Samuel Cottam, Daniel Cottam, MD, Austin Cottam, BS, Hinali Zaveri, MD, Amit Surve, MD, Walter Medlin, MD, FACS, Christina Richards, MD, FACS. Bariatric Medicine Institute of Utah
Introduction: In the past, there have been many models to help surgeons intervene early after surgery for patients who are not losing adequate weight following bariatric procedures. While many have been made for different surgeries never has a predictive model been created to predict underperformers soon after SIPS. This model seeks to improve patient care helping surgeons know when to advise patients on more options to help them lose weight following the SIPS procedure.
Methods: 161 patients met the criteria for this study. These patients underwent surgery at a single institution from June 2013 to December 2016. Non-linear Regression analysis was performed to interpolate weight loss at three months and at one year. A multilinear regression was run to determine the significant variables. A model was then constructed to predict weight loss at one year 3 months after the SIPS procedure.
Results: Patients EWL% at three months, preoperative BMI, and the interaction between DM and HTN were found to be significant factors. The model has a R value of .763 and an average error of estimate of 10.6% EWL at one year.
| Variable |
Effect on EWL% at 1 year |
| EWL% at 3 months | +.877% per EWL% |
| Peroperative BMI | -.609 per point BMI |
| DM and HTN | -7.54% |
Conclusion: Surgeons can easily predict patient underperformance soon after SIPS. This allows surgeons to give more and alternative help for patients who may not reach their weight loss goals and improve individual patient weight loss.
Presented at the SAGES 2017 Annual Meeting in Houston, TX.
Abstract ID: 85207
Program Number: P622
Presentation Session: iPoster Session (Non CME)
Presentation Type: Poster