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Development of an Interactive Outcome Estimation Tool for Laparoscopic Roux-en-Y Gastric Bypass in Mexico Based on a
David Velázquez-Fernández1, Hugo Sánchez2, Fernando Monraz1
1Endocrine and Advanced Laparoscopic Surgery Unit, Department of Surgery, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Background:
Laparoscopic Roux-en-Y Gastric Bypass (LRYGB) is one of the most commonly performed bariatric procedures. Considering significant differences between populations around the world, surgical outcomes may vary widely. The aim of the study was to develop an educational patient-specific interactive application that may estimate the potential outcomes of LRYGB in the Mexican population.
Methods:
A database with 76 different variables from 1002 patients who underwent LRYGB at two Mexican Institutions between 1992 and 2014 and had a minimum of 6-month follow-up was analyzed. Descriptive and inferential statistics, as well as a multivariate regression analysis, were performed for the primary analysis. Results were based on four statistical models obtained from the cohort outcomes. A tool was designed to provide estimates of absolute weight loss (AWL) and resolution of four major comorbidities: type 2 diabetes (T2D), high blood pressure (HBP), hypercholesterolemia, and the obstructive syndrome of sleep apnea (OSAS).
Results:
There were 353 males (35.2%) and 649 females (64.8%) with a mean age of 41.9 ± 12.1 years and a mean preoperative BMI of 45.3 ± 7.9 kg/m2. Mean AWL at 2 years was 39.02 ± 12.7 kg. Mean accumulative percentage of resolution for T2D, HBP, and dyslipidemias at the same time period was 78%, 66.2%, and 84.7%, respectively. Based on these results, the educational tool was developed.
Conclusions:
We were able to develop an interactive estimation application to provide a population-based guidance for potential outcomes of LRYGB. This might be useful not only for health professionals but also for patients interested in learning potential outcomes in specific circumstances.
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