UNASSIGNED: Patients with advanced NSCLC who received ICIs treatment in Qingdao Municipal Hospital from January 2019 to December 2021 were selected as the study subjects. The chi-square test, Kaplan-Meier survival analysis, and Cox proportional risk regression analysis were used to evaluate the prognosis. The results were visualized by a nomogram, and the performance of the model was judged by indicators such as the area under the subject operating characteristic curve (AUC) and C-index. The patients were divided into high- and low-risk groups by PILE score, and the prognosis of patients in different risk groups was evaluated.
UNASSIGNED: Multivariate Cox regression analysis showed that immune-related adverse events (irAEs) were prognostic factors for overall survival (OS) improvement, and ECOG PS score ≥2, bone metastases before treatment, and high PIV expression were independent risk factors for OS. The C index of OS predicted by the nomogram model is 0.750 (95% CI: 0.677-0.823), and the Calibration and ROC curves show that the model has good prediction performance. Compared with the low-risk group, patients in the high-risk group of PILE were associated with a higher inflammatory state and poorer physical condition, which often resulted in a poorer prognosis.
UNASSIGNED: PIV can be used as a prognostic indicator for patients with advanced NSCLC treated with ICIs, and a nomogram prediction model can be constructed to evaluate the survival prediction of patients, thus contributing to better clinical decision-making and prognosis assessment.
■选择2019年1月至2021年12月在青岛市市立医院接受ICIs治疗的晚期非小细胞肺癌患者作为研究对象。卡方检验,Kaplan-Meier生存分析,采用Cox比例风险回归分析评估预后。结果通过列线图可视化,并通过受试者工作特性曲线下面积(AUC)和C指数等指标判断模型的性能。根据PILE评分将患者分为高危组和低危组,评估不同风险组患者的预后。
■多因素Cox回归分析显示,免疫相关不良事件(irAEs)是总生存期(OS)改善的预后因素,ECOGPS评分≥2分,治疗前骨转移,高PIV表达是OS的独立危险因素。通过列线图模型预测的OS的C指数为0.750(95%CI:0.677-0.823),标定曲线和ROC曲线表明该模型具有良好的预测性能。与低风险组相比,PILE高危人群的患者与较高的炎症状态和较差的身体状况相关,这通常导致预后较差。
■PIV可作为ICIs治疗晚期NSCLC患者的预后指标,并且可以构建一个列线图预测模型来评估患者的生存预测,从而有助于更好的临床决策和预后评估。