Literature DB >> 32634288

Regression to the mean in home blood pressure: Analyses of the BP GUIDE study.

Nelson Wang1,2,3, Emily R Atkins1,4, Abdul Salam5, Myles N Moore6, James E Sharman6, Anthony Rodgers1.   

Abstract

The aim of our study was to estimate the size of regression to the mean with home blood pressure (BP) monitoring and compare with that for office BP. Office and home BP measures were obtained from the BP GUIDE (value of central Blood Pressure for GUIDing managEment for hypertension) study, in which 286 patients had BP measured every 3 months for 12 months. Patients were categorized by 10 mm Hg strata of baseline BP, and regression to the mean measures was calculated for home and office BP. High baseline home BP readings tended to be lower on long-term follow-up, and low baseline readings tended to be higher. For example, patients in the group with mean baseline home systolic BP ≥ 150 mm Hg had a mean baseline systolic BP of 156 mm Hg, which fell to 143 mm Hg at 12 months; and patients in the group with mean baseline home systolic BP < 120 mm Hg had a mean baseline systolic BP of 113 mm Hg which rose to 120 mm Hg at 12 months. Similar patterns were seen in intervention and control groups, and for diastolic BP. The regression dilution ratio for home systolic BP and diastolic BP was 0.52 and 0.64, respectively, compared to 0.40 and 0.55 for office systolic BP and diastolic BP, respectively. Home BP is subject to regression to the mean to a similar degree as office BP. These findings have implications for the diagnosis and management of hypertension using home BP.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  cardiovascular disease; clinical decision making; diagnostic errors; home blood pressure monitoring

Mesh:

Year:  2020        PMID: 32634288      PMCID: PMC8029697          DOI: 10.1111/jch.13933

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


  27 in total

Review 1.  Regression to the mean: what it is and how to deal with it.

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Authors:  James E Sharman; Faline S Howes; Geoffrey A Head; Barry P McGrath; Michael Stowasser; Markus Schlaich; Paul Glasziou; Mark R Nelson
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  2 in total

1.  Regression to the mean in home blood pressure: Analyses of the BP GUIDE study.

Authors:  Nelson Wang; Emily R Atkins; Abdul Salam; Myles N Moore; James E Sharman; Anthony Rodgers
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-07-07       Impact factor: 3.738

2.  Validation of a Practical Approach to Blood Pressure Measurement: Secondary Analysis of Data from a Nationally Representative Survey in India.

Authors:  Roopa Shivashankar; Bhawna Sharma; Andrew E Moran; Anupam Khungar Pathni
Journal:  Glob Heart       Date:  2021-12-22
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