Predicting remission of diabetes post metabolic surgery: a comparison of ABCD, diarem, and DRS scores.

BACKGROUND: Obesity is one of the major causes for development of T2DM. Metabolic surgery has been proved to be a successful and cost-effective treatment modality for managing the patients with obesity and T2DM. Many scoring systems and models have been described in literature to predict the outcome of T2DM after metabolic surgery. The aim of this study is to compare the efficacy of Diarem, DRS, and ABCD score in predicting the T2DM remission.

METHODS: A total number of 102 diabetic patients, who underwent LMGB/LOAGB, were selected for this study. A retrospective analysis of the three scoring systems when applied to these patients and their predictive abilities were analyzed.

RESULTS: At 1 year after surgery, 72 (70.59%) patients achieved remission of T2DM. Though the pairwise comparisons between AUC on ROC analysis of ABCD, Diarem, and DRS scores does not show statistically significant difference between them, Diarem score has the maximum relative area under ROC curves. By multivariate analysis, it was found that factors significantly associated with T2DM remission were duration of T2DM, C-peptide, and Pre-Op HbA1c.

CONCLUSIONS: Among the three scoring systems, though DiaRem score has the best sensitivity and specificity and maximum AUC, no statistically significant difference was found in their diabetes remission predicting abilities. A shorter duration of T2DM, a lower HbA1C, and higher levels of C-peptide were significantly associated with a higher chance of T2DM remission.