Literature DB >> 28952798

Patterns of blood pressure response during intensive BP lowering and clinical events: results from the secondary prevention of small subcortical strokes trial.

Elaine Ku1,2, Rebecca Scherzer3, Michelle C Odden4, Michael Shlipak3, Carole L White5,6, Thalia S Field7, Oscar Benavente5,7, Pablo E Pergola8, Carmen A Peralta1,3.   

Abstract

PURPOSE: We applied cluster analysis to identify discrete patterns of concomitant responses of systolic (SBP), diastolic (DBP) and pulse pressure (PP) during intensive BP lowering; and to evaluate their clinical relevance and association with risk of mortality, major vascular events (MVEs), and stroke.
MATERIAL AND METHODS: We used an unsupervised cluster procedure to identify distinct patterns of BP change during the first 9 months of anti-hypertensive therapy intensification among 1,331 participants in the Secondary Prevention of Small Subcortical Strokes Trial who were previously randomized to lower BP target (SBP < 130 mm Hg) after lacunar stroke.
RESULTS: The cluster procedure partitioned participants into three groups in the lower SBP target arm, persons with: 1) mildly elevated baseline SBP and minimal visit-to-visit BP variability (mild reducers); 2) moderately elevated baseline SBP and moderate visit-to-visit BP variability (moderate reducers); and 3) very elevated baseline SBP with very large visit-to-visit BP variability during intensification (large reducers). In the lower SBP target group, moderate reducers had a higher risk of death (adjusted HR 1.6 [95% CI 1.0-2.7]), MVE (adjusted HR 2.1 [95% CI 1.4-3.2]), and stroke (adjusted HR 2.6[95% CI 1.7-4.1]) compared to mild reducers. Large reducers had the highest risk of death (adjusted HR 2.3 [95% CI 1.2-4.4]), but risk of MVE (HR = 1.7 [95%CI 0.9-3.1]) and stroke (HR = 1.6 [95%CI: 0.8-3.5]) were not statistically significantly different compared to mild reducers.
CONCLUSIONS: Among persons with prior lacunar stroke, baseline BP levels, and BP variability in the setting of intensive BP lowering can identify discrete groups of persons at higher risk of adverse outcomes.

Entities:  

Keywords:  Mortality; hypertension; machine learning

Mesh:

Year:  2017        PMID: 28952798      PMCID: PMC5818304          DOI: 10.1080/08037051.2017.1382310

Source DB:  PubMed          Journal:  Blood Press        ISSN: 0803-7051            Impact factor:   2.835


  16 in total

1.  The relationship between visit-to-visit variability in systolic blood pressure and all-cause mortality in the general population: findings from NHANES III, 1988 to 1994.

Authors:  Paul Muntner; Daichi Shimbo; Marcello Tonelli; Kristi Reynolds; Donna K Arnett; Suzanne Oparil
Journal:  Hypertension       Date:  2011-01-03       Impact factor: 10.190

2.  The Secondary Prevention of Small Subcortical Strokes (SPS3) study.

Authors:  Oscar R Benavente; Carole L White; Lesly Pearce; Pablo Pergola; Ana Roldan; Marie-France Benavente; Christopher Coffey; Leslie A McClure; Jeff M Szychowski; Robin Conwit; Patricia A Heberling; George Howard; Carlos Bazan; Gabriela Vidal-Pergola; Robert Talbert; Robert G Hart
Journal:  Int J Stroke       Date:  2011-01-26       Impact factor: 5.266

3.  Achieved blood pressures in the secondary prevention of small subcortical strokes (SPS3) study: challenges and lessons learned.

Authors:  Pablo E Pergola; Carole L White; Jeff M Szychowski; Robert Talbert; Oscar Del Brutto; Mar Castellanos; John W Graves; Gonzalo Matamala; Edwin Javier Pretell; Jerry Yee; Rosario Rebello; Yu Zhang; Oscar R Benavente
Journal:  Am J Hypertens       Date:  2014-03-07       Impact factor: 2.689

Review 4.  Systolic and diastolic blood pressure lowering as determinants of cardiovascular outcome.

Authors:  Ji-Guang Wang; Jan A Staessen; Stanley S Franklin; Robert Fagard; François Gueyffier
Journal:  Hypertension       Date:  2005-04-18       Impact factor: 10.190

5.  Effects of beta blockers and calcium-channel blockers on within-individual variability in blood pressure and risk of stroke.

Authors:  Peter M Rothwell; Sally C Howard; Eamon Dolan; Eoin O'Brien; Joanna E Dobson; Bjorn Dahlöf; Neil R Poulter; Peter S Sever
Journal:  Lancet Neurol       Date:  2010-03-11       Impact factor: 44.182

6.  Effects of intensive blood-pressure control in type 2 diabetes mellitus.

Authors:  William C Cushman; Gregory W Evans; Robert P Byington; David C Goff; Richard H Grimm; Jeffrey A Cutler; Denise G Simons-Morton; Jan N Basile; Marshall A Corson; Jeffrey L Probstfield; Lois Katz; Kevin A Peterson; William T Friedewald; John B Buse; J Thomas Bigger; Hertzel C Gerstein; Faramarz Ismail-Beigi
Journal:  N Engl J Med       Date:  2010-03-14       Impact factor: 91.245

7.  Personalizing the Intensity of Blood Pressure Control: Modeling the Heterogeneity of Risks and Benefits From SPRINT (Systolic Blood Pressure Intervention Trial).

Authors:  Krishna K Patel; Suzanne V Arnold; Paul S Chan; Yuanyuan Tang; Yashashwi Pokharel; Philip G Jones; John A Spertus
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2017-04

8.  Systolic blood pressure, diastolic blood pressure, and pulse pressure: an evaluation of their joint effect on mortality.

Authors:  Roberto Pastor-Barriuso; José R Banegas; Javier Damián; Lawrence J Appel; Eliseo Guallar
Journal:  Ann Intern Med       Date:  2003-11-04       Impact factor: 25.391

9.  Visit-to-Visit Variability of Blood Pressure and Coronary Heart Disease, Stroke, Heart Failure, and Mortality: A Cohort Study.

Authors:  Paul Muntner; Jeff Whittle; Amy I Lynch; Lisandro D Colantonio; Lara M Simpson; Paula T Einhorn; Emily B Levitan; Paul K Whelton; William C Cushman; Gail T Louis; Barry R Davis; Suzanne Oparil
Journal:  Ann Intern Med       Date:  2015-09-01       Impact factor: 25.391

10.  Blood-pressure targets in patients with recent lacunar stroke: the SPS3 randomised trial.

Authors:  O R Benavente; C S Coffey; R Conwit; R G Hart; L A McClure; L A Pearce; P E Pergola; J M Szychowski
Journal:  Lancet       Date:  2013-05-29       Impact factor: 79.321

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