Introduction and Objective: Postoperative hypoxemia (PH) is the most common postoperative pulmonary complication (PPC) of bariatric surgery. However, clinically validated tools and tests are lacking to predict the risk of hypoxemia after bariatric surgery in patients with obesity. Therefore, this study developed and validated a nomogram model for predicting the probability of hypoxemia within 24 hours after laparoscopic sleeve gastrectomy (LSG) in patients with obesity.Methods: The prediction model was based on a retrospective study of 195 patients with obesity who underwent LSG between January 2018 and December 2023 at our hospital. Multivariate logistic regression analysis was performed to identify independent predictors of postoperative hypoxemia. Model performance was evaluated using receiver operating characteristic curves, calibration curves, clinical decision curve analysis, and clinical impact curves. This prediction model was internally validated with bootstrap resampling and further externally validated in 105 patients who underwent LSG at two other hospitals.Results: Predictors in the nomogram prediction model included preoperative body mass index (BMI), platelet (PLT), fibrinogen (FIB), and the triglyceride-glucose (TyG) index. This prediction model had favorable discrimination, calibration, and clinical validity in both the training and validation sets. We published the nomogram online in the form of a simple and useful calculator.Conclusion: The prediction model we constructed can accurately predict the risk of postoperative hypoxemia in patients with obesity, helping professionals to identify high-risk patients early and make informed clinical decisions.
J. Guo: None. J. Yu: None. P. Tian: None. G. Lu: None. K. Mutailipu: None. X. Wen: None. J. Yin: None. L. Du: None. L. Lu: None. Y. Wang: None. Y. Zhuang: None. S. Qu: None. H. Chen: None. L. Bu: None.
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