Abstract

Introduction: Blood pressure trajectories have been associated with cardiovascular disease (CVD) in observational studies. It is unclear whether these associations are independent of average blood pressure over time. Methods: We used data from SPRINT to identify systolic blood pressure (SBP) trajectories among a cohort of 8901 participants by incorporating SBP measures during the first 12 months of the trial post randomization. Trajectories were identified using latent class based modeling. Study outcomes included incident CVD, defined as myocardial infarction, acute coronary syndrome not resulting in myocardial infarction, stroke, acute decompensated heart failure, or death attributable to CVD, and all-cause mortality. Cox proportional hazards models were used to evaluate associations between SBP trajectories and our outcomes of interest. Results: Four distinct SBP trajectories were identified: ‘low decline’ (40%), ‘high decline’ (6%), ‘low stable’ (48%), and ‘high stable’ (5%) (Figure 1). Relative to the low decline group, the low stable group was associated with a 29% increased risk of CVD (HR: 1.29, 95%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) after baseline multivariable adjustment. 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). When adjusting for average blood pressure across the 12 month time period, there were no significant differences in outcomes. Conclusion: We identified 4 SBP trajectories using data from SPRINT and found differences in the risk of CVD and all-cause mortality after baseline adjustment. However, there were no differences in the risk of these outcomes after adjusting for average blood pressure over time. These results suggest that the pattern of blood pressure control may not be relevant as long as the target blood pressure is achieved.

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