Aims and Rationale: Hypertension is ubiquitous within the VA system and is the leading cause of preventable cardiovascular disease in the United States. Over 1/3 of Veterans with hypertension are not treated to goal, and there are significant differences between professional guideline statement recommendations. A critical knowledge-practice gap exists in blood pressure (BP) management: Treatment decisions in older adults rely mainly on brachial artery BP measurements, ignoring arterial stiffness mechanisms and the underlying genetics of hypertension. The investigators need non-invasive tools to identify older adults most likely to benefit from more intensive BP targets. The investigators plan to evaluate novel physiologic mechanistic arterial stiffness measures (load-dependent stiffness and structural stiffness) and a known BP polygenic risk score (PRS) to improve hypertension care in older Veterans. Total arterial stiffness (e.g., arterial wall rigidity) has two distinct components: 1) structural stiffening due to arterial wall remodeling (e.g., elastin degradation and fibrin and collagen deposition) and 2) load-dependent stiffness, by which elevated BP increases collagen fiber loading. The investigators hope to use these tools to improve the understanding of individual differences in BP treatment responses. The investigators plan to determine if intensive vs. standard BP treatment (i.e., \<120 vs. \<140 mmHg) improves arterial stiffness components (load-dependent and structural) in older hypertensive Veterans with baseline systolic BP 140 mmHg) over 12 months and determine if baseline load dependent stiffness is associated with BP response regardless of treatment group. Finally, the investigators will determine if a BP PRS can be used to explain individual variability in stiffness responses. A straightforward non-invasive arterial stiffness test, like load dependent stiffness, combined with genetic markers, could improve hypertension and CVD outcomes by personalizing treatment plans in this at-risk Veteran demographic.
Methods: The investigators propose a three-site randomized controlled trial that will enroll hypertensive Veterans 60 years old (n=228). Participants will be randomized 1:1 to intensive or standard BP treatment (\<120 vs \<140 mmHg). The primary outcomes of load-dependent and structural arterial stiffness will be assessed at baseline and after 3, 6 and 12 months of guideline-based antihypertensive therapy. Medications will be prescribed and titrated at each visit, and serious adverse effects including hypotension, acute kidney injury and falls will be documented. This will permit the analysis of the impact of BP treatment goals of the mechanistic components of arterial stiffness in older Veterans (primary outcome) and improve the understanding of the underlying genetic factors related to the individual differences in stiffness mechanisms and their specific BP response to treatment goals.
Innovation/Significance: BP control is a major unaddressed problem in the VA Health system. Load-dependent arterial stiffness measures and a BP PRS may provide a novel way to personalize BP goals in older adults and offer new insights into complex phenotypic and genetic differences in BP response. The interaction between blood pressure and stiffness is well described for total arterial stiffness measures, but the impact of standard vs. intensive blood pressure targets on both phenotypic arterial stiffness (load-dependent vs structural stiffness) and genotypic associations with a blood pressure specific polygenic risk score (PRS) has not been studied in older adults. This non-invasive stiffness test could be used as a novel risk-stratification tool to help identify older patients who would benefit from the most aggressive BP treatment goals, ultimately decreasing CVD events in this at-risk population. This will facilitate further studies that could eventually lead to the use of these techniques in clinical settings, allowing prescribers to easily and non-invasively identify older Veterans at the highest CVD risk and more easily assign optimal blood pressure targets to each patient.
