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KMID : 1140420200290030208
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Journal of Obesity & Metabolic Syndrome
2020 Volume.29 No. 3 p.208 ~ p.214
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Factors Predicting Weight Loss after “Sleeve Gastrectomy with Loop Duodenojejunal Bypass” Surgery for Obesity
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Vennapusa Amar
Panchangam Ramakanth Bhargav
Kesara Charita
Chivukula Tejaswi
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Abstract
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Background: Laparoscopic sleeve gastrectomy with loop duodenojejunal bypass (SG LDJB) is a loop modification of biliopancreatic diversion with duodenal switch. The aim of this study was to analyze weight loss response and factors predicting weight loss outcomes after SG LDJB.
Methods: This was a retrospective study analyzing SG LDJB surgeries performed between May 2013 and December 2017 in 126 Indians suffering from obesity. The collected data was analyzed to understand weight loss efficacy and the factors predicting weight loss. Surgery was considered successful when percentage excess weight loss (%EWL) was ≥50% or percentage total weight loss (%TWL) was ≥25%.
Results: %EWL was 95.77% and 83.84% and %TWL was 34.64% and 30.32% at the 1-year and 3-year follow-up, respectively. %EWL ≥50% was 99.04% and 96.47% and %TWL ≥25% was 91.35% and 75.29% at the 1-year and 3-year follow-up, respectively. Patient age and sex did not independently predict %EWL or %TWL. Preoperative body mass index (BMI), weight, and excess weight negatively predicted %EWL and positively predicted %TWL at the 1-year and 3-year follow-up. Multiple regression analysis showed that these parameters were independent predictors of %EWL and %TWL at 1 year, while preoperative weight and excess weight also independently predicted %EWL at the 3-year follow-up. In diabetic patients, %EWL was significantly lower at the 3-year follow-up and %TWL was significantly lower at the 1-year and 3-year follow-up.
Conclusion: SG LDJB was an effective bariatric surgery to treat obesity. Preoperative BMI, weight, excess weight, and the presence of diabetes were the significant factors associated with the weight loss outcomes.
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KEYWORD
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Bariatric surgery, Obesity, Weight loss, Diabetes, Metabolic surgery
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