6 voices in 10 minutes: Patient selection for surgery
DOI:
https://doi.org/10.47196/diab.v54i3Sup.270Keywords:
obesity, diabetesAbstract
6 voices in 10 minutes: Strategies for weight loss in people with type 2 diabetes mellitus
Patient selection for surgery
Adequate patient selection for bariatric and metabolic surgery is crucial, specially for patients diagnosed with grade 1 obesity. Until now, candidates’ selection focuses on BMI, despite a majority of the evidence suggesting basal BMI as a non-predictive factor of T2D remission and T2D improvement not depending on weight loss on an exclusive basis.
BMI-based current criteria should be replaced by values related to the metabolic condition of each patient. Various predictive scoring systems would help in patient selection process as regards the patients who might likely succeed in the surgical treatment and in having realistic expectations about surgical results. Nonetheless, only a handful of currently available scoring systems match.
References
- Sjöholm K, Svensson P-A, Taube M, et al. Evaluation of Prediction Models for Type 2 Diabetes Relapse After Post-bariatric Surgery Remission: a Post hoc Analysis of 15-Year Follow-up Data from the Swedish Obese Subjects (SOS) Study. Obes Surg 2020; 30(10): 3955-3960
- Aminian A, Zajichek A, Arterburn D, et al. Predicting 10-Year Risk of End-Organ Complications of Type 2 Diabetes With and Without Metabolic Surgery: A Machine Learning Approach. Diabetes Care 2020; 43(4): 852-859.
- Umemura A, Sasaki A, Nitta H, et al. Prognostic factors and a new preliminary scoring system for remission of type 2 diabetes mellitus after laparoscopic sleeve gastrectomy. Surg Today 2020; 50(9): 1056-1064.
- Jane Ha J, Kwon Y, Hoon Kim N, et al. Discordance in prediction for prognosis of type 2diabetes after metabolic surgery: comparison of the ABCD, DiaRem, and individualized metabolic surgery models. Ann Surg Treat Res 2019; 97 (6):309-318.
- Billeter A, Eichel S, Scheurlen K, et al. Meta-analysis of metabolic surgery versus medical treatment for macrovascular complications and mortality in patients with type 2 diabetes. SOARD 2019; 15: 1197-1210.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Dirección Nacional de Derecho de Autor, Exp. N° 5.333.129. Instituto Nacional de la Propiedad Industrial, Marca «Revista de la Sociedad Argentina de Diabetes - Asociación Civil» N° de concesión 2.605.405 y N° de disposición 1.404/13.
La Revista de la SAD está licenciada bajo Licencia Creative Commons Atribución – No Comercial – Sin Obra Derivada 4.0 Internacional.
Por otra parte, la Revista SAD permite que los autores mantengan los derechos de autor sin restricciones.
