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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Main Authors: Annamária Magdás, László Szilágyi, Alexandru Incze
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Computational and Mathematical Methods in Medicine
Online Access:http://dx.doi.org/10.1155/2016/7816830
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spelling doaj-28621214ee7a498d8d595bb09da19fb92020-11-25T00:14:07ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182016-01-01201610.1155/2016/78168307816830Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification?Annamária Magdás0László Szilágyi1Alexandru Incze2Department for Internal Medicine IV, University of Medicine and Pharmacy of Tîrgu Mureş, Strada Gheorghe Marinescu No. 1, 3rd Floor, 540103 Tîrgu Mureş, RomaniaFaculty of Technical and Human Sciences, Sapientia University of Transylvania, Şoseaua Sighişoarei 1/C, 540485 Tîrgu Mureş, RomaniaDepartment for Internal Medicine IV, University of Medicine and Pharmacy of Tîrgu Mureş, Strada Gheorghe Marinescu No. 1, 3rd Floor, 540103 Tîrgu Mureş, RomaniaObjective. 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 m2 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.http://dx.doi.org/10.1155/2016/7816830
collection DOAJ
language English
format Article
sources DOAJ
author Annamária Magdás
László Szilágyi
Alexandru Incze
spellingShingle Annamária Magdás
László Szilágyi
Alexandru Incze
Can Ambulatory Blood Pressure Variability Contribute to Individual Cardiovascular Risk Stratification?
Computational and Mathematical Methods in Medicine
author_facet Annamária Magdás
László Szilágyi
Alexandru Incze
author_sort Annamária Magdás
title 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_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_sort can ambulatory blood pressure variability contribute to individual cardiovascular risk stratification?
publisher Hindawi Limited
series Computational and Mathematical Methods in Medicine
issn 1748-670X
1748-6718
publishDate 2016-01-01
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 m2 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.
url http://dx.doi.org/10.1155/2016/7816830
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