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Subtypes of Premorbid Metabolic Syndrome and Associated Clinical Outcomes in Older Adults

BACKGROUND: Metabolic syndrome has been shown to be a risk for new onset of cardiovascular disease (CVD) and type 2 diabetes. The subclasses of metabolic syndrome and any associated adverse health outcomes remain obscure. This study aimed to explore potential subtypes of metabolic syndrome, their as...

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Autores principales: Lin, Chu-Sheng, Lee, Wei-Ju, Lin, Shih-Yi, Lin, Hui-Ping, Chen, Ran-Chou, Lin, Chi-Hung, Chen, Liang-Kung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873979/
https://www.ncbi.nlm.nih.gov/pubmed/35223876
http://dx.doi.org/10.3389/fmed.2021.698728
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author Lin, Chu-Sheng
Lee, Wei-Ju
Lin, Shih-Yi
Lin, Hui-Ping
Chen, Ran-Chou
Lin, Chi-Hung
Chen, Liang-Kung
author_facet Lin, Chu-Sheng
Lee, Wei-Ju
Lin, Shih-Yi
Lin, Hui-Ping
Chen, Ran-Chou
Lin, Chi-Hung
Chen, Liang-Kung
author_sort Lin, Chu-Sheng
collection PubMed
description BACKGROUND: Metabolic syndrome has been shown to be a risk for new onset of cardiovascular disease (CVD) and type 2 diabetes. The subclasses of metabolic syndrome and any associated adverse health outcomes remain obscure. This study aimed to explore potential subtypes of metabolic syndrome, their associations with incidental diabetes, and any Major Adverse Cardiovascular Events (MACE). METHODS: Data for the retrospective cohort study were extracted from the New Taipei City Elderly Health Examination Database in the years 2014 and 2016. Demographic data, status of metabolic syndrome, its components, and latent class analysis (LCA) were analyzed. All participants were aged 65 years and older, with those having a prior history of CVD, cerebrovascular disease, diabetes mellitus (DM), and currently taking medications for hypertension, diabetes, and dyslipidemia were excluded. RESULTS: A total of 4,537 senior citizens were enrolled, with 2,207 (48.6%) of them identified as men. The prevalence of both metabolic syndrome and central obesity was increased with age. A 4-latent class model was fitted for participants diagnosed with metabolic syndrome. The central obesity (ABD)+ hyperglycemia (GLU)+ reduced HDL-C (HDL)+ high Blood Pressure (BP) group displayed the highest hazard ratio (HR) for predicting the new onset of diabetes, while the ABD+HDL+BP group showed a high risk for both CVD and MACE when compared after 2 years of follow-up. CONCLUSIONS: This epidemiological analysis demonstrated that the risks of developing new-onset diabetes, CVD, and MACE varied among the different subtypes of metabolic syndrome.
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spelling pubmed-88739792022-02-26 Subtypes of Premorbid Metabolic Syndrome and Associated Clinical Outcomes in Older Adults Lin, Chu-Sheng Lee, Wei-Ju Lin, Shih-Yi Lin, Hui-Ping Chen, Ran-Chou Lin, Chi-Hung Chen, Liang-Kung Front Med (Lausanne) Medicine BACKGROUND: Metabolic syndrome has been shown to be a risk for new onset of cardiovascular disease (CVD) and type 2 diabetes. The subclasses of metabolic syndrome and any associated adverse health outcomes remain obscure. This study aimed to explore potential subtypes of metabolic syndrome, their associations with incidental diabetes, and any Major Adverse Cardiovascular Events (MACE). METHODS: Data for the retrospective cohort study were extracted from the New Taipei City Elderly Health Examination Database in the years 2014 and 2016. Demographic data, status of metabolic syndrome, its components, and latent class analysis (LCA) were analyzed. All participants were aged 65 years and older, with those having a prior history of CVD, cerebrovascular disease, diabetes mellitus (DM), and currently taking medications for hypertension, diabetes, and dyslipidemia were excluded. RESULTS: A total of 4,537 senior citizens were enrolled, with 2,207 (48.6%) of them identified as men. The prevalence of both metabolic syndrome and central obesity was increased with age. A 4-latent class model was fitted for participants diagnosed with metabolic syndrome. The central obesity (ABD)+ hyperglycemia (GLU)+ reduced HDL-C (HDL)+ high Blood Pressure (BP) group displayed the highest hazard ratio (HR) for predicting the new onset of diabetes, while the ABD+HDL+BP group showed a high risk for both CVD and MACE when compared after 2 years of follow-up. CONCLUSIONS: This epidemiological analysis demonstrated that the risks of developing new-onset diabetes, CVD, and MACE varied among the different subtypes of metabolic syndrome. Frontiers Media S.A. 2022-02-11 /pmc/articles/PMC8873979/ /pubmed/35223876 http://dx.doi.org/10.3389/fmed.2021.698728 Text en Copyright © 2022 Lin, Lee, Lin, Lin, Chen, Lin and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Lin, Chu-Sheng
Lee, Wei-Ju
Lin, Shih-Yi
Lin, Hui-Ping
Chen, Ran-Chou
Lin, Chi-Hung
Chen, Liang-Kung
Subtypes of Premorbid Metabolic Syndrome and Associated Clinical Outcomes in Older Adults
title Subtypes of Premorbid Metabolic Syndrome and Associated Clinical Outcomes in Older Adults
title_full Subtypes of Premorbid Metabolic Syndrome and Associated Clinical Outcomes in Older Adults
title_fullStr Subtypes of Premorbid Metabolic Syndrome and Associated Clinical Outcomes in Older Adults
title_full_unstemmed Subtypes of Premorbid Metabolic Syndrome and Associated Clinical Outcomes in Older Adults
title_short Subtypes of Premorbid Metabolic Syndrome and Associated Clinical Outcomes in Older Adults
title_sort subtypes of premorbid metabolic syndrome and associated clinical outcomes in older adults
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873979/
https://www.ncbi.nlm.nih.gov/pubmed/35223876
http://dx.doi.org/10.3389/fmed.2021.698728
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