Literature DB >> 31169350

Determination of optimal on-treatment diastolic blood pressure range using automated measurements in subjects with cardiovascular disease-Analysis of a SPRINT trial subpopulation.

Piotr Sobieraj1, Jacek Lewandowski1, Maciej Siński1, Zbigniew Gaciong1.   

Abstract

Automated office blood pressure measurement (AOBPM) is recommended for diagnosing hypertension; however, optimal treatment targets using this method are not established. Discrepancies between automated and office measurements of blood pressure have been described, producing uncertainty regarding the use of AOBPM in clinical practice. The Systolic Blood Pressure Intervention Trial (SPRINT) results improved our understanding of target AOBPM systolic blood pressure (SBP) levels; however, diastolic blood pressure (DBP) targets remain unknown. Therefore, we sought to determine the optimal on-treatment DBP range. The analysis was performed on the participants of the SPRINT trial who had hypertension and prior cardiovascular disease. We analyzed the data of 1470 participants (mean age 70.3 ± 9.3 years, 24.1% female) selected from the SPRINT trial database of National Heart, Lung and Blood Institute. The mean achieved SBP and DBP were 127.9 ± 10.7 and 68.3 ± 9.4 mm Hg, respectively. Most of the participants (57.4%) had a DBP lower than 70 mm Hg, while only 11.7% had DPB ≥80 mm Hg. Clinical composite endpoint was defined as myocardial infarction, acute coronary syndrome not resulting in myocardial infarction, stroke, acute decompensated heart failure or death from cardiovascular causes. There were 159 (10.8%) clinical endpoint events. The participants with on-treatment AOBPM DBP range of 68.6-78.6 mm Hg showed the lowest hazard risk of a clinical composite endpoint. These results correspond to the office DBP range of 70-80 mm Hg recommended in ESC guidelines. This is the first attempt to determine the range of optimal DBP values using population-based AOBPM in patients with prior cardiovascular disease. ©2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  clinical management of high blood pressure; coronary disease; hypertension-vascular disease; risk assessment; treatment and diagnosis/guidelines

Mesh:

Substances:

Year:  2019        PMID: 31169350      PMCID: PMC8030629          DOI: 10.1111/jch.13581

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


  45 in total

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Authors:  Chirag Bavishi; Sripal Bangalore; Franz H Messerli
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2.  Measuring Blood Pressure and Diagnosing Hypertension in the Physicians Office in the Age of Automated Devices: Time for Guidelines to Reflect Reality.

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3.  Dogma disputed: can aggressively lowering blood pressure in hypertensive patients with coronary artery disease be dangerous?

Authors:  Franz H Messerli; Giuseppe Mancia; C Richard Conti; Ann C Hewkin; Stuart Kupfer; Annette Champion; Rainer Kolloch; Athanase Benetos; Carl J Pepine
Journal:  Ann Intern Med       Date:  2006-06-20       Impact factor: 25.391

4.  Automated compared to manual office blood pressure and to home blood pressure in hypertensive patients.

Authors:  Jan Filipovský; Jitka Seidlerová; Zdeněk Kratochvíl; Petra Karnosová; Markéta Hronová; Otto Mayer
Journal:  Blood Press       Date:  2016-02-07       Impact factor: 2.835

5.  J-curve revisited: An analysis of blood pressure and cardiovascular events in the Treating to New Targets (TNT) Trial.

Authors:  Sripal Bangalore; Franz H Messerli; Chuan-Chuan Wun; Andrea L Zuckerman; David DeMicco; John B Kostis; John C LaRosa
Journal:  Eur Heart J       Date:  2010-09-16       Impact factor: 29.983

Review 6.  BP Measurement in Clinical Practice: Time to SPRINT to Guideline-Recommended Protocols.

Authors:  Paul E Drawz; Joachim H Ix
Journal:  J Am Soc Nephrol       Date:  2017-10-19       Impact factor: 10.121

7.  Blood-Pressure Lowering in Intermediate-Risk Persons without Cardiovascular Disease.

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

8.  Blood Pressure Measurement in SPRINT (Systolic Blood Pressure Intervention Trial).

Authors:  Karen C Johnson; Paul K Whelton; William C Cushman; Jeffrey A Cutler; Gregory W Evans; Joni K Snyder; Walter T Ambrosius; Srinivasan Beddhu; Alfred K Cheung; Lawrence J Fine; Cora E Lewis; Mahboob Rahman; David M Reboussin; Michael V Rocco; Suzanne Oparil; Jackson T Wright
Journal:  Hypertension       Date:  2018-03-12       Impact factor: 10.190

9.  Office blood pressure measurement in the 21st century.

Authors:  Martin G Myers; Roland Asmar; Jan A Staessen
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-07       Impact factor: 3.738

10.  Comparison of automated clinical and research blood pressure measurements: Implications for clinical practice and trial design.

Authors:  Olive Tang; Stephen P Juraschek; Lawrence J Appel; Lisa A Cooper; Jeanne Charleston; Romsai T Boonyasai; Kathryn A Carson; Hsin-Chieh Yeh; Edgar R Miller
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-11-07       Impact factor: 3.738

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  2 in total

1.  Optimal diastolic blood pressure range in intensive systolic targets: Resolving the controversy between observational and intention-to-treat analyses.

Authors:  Panagiotis I Georgianos; Pantelis E Zebekakis; Vassilios Liakopoulos
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-06-06       Impact factor: 3.738

2.  Determination of optimal on-treatment diastolic blood pressure range using automated measurements in subjects with cardiovascular disease-Analysis of a SPRINT trial subpopulation.

Authors:  Piotr Sobieraj; Jacek Lewandowski; Maciej Siński; Zbigniew Gaciong
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-06-06       Impact factor: 3.738

  2 in total

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