Can Pre-operative Lean Mass Predict Weight Loss After Roux-en-Y Gastric Bypass?
Can Pre-operative Lean Mass Predict Weight Loss After Roux-en-Y Gastric Bypass?
The goal of this observational study is to evaluate whether preoperative fat-free mass predicts post-operative weight loss in patients undergoing Roux-En-Y gastric bypass. The primary objective of this study is to evaluate whether preoperative fat-free mass predicts weight loss in the two years following RYGB.
The investigators will collect the following data, assessed as part of routine follow-up:
Quality of life: quality of life by the "Bariatric Analysis and Reporting Outcome (BAROS) questionnaire", symptoms of dumping syndrome by the "Sigstad diagnostic score system" Birthdate, birthweight and term of their children
This study is prospective but the investigators will also use the retrospective data of the patients who underwent bariatric surgery before the acceptance of the study, with their informed consent.
The investigators will collect the following data, assessed as part of routine follow-up:
Preoperatively:
These assessments will be repeated after surgery at the frequency indicated below:
Study sample calculation:
The investigators hypothesized, in a conservative way and based on available litterature, that the patients will decrease their lean mass by 5±10 kg within 2 years after RYGB. A sample size of 32 achieves 90% power to detect a mean of paired differences of 5 kg with an estimated standard deviation of paired differences of 10.0 and with a significance level (alpha) of 0.050 using a two-sided paired t-test.
The investigators plan to evaluate whether preoperative FFM (independent variable) predicts weight loss (dependent variable) while adjusting for age, sex, preoperative BMI category (35-40, 40-50, > 50), and FM, physical activity. This corresponds to 6 adjustment variables altogether, or 3 supplemental variables. According to the rule of Harrel that stipulates at least 10 observations per independent variables, the investigators need at least 70 participants (10*(1+6)) to perform these adjustments.
Considering a drop-out rate of 30% at 2 years, the investigators will need a sample size of: 70+30% = 91 subjects.
Inclusion Criteria:
Exclusion Criteria:
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