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一个结合术后SII和PIV的预后性诺摩图改善了NSCLC的长期生存预测

Qian Yu^1,2, Leliang Zheng³, Majid Iqbal³

¹Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410013, People's Republic of China.

Journal of inflammation research

|December 29, 2025

概括

手术后的全身免疫炎症指数 (SII) 和泛免疫炎症值 (PIV) 预测了手术后非小细胞肺癌 (NSCLC) 患者的生存率. 整合这些标记物的名图可以改善个性化风险分层,以获得更好的患者结果.

科学领域:

在瘤学瘤学.
免疫学免疫学免疫学
生物统计学生物统计学

背景情况:

系统性炎症显著影响非小细胞肺癌 (NSCLC) 的进展和预后.
在NSCLC中术后炎症标志物的预后效用仍然没有得到充分的探索.

研究的目的:

评估五个炎症指数的预后值:中性粒细胞与淋巴细胞的比率 (NLR),血小板与淋巴细胞的比率 (PLR),全身免疫炎症指数 (SII),全身炎症反应指数 (SIRI) 和泛免疫炎症值 (PIV).
开发和验证一个名谱,用于在接受切除的NSCLC患者中进行个性化风险分层.

主要方法:

在2015年至2019年期间接受切除的243名NSCLC患者的回顾性分析.
术前和术后炎症指数及其变化 (Δ值) 的计算.
使用ROC分析,考克斯回归,LASSO和逐步选择进行预测标记的识别;通过70/30持久分割开发和验证名录.

主要成果:

手术后的SII和PIV,以及它们的术后变化 (ΔSII,ΔPIV),表现出比手术前值更好的预后性能.
开发的诺米图,包括POST_SII,POST_PIV,TNM阶段,吸烟史,手术前白蛋白,年龄和性别,在培训队列中达到0.85的C指数,在验证队列中达到0.80.
诺莫格拉姆模型的表现优于传统的TNM分期和临床模型,在决策曲线分析中显示了增强的净临床益处.

结论:

手术后的SII和PIV是NSCLC切除后患者生存的强有力的炎症预测剂.
整合这些术后炎症标志物与临床变量的一种名谱为NSCLC患者提供了准确和个性化的风险分层.

关键词:

这个名字是名ogramogram.全免疫性炎症的价值.手术后的预后情况.生存预测的预测.系统性免疫炎症指数

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