Michael Roerecke1, Janusz Kaczorowski2, Martin G Myers3. 1. Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. 2. University of Montreal Hospital Research Centre, Department of Family and Emergency Medicine, Université de Montréal, Montreal, Québec, Canada. 3. Schulich Heart Program, Division of Cardiology, Sunnybrook Health Sciences Centre, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
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.
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.
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
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
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
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
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
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
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
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
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
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