Objective To screen out the more suitable prediction model of preoperative accurate assessment of gastric bypass (GBP) for the treatment of type 2 diabetes mellitus (T2DM) in mainland China by comparing several scoring systems of predicting T2DM after metabolic surgery.
Methods The data of patients with T2DM who received GBP was retrospectively collected, and all the patients were seen from Apr.2012 to Dec. 2015 in Beijing Tian Tan Hospital, compared changes of related clinical indicators before and one year after surgery. We compared the predictive accuracy by ROC curve for T2DM complete remission after GBP between ABCD, DiaRem, IMS, and Tian Tan predictive scoring systems.
Results A total of 101 patients (58 women) were enrolled in our study. Complete remission rate of T2DM after GBP was 70.3% (71/101). Mean age of the T2DM patients was (45.3±11.1)years, mean BMI was (30.3±5.5)kg/m2, mean HbA1c and disease duration were (8.5±1.7)% and (7.1±4.8 )years, respectively. BMI, TCHO, TG, LDL, FPG, HbA1c, fasting C-peptide, fasting insulin, HOMA-IR and serum ferritin were significantly lower than those before operation (P<0.05). The AUC values of IMS, Tian Tan, DiaRem, and ABCD scoring systems were 0.833, 0.825, 0.764, and 0.724 respectively.
Conclusions The IMS and Tian Tan scoring systems were accurate estimate of T2DM complete remission of patients after GBP, allowing metabolic surgeon to optimized treatment plan based on individualized risk prediction.