Ilana B Richman1, Michael Fairley2, Mads Emil Jørgensen3, Alejandro Schuler4, Douglas K Owens1, Jeremy D Goldhaber-Fiebert5. 1. Palo Alto VA Health Care System, Palo Alto, California2Center for Primary Care and Outcomes Research/Center for Health Policy, Department of Medicine, Stanford University School of Medicine, Stanford, California. 2. Department of Management Science and Engineering, Stanford University, Stanford, California. 3. The Cardiovascular Research Center, Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark5Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California. 4. Center for Biomedical Informatics Research, Stanford University, Stanford, California. 5. Center for Primary Care and Outcomes Research/Center for Health Policy, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Abstract
Importance: Among high-risk patients with hypertension, targeting a systolic blood pressure of 120 mm Hg reduces cardiovascular morbidity and mortality compared with a higher target. However, intensive blood pressure management incurs additional costs from treatment and from adverse events. Objective: To evaluate the incremental cost-effectiveness of intensive blood pressure management compared with standard management. Design, Setting, and Participants: This cost-effectiveness analysis conducted from September 2015 to August 2016 used a Markov cohort model to estimate cost-effectiveness of intensive blood pressure management among 68-year-old high-risk adults with hypertension but not diabetes. We used the Systolic Blood Pressure Intervention Trial (SPRINT) to estimate treatment effects and adverse event rates. We used Centers for Disease Control and Prevention Life Tables to project age- and cause-specific mortality, calibrated to rates reported in SPRINT. We also used population-based observational data to model development of heart failure, myocardial infarction, stroke, and subsequent mortality. Costs were based on published sources, Medicare data, and the National Inpatient Sample. Interventions: Treatment of hypertension to a systolic blood pressure goal of 120 mm Hg (intensive management) or 140 mm Hg (standard management). Main Outcomes and Measures: Lifetime costs and quality-adjusted life-years (QALYs), discounted at 3% annually. Results: Standard management yielded 9.6 QALYs and accrued $155 261 in lifetime costs, while intensive management yielded 10.5 QALYs and accrued $176 584 in costs. Intensive blood pressure management cost $23 777 per QALY gained. In a sensitivity analysis, serious adverse events would need to occur at 3 times the rate observed in SPRINT and be 3 times more common in the intensive management arm to prefer standard management. Conclusions and Relevance: Intensive blood pressure management is cost-effective at typical thresholds for value in health care and remains so even with substantially higher adverse event rates.
Importance: Among high-risk patients with hypertension, targeting a systolic blood pressure of 120 mm Hg reduces cardiovascular morbidity and mortality compared with a higher target. However, intensive blood pressure management incurs additional costs from treatment and from adverse events. Objective: To evaluate the incremental cost-effectiveness of intensive blood pressure management compared with standard management. Design, Setting, and Participants: This cost-effectiveness analysis conducted from September 2015 to August 2016 used a Markov cohort model to estimate cost-effectiveness of intensive blood pressure management among 68-year-old high-risk adults with hypertension but not diabetes. We used the Systolic Blood Pressure Intervention Trial (SPRINT) to estimate treatment effects and adverse event rates. We used Centers for Disease Control and Prevention Life Tables to project age- and cause-specific mortality, calibrated to rates reported in SPRINT. We also used population-based observational data to model development of heart failure, myocardial infarction, stroke, and subsequent mortality. Costs were based on published sources, Medicare data, and the National Inpatient Sample. Interventions: Treatment of hypertension to a systolic blood pressure goal of 120 mm Hg (intensive management) or 140 mm Hg (standard management). Main Outcomes and Measures: Lifetime costs and quality-adjusted life-years (QALYs), discounted at 3% annually. Results: Standard management yielded 9.6 QALYs and accrued $155 261 in lifetime costs, while intensive management yielded 10.5 QALYs and accrued $176 584 in costs. Intensive blood pressure management cost $23 777 per QALY gained. In a sensitivity analysis, serious adverse events would need to occur at 3 times the rate observed in SPRINT and be 3 times more common in the intensive management arm to prefer standard management. Conclusions and Relevance: Intensive blood pressure management is cost-effective at typical thresholds for value in health care and remains so even with substantially higher adverse event rates.
Authors: Clyde W Yancy; Mariell Jessup; Biykem Bozkurt; Javed Butler; Donald E Casey; Mark H Drazner; Gregg C Fonarow; Stephen A Geraci; Tamara Horwich; James L Januzzi; Maryl R Johnson; Edward K Kasper; Wayne C Levy; Frederick A Masoudi; Patrick E McBride; John J V McMurray; Judith E Mitchell; Pamela N Peterson; Barbara Riegel; Flora Sam; Lynne W Stevenson; W H Wilson Tang; Emily J Tsai; Bruce L Wilkoff Journal: J Am Coll Cardiol Date: 2013-06-05 Impact factor: 24.094
Authors: Andrew E Moran; Michelle C Odden; Anusorn Thanataveerat; Keane Y Tzong; Petra W Rasmussen; David Guzman; Lawrence Williams; Kirsten Bibbins-Domingo; Pamela G Coxson; Lee Goldman Journal: N Engl J Med Date: 2015-01-29 Impact factor: 91.245
Authors: Gregg C Fonarow; Eric E Smith; Mathew J Reeves; Wenqin Pan; Daiwai Olson; Adrian F Hernandez; Eric D Peterson; Lee H Schwamm Journal: Stroke Date: 2010-12-16 Impact factor: 7.914
Authors: Andrew H Coles; Kimberly A Fisher; Chad Darling; David McManus; Oscar Maitas; Jorge Yarzebski; Joel M Gore; Darleen Lessard; Robert J Goldberg Journal: Am J Cardiol Date: 2012-07-03 Impact factor: 2.778
Authors: Eva M Lonn; Jackie Bosch; Patricio López-Jaramillo; Jun Zhu; Lisheng Liu; Prem Pais; Rafael Diaz; Denis Xavier; Karen Sliwa; Antonio Dans; Alvaro Avezum; Leopoldo S Piegas; Katalin Keltai; Matyas Keltai; Irina Chazova; Ron J G Peters; Claes Held; Khalid Yusoff; Basil S Lewis; Petr Jansky; Alexander Parkhomenko; Kamlesh Khunti; William D Toff; Christopher M Reid; John Varigos; Lawrence A Leiter; Dora I Molina; Robert McKelvie; Janice Pogue; Joanne Wilkinson; Hyejung Jung; Gilles Dagenais; Salim Yusuf Journal: N Engl J Med Date: 2016-04-02 Impact factor: 91.245
Authors: Xinfang Xie; Emily Atkins; Jicheng Lv; Alexander Bennett; Bruce Neal; Toshiharu Ninomiya; Mark Woodward; Stephen MacMahon; Fiona Turnbull; Graham S Hillis; John Chalmers; Jonathan Mant; Abdul Salam; Kazem Rahimi; Vlado Perkovic; Anthony Rodgers Journal: Lancet Date: 2015-11-07 Impact factor: 79.321
Authors: Gabriel S Tajeu; John N Booth; Lisandro D Colantonio; Rebecca F Gottesman; George Howard; Daniel T Lackland; Emily C O'Brien; Suzanne Oparil; Joseph Ravenell; Monika M Safford; Samantha R Seals; Daichi Shimbo; Steven Shea; Tanya M Spruill; Rikki M Tanner; Paul Muntner Journal: Circulation Date: 2017-06-20 Impact factor: 29.690
Authors: Catherine G Derington; Jordan B King; Kelsey B Bryant; Blake T McGee; Andrew E Moran; William S Weintraub; Brandon K Bellows; Adam P Bress Journal: Curr Hypertens Rep Date: 2019-11-07 Impact factor: 5.369
Authors: John W McEvoy; Seth S Martin; Zeina A Dardari; Michael D Miedema; Veit Sandfort; Joseph Yeboah; Matthew J Budoff; David C Goff; Bruce M Psaty; Wendy S Post; Khurram Nasir; Roger S Blumenthal; Michael J Blaha Journal: Circulation Date: 2016-11-23 Impact factor: 29.690
Authors: Donna K Arnett; Roger S Blumenthal; Michelle A Albert; Andrew B Buroker; Zachary D Goldberger; Ellen J Hahn; Cheryl Dennison Himmelfarb; Amit Khera; Donald Lloyd-Jones; J William McEvoy; Erin D Michos; Michael D Miedema; Daniel Muñoz; Sidney C Smith; Salim S Virani; Kim A Williams; Joseph Yeboah; Boback Ziaeian Journal: J Am Coll Cardiol Date: 2019-03-17 Impact factor: 24.094
Authors: Donna K Arnett; Roger S Blumenthal; Michelle A Albert; Andrew B Buroker; Zachary D Goldberger; Ellen J Hahn; Cheryl Dennison Himmelfarb; Amit Khera; Donald Lloyd-Jones; J William McEvoy; Erin D Michos; Michael D Miedema; Daniel Muñoz; Sidney C Smith; Salim S Virani; Kim A Williams; Joseph Yeboah; Boback Ziaeian Journal: J Am Coll Cardiol Date: 2019-03-17 Impact factor: 24.094
Authors: Donna K Arnett; Roger S Blumenthal; Michelle A Albert; Andrew B Buroker; Zachary D Goldberger; Ellen J Hahn; Cheryl Dennison Himmelfarb; Amit Khera; Donald Lloyd-Jones; J William McEvoy; Erin D Michos; Michael D Miedema; Daniel Muñoz; Sidney C Smith; Salim S Virani; Kim A Williams; Joseph Yeboah; Boback Ziaeian Journal: Circulation Date: 2019-03-17 Impact factor: 29.690
Authors: Donna K Arnett; Roger S Blumenthal; Michelle A Albert; Andrew B Buroker; Zachary D Goldberger; Ellen J Hahn; Cheryl Dennison Himmelfarb; Amit Khera; Donald Lloyd-Jones; J William McEvoy; Erin D Michos; Michael D Miedema; Daniel Muñoz; Sidney C Smith; Salim S Virani; Kim A Williams; Joseph Yeboah; Boback Ziaeian Journal: Circulation Date: 2019-03-17 Impact factor: 29.690