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| Content Provider | frontiers |
|---|---|
| Author | Lin, Chu-Sheng Lee, Wei-Ju Lin, Shih-Yi Lin, Hui-Ping Chen, Ran-Chou Lin, Chi-Hung Chen, Liang-Kung |
| Description | BackgroundMetabolic 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).MethodsData 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.ResultsA 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.ConclusionsThis epidemiological analysis demonstrated t... |
| Abstract | Introduction Metabolic syndrome has been shown to be a risk for new onset of cardiovascular disease and type 2 diabetes. The subclasses of metabolic syndrome and associated adverse health outcomes remain obscure. The study aimed to explore potential subtypes of metabolic syndromes and their associations with incidental diabetes, and major adverse cardiovascular events (MACE). Methods Data of the retrospective cohort study exercperted from the New Taipei City Elderly Health Examination Database in 2014 and 2016. Demographic data and status of metabolic syndrome as well as its components and latent class analysis were analyzed. All participants were aged 65 years and older, and those with prior history of cardiovascular disease, cerebrovascular disease, diabetes mellitus and current use of medications for hypertension, diabetes, and dyslipidemia were excluded. Results Total of 4,537 senior citizens participating were enrolled, and 2,207 (48.6%) of them were male. The prevalence of metabolic syndrome and central obesity increased with age. A 4-latent class model was fitted for participants with metabolic syndrome. The ABD+GLU+HDL+BP group had the highest HR for predicting new onset of diabetes. The ABD+ HDL+BP group had a high risk of cardiovascular disease and MACE compared after 2 years of follow-up. Conclusions This epidemiological analysis demonstrated that risks of developing new onset diabetes, cardiovascular disease, and MACE varied among the different subtypes of metabolic syndrome. |
| ISSN | 2296858X |
| DOI | 10.3389/fmed.2021.698728 |
| Volume Number | 8 |
| Journal | Frontiers in Medicine |
| Language | English |
| Publisher Date | 2022-02-11 |
| Access Restriction | Open |
| Subject Keyword | Metabolic syndrome Latent class analysis New onset diabetes mellitus Older adults Cardiovascular risk |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine |
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