Prediction of Diabetes Remission after Bariatric or Metabolic Surgery
10.17476/jmbs.2018.7.1.22
- Author:
Ji Yeon PARK
1
Author Information
1. Department of Surgery, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, Korea. jybark99@hanmail.net
- Publication Type:Review
- Keywords:
Metabolic surgery;
Bariatric surgery;
Diabetes;
Remission;
Predictor
- MeSH:
Bariatric Surgery;
C-Peptide;
Cohort Studies;
Humans;
Insulin Resistance;
Intra-Abdominal Fat;
Joints;
Obesity, Morbid;
Overweight
- From:Journal of Metabolic and Bariatric Surgery
2018;7(1):22-31
- CountryRepublic of Korea
- Language:English
-
Abstract:
Bariatric surgery has evolved from the surgical measure to treat morbid obesity into the epochal remedy to treat metabolic syndrome as a whole, which is represented by type 2 diabetes. Numerous clinical trials have unanimously advocated bariatric or metabolic surgery over the non-surgical interventions, demonstrating markedly superior metabolic outcomes not only in morbidly obese patients who satisfy traditional criteria for bariatric surgery (body mass index [BMI] >35kg/m²) but also in less obese or even in simply overweight patients. Nevertheless, not all the diabetic patients can achieve the most desirable outcomes, that is, diabetes remission, after metabolic surgery and candidates for metabolic surgery should be selected carefully based on the comprehensive preoperative assessment of the risk-benefit ratio. Predictors for diabetes remission after metabolic surgery can be largely classified into 2 groups based the mechanism of action; 1) indices for the preserved pancreatic beta-cell function, such as younger age, shorter duration of diabetes, and higher C-peptide level, and 2) those represent the potential reserve for reduction in insulin resistance, such as higher baseline BMI, and visceral fat area. Several prediction models for diabetes remission have been suggested by merging these predictors to guide clinicians and patients' joint decision-making process. Among them, 3 models, DiaRem, ABCD, and Individualized Metabolic Surgery (IMS) scores provide intuitive scoring systems which can be simply utilized in the routine clinical practice and have been validated in the independent external cohort. These prediction models need further validation in the various different ethnicities to ensure the universal applicability.
