Correlating actual one-year weight loss with predicted weight loss by the MBSAQIP: bariatric surgical risk/benefit calcu
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and Other Interventional Techniques
2020 SAGES ORAL
Correlating actual one‑year weight loss with predicted weight loss by the MBSAQIP: bariatric surgical risk/benefit calculator Randal Zhou1,2 · Lee Ying1 · Jessica Valle1 · Jessie Moore1 · Geoffrey Nadzam1 · Kurt Roberts1 · Saber Ghiassi1 · John Morton1 · Andrew Duffy1 Received: 4 April 2020 / Accepted: 16 September 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Background The American Society for Metabolic and Bariatric Surgery has released a Bariatric Surgical Risk/Benefit Calculator, an online tool with which patients and providers can input patient preoperative information and predict their 1-year weight loss. We seek to validate our institutional data with the national database and investigated patient factors that influence lack of treatment effect after bariatric surgery. Materials and methods A retrospective review of all prospectively collected data of bariatric surgeries performed at Yale New Haven Hospital from 2017 to 2018 was conducted. By entering data into the MBSAQIP Calculator, the 1-year predicted Body Mass Index was calculated and compared to the actual weight loss. Statistical analysis was performed using an unpaired t-test with Welch’s correction (Prism 8, GraphPad). Results The average difference between the actual and predicted weight loss at 1-year for 327 patients was 3.6 BMI points. When the actual weight loss was compared to predicted BMI at 1 year, a high correlation was found (R = 0.6, P = 0.003). We examined the outliers with a comparison of weight loss for those patients who’s BMI fell within 5 points of the predicted versus those whose BMI recorded above 5. It was discovered those patients who had higher than 5 BMI points than predicted, had higher preoperative BMI (46.1 vs 43.6, P = 0.008). Conclusions The MBSAQIP calculator is a useful tool to guide surgeons with decision-making and informed consent. Our institution’s 1-year weight loss data correlated closely with that predicted. From the outliers, we found that patients who did not meet the predicted weight loss had significantly higher preoperative BMI. This may alter preoperative discussions with class 3 or over obese patients regarding expected weight loss and warrant investigations with the national database to develop modifications of the calculator. Keywords MBSAQIP risk/benefit calculator · Class 5 obesity · Response to surgery Obesity is one of the most significant health challenges faced today and this has led to an increase in the number of bariatric surgeries performed in the United States [1]. The Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) Participant Use Data File (PUF) allows researchers and clinicians to evaluate quality of care and outcomes in patients after undergoing bariatric surgery [2]. Recently, the American Society for
* Randal Zhou [email protected] 1
Division of Bariatric and Minimally Invasive Surgery, Yale University, School of Medicine, New Haven, USA
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