EVALUATION OF 4 MARKERS IN THE COMBINING SCREENING TEST FOR CORONARY HEART DISEASE.

Objective:To explore the application of logistic model in ROC curve analysis,and to evaluate the clinical value and discriminatory power of 4 biomarkers in diagnosing Coronary Heart Disease and determine the Optimal Operating Point(OOP)by using the Receiver Operating Characteristic(ROC)curves.Method:Based on the logistic model,combining predictors or probabilities were gained and applied to establish empirical and binormal model ROC curves.Results:An example for prediction of coronary heart disease was presented to illustrate the whole analysis steps.At the same time,the method shows that the HDL and TG were suitable for coronary heart disease screening,and the optimal operating point was determined for the combining screening test.Conclusion:Roc analysis based on the logistic model is easy and convenient,especially using in the screening test with covariates or multiple markers for classification.