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Trajectories of Blood Pressure Control a Year After Randomization and Incident Cardiovascular Outcomes in SPRINT
Charles A German1, Tali Elfassy2, Matthew J Singleton1
1Section of Cardiology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Insights
Systolic blood pressure (SBP) trajectory patterns, not just baseline levels, predict cardiovascular disease (CVD) risk. Identifying these SBP patterns can improve risk assessment and guide antihypertensive therapy.
Area of Science:
- Cardiology
- Clinical Trials
- Epidemiology
Background:
- Observational studies explored blood pressure trajectories and cardiovascular disease (CVD) risk.
- Few clinical trials have examined the association between systolic blood pressure (SBP) trajectories and CVD outcomes.
Purpose of the Study:
- To identify distinct systolic blood pressure (SBP) trajectories within a clinical trial cohort.
- To determine if identified SBP trajectory patterns are independently associated with CVD risk and all-cause mortality.
Main Methods:
- Latent class group-based modeling was used to identify SBP trajectories in the Systolic Blood Pressure Intervention Trial (SPRINT) cohort.
- SBP measures from the first 12 months post-randomization were incorporated.
- Cox proportional hazards models assessed the association between SBP trajectories and CVD/all-cause mortality.
Main Results:
- Four SBP trajectories were identified: low decline (41%), high decline (6%), low stable (48%), and high stable (5%).
- Compared to the low decline group, the low stable group had a 29% increased CVD risk (HR: 1.29, 95% CI: 1.06-1.57).
- The high stable group showed a 76% increased risk of all-cause mortality versus the low decline group (HR: 1.76, 95% CI: 1.15-2.68) and a 54% increased risk versus the low stable group (HR: 1.54, 95% CI: 1.05-2.28).
Conclusions:
- Systolic blood pressure (SBP) trajectory patterns are linked to significant cardiovascular outcomes, independent of baseline blood pressure.
- These findings may enhance identification of individuals at risk for CVD.
- Understanding SBP trajectories can aid in optimizing antihypertensive treatment strategies to prevent future cardiovascular events.
Background:
While studies have assessed the association between blood pressure trajectories and cardiovascular disease (CVD) outcomes using observational data, few have assessed these associations using clinical trial data. We sought to identify systolic blood pressure (SBP) trajectories and to determine if these trajectory patterns carry inherent CVD risk, irrespective of baseline blood pressure.
Methods:
SBP trajectories were identified using latent class group-based modeling among a cohort of Systolic Blood Pressure Intervention Trial (SPRINT) participants by incorporating SBP measures during the first 12 months of the trial postrandomization. Cox models were used to evaluate the association between SBP trajectory with CVD and all-cause mortality.
Results:
Four distinct SBP trajectories were identified: "low decline" (41%), "high decline" (6%), "low stable" (48%), and "high stable" (5%). Relative to the "low decline" group, the "low stable" group was associated with a 29% increased risk of CVD (hazard ratio [HR]: 1.29, 95% confidence interval [CI]: 1.06-1.57) and the "high stable" group was associated with a 76% increased risk of all-cause mortality (HR: 1.76, 95% CI: 1.15-2.68). Relative to the "low stable" group, the "high stable" group was associated with a 54% increased risk of all-cause mortality (HR: 1.54, 95% CI: 1.05-2.28).
Conclusions:
Our results demonstrate that SBP trajectory patterns are associated with important cardiovascular outcomes, irrespective of baseline blood pressure, which may help better identify individuals at risk and assist with accurate adjudication of antihypertensive therapy to reduce future events.
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