The construction and empirical study of the risk prediction model of lung infection in patients with liver cancer after hepatectomy

LIU Yin; WANG Yu; DU Bairu; YAN Pei; BIAN Dongmei

doi:10.3969/j.issn.1007-8134.2023.06.003

Abstract：Objective The risk prediction model of pulmonary infection after hepatectomy was designed and validated.Methods A total of 125 patients with liver cancer who underwent hepatectomy in the surgical operating Room of the First Affiliated Hospital of the Chinese People's Liberation Army Air Force Medical University from January 2021 to December 2022 were included in the study.They were divided into 2 groups according to whether pulmonary infection occurred within 30 d after surgical treatment:In the pulmonary infection group(n=26)and the non-pulmonary infection group(n=99),the clinical data of the two groups were compared to study the causes of lung infection in patients with liver cancer after partial hepatectomy,and the risk prediction model of lung infection in patients with liver cancer after hepatectomy was designed and verified.Result Tumor location(right lobe),postoperative pleural effusion,operation method(laparotomy)and COUNT score≥4 points were the risk factors for pulmonary infection after hepatectomy in HCC patients(P＜0.05).Hosmer-Lemeshow fit test showed that χ2=5.955,P=0.652,indicating a good fit of the model.ROC analysis showed that the AUC of the model for predicting the risk of pulmonary infection after hepatectomy was 0.957,and the Yoden index was 0.784.Sensitivity and specificity were 88.5%and 89.9%,accuracy was 92.8%.Conclusion The risk prediction model of lung infection in patients with liver cancer after Hepatectomy constructed in this study is effective,and can provide auxiliary reference for the prediction of lung infection in patients with liver cancer after Hepatectomy.