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Predicting out-of-office blood pressure level using repeated measurements in the clinic: an observational cohort study

OBJECTIVES: Identification of people with lower (white-coat effect) or higher (masked effect) blood pressure at home compared to the clinic usually requires ambulatory or home monitoring. This study assessed whether changes in SBP with repeated measurement at a single clinic predict subsequent diffe...

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Autores principales: Sheppard, James P., Holder, Roger, Nichols, Linda, Bray, Emma, Hobbs, F.D. Richard, Mant, Jonathan, Little, Paul, Williams, Bryan, Greenfield, Sheila, McManus, Richard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222615/
https://www.ncbi.nlm.nih.gov/pubmed/25144295
http://dx.doi.org/10.1097/HJH.0000000000000319
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author Sheppard, James P.
Holder, Roger
Nichols, Linda
Bray, Emma
Hobbs, F.D. Richard
Mant, Jonathan
Little, Paul
Williams, Bryan
Greenfield, Sheila
McManus, Richard J.
author_facet Sheppard, James P.
Holder, Roger
Nichols, Linda
Bray, Emma
Hobbs, F.D. Richard
Mant, Jonathan
Little, Paul
Williams, Bryan
Greenfield, Sheila
McManus, Richard J.
author_sort Sheppard, James P.
collection PubMed
description OBJECTIVES: Identification of people with lower (white-coat effect) or higher (masked effect) blood pressure at home compared to the clinic usually requires ambulatory or home monitoring. This study assessed whether changes in SBP with repeated measurement at a single clinic predict subsequent differences between clinic and home measurements. METHODS: This study used an observational cohort design and included 220 individuals aged 35–84 years, receiving treatment for hypertension, but whose SBP was not controlled. The characteristics of change in SBP over six clinic readings were defined as the SBP drop, the slope and the quadratic coefficient using polynomial regression modelling. The predictive abilities of these characteristics for lower or higher home SBP readings were investigated with logistic regression and repeated operating characteristic analysis. RESULTS: The single clinic SBP drop was predictive of the white-coat effect with a sensitivity of 90%, specificity of 50%, positive predictive value of 56% and negative predictive value of 88%. Predictive values for the masked effect and those of the slope and quadratic coefficient were slightly lower, but when the slope and quadratic variables were combined, the sensitivity, specificity, positive and negative predictive values for the masked effect were improved to 91, 48, 24 and 97%, respectively. CONCLUSION: Characteristics obtainable from multiple SBP measurements in a single clinic in patients with treated hypertension appear to reasonably predict those unlikely to have a large white-coat or masked effect, potentially allowing better targeting of out-of-office monitoring in routine clinical practice.
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spelling pubmed-42226152014-11-07 Predicting out-of-office blood pressure level using repeated measurements in the clinic: an observational cohort study Sheppard, James P. Holder, Roger Nichols, Linda Bray, Emma Hobbs, F.D. Richard Mant, Jonathan Little, Paul Williams, Bryan Greenfield, Sheila McManus, Richard J. J Hypertens ORIGINAL PAPERS: Blood pressure measurement OBJECTIVES: Identification of people with lower (white-coat effect) or higher (masked effect) blood pressure at home compared to the clinic usually requires ambulatory or home monitoring. This study assessed whether changes in SBP with repeated measurement at a single clinic predict subsequent differences between clinic and home measurements. METHODS: This study used an observational cohort design and included 220 individuals aged 35–84 years, receiving treatment for hypertension, but whose SBP was not controlled. The characteristics of change in SBP over six clinic readings were defined as the SBP drop, the slope and the quadratic coefficient using polynomial regression modelling. The predictive abilities of these characteristics for lower or higher home SBP readings were investigated with logistic regression and repeated operating characteristic analysis. RESULTS: The single clinic SBP drop was predictive of the white-coat effect with a sensitivity of 90%, specificity of 50%, positive predictive value of 56% and negative predictive value of 88%. Predictive values for the masked effect and those of the slope and quadratic coefficient were slightly lower, but when the slope and quadratic variables were combined, the sensitivity, specificity, positive and negative predictive values for the masked effect were improved to 91, 48, 24 and 97%, respectively. CONCLUSION: Characteristics obtainable from multiple SBP measurements in a single clinic in patients with treated hypertension appear to reasonably predict those unlikely to have a large white-coat or masked effect, potentially allowing better targeting of out-of-office monitoring in routine clinical practice. Lippincott Williams & Wilkins 2014-11 2014-09-09 /pmc/articles/PMC4222615/ /pubmed/25144295 http://dx.doi.org/10.1097/HJH.0000000000000319 Text en © 2014 Wolters Kluwer Health | Lippincott Williams & Wilkins http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle ORIGINAL PAPERS: Blood pressure measurement
Sheppard, James P.
Holder, Roger
Nichols, Linda
Bray, Emma
Hobbs, F.D. Richard
Mant, Jonathan
Little, Paul
Williams, Bryan
Greenfield, Sheila
McManus, Richard J.
Predicting out-of-office blood pressure level using repeated measurements in the clinic: an observational cohort study
title Predicting out-of-office blood pressure level using repeated measurements in the clinic: an observational cohort study
title_full Predicting out-of-office blood pressure level using repeated measurements in the clinic: an observational cohort study
title_fullStr Predicting out-of-office blood pressure level using repeated measurements in the clinic: an observational cohort study
title_full_unstemmed Predicting out-of-office blood pressure level using repeated measurements in the clinic: an observational cohort study
title_short Predicting out-of-office blood pressure level using repeated measurements in the clinic: an observational cohort study
title_sort predicting out-of-office blood pressure level using repeated measurements in the clinic: an observational cohort study
topic ORIGINAL PAPERS: Blood pressure measurement
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222615/
https://www.ncbi.nlm.nih.gov/pubmed/25144295
http://dx.doi.org/10.1097/HJH.0000000000000319
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