Literature DB >> 31104284

Development of an Interactive Outcome Estimation Tool for Laparoscopic Roux-en-Y Gastric Bypass in Mexico Based on a Cohort of 1002 Patients.

David Velázquez-Fernández1, Hugo Sánchez2, Fernando Monraz1, Olivo Omar Zanela3, Hermilo Arturo Cabra3, Juan Pablo Pantoja1, Mauricio Sierra1, Maureen Mosti2, Miguel F Herrera4,5.   

Abstract

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.

Entities:  

Keywords:  Bariatric surgery; Interactive application; Laparoscopic Roux-en-Y gastric bypass; Mexican; Outcome

Year:  2019        PMID: 31104284     DOI: 10.1007/s11695-019-03929-x

Source DB:  PubMed          Journal:  Obes Surg        ISSN: 0960-8923            Impact factor:   4.129


  2 in total

1.  Is It Possible to Predict Weight Loss After Bariatric Surgery?-External Validation of Predictive Models.

Authors:  Izabela A Karpińska; Jan Kulawik; Magdalena Pisarska-Adamczyk; Michał Wysocki; Michał Pędziwiatr; Piotr Major
Journal:  Obes Surg       Date:  2021-03-13       Impact factor: 4.129

2.  Development and validation of a scoring system for pre-surgical and early post-surgical prediction of bariatric surgery unsuccess at 2 years.

Authors:  Fabio Bioletto; Marianna Pellegrini; Chiara D'Eusebio; Stefano Boschetti; Farnaz Rahimi; Antonella De Francesco; Simone Arolfo; Mauro Toppino; Mario Morino; Ezio Ghigo; Simona Bo
Journal:  Sci Rep       Date:  2021-10-26       Impact factor: 4.379

  2 in total

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