Objective:
This longitudinal, non-randomized study aims to explore the prognostic value of home-measured blood pressure variability (BPV) in predicting arteriosclerosis and metabolic dysfunction in patients with hypertension. By examining the relationship between home BPV and several vascular and metabolic health indicators, this study seeks to validate home BP monitoring as a crucial component of hypertension management.
Study Design:
Participants will be recruited from multiple clinical settings and followed for a three-year period, during which they will use the Healthscan mobile application to record their daily blood pressure readings. The primary outcome measure is the correlation between home BPV and pulse wave velocity, a key marker of arteriosclerosis. Secondary outcomes include other arteriosclerosis indicators such as ankle-brachial index and central systolic blood pressure, as well as metabolic indicators like fasting glucose and lipid profiles.
Methodology:
Approximately 4,188 hypertensive patients over 19 years old, with a history of antihypertensive medication use, will be enrolled. Data collection will be facilitated through the Healthscan app, which participants will use to enter their BP measurements. This data will provide insights into the average blood pressure and variability over specified periods. The study will utilize Pearson or Spearman correlation coefficients to assess the relationships between home BPV and health indicators, with multivariate regression models adjusting for potential confounders.
Ethical Considerations:
The study has been approved by an institutional review board and all participants will provide written informed consent. The study prioritizes data confidentiality and participant privacy, with data being securely stored and managed.
Significance:
By correlating BPV with arteriosclerosis and metabolic parameters, the study could significantly impact clinical practices by reinforcing the role of home BP monitoring in the early detection and management of cardiovascular risks in hypertensive patients. This could potentially lead to more personalized and effective healthcare strategies, ultimately improving patient outcomes in hypertension management.
