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Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification?

Objective. The aim of this study is to define the normal range for average real variability (ARV) and to establish whether it can be considered as an additional cardiovascular risk factor. Methods. In this observational study, 110 treated hypertensive patients were included and admitted for antihype...

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Autores principales: Magdás, Annamária, Szilágyi, László, Incze, Alexandru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4876211/
https://www.ncbi.nlm.nih.gov/pubmed/27247614
http://dx.doi.org/10.1155/2016/7816830
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author Magdás, Annamária
Szilágyi, László
Incze, Alexandru
author_facet Magdás, Annamária
Szilágyi, László
Incze, Alexandru
author_sort Magdás, Annamária
collection PubMed
description Objective. The aim of this study is to define the normal range for average real variability (ARV) and to establish whether it can be considered as an additional cardiovascular risk factor. Methods. In this observational study, 110 treated hypertensive patients were included and admitted for antihypertensive treatment adjustment. Circadian blood pressure was recorded with validated devices. Blood pressure variability (BPV) was assessed according to the ARV definition. Based on their variability, patients were classified into low, medium, and high variability groups using the fuzzy c-means algorithm. To assess cardiovascular risk, blood samples were collected. Characteristics of the groups were compared by ANOVA tests. Results. Low variability was defined as ARV below 9.8 mmHg (32 patients), medium as 9.8–12.8 mmHg (48 patients), and high variability above 12.8 mmHg (30 patients). Mean systolic blood pressure was 131.2 ± 16.7, 135.0 ± 12.1, and 141.5 ± 11.4 mmHg in the low, medium, and high variability groups, respectively (p = 0.0113). Glomerular filtration rate was 78.6 ± 29.3, 74.8 ± 26.4, and 62.7 ± 23.2 mL/min/1.73 m(2) in the low, medium, and high variability groups, respectively (p = 0.0261). Conclusion. Increased values of average real variability represent an additional cardiovascular risk factor. Therefore, reducing BP variability might be as important as achieving optimal BP levels, but there is need for further studies to define a widely acceptable threshold value.
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spelling pubmed-48762112016-05-31 Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification? Magdás, Annamária Szilágyi, László Incze, Alexandru Comput Math Methods Med Research Article Objective. The aim of this study is to define the normal range for average real variability (ARV) and to establish whether it can be considered as an additional cardiovascular risk factor. Methods. In this observational study, 110 treated hypertensive patients were included and admitted for antihypertensive treatment adjustment. Circadian blood pressure was recorded with validated devices. Blood pressure variability (BPV) was assessed according to the ARV definition. Based on their variability, patients were classified into low, medium, and high variability groups using the fuzzy c-means algorithm. To assess cardiovascular risk, blood samples were collected. Characteristics of the groups were compared by ANOVA tests. Results. Low variability was defined as ARV below 9.8 mmHg (32 patients), medium as 9.8–12.8 mmHg (48 patients), and high variability above 12.8 mmHg (30 patients). Mean systolic blood pressure was 131.2 ± 16.7, 135.0 ± 12.1, and 141.5 ± 11.4 mmHg in the low, medium, and high variability groups, respectively (p = 0.0113). Glomerular filtration rate was 78.6 ± 29.3, 74.8 ± 26.4, and 62.7 ± 23.2 mL/min/1.73 m(2) in the low, medium, and high variability groups, respectively (p = 0.0261). Conclusion. Increased values of average real variability represent an additional cardiovascular risk factor. Therefore, reducing BP variability might be as important as achieving optimal BP levels, but there is need for further studies to define a widely acceptable threshold value. Hindawi Publishing Corporation 2016 2016-05-09 /pmc/articles/PMC4876211/ /pubmed/27247614 http://dx.doi.org/10.1155/2016/7816830 Text en Copyright © 2016 Annamária Magdás et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Magdás, Annamária
Szilágyi, László
Incze, Alexandru
Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification?
title Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification?
title_full Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification?
title_fullStr Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification?
title_full_unstemmed Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification?
title_short Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification?
title_sort can ambulatory blood pressure variability contribute to individual cardiovascular risk stratification?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4876211/
https://www.ncbi.nlm.nih.gov/pubmed/27247614
http://dx.doi.org/10.1155/2016/7816830
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