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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...

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Detalles Bibliográficos
Autores principales: Sczepaniak, John P., Owens, Milton L., Garner, William, Dako, Farouk, Masukawa, Kristin, Wilson, Samuel E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3270430/
https://www.ncbi.nlm.nih.gov/pubmed/22315671
http://dx.doi.org/10.1155/2012/195251
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author Sczepaniak, John P.
Owens, Milton L.
Garner, William
Dako, Farouk
Masukawa, Kristin
Wilson, Samuel E.
author_facet Sczepaniak, John P.
Owens, Milton L.
Garner, William
Dako, Farouk
Masukawa, Kristin
Wilson, Samuel E.
author_sort Sczepaniak, John P.
collection PubMed
description 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] = At(2) − 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 R(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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spelling pubmed-32704302012-02-07 A Simpler Method for Predicting Weight Loss in the First Year after Roux-en-Y Gastric Bypass Sczepaniak, John P. Owens, Milton L. Garner, William Dako, Farouk Masukawa, Kristin Wilson, Samuel E. J Obes Research Article 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] = At(2) − 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 R(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%. Hindawi Publishing Corporation 2012 2012-01-19 /pmc/articles/PMC3270430/ /pubmed/22315671 http://dx.doi.org/10.1155/2012/195251 Text en Copyright © 2012 John P. Sczepaniak et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sczepaniak, John P.
Owens, Milton L.
Garner, William
Dako, Farouk
Masukawa, Kristin
Wilson, Samuel E.
A Simpler Method for Predicting Weight Loss in the First Year after Roux-en-Y Gastric Bypass
title A Simpler Method for Predicting Weight Loss in the First Year after Roux-en-Y Gastric Bypass
title_full A Simpler Method for Predicting Weight Loss in the First Year after Roux-en-Y Gastric Bypass
title_fullStr A Simpler Method for Predicting Weight Loss in the First Year after Roux-en-Y Gastric Bypass
title_full_unstemmed A Simpler Method for Predicting Weight Loss in the First Year after Roux-en-Y Gastric Bypass
title_short A Simpler Method for Predicting Weight Loss in the First Year after Roux-en-Y Gastric Bypass
title_sort simpler method for predicting weight loss in the first year after roux-en-y gastric bypass
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3270430/
https://www.ncbi.nlm.nih.gov/pubmed/22315671
http://dx.doi.org/10.1155/2012/195251
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