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A Simpler Method for Predicting Weight Loss in the First Year after Roux-en-Y Gastric Bypass
Author(s) -
John P. Sczepaniak,
Milton L. Owens,
William J. Garner,
Farouk Dako,
Kristin Masukawa,
Samuel E. Wilson
Publication year - 2012
Publication title -
journal of obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 53
eISSN - 2090-0716
pISSN - 2090-0708
DOI - 10.1155/2012/195251
Subject(s) - medicine , roux en y anastomosis , weight loss , gastric bypass , confidence interval , surgery , body weight , laparoscopy , gastric bypass surgery , obesity
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] =2−, where was the time after operation (days) and and are constants. Analysis was completed on R-software. The model fits with 2 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%

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