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Association of metabolic syndrome and electrocardiographic markers of subclinical cardiovascular disease

BACKGROUND: The metabolic syndrome (MetS) and its components are well-established risk factors for cardiovascular diseases (CVD). It is inconclusive whether MetS and MetS score are associated with electrocardiographic markers of subclinical CVD, therefore we investigated this in a population without...

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Autores principales: Elffers, Theodora W., de Mutsert, Renée, Lamb, Hildo J., Maan, Arie C., Macfarlane, Peter W., Willems van Dijk, Ko, Rosendaal, Frits R., Jukema, J. Wouter, Trompet, Stella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441065/
https://www.ncbi.nlm.nih.gov/pubmed/28539979
http://dx.doi.org/10.1186/s13098-017-0238-9
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author Elffers, Theodora W.
de Mutsert, Renée
Lamb, Hildo J.
Maan, Arie C.
Macfarlane, Peter W.
Willems van Dijk, Ko
Rosendaal, Frits R.
Jukema, J. Wouter
Trompet, Stella
author_facet Elffers, Theodora W.
de Mutsert, Renée
Lamb, Hildo J.
Maan, Arie C.
Macfarlane, Peter W.
Willems van Dijk, Ko
Rosendaal, Frits R.
Jukema, J. Wouter
Trompet, Stella
author_sort Elffers, Theodora W.
collection PubMed
description BACKGROUND: The metabolic syndrome (MetS) and its components are well-established risk factors for cardiovascular diseases (CVD). It is inconclusive whether MetS and MetS score are associated with electrocardiographic markers of subclinical CVD, therefore we investigated this in a population without pre-existing CVD. METHODS: We performed a cross-sectional analysis in the Netherlands Epidemiology of Obesity study, a population-based cohort including 6671 participants aged 45–65. We excluded participants with pre-existing CVD (n = 499) or missing MetS components (n = 58). MetS was defined based on a modified definition of Adult Treatment Panel III. Subclinical CVD parameters were determined with 12-lead ECGs. MetS score was defined as number of abnormal MetS components and obesity as Body Mass Index (BMI) ≥30 kg/m(2). We performed weighted adjusted linear regression analyses. RESULTS: Our study population (n = 6114) had a mean (SD) BMI of 26.3 (4.4) kg/m(2) and MetS was present in 24% of participants. All ECG parameters differed between participants with and without MetS. Per additional MetS component, heart rate was 0.17 SD (95% CI 0.15, 0.19) higher, P wave duration, QRS complex duration and corrected QT interval were longer [0.07 SD (0.05, 0.10), 0.04 SD (0.01, 0.06) and 0.05 SD (0.02, 0.08) respectively], P wave axis, T wave axis and QRS axis were lower [−0.10 SD (−0.12, −0.07), −0.07 SD (−0.10, −0.05) and −0.19 SD (−0.22, −0.16)] and percentage small Q-waves also increased per additional MetS component. Associations were stronger in non-obese than obese participants. In joint modelling of all MetS components, increased waist circumference showed strongest associations with ECG parameters. CONCLUSIONS: Metabolic syndrome score and its individual components, in particular abdominal obesity, are associated with ECG markers of subclinical CVD, showing the importance of limiting the amount of MetS components in both obese and non-obese persons. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13098-017-0238-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-54410652017-05-24 Association of metabolic syndrome and electrocardiographic markers of subclinical cardiovascular disease Elffers, Theodora W. de Mutsert, Renée Lamb, Hildo J. Maan, Arie C. Macfarlane, Peter W. Willems van Dijk, Ko Rosendaal, Frits R. Jukema, J. Wouter Trompet, Stella Diabetol Metab Syndr Research BACKGROUND: The metabolic syndrome (MetS) and its components are well-established risk factors for cardiovascular diseases (CVD). It is inconclusive whether MetS and MetS score are associated with electrocardiographic markers of subclinical CVD, therefore we investigated this in a population without pre-existing CVD. METHODS: We performed a cross-sectional analysis in the Netherlands Epidemiology of Obesity study, a population-based cohort including 6671 participants aged 45–65. We excluded participants with pre-existing CVD (n = 499) or missing MetS components (n = 58). MetS was defined based on a modified definition of Adult Treatment Panel III. Subclinical CVD parameters were determined with 12-lead ECGs. MetS score was defined as number of abnormal MetS components and obesity as Body Mass Index (BMI) ≥30 kg/m(2). We performed weighted adjusted linear regression analyses. RESULTS: Our study population (n = 6114) had a mean (SD) BMI of 26.3 (4.4) kg/m(2) and MetS was present in 24% of participants. All ECG parameters differed between participants with and without MetS. Per additional MetS component, heart rate was 0.17 SD (95% CI 0.15, 0.19) higher, P wave duration, QRS complex duration and corrected QT interval were longer [0.07 SD (0.05, 0.10), 0.04 SD (0.01, 0.06) and 0.05 SD (0.02, 0.08) respectively], P wave axis, T wave axis and QRS axis were lower [−0.10 SD (−0.12, −0.07), −0.07 SD (−0.10, −0.05) and −0.19 SD (−0.22, −0.16)] and percentage small Q-waves also increased per additional MetS component. Associations were stronger in non-obese than obese participants. In joint modelling of all MetS components, increased waist circumference showed strongest associations with ECG parameters. CONCLUSIONS: Metabolic syndrome score and its individual components, in particular abdominal obesity, are associated with ECG markers of subclinical CVD, showing the importance of limiting the amount of MetS components in both obese and non-obese persons. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13098-017-0238-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-22 /pmc/articles/PMC5441065/ /pubmed/28539979 http://dx.doi.org/10.1186/s13098-017-0238-9 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Elffers, Theodora W.
de Mutsert, Renée
Lamb, Hildo J.
Maan, Arie C.
Macfarlane, Peter W.
Willems van Dijk, Ko
Rosendaal, Frits R.
Jukema, J. Wouter
Trompet, Stella
Association of metabolic syndrome and electrocardiographic markers of subclinical cardiovascular disease
title Association of metabolic syndrome and electrocardiographic markers of subclinical cardiovascular disease
title_full Association of metabolic syndrome and electrocardiographic markers of subclinical cardiovascular disease
title_fullStr Association of metabolic syndrome and electrocardiographic markers of subclinical cardiovascular disease
title_full_unstemmed Association of metabolic syndrome and electrocardiographic markers of subclinical cardiovascular disease
title_short Association of metabolic syndrome and electrocardiographic markers of subclinical cardiovascular disease
title_sort association of metabolic syndrome and electrocardiographic markers of subclinical cardiovascular disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441065/
https://www.ncbi.nlm.nih.gov/pubmed/28539979
http://dx.doi.org/10.1186/s13098-017-0238-9
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