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Endocrine Abstracts (2020) 70 AEP297 | DOI: 10.1530/endoabs.70.AEP297

ECE2020 Audio ePoster Presentations Diabetes, Obesity, Metabolism and Nutrition (285 abstracts)

Metabolic syndrome severity score for predicting cardiovascular events: A nationwide population-based study from Korea

Ji Hye Huh , Wonjin Kim , Jun Goo Kang , Seong Jin Lee & Sung-Hee Ihm


Hallym University Sacred Heart Hospital, Department of Internal Medicine, Anyang, Korea, Republic of South


Background and aims: Recently, a metabolic syndrome severity score (MS score) using a dataset of the Korea National Health and Nutrition Examination Surveys has been developed. We aimed to determine whether the newly developed score is a significant predictor of cardiovascular (CV) events among the Korean population.

Methods: From the Korean National Health Insurance System, 2,541,364 (aged 40–59 years) subjects with no history of CV events (ischemic stroke or myocardial infarction [MI]), who underwent health examinations from 2009–2011 and were followed up until 2014–2017, were identified. Cox proportional hazard model was employed to investigate the association between MS score and CV events. Model performance of MS score for predicting CV events was compared to that of conventional metabolic syndrome diagnostic criteria (ATP-III) using the Akaike information criterion and the area under the receiver operating characteristic curve.

Results: Over a median follow-up of 6 years, 15,762 cases of CV events were reported. MS score at baseline showed a linear association with incident CV events. In themultivariable-adjusted model, the hazard ratios (95% confidence intervals) comparing the highest vs lowest quartiles of MS score were 1.48 (1.36–1.60) for MI and 1.89 (1.74–2.05) forstroke. Model fitness and performance of the MS score in predicting CV events were superior to those of ATP-III (Table 1).

Table 1 Model fit analysis and model performance of metabolic syndrome indicators.
EventModelMS indicatorAICAUC (95% CI)P-value*
CV events
1ATP-III181,473.20.718 (0.714–0.722)<0.001
MS score181,292.20.720 (0.716–0.724)
2ATP-III183,029.20.704 (0.700–0.708)<0.001
MS score182,600.60.708 (0.704–0.712)
Stroke
1ATP-III100,892.90.705 (0.699–0.711)0.003
MS score100,828.80.707 (0.701–0.712)
3ATP-III101,508.20.693 (0.688–0.699)0.003
MS score101,406.90.696 (0.690–0.702)
MI
1ATP-III103,820.70.741 (0.735–0.746)<0.001
MS score103,696.90.743 (0.738–0.748)
3ATP-III105,174.20.720 (0.714–0.725)<0.001
MS score104,813.00.726 (0.721–0.731)
Model 1: adjusted for age, body mass index, current smoking, heavy alcohol consumption, regular exercise, and family income
Model 2: Model 1+ further adjusted presence of hypertension, diabetes, medication for dyslipidemia, and total cholesterol.
*P-value: DeLong’s test for ROC curves of two metabolic syndrome indicators.

Conclusions: The newly developed age- and sex-specific continuous MS score for the Korean population is an independent predictor of ischemic stroke and MI in Korean middle-aged adults even after adjusting for confounding factors.

Volume 70

22nd European Congress of Endocrinology

Online
05 Sep 2020 - 09 Sep 2020

European Society of Endocrinology 

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