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Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death
Few studies quantify a cascade of dynamic transitions on the detailed components of metabolic syndrome (MetS) and subsequent progressions to cardiovascular disease (CVD) and its death. A total of 47,495 subjects repeatedly attending a community-based integrated screening program in Taiwan were recru...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878780/ https://www.ncbi.nlm.nih.gov/pubmed/33574366 http://dx.doi.org/10.1038/s41598-021-83118-y |
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author | Lin, Ting-Yu Chien, Kuo-Liong Chiu, Yueh-Hsia Chuang, Pi-Chun Yen, Ming-Fang Chen, Hsiu-Hsi |
author_facet | Lin, Ting-Yu Chien, Kuo-Liong Chiu, Yueh-Hsia Chuang, Pi-Chun Yen, Ming-Fang Chen, Hsiu-Hsi |
author_sort | Lin, Ting-Yu |
collection | PubMed |
description | Few studies quantify a cascade of dynamic transitions on the detailed components of metabolic syndrome (MetS) and subsequent progressions to cardiovascular disease (CVD) and its death. A total of 47,495 subjects repeatedly attending a community-based integrated screening program in Taiwan were recruited. The refined MetS-related classification (RMRC) in relation to five criteria of MetS was defined as free of metabolic disorder (FMD, none of any criteria), mild metabolic disorder (MMD, 1–2 criteria) and MetS. A multistate Markov model was used for modelling such a multistate process. The estimated progression rate from FMD to MMD was 44.82% (95% CI 42.95–46.70%) whereas the regression rate was estimated as 29.11% (95% CI 27.77–30.45%). The progression rate from MMD to MetS was estimated as 6.15% (95% CI 5.89–6.42%). The estimated annual incidence rates of CVD increased with the severity of RMRC, being 1.62% (95% CI 1.46–1.79%) for FMD, 4.74% (95% CI 4.52–4.96%) for MMD, to 20.22% (95% CI 19.52–20.92%) for MetS. The estimated hazard rate of CVD death was 6.1 (95% CI 4.6–7.7) per thousand. Elucidating the dynamics of MetS-related transition and quantifying the incidence and prognosis of CVD provide a new insight into the design and the evaluation of intervention programs for CVD. |
format | Online Article Text |
id | pubmed-7878780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78787802021-02-12 Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death Lin, Ting-Yu Chien, Kuo-Liong Chiu, Yueh-Hsia Chuang, Pi-Chun Yen, Ming-Fang Chen, Hsiu-Hsi Sci Rep Article Few studies quantify a cascade of dynamic transitions on the detailed components of metabolic syndrome (MetS) and subsequent progressions to cardiovascular disease (CVD) and its death. A total of 47,495 subjects repeatedly attending a community-based integrated screening program in Taiwan were recruited. The refined MetS-related classification (RMRC) in relation to five criteria of MetS was defined as free of metabolic disorder (FMD, none of any criteria), mild metabolic disorder (MMD, 1–2 criteria) and MetS. A multistate Markov model was used for modelling such a multistate process. The estimated progression rate from FMD to MMD was 44.82% (95% CI 42.95–46.70%) whereas the regression rate was estimated as 29.11% (95% CI 27.77–30.45%). The progression rate from MMD to MetS was estimated as 6.15% (95% CI 5.89–6.42%). The estimated annual incidence rates of CVD increased with the severity of RMRC, being 1.62% (95% CI 1.46–1.79%) for FMD, 4.74% (95% CI 4.52–4.96%) for MMD, to 20.22% (95% CI 19.52–20.92%) for MetS. The estimated hazard rate of CVD death was 6.1 (95% CI 4.6–7.7) per thousand. Elucidating the dynamics of MetS-related transition and quantifying the incidence and prognosis of CVD provide a new insight into the design and the evaluation of intervention programs for CVD. Nature Publishing Group UK 2021-02-11 /pmc/articles/PMC7878780/ /pubmed/33574366 http://dx.doi.org/10.1038/s41598-021-83118-y Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lin, Ting-Yu Chien, Kuo-Liong Chiu, Yueh-Hsia Chuang, Pi-Chun Yen, Ming-Fang Chen, Hsiu-Hsi Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death |
title | Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death |
title_full | Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death |
title_fullStr | Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death |
title_full_unstemmed | Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death |
title_short | Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death |
title_sort | dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878780/ https://www.ncbi.nlm.nih.gov/pubmed/33574366 http://dx.doi.org/10.1038/s41598-021-83118-y |
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