Literature DB >> 29024310

Influence of metabolic syndrome and race on the relationship between intensive blood pressure control and cardiovascular outcomes in the SPRINT cohort.

Kathleen Dungan1, Timothy E Craven2, Kyaw Soe3,4, Jackson T Wright5, Jan Basile6, William E Haley7, Nancy R Kressin8, Uzma Rani9, Leonardo Tamariz10, Jeff Whittle11, Alan Wiggers12, Kwame Osei1.   

Abstract

AIMS: To determine whether baseline metabolic syndrome (MetS) modifies the effect of intensive blood pressure control on cardiovascular (CV) outcomes, and whether the effects varied by race/ethnicity.
METHODS: We performed post hoc analyses among non-Hispanic black, non-hispanic white and Hispanic participants, with and without MetS, in the Systolic Blood Pressure Intervention Trial (SPRINT), who were randomized to a systolic blood pressure (SBP) target of <120 mm Hg (intensive group, N = 4544) or an SBP target of <140 mm Hg (standard group, N = 4553). The median follow-up was 3.26 years. The primary outcome was the composite of the first occurrence of myocardial infarction, stroke, heart failure, non-myocardial infarction acute coronary syndrome or CV death.
RESULTS: Overall, 3521/9097 participants (38.7%) met the criteria for MetS at baseline. Baseline characteristics were similar in the two SBP target groups within each MetS subgroup, except body mass index was slightly higher in the standard arm of the MetS subgroup (33.3 ± 5.6 vs 33.0 ± 5.3 kg/m2 ; P < .01), but were similar across treatment arms in the non-MetS subgroup. The hazard ratio for the primary outcome was similarly reduced in participants with or without baseline MetS: 0.75 (95% confidence interval [CI] 0.57, 0.96) and 0.71 (95% CI 0.57, 0.87), respectively (adjusted P value for treatment by subgroup interaction = .98). Similarly, there was no evidence of treatment × MetS subgroup interaction for all-cause mortality (adjusted interaction P value = .98). The findings were also similar across race/ethnic subgroups.
CONCLUSIONS: In this analysis the CV benefit of intensive SBP control did not differ among participants by baseline MetS status, regardless of race/ethnicity.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  cardiovascular disease; clinical trial; glucose metabolism; insulin resistance; macrovascular disease; randomized trial

Mesh:

Substances:

Year:  2017        PMID: 29024310      PMCID: PMC5812782          DOI: 10.1111/dom.13127

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


  31 in total

1.  Effects of race and ethnicity on insulin sensitivity, blood pressure, and heart rate in three ethnic populations: comparative studies in African-Americans, African immigrants (Ghanaians), and white Americans using ambulatory blood pressure monitoring.

Authors:  K Osei; D P Schuster
Journal:  Am J Hypertens       Date:  1996-12       Impact factor: 2.689

2.  Additive effects of glycaemia and blood pressure exposure on risk of complications in type 2 diabetes: a prospective observational study (UKPDS 75).

Authors:  I M Stratton; C A Cull; A I Adler; D R Matthews; H A W Neil; R R Holman
Journal:  Diabetologia       Date:  2006-05-31       Impact factor: 10.122

Review 3.  Metabolic syndrome--a new world-wide definition. A Consensus Statement from the International Diabetes Federation.

Authors:  K G M M Alberti; P Zimmet; J Shaw
Journal:  Diabet Med       Date:  2006-05       Impact factor: 4.359

4.  Clustering of cardiometabolic risk factors and risk of elevated HbA1c in non-Hispanic White, non-Hispanic Black and Mexican-American adults with type 2 diabetes.

Authors:  Ike S Okosun; Francis Annor; Ebenezer A Dawodu; Michael P Eriksen
Journal:  Diabetes Metab Syndr       Date:  2014-05-18

5.  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

6.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

7.  Metabolic syndrome and coronary heart disease in South Asians, African-Caribbeans and white Europeans: a UK population-based cross-sectional study.

Authors:  T Tillin; N Forouhi; D G Johnston; P M McKeigue; N Chaturvedi; I F Godsland
Journal:  Diabetologia       Date:  2005-03-10       Impact factor: 10.122

8.  Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation.

Authors:  K G Alberti; P Z Zimmet
Journal:  Diabet Med       Date:  1998-07       Impact factor: 4.359

Review 9.  SPRINT Trial Results: Latest News in Hypertension Management.

Authors:  William C Cushman; Paul K Whelton; Lawrence J Fine; Jackson T Wright; David M Reboussin; Karen C Johnson; Suzanne Oparil
Journal:  Hypertension       Date:  2015-11-09       Impact factor: 10.190

10.  Outcomes of combined cardiovascular risk factor management strategies in type 2 diabetes: the ACCORD randomized trial.

Authors:  Karen L Margolis; Patrick J O'Connor; Timothy M Morgan; John B Buse; Robert M Cohen; William C Cushman; Jeffrey A Cutler; Gregory W Evans; Hertzel C Gerstein; Richard H Grimm; Edward W Lipkin; K M Venkat Narayan; Matthew C Riddle; Ajay Sood; David C Goff
Journal:  Diabetes Care       Date:  2014-03-04       Impact factor: 19.112

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