Associations between non-traditional lipid measures and risk for type 2 diabetes mellitus in a Chinese community population: a cross-sectional study

Table 3 ROC curve for predicting diabetes and cutoff points for maximum sum of sensitivity and specificity

	ROC (95 % CI)	Cut point	Sensitivity (%)	Specificity (%)	ROC (95 % CI)^a
LDL-C (mmol/L)	0.632 (0.608–0.655)	1.20	0.60	0.61	0.648 (0.608–0.687)
HDL-C (mmol/L)	0.603 (0.579–0.627)	1.18	0.65	0.53	0.632 (0.589–0.674)
TG (mmol/L)	0.659 (0.637–0.683)	1.23	0.58	0.65	0.669 (0.629–0.708)
TC (mmol/L)	0.621 (0.597–0.646)	1.19	0.53	0.66	0.626 (0.585–0.668)
Non-HDL-C (mmol/L)	0.656 (0.634–0.679)	1.23	0.61	0.62	0.673 (0.635–0.712)
TG/HDL-C	0.666 (0.643–0.688)	1.24	0.87	0.37	0.682 (0.644–0.720)
TC/HDL-C	0.684 (0.663–0.705)	1.30	0.77	0.53	0.717 (0.680–0.754)

HDL-C high-density lipoprotein cholesterol, LDL-C low-density lipoprotein cholesterol, Non-HDL-C non-high-density lipoprotein cholesterol, TC total cholesterol, TG, triglycerides. Cut points are presented as mmol/L
TC/HDL-C was a better predictor than LDL-C (comparing ROC: P < 0.001), HDL-C (P < 0.001), TG (P = 0.012), TC (P < 0.001), non-HDL-C (P = 0.001), and TG/HDL-C (P = 0.03)
^aFurther excluded individuals with hypertension

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