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. 2024 May 17:11:1390045.
doi: 10.3389/fsurg.2024.1390045. eCollection 2024.

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

Tianyi Feng  1 , Sanyuan Hu  2 , Changrong Song  3 , Mingwei Zhong  3
Affiliations

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

Tianyi Feng et al. Front Surg. .

Abstract

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. 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. 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%. In our cohort, %TWL ≥30% at 1 year after surgery was closely related to the abdominal fat area and BMI. Based on these results, we formulated a novel model based on these factors, exhibiting superior predictive value for excellent weight loss.

Keywords: bariatric surgery; obesity; sleeve gastrectomy; total abdominal fat area; visceral fat area (VFA); weight loss.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Follow-up study flow chart on patients who underwent LSG.
Figure 2
Figure 2
(A) Total abdominal fat area. (B) Visceral fat area.
Figure 3
Figure 3
Weight loss plot over time. Values are shown as the mean values of %EWL by the circle dots and %TWL by the square dots, and standard deviation of both by vertical lines.
Figure 4
Figure 4
Receiver-operating characteristic (ROC) for training set and validation set.
Figure 5
Figure 5
Model calibration plots for training set and validation set.
Figure 6
Figure 6
Decision curve analysis (DCA) of the training set and validation set.
See this image and copyright information in PMC

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