Literature DB >> 23889719

Is it possible to shorten ambulatory blood pressure monitoring?

Talya Wolak1, Lior Wilk, Esther Paran, Arik Wolak, Bella Gutmacher, Elena Shleyfer, Michael Friger.   

Abstract

The aim of this investigation was to find a time segment in which average blood pressure (BP) has the best correlation with 24-hour BP control. A total of 240 patients with full ambulatory BP monitoring (ABPM) were included; 120 had controlled BP (systolic BP [SBP] ≤135 mm Hg and diastolic BP [DBP] ≤85 mm Hg) and 120 had uncontrolled BP (SBP >135 mm Hg and/or DBP >85 mm Hg). Each ABPM was divided into 6- and 8-hour segments. Evaluation for correlation between mean BP for each time segment and 24-hour BP control was performed using receiver operating characteristic curve analysis and Youden's index for threshold with the best sensitivity and specificity. The mean BP in the following segments showed the highest area under the curve (AUC) compared with average controlled 24-hour BP: SBP 2 am to 8 am (AUC, 0.918; threshold value of 133.5 mm Hg, sensitivity-0.752 and specificity-0.904); SBP 2 pm to 10 pm (AUC, 0.911; threshold value of 138.5 mm Hg, sensitivity-0.803 and specificity-0.878); and SBP 6 am to 2 pm (AUC, 0.903; threshold value of 140.5 mm Hg, sensitivity-0.778 and specificity-0.888). The time segment 2 pm to 10 pm was shown to have good correlation with 24-hour BP control (AUC >0.9; sensitivity and specificity >80%). This time segment might replace full ABPM as a screening measure for BP control or as abbreviated ABPM for patients with difficulty in performing full ABPM.
© 2013 Wiley Periodicals, Inc.

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Year:  2013        PMID: 23889719      PMCID: PMC8033839          DOI: 10.1111/jch.12123

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


  18 in total

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2.  A representative value for whole-day BP monitoring.

Authors:  M A Weber; J I Drayer; F A Wyle; D D Brewer
Journal:  JAMA       Date:  1982-10-01       Impact factor: 56.272

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

Authors:  Martin G Myers
Journal:  J Hypertens       Date:  2010-04       Impact factor: 4.844

4.  Ambulatory blood pressure monitoring in Australia: 2011 consensus position statement.

Authors:  Geoffrey A Head; Barry P McGrath; Anastasia S Mihailidou; Mark R Nelson; Markus P Schlaich; Michael Stowasser; Arduino A Mangoni; Diane Cowley; Mark A Brown; Lee-Anne Ruta; Alison Wilson
Journal:  J Hypertens       Date:  2012-02       Impact factor: 4.844

5.  Ambulatory blood pressure is superior to clinic blood pressure in predicting treatment-induced regression of left ventricular hypertrophy. SAMPLE Study Group. Study on Ambulatory Monitoring of Blood Pressure and Lisinopril Evaluation.

Authors:  G Mancia; A Zanchetti; E Agabiti-Rosei; G Benemio; R De Cesaris; R Fogari; A Pessina; C Porcellati; A Rappelli; A Salvetti; B Trimarco; E Agebiti-Rosei; A Pessino
Journal:  Circulation       Date:  1997-03-18       Impact factor: 29.690

6.  Influence of patient characteristics on success of ambulatory blood pressure monitoring.

Authors:  Michelle A Fravel; Michael E Ernst; Cynthia A Weber; Jeffrey D Dawson; Barry L Carter; George R Bergus
Journal:  Pharmacotherapy       Date:  2008-11       Impact factor: 4.705

7.  Indication-specific 6-h systolic blood pressure thresholds can approximate 24-h determination of blood pressure control.

Authors:  M E Ernst; G S Sezate; W Lin; C A Weber; J D Dawson; B L Carter; G R Bergus
Journal:  J Hum Hypertens       Date:  2010-06-24       Impact factor: 3.012

8.  Home blood pressure is as reliable as ambulatory blood pressure in predicting target-organ damage in hypertension.

Authors:  George S Stergiou; Katerina K Argyraki; Ioannis Moyssakis; Stylianos E Mastorantonakis; Apostolos D Achimastos; Vasilios G Karamanos; Leonidas G Roussias
Journal:  Am J Hypertens       Date:  2007-06       Impact factor: 2.689

9.  Tolerability of the Oscar 2 ambulatory blood pressure monitor among research participants: a cross-sectional repeated measures study.

Authors:  Anthony J Viera; Kara Lingley; Alan L Hinderliter
Journal:  BMC Med Res Methodol       Date:  2011-04-27       Impact factor: 4.615

10.  How well does a shortened time interval characterize results of a full ambulatory blood pressure monitoring session?

Authors:  Michael E Ernst; Cynthia A Weber; Jeffrey D Dawson; Michelle A O'Connor; Wenjiao Lin; Barry L Carter; George R Bergus
Journal:  J Clin Hypertens (Greenwich)       Date:  2008-06       Impact factor: 3.738

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  2 in total

1.  ABPM Induced Alarm Reaction: A Possible Cause of Overestimation of Daytime Blood Pressure Values Reduced By Treatment with Beta-Blockers.

Authors:  Francesco Salvo; Chiara Lonati; Monica Albano; Paolo Fogliacco; Andrea Riccardo Errani; Cinzia Vallo; Michele Berardi; Vito Meinero; Carlo Lorenzo Muzzulini; Alberto Morganti
Journal:  High Blood Press Cardiovasc Prev       Date:  2016-06-06

2.  Is it possible to shorten ambulatory blood pressure monitoring?

Authors:  Talya Wolak; Lior Wilk; Esther Paran; Arik Wolak; Bella Gutmacher; Elena Shleyfer; Michael Friger
Journal:  J Clin Hypertens (Greenwich)       Date:  2013-06-04       Impact factor: 3.738

  2 in total

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