Summary:
In patients undergoing laparoscopic sleeve gastrectomy (LSG), preoperative assessment using a combination of HDL-c levels and visceral adipose tissue (VAT) significantly predicted postoperative VAT reduction compared to assessment based solely on individual macroscopic anthropometric or metabolic parameters, though it was associated with no reported adverse effects.
| PICO | Description |
|---|---|
| Population | Adults undergoing laparoscopic sleeve gastrectomy (LSG) for obesity-related metabolic disorders. |
| Intervention | Use of a predictive nomogram based on preoperative HDL-c levels and visceral adipose tissue (VAT) to assess VAT reduction outcomes post-LSG. |
| Comparison | Standard preoperative assessments relying only on general anthropometric and metabolic measurements, without combined biomarker modeling. |
| Outcome | The combined HDL-c and VAT model demonstrated high predictive accuracy for VAT reduction postoperatively, with an AUC of 0.88 in the validation group. This model enhances individualized treatment planning without reported adverse effects. |
Source: Sun, Yilan, et al. “HDL-C and visceral adipose tissue as combined predictors of visceral fat changes following laparoscopic sleeve gastrectomy.” BMC Surgery. Read article here.
