[A clinical prediction model for failure to attain standard body weight in the early postoperative period after sleeve gastrectomy: construction and validation based on feature screening via the Boruta algorithm].

A prediction model was successfully constructed and validated based on four preoperative indicators: body weight, VFA, fasting insulin and fasting C-peptide. It provides an auxiliary predictive tool for the clinical assessment of the risk of failing to attain standard body weight in the early postoperative period among obese patients undergoing SG.