with 72.6% accuracy the probability of finding subjects in a high and very high cardiovascular risk category.The results of our study indicate a notable prevalence of high BPV, affecting almost a quarter of the Romanian adult population. Visit-to-visit systolic BPV and arterial stiffness are strongly correlated and together might contribute to the improvement of cardiovascular risk prediction models.
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