Establishment of a novel weight reduction index after laparoscopic sleeve gastrectomy based on abdominal fat area

Abstract

Abstract Background: In light of ongoing research elucidating the intricacies of obesity and metabolic syndrome, the role of abdominal fat (especially visceral fat) has been particularly prominent. Studies have revealed that visceral adipose tissue can accelerate the development of metabolic syndrome by releasing various bioactive compounds and hormones, such as lipocalin, leptin and interleukin.Objectives The purpose of this study was to ascertain the reliability of abdominal fat area and other parameters as valid predictors of weight loss postoperatively.Method: A retrospective analysis was performed on the clinical data of 167 patients with obesity. Among them, 105 patients who satisfied predefined inclusion and exclusion criteria were included. The parameters evaluated included total abdominal fat area(TAFA), laboratory indicators and anthropometric measurements. Weight reduction was quantified through percent total weight loss (%TWL) and percent excess weight loss (%EWL) postoperatively. Binary logistic regression analysis and receiver operating characteristic (ROC) curve analysis were employed to identify predictors of weight loss.Result: Binary logistic regression analysis emphasized that total abdominal fat area was an independent predictor of %EWL ≥ 75%(p < 0.001). Total abdominal fat area(p = 0.033) and BMI(p = 0.003) were independent predictors of %TWL ≥ 30%.Conclusion: In our cohort, weight loss at 1 year after surgery was closely related to the abdominal fat area at the preoperative third lumbar plane. Based on these results, we formulated a novel P-index,exhibiting superior predictive value for excellent weight loss.