Literature DB >> 30715088

Comparing Automated Office Blood Pressure Readings With Other Methods of Blood Pressure Measurement for Identifying Patients With Possible Hypertension: A Systematic Review and Meta-analysis.

Michael Roerecke1, Janusz Kaczorowski2, Martin G Myers3.   

Abstract

Importance: Automated office blood pressure (AOBP) measurement involves recording several blood pressure (BP) readings using a fully automated oscillometric sphygmomanometer with the patient resting alone in a quiet place. Although several studies have shown AOBP measurement to be more accurate than routine office BP measurement and not subject to a "white coat effect," the cumulative evidence has not yet been systematically reviewed. Objective: To perform a systematic review and meta-analysis to examine the association between AOBP and office BP readings measured in routine clinical practice and in research studies, and ambulatory BP recorded during awake hours, as the latter is a standard for predicting future cardiovascular events. Data Sources: The MEDLINE, Embase, and Cochrane Library were searched from 2003 to April 25, 2018. Study Selection: Studies on systolic and diastolic BP measurement by AOBP in comparison with awake ambulatory BP, routine office BP, and research BP measurements were included if they contained 30 patients or more. Data Extraction and Synthesis: Study characteristics were abstracted independently and random effects meta-analyses and meta-regressions were conducted. Main Outcomes and Measures: Pooled mean differences (95% CI) of systolic and diastolic BP between types of BP measurement.
Results: Data were compiled from 31 articles comprising 9279 participants (4736 men and 4543 women). In samples with systolic AOBP of 130 mm Hg or more, routine office and research systolic BP readings were substantially higher than AOBP readings, with a pooled mean difference of 14.5 mm Hg (95% CI, 11.8-17.2 mm Hg; n = 9; I2 = 94.3%; P < .001) for routine office systolic BP readings and 7.0 mm Hg (95% CI, 4.9-9.1 mm Hg; n = 9; I2 = 85.7%; P < .001) for research systolic BP readings. Systolic awake ambulatory BP and AOBP readings were similar, with a pooled mean difference of 0.3 mm Hg (95% CI, -1.1 to 1.7 mm Hg; n = 19; I2 = 90%; P < .001). Conclusions and Relevance: Automated office blood pressure readings, only when recorded properly with the patient sitting alone in a quiet place, are more accurate than office BP readings in routine clinical practice and are similar to awake ambulatory BP readings, with mean AOBP being devoid of any white coat effect. There has been some reluctance among physicians to adopt this technique because of uncertainty about its advantages compared with more traditional methods of recording BP during an office visit. Based on the evidence, AOBP should now be the preferred method for recording BP in routine clinical practice.

Entities:  

Mesh:

Year:  2019        PMID: 30715088      PMCID: PMC6439707          DOI: 10.1001/jamainternmed.2018.6551

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   44.409


  50 in total

1.  Evaluation of an automated sphygmomanometer for use in the office setting.

Authors:  Martin G Myers; Miguel Valdivieso
Journal:  Blood Press Monit       Date:  2012-06       Impact factor: 1.444

2.  Can sphygmomanometers designed for self-measurement of blood pressure in the home be used in office practice?

Authors:  Martin G Myers; Miguel Valdivieso; Mary Chessman; Alexander Kiss
Journal:  Blood Press Monit       Date:  2010-12       Impact factor: 1.444

Review 3.  Measurement of blood pressure in the office: recognizing the problem and proposing the solution.

Authors:  Martin G Myers; Marshall Godwin; Martin Dawes; Alexander Kiss; Sheldon W Tobe; Janusz Kaczorowski
Journal:  Hypertension       Date:  2009-12-28       Impact factor: 10.190

4.  Automatic office blood pressure measured without doctors or nurses present.

Authors:  Joji Ishikawa; Efthimia G Nasothimiou; Nikos Karpettas; Scott McDoniel; Seth D Feltheimer; George S Stergiou; Thomas G Pickering; Joseph E Schwartz
Journal:  Blood Press Monit       Date:  2012-06       Impact factor: 1.444

Review 5.  2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Authors:  Paul K Whelton; Robert M Carey; Wilbert S Aronow; Donald E Casey; Karen J Collins; Cheryl Dennison Himmelfarb; Sondra M DePalma; Samuel Gidding; Kenneth A Jamerson; Daniel W Jones; Eric J MacLaughlin; Paul Muntner; Bruce Ovbiagele; Sidney C Smith; Crystal C Spencer; Randall S Stafford; Sandra J Taler; Randal J Thomas; Kim A Williams; Jeff D Williamson; Jackson T Wright
Journal:  Hypertension       Date:  2017-11-13       Impact factor: 10.190

6.  Achieving the BpTRUth: emergency department hypertension screening and the Centers for Medicare & Medicaid Services quality measure.

Authors:  Elizabeth M Goldberg; Taneisha Wilson; Cory Saucier; Aaron M Brody; Phillip D Levy; Charles B Eaton; Roland C Merchant
Journal:  J Am Soc Hypertens       Date:  2017-03-30

7.  BpTRUth: do automated blood pressure monitors outperform mercury?

Authors:  Cedric Edwards; Swapnil Hiremath; Ankur Gupta; Brendan B McCormick; Marcel Ruzicka
Journal:  J Am Soc Hypertens       Date:  2013-08-19

8.  Comparability of Automated Office Blood Pressure to Daytime 24-Hour Ambulatory Blood Pressure.

Authors:  Jennifer S Ringrose; Jonathan Cena; Shannon Ip; Fraulein Morales; Peter Hamilton; Raj Padwal
Journal:  Can J Cardiol       Date:  2017-10-05       Impact factor: 5.223

9.  Eliminating the human factor in office blood pressure measurement.

Authors:  Martin G Myers
Journal:  J Clin Hypertens (Greenwich)       Date:  2014-01-04       Impact factor: 3.738

10.  Implications of Blood Pressure Measurement Technique for Implementation of Systolic Blood Pressure Intervention Trial (SPRINT).

Authors:  Rajiv Agarwal
Journal:  J Am Heart Assoc       Date:  2017-02-03       Impact factor: 5.501

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  56 in total

1.  The RICH LIFE Project: A cluster randomized pragmatic trial comparing the effectiveness of health system only vs. health system Plus a collaborative/stepped care intervention to reduce hypertension disparities.

Authors:  Lisa A Cooper; Jill A Marsteller; Kathryn A Carson; Katherine B Dietz; Romsai T Boonyasai; Carmen Alvarez; Chidinma A Ibe; Deidra C Crews; Hsin-Chieh Yeh; Edgar R Miller; Cheryl R Dennison-Himmelfarb; Lisa H Lubomski; Tanjala S Purnell; Felicia Hill-Briggs; Nae-Yuh Wang
Journal:  Am Heart J       Date:  2020-05-08       Impact factor: 4.749

Review 2.  Going Beyond the Guidelines in Individualising the Use of Antihypertensive Drugs in Older Patients.

Authors:  Ian A Scott; Sarah N Hilmer; David G Le Couteur
Journal:  Drugs Aging       Date:  2019-08       Impact factor: 3.923

3.  Quality of the screening process: An overlooked critical factor and an essential component of shared decision making about screening.

Authors:  James A Dickinson; Roland Grad; Brenda J Wilson; Neil R Bell; Harminder Singh; Olga Szafran; Guylène Thériault
Journal:  Can Fam Physician       Date:  2019-05       Impact factor: 3.275

4. 

Authors:  James A Dickinson; Roland Grad; Brenda J Wilson; Neil R Bell; Harminder Singh; Olga Szafran; Guylène Thériault
Journal:  Can Fam Physician       Date:  2019-05       Impact factor: 3.275

Review 5.  Prevalence of high blood pressure under 2017 ACC/AHA guidelines: a systematic review and meta-analysis.

Authors:  Peisheng Xiong; Zhixi Liu; Meijuan Xiong; Feng Xie
Journal:  J Hum Hypertens       Date:  2020-12-08       Impact factor: 3.012

6.  The Impact of Measurement Methods on Office Blood Pressure and Management of Hypertension in General Practice.

Authors:  Julia Höller; Linda Elizabeth Villagomez Fuentes; Klaus Matthias; Reinhold Kreutz
Journal:  High Blood Press Cardiovasc Prev       Date:  2019-11-09

7.  Automated office BP measurement: The new standard in HTN screening.

Authors:  Samuel Miguel Tiglao; Erica S Meisenheimer; Robert C Marshall; Corey Lyon
Journal:  J Fam Pract       Date:  2021-05       Impact factor: 0.493

8.  Calibration and discrimination of the Framingham Risk Score and the Pooled Cohort Equations.

Authors:  Dennis T Ko; Atul Sivaswamy; Maneesh Sud; Gynter Kotrri; Paymon Azizi; Maria Koh; Peter C Austin; Douglas S Lee; Idan Roifman; George Thanassoulis; Karen Tu; Jacob A Udell; Harindra C Wijeysundera; Todd J Anderson
Journal:  CMAJ       Date:  2020-04-27       Impact factor: 8.262

Review 9.  Resistant Hypertension Management: Comparison of the 2017 American and 2018 European High Blood Pressure Guidelines.

Authors:  Guido Grassi; David A Calhoun; Giuseppe Mancia; Robert M Carey
Journal:  Curr Hypertens Rep       Date:  2019-07-18       Impact factor: 5.369

Review 10.  Blood Pressure Measurement: A KDOQI Perspective.

Authors:  Paul E Drawz; Srinivasan Beddhu; Holly J Kramer; Michael Rakotz; Michael V Rocco; Paul K Whelton
Journal:  Am J Kidney Dis       Date:  2019-12-18       Impact factor: 8.860

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