Construction of a Nomogram Prediction Model for the Risk of Hypoxemia after Stanford Type A Aortic Dissection Operation
Objective:To explore the risk factors of hypoxemia after Stanford type A aortic dissection(ATAAD)operation,and to construct nomogram prediction model for the occurrence of risks.Methods:120 ATAAD patients were divided into occurrence group(n=68)and non-occurrence group(n=52)according to whether hypoxemia occurred after operation.The risk factors affecting postopera-tive hypoxemia in patients were analyzed,and constructed the prediction model based on these risk factors.The predictive efficacy was analyzed by receiver operating characteristic(ROC)curve.Results:The independent risk factors for postoperative hypoxemia in ATAAD patients included High body mass index(BMD,high white blood cells,high alanine aminotransferase(ALT),high interleukin-6(IL-6),high sensitive C-reactive protein(hs-CRP)(P＜0.05).The area under the curve(AUC)of BMI,leukocyte,ALT,IL-6,hs-CRP and nomo-gram prediction models were 0.800,0.867,0.661,0.639,0.829 and 0.974 respectively.According to the decision curve analysis,the threshold probability range of the model was between 0.01 and 0.97,and its net benefit was higher than the two invalid lines.Conclusion:High BMI,leukocyte,ALT,IL-6 and hs-CRP levels are associate with the risk of hypoxemia after ATAAD,the nomogram prediction model based on risk factors can be used to assess the risk of postoperative hypoxemia in patients.
Stanford type A aortic dissectionHypoxemiaNomogramPrediction model
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