Association between real-world home blood pressure measurement patterns and blood pressure variability among older individuals with hypertension: A community-based blood pressure variability study

被引:5
作者
Lin, Jia-You [1 ]
Kuo, Kuan-Liang [2 ]
Kuo, Yi-Hsin [3 ]
Wu, Kun-Pin [1 ]
Chu, Kuo-Chung [4 ]
Jiang, Yan-Chen [4 ]
Chuang, Yi-Fang [5 ]
Cheng, Hao-Min [5 ,6 ,7 ,8 ]
机构
[1] Natl Yang Ming Univ, Inst Biomed Informat, Taipei, Taiwan
[2] Taipei City Hosp, Dept Family Med, RenAi Branch, Taipei, Taiwan
[3] Natl Yang Ming Univ, Fac Med, Taipei, Taiwan
[4] Natl Taipei Univ Nursing & Hlth Sci NTUNHS, Dept Informat Management, Taipei, Taiwan
[5] Natl Yang Ming Univ, Inst Publ Hlth, Taipei, Taiwan
[6] Natl Yang Ming Univ, Fac Med, Sch Med, Taipei, Taiwan
[7] Taipei Vet Gen Hosp, Dept Med Educ, Taipei, Taiwan
[8] Taipei Vet Gen Hosp, Ctr Evidence Based Med, Taipei, Taiwan
关键词
blood pressure variability; digitalized home blood pressure monitoring; measure pattern; BY-DAY VARIABILITY; CARDIOVASCULAR-DISEASE; HEART-RATE; RISK; MANAGEMENT; HEALTH; POPULATION; PREDICTOR; MORTALITY; STROKE;
D O I
10.1111/jch.14134
中图分类号
R6 [外科学];
学科分类号
1002 ; 100210 ;
摘要
Home blood pressure (BP) monitoring is a useful tool for hypertension management. BP variability (BPV) has been associated with an increased risk of cardiovascular events. However, little is known about the correlation between BPV and different measurement patterns of long-term home BP monitoring. This longitudinal cohort study aimed to assess the associations between dynamic BP measurement patterns and BPV. A total of 1128 participants (mean age, 77.4 +/- 9.3 years; male, 51%) with 23 269 behavior measuring units were included. We used sliding window sampling to classify the home BP data with a regular 6-month interval into units in a sliding manner until the data are not continuous. Three measurement patterns (stable frequent [SF], stable infrequent [SI], and unstable [US]) were assessed based on the home BP data obtained within the first 3 months of the study, and the data in the subsequent 3 months were used to assess the BPV of that unit. We used linear mixed-effects model to assess the association between BP measurement patterns and BPV with adjustment for possible confounding factors including average BP. Average real variability and coefficient variability were used as measures of the BPV. No significant differences were observed in average BP between the SF, SI, and US patterns. However, BPV in the SF group was significantly lower than that in the US and SI groups (all p-values < .05). The BPV in SI and US groups was not significantly different. A stable and frequent BP measuring pattern was independently associated with a lower BPV.
引用
收藏
页码:628 / 637
页数:10
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