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    Obes Surg. 2008 Jan;18(1):39-42. Epub 2007 Dec 15.

    The impact of race on weight loss after Roux-en-Y gastric bypass surgery.

    Source

    Department of Medicine, Division of Gastroenterology and Hepatology, Digestive Disease Center, Medical University of South Carolina (MUSC), 96 Jonathon Lucas Street, CSB #210, P.O. Box 250 327, Charleston, SC, USA.

    Abstract

    BACKGROUND:

    Gastric bypass surgery for morbid obesity has dramatically increased in volume over the past decade. Caucasian patients have been noted previously to lose more weight after bariatric surgery than African-Americans patients. Data regarding predictors of maintaining weight loss after surgery are minimal. We sought to determine predictors of long-term weight loss after bariatric surgery.

    METHODS:

    Retrospective analysis using a multivariate logistic regression model of all patients undergoing Roux-en-Y gastric bypass surgery at the Medical University of South Carolina from May 1993 to December 2004 for whom 2 years of follow-up data was available. Our dependent variable was the percentage of weight lost from baseline, dichotomized at +/-35%. Our primary independent variable was race, defined as Caucasian, African-American, or other. Relevant covariates were added to the model to control for their potential effects on outcome.

    RESULTS:

    One hundred eleven patients (17 male/94 female; 85% Caucasian, mean age 44 years (range 18-68 years). In our model, Caucasian subjects (adjusted odds ratio [OR] = 7.60, 95% confidence intervals [95%CI] = 1.83-31.5) and late post surgical complications (adjusted OR = 2.67, 95%CI = 1.05-6.80) significantly predicted weight loss at 2 years, after controlling for relevant confounders. Other covariates did not significantly impact the model.

    CONCLUSION:

    Race and late post surgical complications significantly impacted the percentage of weight loss at 2 years for patients undergoing Roux-en-Y gastric bypass surgery at our institution. Future research should be directed at determining potential genetic and/or social reasons for these differences.

    PMID:
    18080726
    [PubMed - indexed for MEDLINE]

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