RT Journal Article
T1 Statistical models to predict type 2 diabetes remission after bariatric surgery
A1 Ramos Levi, Ana
A1 Matía Martín, María Del Pilar
A1 Cabrerizo García, Lucio
A1 Barabash Bustelo, Ana
A1 Sánchez Pernaute, Andrés
A1 Calle Pascual, Alfonso Luis
A1 Torres García, Antonio José
A1 Rubio Herrera, Miguel Ángel
AB Background: Type 2 diabetes (T2D) remission may be achieved after bariatric surgery (BS), but rates vary according to patients' baseline characteristics. The present study evaluates the relevance of several preoperative factors and develops statistical models to predict T2D remission 1 year after BS.Methods: We retrospectively studied 141 patients (57.4% women), with a preoperative diagnosis of T2D, who underwent BS in a single center (2006-2011). Anthropometric and glucose metabolism parameters before surgery and at 1-year follow-up were recorded. Remission of T2D was defined according to consensus criteria: HbA1c <6%, fasting glucose (FG) <100 mg/dL, absence of pharmacologic treatment. The influence of several preoperative factors was explored and different statistical models to predict T2D remission were elaborated using logistic regression analysis.Results: Three preoperative characteristics considered individually were identified as the most powerful predictors of T2D remission: C-peptide (R-2 = 0.249; odds ratio [OR] 1.652, 95% confidence interval [CI] 1.181-2.309; P = 0.003), T2D duration (R-2 = 0.197; OR 0.869, 95% CI 0.808-0.935; P < 0.001), and previous insulin therapy (R-2 = 0.165; OR 4.670, 95% CI 2.257-9.665; P < 0.001). High C-peptide levels, a shorter duration of T2D, and the absence of insulin therapy favored remission. Different multivariate logistic regression models were designed. When considering sex, T2D duration, and insulin treatment, remission was correctly predicted in 72.4% of cases. The model that included age, FG and C-peptide levels resulted in 83.7% correct classifications. When sex, FG, C-peptide, insulin treatment, and percentage weight loss were considered, correct classification of T2D remission was achieved in 95.9% of cases.Conclusion: Preoperative characteristics determine T2D remission rates after BS to different extents. The use of statistical models may help clinicians reliably predict T2D remission rates after BS.
PB Wiley
SN 1753-0393
YR 2014
FD 2014
LK https://hdl.handle.net/20.500.14352/116130
UL https://hdl.handle.net/20.500.14352/116130
LA eng
NO Ramos-Levi AM, Matia P, Cabrerizo L, Barabash A, Sanchez-Pernaute A, Calle- Pascual AL, Torres AJ, Rubio MA. Statistical models to predict type 2 diabetes remission after bariatric surgery. J Diabetes. 2014 Sep;6(5):472-7. doi: 10.1111/1753-0407.12127. Epub 2014 Feb 26. PMID: 24433454.
DS Docta Complutense
RD 24 abr 2025