ArticleFrontiers in medicine2026
Development and validation of risk factors prediction model for hypoxemia in the PACU patients after major abdominal surgery: a retrospective study.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: Hypoxemia is a common and potentially harmful complication in patients undergoing major abdominal surgery (MAS). We aimed to develop and validate a nomogram prediction model for hypoxemia in the post-anesthesia care unit (PACU) after MAS. Patients and methods: A total of 378 patients who underwent MAS and were admitted into the PACU were selected as the training group from June 1, 2024 to December 31, 2024. From April 1, 2025 to May 31, 2025, 189 patients who underwent MAS and were admitted to the PACU were enrolled as the validation group for temporal validation. Logistic regression analysis was employed to develop the nomogram model using age, body mass index (BMI), the ratio of arterial partial pressure of oxygen to fraction of inspired oxygen (PaO₂/FiO₂), and hemoglobin (HGB) as variables. The area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA) were used to evaluate the model accuracy. The primary outcome was defined as hypoxemia that occurred after tracheal extubation in the PACU. Results: In the training group ( Conclusion: The nomogram model based on age, BMI, PaO₂/FiO₂, and HGB shows good predictive performance for hypoxemia. This model may help anesthesia staff identify patients at high risk of hypoxemia in the PACU.
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