Supplementary Material for: Risk factor analysis and prediction of acute postoperative lung injury after type A aortic dissection

Objective To investigate the risk factors of acute lung injury (ALI) after type A aortic dissection and establish a predictive model to evaluate the risk of ALI. Methods The clinical data of patients who underwent type A aortic dissection in the First Affiliated Hospital of Nanchang University from January 2022 to June 2024 were retrospectively analyzed. According to whether acute lung injury occurred after surgery, ALI group and non-ALI group were divided into two groups. Univariate and multivariate analysis were performed on the factors that may cause acute lung injury, and multivariate Logistic regression prediction model was constructed. Results A total of 187 patients were included in the study, including 94 patients in the non-ALI group and 93 patients in the ALI group. The incidence of ALI after type A aortic dissection was 49.7%. Multivariate analysis showed that BMI, smoking history, D-dimer, interleukin-6, and cardiopulmonary bypass time were independent risk factors for ALI after type A aortic dissection. The prediction model based on these risk factors has good prediction efficiency. Conclusion BMI, smoking history, D-dimer, interleukin-6 and cardiopulmonary bypass time are independent risk factors for ALI after type A aortic dissection. The predictive model established based on these risk factors has good predictive efficacy, which helps to identify high-risk patients early, take appropriate preventive measures, improve surgical safety and improve patient prognosis.