Setting realistic expectations for weight loss after laparoscopic sleeve gastrectomy

Area of Science:

• Bariatric Surgery
• Obesity Medicine
• Surgical Outcomes Research

Background:

• Bariatric surgery, including laparoscopic sleeve gastrectomy (LSG), offers significant clinical benefits for weight management.
• Patient disappointment with weight loss outcomes can occur, highlighting the need for realistic expectation setting.

Purpose of the Study:

• To develop a predictive calculator for estimating body mass index (BMI) at one year following LSG.
• To provide a tool for patients and clinicians to anticipate post-surgical weight loss outcomes.

Main Methods:

• Retrospective analysis of 211 patients undergoing primary LSG.
• Variable selection using Least Angle Regression (LARS) to build a predictive model.
• External validation on 184 patients and accuracy testing using Wilcoxon signed-rank test.

Main Results:

• A predictive model incorporating preoperative BMI, age, and female gender was developed (R² = 0.672).
• The model demonstrated good accuracy and discrimination, with no statistically significant difference between observed and estimated BMI.
• External validation confirmed the model's robust performance.

Conclusions:

• A validated predictive model for estimating 1-year post-LSG BMI was successfully developed.
• The PREDICT BMI calculator, based on this model, aids in setting realistic patient expectations.
• This tool can improve patient satisfaction by aligning expectations with actual weight loss outcomes.