Performance of a predictive weight loss model in terms of rapid detection of inadequate weight loss after Roux-en-Y Gastric Bypass

Multiple prediction models exist in the literature to aide both the patients and providers taking care of patients undergoing bariatric surgery.(1 –5) For patients, these models help with understanding predicted ranges of weight loss, comorbidity reduction, and complication risk. Furthermore, their use creates a dialogue of shared decision making with increased patient understanding of bariatric surgery risks and benefits. As stated by Burga rd et al, it is known that about 40% of patients will overestimate their post-operative weight loss.(5) For providers, prediction models aide in counseling patients on realistic expectations for weight loss, comorbidity reduction, and surgical risk following bariatric surgery.(5) Nevertheless, these predictive models, if not accurate, can lead to misconceptions regarding expected weight loss and comorbidity benefits postoperatively.
Source: Surgery for Obesity and Related Diseases - Category: Surgery Authors: Tags: Editorial Source Type: research