Arterial stiffness and its association with clustering of metabolic syndrome risk factors

Abstract Background Metabolic syndrome (MetS) is associated with structural and functional vascular abnormalities, which may lead to increased arterial stiffness, more frequent cardiovascular events and higher mortality. However, the role played by clustering of risk factors and the combining patter...

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Main Authors: Wanda R. P. Lopes-Vicente, Sara Rodrigues, Felipe X. Cepeda, Camila Paixão Jordão, Valéria Costa-Hong, Akothirene C. B. Dutra-Marques, Jefferson C. Carvalho, Maria Janieire N. N. Alves, Luiz A. Bortolotto, Ivani C. Trombetta
Format: Article
Language:English
Published: BMC 2017-10-01
Series:Diabetology & Metabolic Syndrome
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Online Access:http://link.springer.com/article/10.1186/s13098-017-0286-1
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author Wanda R. P. Lopes-Vicente
Sara Rodrigues
Felipe X. Cepeda
Camila Paixão Jordão
Valéria Costa-Hong
Akothirene C. B. Dutra-Marques
Jefferson C. Carvalho
Maria Janieire N. N. Alves
Luiz A. Bortolotto
Ivani C. Trombetta
author_facet Wanda R. P. Lopes-Vicente
Sara Rodrigues
Felipe X. Cepeda
Camila Paixão Jordão
Valéria Costa-Hong
Akothirene C. B. Dutra-Marques
Jefferson C. Carvalho
Maria Janieire N. N. Alves
Luiz A. Bortolotto
Ivani C. Trombetta
author_sort Wanda R. P. Lopes-Vicente
collection DOAJ
description Abstract Background Metabolic syndrome (MetS) is associated with structural and functional vascular abnormalities, which may lead to increased arterial stiffness, more frequent cardiovascular events and higher mortality. However, the role played by clustering of risk factors and the combining pattern of MetS risk factors and their association with the arterial stiffness have yet to be fully understood. Age, hypertension and diabetes mellitus seem to be strongly associated with increased pulse wave velocity (PWV). This study aimed at determining the clustering and combining pattern of MetS risk factors and their association with the arterial stiffness in non-diabetic and non-hypertensive patients. Methods Recently diagnosed and untreated patients with MetS (n = 64, 49 ± 8 year, 32 ± 4 kg/m2) were selected, according to ATP III criteria and compared to a control group (Control, n = 17, 49 ± 6 year, 27 ± 2 kg/m2). Arterial stiffness was evaluated by PWV in the carotid-femoral segment. Patients were categorized and analyzed according MetS risk factors clustering (3, 4 and 5 factors) and its combinations. Results Patients with MetS had increased PWV when compared to Control (7.8 ± 1.1 vs. 7.0 ± 0.5 m/s, p < 0.001). In multivariate analysis, the variables that remained as predictors of PWV were age (β = 0.450, p < 0.001), systolic blood pressure (β = 0.211, p = 0.023) and triglycerides (β = 0.212, p = 0.037). The increased number of risk factors reflected in a progressive increase in PWV. When adjusted to systolic blood pressure, PWV was greater in the group with 5 risk factors when compared to the group with 3 risk factors and Control (8.5 ± 0.4 vs. 7.5 ± 0.2, p = 0.011 and 7.2 ± 0.3 m/s, p = 0.012). Similarly, the 4 risk factors group had higher PWV than the Control (7.9 ± 0.2 vs. 7.2 ± 0.3, p = 0.047). Conclusions The number of risk factors seems to increase arterial stiffness. Notably, besides age and increased systolic blood pressure, alterations in the triglycerides worsened the stiffness of large vessels, emphasizing the importance in addressing this risk factor in MetS patients.
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spelling doaj.art-1c57e3614a4247a89cfd05e73e636d952022-12-22T00:10:48ZengBMCDiabetology & Metabolic Syndrome1758-59962017-10-01911810.1186/s13098-017-0286-1Arterial stiffness and its association with clustering of metabolic syndrome risk factorsWanda R. P. Lopes-Vicente0Sara Rodrigues1Felipe X. Cepeda2Camila Paixão Jordão3Valéria Costa-Hong4Akothirene C. B. Dutra-Marques5Jefferson C. Carvalho6Maria Janieire N. N. Alves7Luiz A. Bortolotto8Ivani C. Trombetta9Universidade Nove de Julho (UNINOVE), Programa de Pós Graduação em MedicinaHeart Institute (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São PauloHeart Institute (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São PauloHeart Institute (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São PauloHeart Institute (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São PauloHeart Institute (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São PauloHeart Institute (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São PauloHeart Institute (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São PauloHeart Institute (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São PauloUniversidade Nove de Julho (UNINOVE), Programa de Pós Graduação em MedicinaAbstract Background Metabolic syndrome (MetS) is associated with structural and functional vascular abnormalities, which may lead to increased arterial stiffness, more frequent cardiovascular events and higher mortality. However, the role played by clustering of risk factors and the combining pattern of MetS risk factors and their association with the arterial stiffness have yet to be fully understood. Age, hypertension and diabetes mellitus seem to be strongly associated with increased pulse wave velocity (PWV). This study aimed at determining the clustering and combining pattern of MetS risk factors and their association with the arterial stiffness in non-diabetic and non-hypertensive patients. Methods Recently diagnosed and untreated patients with MetS (n = 64, 49 ± 8 year, 32 ± 4 kg/m2) were selected, according to ATP III criteria and compared to a control group (Control, n = 17, 49 ± 6 year, 27 ± 2 kg/m2). Arterial stiffness was evaluated by PWV in the carotid-femoral segment. Patients were categorized and analyzed according MetS risk factors clustering (3, 4 and 5 factors) and its combinations. Results Patients with MetS had increased PWV when compared to Control (7.8 ± 1.1 vs. 7.0 ± 0.5 m/s, p < 0.001). In multivariate analysis, the variables that remained as predictors of PWV were age (β = 0.450, p < 0.001), systolic blood pressure (β = 0.211, p = 0.023) and triglycerides (β = 0.212, p = 0.037). The increased number of risk factors reflected in a progressive increase in PWV. When adjusted to systolic blood pressure, PWV was greater in the group with 5 risk factors when compared to the group with 3 risk factors and Control (8.5 ± 0.4 vs. 7.5 ± 0.2, p = 0.011 and 7.2 ± 0.3 m/s, p = 0.012). Similarly, the 4 risk factors group had higher PWV than the Control (7.9 ± 0.2 vs. 7.2 ± 0.3, p = 0.047). Conclusions The number of risk factors seems to increase arterial stiffness. Notably, besides age and increased systolic blood pressure, alterations in the triglycerides worsened the stiffness of large vessels, emphasizing the importance in addressing this risk factor in MetS patients.http://link.springer.com/article/10.1186/s13098-017-0286-1Metabolic syndromeClusteringPulse wave velocityArterial stiffness
spellingShingle Wanda R. P. Lopes-Vicente
Sara Rodrigues
Felipe X. Cepeda
Camila Paixão Jordão
Valéria Costa-Hong
Akothirene C. B. Dutra-Marques
Jefferson C. Carvalho
Maria Janieire N. N. Alves
Luiz A. Bortolotto
Ivani C. Trombetta
Arterial stiffness and its association with clustering of metabolic syndrome risk factors
Diabetology & Metabolic Syndrome
Metabolic syndrome
Clustering
Pulse wave velocity
Arterial stiffness
title Arterial stiffness and its association with clustering of metabolic syndrome risk factors
title_full Arterial stiffness and its association with clustering of metabolic syndrome risk factors
title_fullStr Arterial stiffness and its association with clustering of metabolic syndrome risk factors
title_full_unstemmed Arterial stiffness and its association with clustering of metabolic syndrome risk factors
title_short Arterial stiffness and its association with clustering of metabolic syndrome risk factors
title_sort arterial stiffness and its association with clustering of metabolic syndrome risk factors
topic Metabolic syndrome
Clustering
Pulse wave velocity
Arterial stiffness
url http://link.springer.com/article/10.1186/s13098-017-0286-1
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