Construction and validation of a risk prediction model for oxygen saturation drop during intra-hospital transport in patients after general anesthesia
Objective To develop and validate a nomogram model for predicting the risk of hypoxemia for patients in the post-anesthesia care unit(PACU).Methods A total of 791 PACU patients after general anesthesia at Second Affiliated Hospital of Zhejiang Chinese Medical University from March to September 2021 were selected as the training group,and 419 PACU patients at Second Affiliated Hospital of Zhejiang Chinese Medical University and Hangzhou Hospital of Traditional Chinese Medicine from September 2021 to June 2024 were selected as the validation group.Patients were grouped based on whether their percutaneous blood oxygen saturation(SpO2)decreased by more than 5％.The risk factors of SpO2 decline were determined by univariate and multivariate logistic regression analysis.A nomogram was developed based on the identified risk factors and validated using R software.Results The incidence of decreased SpO2 was 29.1％.The multivariate logistic regression analysis showed that age,BMI,smoking history,SpO2 decline during transfer,oxygen therapy in the PACU,early warning score,Ramsay sedation score,length of PACU stay,transfer duration,professional titles of transfer personnel,and communication with patients during transfer were risk factors of declined SpO2 in PACU patients.For the training group,the area under the ROC curve(AUC),sensitivity,specificity,and Youden index were 0.878,0.822,0.793,and 0.615,respectively.For the validation group the accuracy of the model was 80.19％.Conclusion The nomogram model developed in this study exhibits good performance in predicting the risk of SpO2 decline for patients in the PACU.
Post-anesthesia care unitTransferOxygen saturationRisk factorsNomogram
万方数据
维普
