Predictive value of systemic immune inflammatory index combined with prealbumin for postoperative pulmonary cancer infection after lung cancer surgery
XU Wei1, GAO Tiantian1, LI Mingyue1, LIU Xiangjun1, ZHAO Wenjing2
（1. Department of Anesthesiology, 2. Department of Critical Care Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou Jiangsu 221006, China)
Abstract： Objective： To explore the predictive value of systemic immune inflammation index (SII) combined with prealbumin for postoperative pulmonary infection after lung cancer surgery. Methods: A retrospective analysis was performed on 1 025 patients with lung cancer who underwent single lobectomy admitted to the Department of Thoracic Surgery, Affiliated Hospital of Xuzhou Medical University from January 2017 to December 2021. The patients were divided into infected group and non-infected group according to whether they were infected after surgery. The risk factors of postoperative lung infection were analyzed by univariate and multivariate Logistic regression. Receiver operating characteristic (ROC) curve was used to analyze the predictive efficacy of SII and prealbumin alone and in combination for postoperative lung infection. Results: Of the 1 025 patients with lung cancer, 108 cases (10.5%) developed pulmonary infection after surgery. Compared with the non-infected group, the infected group had higher ASA grade, TNM stage, leukocyte level and SII value, more patients with diabetes mellitus, longer operation time and maximum tumor diameter, and lower albumin and prealbumin levels (all P<0.05). Multivariate Logistic regression analysis showed that long operation time, combined diabetes mellitus, low prealbumin level and high SII value were independent risk factors for lung infection after lung cancer surgery (all P<0.05). ROC curve results showed that the area under curve (AUC) of SII was 0.705 (95%CI: 0.656-0.755), and the AUC of prealbumin was 0.626 (95%CI: 0.572-0.680); while the AUC of SII combined with prealbumin in predicting the occurrence of lung infection was 0.751, which was better than the value of single index in the diagnosis and prediction of postoperative lung infection after lung cancer surgery (P<0.05). Conclusion: SII and proalbumin could predict the occurrence of postoperative lung infection after lung cancer surgery, and the combination of SII and proalbumin has higher predictive value for the occurrence of lung infection.
［Key words］lung cancer; systemic immune inflammatory index; prealbumin; postoperative lung infection
