Predictors of success after laparoscopic gastric bypass: a multivariate analysis of socioeconomic factors.

Journal Article (Journal Article)

BACKGROUND: Laparoscopic gastric bypass (LGB) has proven efficacy in causing significant and durable weight loss. However, the degree of postoperative weight loss and metabolic improvement varies greatly among individuals. Our study is aimed to identify independent predictors of successful weight loss after LGB. METHODS: Socioeconomic demographics were prospectively collected on patients undergoing LGB. Primary endpoint was percent of excess weight loss (EWL) at 1-year follow-up. Insufficient weight loss was defined as EWL or=52.8%. According to this definition, 147 patients (81.7%) achieved successful weight loss 1 year after LGB. On univariate analysis, preoperative BMI had a significant effect on EWL, with patients with BMI <50 achieving a higher percentage of EWL (91.7% vs 61.6%; p = 0.001). Marriage status was also a significant predictor of successful outcome, with single patients achieving a higher percentage of EWL than married patients (89.8% vs 77.7%; p = 0.04). Race had a noticeable but not statistically significant effect, with Caucasian patients achieving a higher percentage of EWL than African Americans (82.9% vs 60%; p = 0.06). Marital status remained an independent predictor of success in the multivariate logistic regression model after adjusting for covariates. Married patients were at more than two times the risk of failure compared to those who were unmarried (OR 2.6; 95% CI: 1.1-6.5, p = 0.04). CONCLUSIONS: Weight loss achieved at 1 year after LGB is suboptimal in superobese patients. Single patients with BMI < 50 had the best chance of achieving greater weight loss.

Full Text

Duke Authors

Cited Authors

  • Lutfi, R; Torquati, A; Sekhar, N; Richards, WO

Published Date

  • June 2006

Published In

Volume / Issue

  • 20 / 6

Start / End Page

  • 864 - 867

PubMed ID

  • 16738971

Electronic International Standard Serial Number (EISSN)

  • 1432-2218

Digital Object Identifier (DOI)

  • 10.1007/s00464-005-0115-8


  • eng

Conference Location

  • Germany