Literature DB >> 20150823

A proposed algorithm for diagnosing hypertension using automated office blood pressure measurement.

Martin G Myers1.   

Abstract

OBJECTIVE: To validate an algorithm for the interpretation of automated office blood pressure (AOBP) measurement based upon data from untreated patients referred by physicians in the community for 24-h ambulatory blood pressure monitoring (ABPM).
METHODS: An algorithm for interpreting AOBP readings was developed taking into account the previously documented equivalence of AOBP and mean awake ambulatory BP (ABP; mmHg), which were each classified as optimum BP (<130/80), borderline BP (130-139/80-89) and hypertension (>or=140/90). This classification was applied to data derived from 254 untreated patients undergoing 24-h ABPM, AOBP and routine manual BP taken at the patient's own family physician's office.
RESULTS: The mean awake ABP (135.3 +/- 12.4/81.0 +/- 10.2) was similar to the mean AOBP (132.6 +/- 17.4/80.0 +/- 11.1) with both values being significantly (P < 0.001) lower than the routine manual BP (149.7 +/- 15.2/89.3 +/- 9.5). Of the 69 patients with a systolic AOBP at least 140, only five (7.3%) exhibited white-coat hypertension with a normal mean awake ambulatory systolic BP less than 130. Similarly, of the 47 patients with a diastolic AOBP at least 90, none had optimum BP (diastolic BP < 80 mmHg on ABPM). White-coat hypertension was significantly (P = 0.005/P = 0.006) more prevalent for systolic/diastolic BP (22.1%/13.4%) when routine, manual BP readings were analysed.
CONCLUSION: In contrast to routine manual office BP, a diagnosis of hypertension by AOBP is unlikely to be associated with an optimum awake ABP.

Entities:  

Mesh:

Year:  2010        PMID: 20150823     DOI: 10.1097/HJH.0b013e328335d091

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  28 in total

1.  Why use automated office blood pressure measurements in clinical practice?

Authors:  Emmanuel A Andreadis; Epameinondas T Angelopoulos; Gerasimos D Agaliotis; Athanasios P Tsakanikas; George P Mousoulis
Journal:  High Blood Press Cardiovasc Prev       Date:  2011-09-01

2.  Hypertension Canada's 2016 Canadian Hypertension Education Program guidelines for pharmacists: An update.

Authors:  Yazid N Al Hamarneh; Sherilyn K D Houle; Raj Padwal; Ross T Tsuyuki
Journal:  Can Pharm J (Ott)       Date:  2016-10-06

Review 3.  Clinical Implications of Different Blood Pressure Measurement Techniques.

Authors:  Paul Drawz
Journal:  Curr Hypertens Rep       Date:  2017-07       Impact factor: 5.369

4.  Unattended Automated Office Blood Pressure Measurement and Cardiac Target Organ Damage, A Pilot Study.

Authors:  Claudia Palomba; Simone Donadio; Grazia Canciello; Maria Angela Losi; Raffaele Izzo; Maria Virginia Manzi; Federica De Pisapia; Costantino Mancusi; Nicola De Luca
Journal:  High Blood Press Cardiovasc Prev       Date:  2019-08-23

5.  Doctor is my blood pressure OK?

Authors:  Beverly B Green
Journal:  J Hum Hypertens       Date:  2018-05-01       Impact factor: 3.012

6.  White-Coat Effect Is Uncommon in Patients With Refractory Hypertension.

Authors:  Mohammed Siddiqui; Eric K Judd; Suzanne Oparil; David A Calhoun
Journal:  Hypertension       Date:  2017-07-10       Impact factor: 10.190

7.  Thirty-minute compared to standardised office blood pressure measurement in general practice.

Authors:  Nynke Scherpbier-de Haan; Mark van der Wel; Gijs Schoenmakers; Steve Boudewijns; Petronella Peer; Chris van Weel; Theo Thien; Carel Bakx
Journal:  Br J Gen Pract       Date:  2011-09       Impact factor: 5.386

8.  Patient knowledge of blood pressure target is associated with improved blood pressure control in chronic kidney disease.

Authors:  Julie A Wright-Nunes; James Matthew Luther; Talat Alp Ikizler; Kerri L Cavanaugh
Journal:  Patient Educ Couns       Date:  2012-03-27

Review 9.  Automated office blood pressure measurement in primary care.

Authors:  Martin G Myers; Janusz Kaczorowski; Martin Dawes; Marshall Godwin
Journal:  Can Fam Physician       Date:  2014-02       Impact factor: 3.275

10.  Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.

Authors:  Pedro L Teixeira; Wei-Qi Wei; Robert M Cronin; Huan Mo; Jacob P VanHouten; Robert J Carroll; Eric LaRose; Lisa A Bastarache; S Trent Rosenbloom; Todd L Edwards; Dan M Roden; Thomas A Lasko; Richard A Dart; Anne M Nikolai; Peggy L Peissig; Joshua C Denny
Journal:  J Am Med Inform Assoc       Date:  2016-08-07       Impact factor: 4.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.