Literature DB >> 33861306

Trajectories of Blood Pressure Control a Year After Randomization and Incident Cardiovascular Outcomes in SPRINT.

Charles A German1, Tali Elfassy2, Matthew J Singleton1, Carlos J Rodriguez3, Walter T Ambrosius4, Joseph Yeboah1.   

Abstract

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. © American Journal of Hypertension, Ltd 2021. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  SPRINT; blood pressure; cardiovascular disease; hypertension; prevention

Mesh:

Year:  2021        PMID: 33861306      PMCID: PMC8457432          DOI: 10.1093/ajh/hpab059

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  21 in total

1.  Home-measured blood pressure is a stronger predictor of cardiovascular risk than office blood pressure: the Finn-Home study.

Authors:  Teemu J Niiranen; Marjo-Riitta Hänninen; Jouni Johansson; Antti Reunanen; Antti M Jula
Journal:  Hypertension       Date:  2010-04-12       Impact factor: 10.190

2.  Blood pressure measurements are unreliable to diagnose hypertension in primary care.

Authors:  Paul Sebo; Antoinette Pechère-Bertschi; François R Herrmann; Dagmar M Haller; Patrick Bovier
Journal:  J Hypertens       Date:  2014-03       Impact factor: 4.844

3.  Group-based trajectory modeling in clinical research.

Authors:  Daniel S Nagin; Candice L Odgers
Journal:  Annu Rev Clin Psychol       Date:  2010       Impact factor: 18.561

4.  The design and rationale of a multicenter clinical trial comparing two strategies for control of systolic blood pressure: the Systolic Blood Pressure Intervention Trial (SPRINT).

Authors:  Walter T Ambrosius; Kaycee M Sink; Capri G Foy; Dan R Berlowitz; Alfred K Cheung; William C Cushman; Lawrence J Fine; David C Goff; Karen C Johnson; Anthony A Killeen; Cora E Lewis; Suzanne Oparil; David M Reboussin; Michael V Rocco; Joni K Snyder; Jeff D Williamson; Jackson T Wright; Paul K Whelton
Journal:  Clin Trials       Date:  2014-06-05       Impact factor: 2.486

5.  A Randomized Trial of Intensive versus Standard Blood-Pressure Control.

Authors:  Jackson T Wright; Paul K Whelton; David M Reboussin
Journal:  N Engl J Med       Date:  2016-06-09       Impact factor: 91.245

Review 6.  Measurement of Blood Pressure in Humans: A Scientific Statement From the American Heart Association.

Authors:  Paul Muntner; Daichi Shimbo; Robert M Carey; Jeanne B Charleston; Trudy Gaillard; Sanjay Misra; Martin G Myers; Gbenga Ogedegbe; Joseph E Schwartz; Raymond R Townsend; Elaine M Urbina; Anthony J Viera; William B White; Jackson T Wright
Journal:  Hypertension       Date:  2019-05       Impact factor: 10.190

7.  Group-Based Trajectory Modeling (Nearly) Two Decades Later.

Authors:  Daniel S Nagin; Candice L Odgers
Journal:  J Quant Criminol       Date:  2010-10-12

8.  Relative utility of home, ambulatory, and office blood pressures in the prediction of end-organ damage.

Authors:  Daichi Shimbo; Thomas G Pickering; Tanya M Spruill; Dennis Abraham; Joseph E Schwartz; William Gerin
Journal:  Am J Hypertens       Date:  2007-05       Impact factor: 2.689

9.  Blood Pressure Trajectories and the Risk of Intracerebral Hemorrhage and Cerebral Infarction: A Prospective Study.

Authors:  Weijuan Li; Cheng Jin; Anand Vaidya; Yuntao Wu; Kathryn Rexrode; Xiaoming Zheng; Mahmut E Gurol; Chaoran Ma; Shouling Wu; Xiang Gao
Journal:  Hypertension       Date:  2017-07-17       Impact factor: 10.190

10.  Blood pressure trajectories in early adulthood and subclinical atherosclerosis in middle age.

Authors:  Norrina B Allen; Juned Siddique; John T Wilkins; Christina Shay; Cora E Lewis; David C Goff; David R Jacobs; Kiang Liu; Donald Lloyd-Jones
Journal:  JAMA       Date:  2014-02-05       Impact factor: 157.335

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