Paula Daniela P, Lopes Leidjaira J, Mill José G, Fonseca Maria J M, Griep Rosane H
National School of Statistical Sciences, Brazilian Institute of Geography and Statistics, Rio de Janeiro, Brazil.
Department of Nutrition and Health, Federal University of Viçosa, Minas Gerais, Brazil.
J Clin Hypertens (Greenwich). 2020 Dec;22(12):2315-2324. doi: 10.1111/jch.14066. Epub 2020 Oct 5.
Ambulatory blood pressure monitoring (ABPM) is the gold standard method for the diagnosis of hypertension. ABPM provides a set of repeated measurements for blood pressure (BP), usually over 24 h. Traditional approaches characterize diurnal BP variation by single ABPM parameters such as average and standard deviation, regardless of the temporal nature of the data. In this way, information about the pattern of diurnal BP variation and relationship between parameters is lost. The objective of this study was to identify and characterize daily BP patterns considering the set of repeated measures from 24-h ABPM. A total of 859 adult participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) performed a 24-h ABPM record. Hypertension, sex, age, race/color, education, marital status, smoking, alcohol, physical activity, and BMI were the covariables analyzed. Techniques for longitudinal clustering, multinomial models, and models with mixed effects were used. Three daily BP patterns were identified. Daily BP patterns with high BP presented higher standard deviation and morning surge and lower nocturnal dipping. They showed greater systolic BP variability and faster rise than fall in diastolic BP during sleep. Hypertensive, "pardos," and men had greater odds to present these patterns. Daily BP patterns with high BP presented the worst profile concerning ABPM parameters associated with cardiovascular risk. The daily BP patterns identified contribute to the characterization of diurnal BP variation.
动态血压监测(ABPM)是诊断高血压的金标准方法。ABPM通常在24小时内提供一组重复的血压测量值。传统方法通过单一的ABPM参数(如平均值和标准差)来描述血压的昼夜变化特征,而不考虑数据的时间特性。这样一来,关于血压昼夜变化模式以及参数之间关系的信息就丢失了。本研究的目的是根据24小时ABPM的重复测量值来识别和描述每日血压模式。巴西成人健康纵向研究(ELSA - Brasil)共有859名成年参与者进行了24小时ABPM记录。分析的协变量包括高血压、性别、年龄、种族/肤色、教育程度、婚姻状况、吸烟、饮酒、身体活动和体重指数。使用了纵向聚类技术、多项模型和混合效应模型。识别出了三种每日血压模式。血压较高的每日血压模式具有更高的标准差和晨峰,夜间血压下降幅度较小。它们显示出更大的收缩压变异性,且睡眠期间舒张压上升速度快于下降速度。高血压患者、“pardos”(一种种族分类)和男性出现这些模式的几率更高。血压较高的每日血压模式在与心血管风险相关的ABPM参数方面表现出最差的特征。所识别出的每日血压模式有助于描述血压的昼夜变化特征。