Key result
High blood pressure variability was significantly associated with frailty (OR 1.57) among community-living older adults, though subgroup analysis showed this was only significant in women.
Why the study?
Does high variability in repeated blood pressure measurements predict frailty in community-living older adults?
Cohort (n=1,156)
Yes
Does high variability in repeated blood pressure measurements predict frailty in community-living older adults?
Odds Ratio: 1.57 (95% CI 1.05–2.37)
High variability in repeated blood pressure measurements is associated with frailty in older adults, suggesting its potential use as a biomarker for physiological dysregulation.
BP variability associated with frailty only in older women; hypothesis-generating and should not yet change practice.
OBJECTIVES: Variation in repeated blood pressure measurements may represent a decline in homeostatic mechanisms in blood pressure regulation in response to various internal or external stressors, indicating a frail state. We tested this hypothesis by examining the association between variability in repeated blood pressure measurements (BPV) and frailty status, adjusting for other confounding factors. DESIGN: A longitudinal cohort study. SETTING: Community centres in all three regions of Hong Kong. PARTICIPANTS: 1156 community-living older adults aged 60 years and over participated in a community geriatric screening program with blood pressure measurements three times a week over one year. Participants were divided into three groups based on variability of repeated blood pressure measurements (low, medium, high) using machine learning methods. MEASUREMENTS: Frailty status was assessed using the FRAIL scale. Logistic regression was used to examine cross sectional association between frailty status and BPV adjusting for confounding factors, and also frailty transition with BPV. RESULTS: In multi-variate models adjusting for co-variates, high BPV was associated with frailty (OR 1.57; 95% CI 1.05-2.37) among all participants; however, this was only significant in women in subgroup analysis. Similar findings were observed when transition to a more frail state was examined over a twelve month period. CONCLUSIONS: The findings of this study support the concept of physiological dysregulation underlying the frail state, and that BPV calculated using machine learning methods may be used as a biomarker of such dysregulation.
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Woo et al. (2018) conducted a cohort in Frailty (n=1,156). High blood pressure variability vs. Low blood pressure variability was evaluated on Frailty status (OR 1.57, 95% CI 1.05-2.37). High blood pressure variability was significantly associated with frailty (OR 1.57) among community-living older adults, though subgroup analysis showed this was only significant in women.
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