ArticleJournal of clinical & translational endocrinology2021
Which diagnostic criteria of metabolic syndrome are predictors of cardiovascular diseases in elderly populations?
Article in Journal of clinical & translational endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed, 2 citations in OpenAlex.
- Machine Learning Approach for Metabolic Syndrome Diagnosis Using Explainable Data-Augmentation-Based Classification.Diagnostics (Basel, Switzerland) · 2022Article
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8 authors at 4 institutions in 1 country.
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Abstract
introductionMetabolic syndrome (MetS) is one contributing factor to cardiovascular diseases (CVD). Although there have been several reports showing MetS to be a risk factor for CVD, there are limited data available on which of the diagnostic criteria for MetS carries the greatest risk for CVD in the elderly population. This study thus aimed to evaluate these criteria in terms of risk of CVD in this population.
methodsThis was a retrospective cohort study conducted at three referral hospitals in Thailand. The study period was between January 1, 2007 and December 31, 2016. Eligible patients were identified whether presence of MetS or not at the beginning of study and followed until the end of study. The primary outcome of study was presence of CVD. Predictors for CVD were analyzed by Cox proportional-hazards regression.
resultsDuring the study period, there were 1080 patients who met the study criteria, 253 (23.42%) of whom had CVD. There were five factors significantly associated with CVD occurrence including age, smoking, SBP, FPG, and HDL-c. The two factors with the highest adjusted hazard ratio were FPG and SBP at 2.92 and 2.34, respectively.
conclusionsThe three MetS criteria including SBP, FPG, and HDL-c may be predictors for cardiovascular diseases in elderly populations. Physician may need to focus on these particular factors of MetS in terms of CVD prevention in elderly patients.
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