A Simpler Method for Predicting Weight Loss in the First Year after Roux-en-Y Gastric Bypass
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 fro...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2012-01-01
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| Series: | Journal of Obesity |
| Online Access: | http://dx.doi.org/10.1155/2012/195251 |
| Summary: | 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%. |
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| ISSN: | 2090-0708 2090-0716 |