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.
Abstract

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