A Simpler Method for Predicting Weight Loss in the First Year after Roux-en-Y Gastric Bypass

• Main Authors: John P. Sczepaniak, Milton L. Owens, William Garner, Farouk Dako, Kristin Masukawa, Samuel E. Wilson
• Format: Article
• Language: English
• Published: Hindawi Limited 2012-01-01
• Series: Journal of Obesity
• Online Access: http://dx.doi.org/10.1155/2012/195251

Factors postulated to predict weight loss after gastric bypass surgery, include race, age, gender, technique, height, and initial weight. This paper contained 1551 gastric bypass patients (85.9% female). Operations were performed by one surgeon (MLO) at community hospitals in Southern California from 1989 to 2008 with 314 being laparoscopic and 1237 open. We created the following equation: In[percent weight] =𝐴𝑡2−𝐵𝑡, where 𝑡 was the time after operation (days) and 𝐴 and 𝐵 are constants. Analysis was completed on R-software. The model fits with 𝑅2 value 0.93 and gives patients a realistic mean target weight with a confidence interval of 95% for the first year. Conclusion. We created a curve predicting weight loss after surgery as a percentage of initial weight. Initial weight was the single most important predictor of weight loss after surgery. Other recorded variables accounted for less than 1% of variability. Unknown factors account for the remaining 6-7%.