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You are here: Home / Abstracts / Evaluating the Safety of Bariatric Surgery for Weight Loss in Class I Obesity: A Propensity-Matched Analysis of North American data

Evaluating the Safety of Bariatric Surgery for Weight Loss in Class I Obesity: A Propensity-Matched Analysis of North American data

Gary G Gamme, MD1, Jerry Dang, MD2, Noah Switzer, MD3, Richdeep Gill, MD4, Daniel Birch, MD2, Shahzeer Karmali, MD2. 1University of Ottawa, 2University of Alberta, 3Ohio State, 4University of Calgary

Background: Bariatric surgery is a safe and effective treatment for severe obesity. However, there has been an evolving role for bariatric surgery as a primary treatment in the management of Class I obesity. Objectives: We aimed to assess safety of surgery by comparing the surgical safety of LSG and LRYGB in Class I obesity to those with Class 2 obesity and higher with an analysis of a large-scale matched patient cohort analysis. Setting International database, USA and Canada.

Methods: We performed a retrospective analysis using the MBSAQIP database, which collects patient information from over 790 bariatric surgery centers in North America. Patients included in our analysis underwent surgery in the years 2015 and 2016 and had either LRYGB or LSG for weight loss. A propensity matched analysis was performed between patients with Class I obesity and Class II obesity and higher for factors predictive of major complications and mortality.

Results: Initial analysis revealed 274,091 patients. Propensity matching resulted in 9,104 patients for analysis in each arm. The overall major complication rate between the two matched groups was 3.9% for Class I and 3.5% for Class 2 and higher (p = 0.09). We did not find that Class I obesity was associated with an increased risk of 30-day complication or death.

Conclusions: In our analysis of propensity-matched patients undergoing LSG and LRYGB for weight loss, Class I obesity did not have statistically higher risk of postoperative complication rates compared to Class II and higher.


Presented at the SAGES 2017 Annual Meeting in Houston, TX.

Abstract ID: 95307

Program Number: P125

Presentation Session: Poster Session (Non CME)

Presentation Type: Poster

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