Table 2—

aROC curve and simple correlation (Pearson) between plasma glucose concentration during the OGTT and log transformation of insulin secretion and insulin sensitivity indices

aROC curveMatsuda indexΔI0–30/ΔG0–30ΔI0–120/ΔG0–120ΔI0–30/ΔG0–30 × MatsudaΔI0–120/ΔG0–120 × Matsuda
FPG0.672*0.38§0.060.020.33§0.24§
PG at 30 min0.735*0.45§0.42§0.39§0.73§0.62§
PG at 60 min0.7950.50§0.40§0.55§0.73§0.72§
PG at 120 min0.688*0.46§0.11§0.34§0.42§0.58§
A1C0.679*0.18§0.06§0.10.19§0.19§
ΔG0–1200.770.48§0.42§0.6§0.73§0.83§
Score Model I0.646*0.36§0.020.0150.050.07
Score Model II0.74*0.40§0.040.070.010.07
SADPM0.743*0.51§0.0250.0420.333§0.351§
MS0.72*0.56§0.0170.0150.0320.316§
MS + G600.8130.53§0.23§0.272§0.53§0.53§
Model I + G600.8050.38§0.13§0.090.11§0.22§
Model II + G600.8220.43§0.11§0.090.11§0.22§
SADPM + G600.8320.52§0.214§0.256§0.52§0.51§
  • *

    * P < 0.001 compared with the aROC curve for plasma glucose concentration at 60 min.

  • P < 0.05 versus the aROC curve for plasma glucose concentration 60 min.

  • P < 0.0001 compared with the aROC curve of the same model without G60.

  • §

    § P < 0.0001.

  • P < 0.05. G60, plasma glucose concentration at 60 min during the OGTT; PG, plasma glucose; MS, metabolic syndrome; SADPM, San Antonio Diabetes Prediction Model.