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Association between different measurements of blood pressure variability by ABP monitoring and ankle-brachial index

BACKGROUND: Blood pressure (BP) variability has been associated with cardiovascular outcomes, but there is no consensus about the more effective method to measure it by ambulatory blood pressure monitoring (ABPM). We evaluated the association between three different methods to estimate BP variabilit...

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Autores principales: Wittke, Estefânia, Fuchs, Sandra C, Fuchs, Flávio D, Moreira, Leila B, Ferlin, Elton, Cichelero, Fábio T, Moreira, Carolina M, Neyeloff, Jeruza, Moreira, Marina B, Gus, Miguel
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2991275/
https://www.ncbi.nlm.nih.gov/pubmed/21050495
http://dx.doi.org/10.1186/1471-2261-10-55
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author Wittke, Estefânia
Fuchs, Sandra C
Fuchs, Flávio D
Moreira, Leila B
Ferlin, Elton
Cichelero, Fábio T
Moreira, Carolina M
Neyeloff, Jeruza
Moreira, Marina B
Gus, Miguel
author_facet Wittke, Estefânia
Fuchs, Sandra C
Fuchs, Flávio D
Moreira, Leila B
Ferlin, Elton
Cichelero, Fábio T
Moreira, Carolina M
Neyeloff, Jeruza
Moreira, Marina B
Gus, Miguel
author_sort Wittke, Estefânia
collection PubMed
description BACKGROUND: Blood pressure (BP) variability has been associated with cardiovascular outcomes, but there is no consensus about the more effective method to measure it by ambulatory blood pressure monitoring (ABPM). We evaluated the association between three different methods to estimate BP variability by ABPM and the ankle brachial index (ABI). METHODS AND RESULTS: In a cross-sectional study of patients with hypertension, BP variability was estimated by the time rate index (the first derivative of SBP over time), standard deviation (SD) of 24-hour SBP; and coefficient of variability of 24-hour SBP. ABI was measured with a doppler probe. The sample included 425 patients with a mean age of 57 ± 12 years, being 69.2% women, 26.1% current smokers and 22.1% diabetics. Abnormal ABI (≤ 0.90 or ≥ 1.40) was present in 58 patients. The time rate index was 0.516 ± 0.146 mmHg/min in patients with abnormal ABI versus 0.476 ± 0.124 mmHg/min in patients with normal ABI (P = 0.007). In a logistic regression model the time rate index was associated with ABI, regardless of age (OR = 6.9, 95% CI = 1.1- 42.1; P = 0.04). In a multiple linear regression model, adjusting for age, SBP and diabetes, the time rate index was strongly associated with ABI (P < 0.01). None of the other indexes of BP variability were associated with ABI in univariate and multivariate analyses. CONCLUSION: Time rate index is a sensible method to measure BP variability by ABPM. Its performance for risk stratification of patients with hypertension should be explored in longitudinal studies.
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spelling pubmed-29912752010-12-13 Association between different measurements of blood pressure variability by ABP monitoring and ankle-brachial index Wittke, Estefânia Fuchs, Sandra C Fuchs, Flávio D Moreira, Leila B Ferlin, Elton Cichelero, Fábio T Moreira, Carolina M Neyeloff, Jeruza Moreira, Marina B Gus, Miguel BMC Cardiovasc Disord Research Article BACKGROUND: Blood pressure (BP) variability has been associated with cardiovascular outcomes, but there is no consensus about the more effective method to measure it by ambulatory blood pressure monitoring (ABPM). We evaluated the association between three different methods to estimate BP variability by ABPM and the ankle brachial index (ABI). METHODS AND RESULTS: In a cross-sectional study of patients with hypertension, BP variability was estimated by the time rate index (the first derivative of SBP over time), standard deviation (SD) of 24-hour SBP; and coefficient of variability of 24-hour SBP. ABI was measured with a doppler probe. The sample included 425 patients with a mean age of 57 ± 12 years, being 69.2% women, 26.1% current smokers and 22.1% diabetics. Abnormal ABI (≤ 0.90 or ≥ 1.40) was present in 58 patients. The time rate index was 0.516 ± 0.146 mmHg/min in patients with abnormal ABI versus 0.476 ± 0.124 mmHg/min in patients with normal ABI (P = 0.007). In a logistic regression model the time rate index was associated with ABI, regardless of age (OR = 6.9, 95% CI = 1.1- 42.1; P = 0.04). In a multiple linear regression model, adjusting for age, SBP and diabetes, the time rate index was strongly associated with ABI (P < 0.01). None of the other indexes of BP variability were associated with ABI in univariate and multivariate analyses. CONCLUSION: Time rate index is a sensible method to measure BP variability by ABPM. Its performance for risk stratification of patients with hypertension should be explored in longitudinal studies. BioMed Central 2010-11-05 /pmc/articles/PMC2991275/ /pubmed/21050495 http://dx.doi.org/10.1186/1471-2261-10-55 Text en Copyright ©2010 Wittke et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wittke, Estefânia
Fuchs, Sandra C
Fuchs, Flávio D
Moreira, Leila B
Ferlin, Elton
Cichelero, Fábio T
Moreira, Carolina M
Neyeloff, Jeruza
Moreira, Marina B
Gus, Miguel
Association between different measurements of blood pressure variability by ABP monitoring and ankle-brachial index
title Association between different measurements of blood pressure variability by ABP monitoring and ankle-brachial index
title_full Association between different measurements of blood pressure variability by ABP monitoring and ankle-brachial index
title_fullStr Association between different measurements of blood pressure variability by ABP monitoring and ankle-brachial index
title_full_unstemmed Association between different measurements of blood pressure variability by ABP monitoring and ankle-brachial index
title_short Association between different measurements of blood pressure variability by ABP monitoring and ankle-brachial index
title_sort association between different measurements of blood pressure variability by abp monitoring and ankle-brachial index
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2991275/
https://www.ncbi.nlm.nih.gov/pubmed/21050495
http://dx.doi.org/10.1186/1471-2261-10-55
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