Resistin Protein Analysis Using Receiver Operating Characteristics Curve in Predicting the Occurrence of Type 2 Diabetes Mellitus in Respondents of Cohort Study of Risk Factors for Noncommunicable Diseases in Bogor

Abstract

Resistin is a hormone that involved in obesity and type 2 diabetes mellitus. High resistin level in pre-DM respondents with obesity will cause insulin resistance. ROC analysis is used as an initial screening to predict chronic diseases precisely and accurately to look for high specificity values. The method was carried out in cross sectional method by examining protein in 744 respondents in the cohort study. Blood plasma was examined with an ELISA kit and analyzed with a Receiver Operating Characteristic curve (ROC Curve). The cutoff point results of pre-DM Resistin levels of respondents compared to normal respondents were 5.9 ng / ml with AUC (Area Under Curve) 0.68 (0.63-0.73), (P <0.001), sensitivity 74.8% and specificity 62.4%. While the Area Under Curve in the combined protein (resistin, insulin, adiponectin and c-peptide) increased to 0.86 (0.82-0.9) (P <0.001), sensitivity 77.7% and specificity 78.8%. Conclusion = resistin can be used as a biomarker in Prediabetes respondents to predict becoming diabetes.