A novel model for predicting diabetes remission after bariatric surgery based on the measurement of C-peptide and creatinine in serum: A pilot study.

Background And Aims: Bariatric surgery is effective for treating type 2 diabetes (T2D) in patients with obesity, although a significant proportion of these patients do not achieve diabetes remission after the surgery even after significant weight loss and metabolic improvement. C-peptide is a valuable marker of beta cell function and insulin secretion, but renal function must be considered when interpreting measurements in patients with T2D. The study aims to investigate the association of serum levels of C-peptide adjusted for creatinine with diabetes remission and glycemic target achievement after bariatric surgery in patients with obesity and T2D.

Methods And Results: Prospective data from a cohort of 84 patients with obesity and T2D submitted to Roux-en-Y gastric bypass (RYGB) were collected at baseline and at least a 6-month follow up. A multivariate binomial regression model showed that Ln(C-peptide/creatinine) and age were significantly associated with 6-month T2D remission. The area under the curve for the receiver operating characteristic analysis (AUROC) to predict remission was 0.87, and more accurate than the AUROC based on C-peptide levels alone (0.75). The same model was also able to predict achieving an HbA1c target of 7 % (53 mmol/mol) (AUROC 0.96).

Conclusion: In conclusion, Ln(C-peptide/creatinine) ratio could be a useful tool in predicting T2D remission and target achievement after RYGB surgery, providing a more accurate reflection of beta cell function in bariatric patients.