 All glucose determinations from the continuous glucose monitoring will be summarized as an arithmetic mean. Shapiro-Wilk will be used to determine normal distribution of data. Receiver operation characteristic ROC curves will be constructed to determine the best cut-off to diagnose T2DM, using OGTT results as the gold standard. Spearmans or Pearsons correlation coefficient will be used to compare HbA1c to average glucose eAG. Bland-Altman will be used to determine agreement. The estimated average glucose from HbA1c will be derived from a linear regression model, as previously described. Linear regression models will be performed to identify factors affecting HbA1c for both Groups A and B, such as hemoglobin, CTP, MELD, total protein, and prealbumin. CTP will be transformed to dummy variables for this analysis. 