A novel index for diagnosis of type 2 diabetes mellitus: Cholesterol, High density lipoprotein, and Glucose (CHG) index

Background: Gold standard methods of type 2 diabetes mellitus are expensive and therefore not practical for large scale studies in low-income countries. We have investigated the total cholesterol, high density lipoprotein (HDL), and glucose (CHG) index for diagnosis of type 2 diabetes mellitus index which is derived from fasting state. In this study we aimed to compare the accuracy of with CHG index and triglycerides (TG) and glucose levels (TyG) as surrogates of type 2 diabetes mellitus.

Methods: A total of 9,704 individuals between 35 and 65 years of age were recruited as part of the Mashhad stroke and heart atherosclerotic disorder (MASHAD) study. They were categorized into two groups, those with and without type 2 diabetes mellitus. The cut-off in groups to detection of type 2 diabetes mellitus was fasting blood glucose ≥126 mg/dL in blood sample. Receiver operating characteristic (ROC) curve analysis was used to establish the cut-off of indices to evaluate the sensitivity and specificity of them.

Results: The best cut-off of CHG index for diagnosis of type 2 diabetes mellitus was 5.57 which was associated with a sensitivity of 70.38% and specificity of 89.82% values. This was in comparison to the TyG index. LR+ CHG index was 6.91 compared to 3.47 for the TyG index and the AUC of CHG index was 0.864 (0.857, 0.871) compared with 0.825 (0.818, 0.833) for the TyG index. This indicates that the CHG index has a higher efficiency value to diagnose of type 2 diabetes mellitus.

Conclusions: The CHG index could be useful for the detection of type 2 diabetes mellitus.