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

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

  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)
  1. 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
  2. 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)
  3. aFurther excluded individuals with hypertension