Assessing the Risk of Cardiovascular Diseases: Metabolic Syndrome Versus Quantitative Metabolic Syndrome Severity Score

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Adib M.; Mehran L.; Honarvar M.J.; Masoumi S.; Azizi F.; Amouzegar A.

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Journal Paper

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Journal: Iranian Journal of Endocrinology & Metabolism Year:2023 | Volume:25 | Issue:4 Page(s): 339-350

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Title

Assessing the Risk of Cardiovascular Diseases: Metabolic Syndrome Versus Quantitative Metabolic Syndrome Severity Score

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Keywords

Metabolic syndromeQ4

Cardiovascular diseaseQ4

Cohort studyQ4

Abstract

Introduction: To overcome the limitations of the definition of Metabolic syndrome (MetS) in clinical use, a health index named quantitative Metabolic syndrome Severity Score (cMetS-S), has been recently introduced and validated in the Tehran Lipid and Glucose Study. This study investigated the association between the severity of MetS based on age and gender (cMetS- score), and Cardiovascular diseases (CVD) beyond the components of MetS. Materials and Methods: At the beginning of the study, participants aged 20-60 years were enrolled. Those with Cardiovascular disease, cancer, use of corticosteroid, estimated glomerular filtration rate <30 ml/min/1.73m², or pregnancy were excluded. The association between cMetS-S and Cardiovascular diseases was evaluated continuously for 18 years follow-up among 8,500 participants using Cox proportional hazards regression models and its performance in predicting Cardiovascular disease events was compared with the MetS criteria. Results: Participants with higher cMetS-S showed a significant increase in the risk of Cardiovascular disease (CVD), coronary heart disease (CHD), and non-coronary heart disease (non-CHD). Independent of the confounding factors of Metabolic syndrome components, each 1-SD unit increase in cMetS-S was associated with risk ratios of 1.67, 1.60 and 1.88 for Cardiovascular diseases, coronary and non-coronary cardiac events, respectively. Model fit analysis showed better CVD prediction value for cMetS-S independent of (MetS) components, compared with Metabolic syndrome (p<0.0001). Conclusion: The cMetS-S predicts Cardiovascular diseases more accurately than the MetS and its components. The standardized cMetS-S, which considers the weighted contribution of MetS components and their variations by age and gender, may serve as a health metric for determining the severity of Metabolic syndrome.

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