Key result
Metabolic syndrome risk score matches Framingham and beats binary criteria for predicting CVD.
Cohort
Yes
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Demonstrates that a continuous metabolic syndrome risk score predicts cardiovascular disease in a Kazakh population, highlighting comparable accuracy to the Framingham risk score.
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.
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Guo et al. (2019) conducted a cohort in Cardiovascular disease. Metabolic syndrome continuous risk score vs. Framingham risk score and binary metabolic syndrome classification was evaluated on Incidence of cardiovascular disease (p=<0.001). Metabolic syndrome risk score predicted CVD with an AUC similar to Framingham risk score and higher than binary MS.
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