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Comparison between metabolic syndrome and framingham risk score as predictor of cardiovascular disease among Kazakhs population / 中华内分泌代谢杂志
Article in Chinese | WPRIM | ID: wpr-799861
Responsible library: WPRO
ABSTRACT
Objective@#To compare metabolic syndrome(MS)with Framingham risk score as predictors of cardiovascular disease(CVD)among Kazakhs population.@*Methods@#The participants were the residents who had been followed up for more than 5 years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting development of CVD using Cox regression and receiver operating characteristic curve.@*Results@#The incidence of CVD was 13.87%. The incidence of CVD was higher in the MS group than it in the non-MS group(21.59% vs 11.10%, P<0.001). The area under the receiver operating characteristic(ROC)curve of MS risk score was significantly larger than that of MS classification(0.727 vs 0.585, P<0.001); the area under the curve of MS risk score was close to that of Framingham risk score(0.732 vs 0.727, P=0.673). The association between CVD and each quintile of MS risk score was more significant than that between Framingham risk score and CVD under the same exposed condition(4.61, 9.33, 14.15, 22.29 vs 3.69, 6.36, 8.47, 16.99).@*Conclusion@#MS risk score that included age may be a better predictor of CVD among Kazakhs population.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endocrinology and Metabolism Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endocrinology and Metabolism Year: 2019 Type: Article