上海市浦东新区糖尿病危险计分筛查 2型糖尿病的效果评价.

Objective To establish a common, understandable and practicable diabetes risk assessment table, and to evaluate the efficiency of the table for screening diabetes. Methods This was a Cohort study. Both the derived cohort (n=810) and the validated cohort (n=792) were from the resident population over 18 years old in Pudong New Area, Shanghai. Cox regression analysis was used to explore the risk factors of diabetes in the exploratory population. A non‑invasive diabetes scoring model was established with β coefficients. The receiver operating characteristic (ROC) curve was used to analyze the Pudong Diabetes Risk Score (PDDRS) for diagnosing diabetes in the two Cohorts, and to compare PDDRS with the existing Chinese Diabetes Risk Score (CDRS). Results The PDDRS included four non‑invasive risk factors: age, waist circumference, systolic blood pressure and family history of diabetes. The specificity, sensitivity and AUC of the model in predicting the onset of type 2 diabetes in the derivation population were 69.4%, 70.0% and 0.757, respectively. The AUC of the model was 0.686 in the validation Cohort. Compared with the CDRS, the PDDRS was more efficientin predicting diabetes in the derivation cohort (0.757 and 0.719, Z=2.511, P<0.05), without significant difference in the validation cohort (0.686 and 0.703, P>0.05). Conclusion As a screening method for high‑risk population of diabetes, the PDDRS has a relatively high specificity and sensitivity. The effeciency of PDDRS in predicting diabetes onsetin Pudong New Area i s equivalent to that of CDRS. [ABSTRACT FROM AUTHOR]