Literature DB >> 33888247

Patient Selection for Intensive Blood Pressure Management Based on Benefit and Adverse Events.

Adam P Bress1, Tom Greene2, Catherine G Derington2, Jincheng Shen2, Yizhe Xu2, Yiyi Zhang3, Jian Ying4, Brandon K Bellows3, William C Cushman5, Paul K Whelton6, Nicholas M Pajewski7, David Reboussin7, Srinivasan Beddu8, Rachel Hess2, Jennifer S Herrick2, Zugui Zhang9, Paul Kolm10, Robert W Yeh11, Sanjay Basu12, William S Weintraub13, Andrew E Moran3.   

Abstract

BACKGROUND: Intensive systolic blood pressure (SBP) treatment prevents cardiovascular disease (CVD) events in patients with high CVD risk on average, though benefits likely vary among patients.
OBJECTIVES: The aim of this study was to predict the magnitude of benefit (reduced CVD and all-cause mortality risk) along with adverse event (AE) risk from intensive versus standard SBP treatment.
METHODS: This was a secondary analysis of SPRINT (Systolic Blood Pressure Intervention Trial). Separate benefit outcomes were the first occurrence of: 1) a CVD composite of acute myocardial infarction or other acute coronary syndrome, stroke, heart failure, or CVD death; and 2) all-cause mortality. Treatment-related AEs of interest included hypotension, syncope, bradycardia, electrolyte abnormalities, injurious falls, and acute kidney injury. Modified elastic net Cox regression was used to predict absolute risk for each outcome and absolute risk differences on the basis of 36 baseline variables available at the point of care with intensive versus standard treatment.
RESULTS: Among 8,828 SPRINT participants (mean age 67.9 years, 35% women), 600 CVD composite events, 363 all-cause deaths, and 481 treatment-related AEs occurred over a median follow-up period of 3.26 years. Individual participant risks were predicted for the CVD composite (C index = 0.71), all-cause mortality (C index = 0.75), and treatment-related AEs (C index = 0.69). Higher baseline CVD risk was associated with greater benefit (i.e., larger absolute CVD risk reduction). Predicted CVD benefit and predicted increased treatment-related AE risk were correlated (Spearman correlation coefficient = -0.72), and 95% of participants who fell into the highest tertile of predicted benefit also had high or moderate predicted increases in treatment-related AE risk. Few were predicted as high benefit with low AE risk (1.8%) or low benefit with high AE risk (1.5%). Similar results were obtained for all-cause mortality.
CONCLUSIONS: SPRINT participants with higher baseline predicted CVD risk gained greater absolute benefit from intensive treatment. Participants with high predicted benefit were also most likely to experience treatment-related AEs, but AEs were generally mild and transient. Patients should be prioritized for intensive SBP treatment on the basis of higher predicted benefit. (Systolic Blood Pressure Intervention Trial [SPRINT]; NCT01206062).
Copyright © 2021 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  blood pressure; cardiovascular disease; clinical decision making; hypertension; predictive modeling; prevention

Mesh:

Substances:

Year:  2021        PMID: 33888247      PMCID: PMC8068761          DOI: 10.1016/j.jacc.2021.02.058

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  22 in total

1.  Subgroup analyses in randomized trials: risks of subgroup-specific analyses; power and sample size for the interaction test.

Authors:  Sara T Brookes; Elise Whitely; Matthias Egger; George Davey Smith; Paul A Mulheran; Tim J Peters
Journal:  J Clin Epidemiol       Date:  2004-03       Impact factor: 6.437

2.  Potential US Population Impact of the 2017 ACC/AHA High Blood Pressure Guideline.

Authors:  Paul Muntner; Robert M Carey; Samuel Gidding; Daniel W Jones; Sandra J Taler; Jackson T Wright; Paul K Whelton
Journal:  Circulation       Date:  2017-11-13       Impact factor: 29.690

3.  The proposed 'concordance-statistic for benefit' provided a useful metric when modeling heterogeneous treatment effects.

Authors:  David van Klaveren; Ewout W Steyerberg; Patrick W Serruys; David M Kent
Journal:  J Clin Epidemiol       Date:  2017-11-11       Impact factor: 6.437

4.  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

5.  Individualizing treatment choices in the systolic blood pressure intervention trial.

Authors:  João Pedro Ferreira; John Gregson; Kévin Duarte; François Gueyffier; Patrick Rossignol; Faiez Zannad; Stuart Pocock
Journal:  J Hypertens       Date:  2018-02       Impact factor: 4.844

6.  2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

Authors:  David C Goff; Donald M Lloyd-Jones; Glen Bennett; Sean Coady; Ralph B D'Agostino; Raymond Gibbons; Philip Greenland; Daniel T Lackland; Daniel Levy; Christopher J O'Donnell; Jennifer G Robinson; J Sanford Schwartz; Susan T Shero; Sidney C Smith; Paul Sorlie; Neil J Stone; Peter W F Wilson
Journal:  J Am Coll Cardiol       Date:  2013-11-12       Impact factor: 24.094

7.  Effects of Intensive Blood Pressure Treatment on Acute Kidney Injury Events in the Systolic Blood Pressure Intervention Trial (SPRINT).

Authors:  Michael V Rocco; Kaycee M Sink; Laura C Lovato; Dawn F Wolfgram; Thomas B Wiegmann; Barry M Wall; Kausik Umanath; Frederic Rahbari-Oskoui; Anna C Porter; Roberto Pisoni; Cora E Lewis; Julia B Lewis; James P Lash; Lois A Katz; Amret T Hawfield; William E Haley; Barry I Freedman; Jamie P Dwyer; Paul E Drawz; Mirela Dobre; Alfred K Cheung; Ruth C Campbell; Udayan Bhatt; Srinivasan Beddhu; Paul L Kimmel; David M Reboussin; Glenn M Chertow
Journal:  Am J Kidney Dis       Date:  2017-11-20       Impact factor: 8.860

8.  Benefit and harm of intensive blood pressure treatment: Derivation and validation of risk models using data from the SPRINT and ACCORD trials.

Authors:  Sanjay Basu; Jeremy B Sussman; Joseph Rigdon; Lauren Steimle; Brian T Denton; Rodney A Hayward
Journal:  PLoS Med       Date:  2017-10-17       Impact factor: 11.069

9.  Assessment of Risk of Harm Associated With Intensive Blood Pressure Management Among Patients With Hypertension Who Smoke: A Secondary Analysis of the Systolic Blood Pressure Intervention Trial.

Authors:  Joseph Scarpa; Emilie Bruzelius; Patrick Doupe; Matthew Le; James Faghmous; Aaron Baum
Journal:  JAMA Netw Open       Date:  2019-03-01

10.  The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement.

Authors:  David M Kent; Jessica K Paulus; David van Klaveren; Ralph D'Agostino; Steve Goodman; Rodney Hayward; John P A Ioannidis; Bray Patrick-Lake; Sally Morton; Michael Pencina; Gowri Raman; Joseph S Ross; Harry P Selker; Ravi Varadhan; Andrew Vickers; John B Wong; Ewout W Steyerberg
Journal:  Ann Intern Med       Date:  2019-11-12       Impact factor: 25.391

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  1 in total

1.  Nurse-led care versus usual care on cardiovascular risk factors for patients with type 2 diabetes: a systematic review and meta-analysis.

Authors:  Jiayu Zhang; Xutong Zheng; Danyan Ma; Changqin Liu; Yulan Ding
Journal:  BMJ Open       Date:  2022-03-28       Impact factor: 2.692

  1 in total

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