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Scoring systems of metabolic syndrome and prediction of cardiovascular events: A population based cohort study
BACKGROUND AND AIMS: Continuous scoring systems were developed versus traditional dichotomous approaches to define metabolic syndrome. The current study was carried out to evaluate the ability of scoring systems to predict fatal and nonfatal cardiovascular events. MATERIALS AND METHODS: The data of...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175260/ https://www.ncbi.nlm.nih.gov/pubmed/35419856 http://dx.doi.org/10.1002/clc.23827 |
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author | Motamed, Nima Ajdarkosh, Hossein Karbalaie Niya, Mohammad Hadi Panahi, Mahshid Farahani, Behzad Rezaie, Nader Nikkhah, Mehdi Faraji, Amir H. Hemmasi, Gholamreza Perumal, Dhayaneethie Ashrafi, G. Hossein Safarnezhad Tameshkel, Fahimeh Gholizadeh, Esmaeel Khoonsari, Mahmoodreza Zamani, Farhad |
author_facet | Motamed, Nima Ajdarkosh, Hossein Karbalaie Niya, Mohammad Hadi Panahi, Mahshid Farahani, Behzad Rezaie, Nader Nikkhah, Mehdi Faraji, Amir H. Hemmasi, Gholamreza Perumal, Dhayaneethie Ashrafi, G. Hossein Safarnezhad Tameshkel, Fahimeh Gholizadeh, Esmaeel Khoonsari, Mahmoodreza Zamani, Farhad |
author_sort | Motamed, Nima |
collection | PubMed |
description | BACKGROUND AND AIMS: Continuous scoring systems were developed versus traditional dichotomous approaches to define metabolic syndrome. The current study was carried out to evaluate the ability of scoring systems to predict fatal and nonfatal cardiovascular events. MATERIALS AND METHODS: The data of 5147 individuals aged 18 years or more obtained from a population‐based cohort study were analyzed. The occurrence of atherosclerotic cardiovascular disease (ASCVD) in the period of 7 years follow‐up was considered as the associated outcome. Joint Interim Statement (JIS) definition, as a traditional definition of metabolic syndrome (MetS), and two versions of MetS scoring systems, based on standardized regression weights from structural equation modeling (SEM) and simple method for quantifying metabolic syndrome (siMS) were considered as potential predictors. RESULTS: The scoring systems, particularly, based on SEM, were observed to have a significant association with composite cardiovascular events (HR = 1.388 [95% CI = 1.153–1.670], p = .001 in men and HR = 1.307 [0.95% CI = 1.120–1.526] in women) in multiple Cox proportional hazard regression analyses, whereas the traditional definition of MetS did not show any significant association. While both two scoring systems showed acceptable predictive abilities for cardiovascular events in women (MetS score based on SEM: area of under curve [AUC] = 0.7438 [95% CI = 0.6195–0.7903] and siMS: AUC = 0.7207 [95% CI = 0.6676–0.7738]), the two systems were not acceptable for identifying risk in men. CONCLUSION: Unlike the dichotomous definition of MetS, the scoring systems showed an independent association with cardiovascular events. Scoring systems, particularly those based on SEM, may be useful for the prediction of cardiovascular events in women. |
format | Online Article Text |
id | pubmed-9175260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91752602022-06-13 Scoring systems of metabolic syndrome and prediction of cardiovascular events: A population based cohort study Motamed, Nima Ajdarkosh, Hossein Karbalaie Niya, Mohammad Hadi Panahi, Mahshid Farahani, Behzad Rezaie, Nader Nikkhah, Mehdi Faraji, Amir H. Hemmasi, Gholamreza Perumal, Dhayaneethie Ashrafi, G. Hossein Safarnezhad Tameshkel, Fahimeh Gholizadeh, Esmaeel Khoonsari, Mahmoodreza Zamani, Farhad Clin Cardiol Clinical Investigations BACKGROUND AND AIMS: Continuous scoring systems were developed versus traditional dichotomous approaches to define metabolic syndrome. The current study was carried out to evaluate the ability of scoring systems to predict fatal and nonfatal cardiovascular events. MATERIALS AND METHODS: The data of 5147 individuals aged 18 years or more obtained from a population‐based cohort study were analyzed. The occurrence of atherosclerotic cardiovascular disease (ASCVD) in the period of 7 years follow‐up was considered as the associated outcome. Joint Interim Statement (JIS) definition, as a traditional definition of metabolic syndrome (MetS), and two versions of MetS scoring systems, based on standardized regression weights from structural equation modeling (SEM) and simple method for quantifying metabolic syndrome (siMS) were considered as potential predictors. RESULTS: The scoring systems, particularly, based on SEM, were observed to have a significant association with composite cardiovascular events (HR = 1.388 [95% CI = 1.153–1.670], p = .001 in men and HR = 1.307 [0.95% CI = 1.120–1.526] in women) in multiple Cox proportional hazard regression analyses, whereas the traditional definition of MetS did not show any significant association. While both two scoring systems showed acceptable predictive abilities for cardiovascular events in women (MetS score based on SEM: area of under curve [AUC] = 0.7438 [95% CI = 0.6195–0.7903] and siMS: AUC = 0.7207 [95% CI = 0.6676–0.7738]), the two systems were not acceptable for identifying risk in men. CONCLUSION: Unlike the dichotomous definition of MetS, the scoring systems showed an independent association with cardiovascular events. Scoring systems, particularly those based on SEM, may be useful for the prediction of cardiovascular events in women. John Wiley and Sons Inc. 2022-04-14 /pmc/articles/PMC9175260/ /pubmed/35419856 http://dx.doi.org/10.1002/clc.23827 Text en © 2022 The Authors. Clinical Cardiology published by Wiley Periodicals, LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Investigations Motamed, Nima Ajdarkosh, Hossein Karbalaie Niya, Mohammad Hadi Panahi, Mahshid Farahani, Behzad Rezaie, Nader Nikkhah, Mehdi Faraji, Amir H. Hemmasi, Gholamreza Perumal, Dhayaneethie Ashrafi, G. Hossein Safarnezhad Tameshkel, Fahimeh Gholizadeh, Esmaeel Khoonsari, Mahmoodreza Zamani, Farhad Scoring systems of metabolic syndrome and prediction of cardiovascular events: A population based cohort study |
title | Scoring systems of metabolic syndrome and prediction of cardiovascular events: A population based cohort study |
title_full | Scoring systems of metabolic syndrome and prediction of cardiovascular events: A population based cohort study |
title_fullStr | Scoring systems of metabolic syndrome and prediction of cardiovascular events: A population based cohort study |
title_full_unstemmed | Scoring systems of metabolic syndrome and prediction of cardiovascular events: A population based cohort study |
title_short | Scoring systems of metabolic syndrome and prediction of cardiovascular events: A population based cohort study |
title_sort | scoring systems of metabolic syndrome and prediction of cardiovascular events: a population based cohort study |
topic | Clinical Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175260/ https://www.ncbi.nlm.nih.gov/pubmed/35419856 http://dx.doi.org/10.1002/clc.23827 |
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