预后营养指数与中性粒细胞淋巴细胞比值复合评分预测手术切除胸腺上皮肿瘤患者的生存率:一项回顾性单中心队列研究OA
Prognostic Nutritional Index and Neutrophil-to-Lymphocyte Ratio Com-posite Score for Predicting Survival in Patients with Surgically Resected Thymic Epithelial Tumors:A Retrospective Single-Center Cohort Study
目的:探讨术前预后营养指数(prognostic nutritional index,PNI)和中性粒细胞/淋巴细胞比值(neutrophil-to-lymphocyte ratio,NLR)对胸腺上皮肿瘤(thymic epithelial tumors,TETs)预后的影响,并基于两者构建复合评分 CNP(composite score of NLR and PNI)用于预测手术切除TETs 患者的生存率.方法:回顾性分析2013~2022 年在四川省肿瘤医院接受手术治疗的 239 例 TETs 患者临床资料.PNI 与 NLR 均基于术前外周血检验指标计算.进一步构建CNP:首先对 PNI 与 NLR 进行 Z 分数标准化(PNIz、NLRz),随后将 PNIz 与 NLRz 同时纳入 Cox 比例风险回归模型提取回归系数(β),并以 β 作为权重建立复合评分公式:CNP=βPNI×PNIz+βNLR×NLRz.采用时间依赖性 ROC 曲线确定预测 5 年总生存期(overall survival,OS)的最佳截断值,并据此将 PNI、NLR 及 CNP 分层.Kaplan-Meier 法绘制 OS 曲线,Log-rank 检验比较组间差异.以 Cox 比例风险模型进行单因素及多因素分析,评估各指标的独立预后价值.结果:时间依赖性ROC 曲线确定预测5 年OS 的PNI、NLR 和CNP 的最佳截断值分别为47.9、2.81 和0.57.基线临床病理特征分析显示,PNI 与 TNM 分期(P<0.001)、Masaoka-Koga 分期(P<0.001)及肿瘤直径(P=0.025)相关,其中低 PNI 组肿瘤直径>5 cm 的患者比例高于高 PNI 组(63.6%vs 47.4%);NLR 与 TNM 分期(P<0.001)、Masaoka-Koga分期(P<0.001)及性别(P=0.020)相关,其中高 NLR 组男性患者比例高于低 NLR 组(60.6%vs 44.0%);CNP 与TNM 分期及 Masaoka-Koga 分期均相关(均 P<0.001).多变量 Cox 模型显示,低 PNI(HR=2.29,95%CI:1.03~5.10,P=0.043)、高 NLR(HR=2.55,95%CI:1.16~5.62,P=0.020)和高 CNP(HR=3.85,95%CI:1.67~9.09,P=0.002)均是 TETs 患者 OS 的独立危险因素.结论:PNI 与 NLR 联合构建的 CNP 评分可在术前对 TETs 患者进行简便、可重复的风险分层,有望为个体化随访与综合治疗策略提供参考.
Objective:To investigate the prognostic impact of the preoperative prognostic nutritional index(PNI)and neutrophil-to-lymphocyte ratio(NLR)in thymic epithelial tumors(TETs),and to develop a composite score of NLR and PNI(CNP)for predicting survival in patients undergoing surgical resection for TETs.Methods:We retrospectively reviewed the clinical data of 239 patients with TETs who underwent surgical treatment at Sichuan Cancer Hospital between 2013 and 2022.The PNI and NLR were calculated from preoperative peripheral blood test results.A CNP integrating PNI and NLR was further developed:PNI and NLR were first standardized using Z-scores(PNIz and NLRz),after which PNIz and NLRz were simultaneously entered into a Cox proportional hazards model to obtain the regression coefficients(β).These coeffi-cients were used as weights to construct the composite formula:CNP=βPNI×PNIz+βNLR×NLRz.Time-dependent re-ceiver operating characteristic(ROC)analysis was applied to determine the optimal cutoff for predicting 5-year overall sur-vival(OS),and PNI,NLR,and CNP were subsequently dichotomized according to their respective cutoffs.Kaplan-Meier curves were generated to estimate OS and compared between groups using the Log-rank test.Univariate and multivariable Cox proportional hazards models were performed to evaluate the independent prognostic value of these biomarkers.Results:Time-dependent ROC analysis identified the optimal cutoff values for predicting 5-year OS as 47.9 for PNI,2.81 for NLR,and 0.57 for CNP.Analysis of baseline clinicopathological characteristics showed that PNI was associated with TNM stage(P<0.001),Masaoka-Koga stage(P<0.001),and tumor size(P=0.025);the proportion of patients with tumors>5 cm was higher in the low-PNI group than in the high-PNI group(63.6%vs 47.4%).NLR was associated with TNM stage(P<0.001),Masaoka-Koga stage(P<0.001),and sex(P=0.020);the proportion of male patients was higher in the high-NLR group than in the low-NLR group(60.6%vs 44.0%).CNP was associated with both TNM stage and Masaoka-Koga stage(both P<0.001).In the multivariable Cox model,low PNI(HR=2.29,95%CI:1.03~5.10,P=0.043),high NLR(HR=2.55,95%CI:1.16~5.62,P=0.020),and high CNP(HR=3.85,95%CI:1.67~9.09,P=0.002)were all independent risk factors for OS.Conclusion:The CNP score,constructed by combining PNI and NLR,en-ables simple and reproducible preoperative risk stratification in patients with TETs and may help inform individualized follow-up and multimodal treatment strategies.
胡俊楠;马可;庄翔
646000 四川 泸州,西南医科大学附属医院 胸心外科||610041 成都,四川省肿瘤医院·研究所,四川省肿瘤临床医学研究中心,四川省癌症防治中心,电子科技大学附属肿瘤医院胸外科610041 成都,四川省肿瘤医院·研究所,四川省肿瘤临床医学研究中心,四川省癌症防治中心,电子科技大学附属肿瘤医院胸外科646000 四川 泸州,西南医科大学附属医院 胸心外科||610041 成都,四川省肿瘤医院·研究所,四川省肿瘤临床医学研究中心,四川省癌症防治中心,电子科技大学附属肿瘤医院胸外科
医药卫生
胸腺上皮肿瘤预后营养指数中性粒细胞与淋巴细胞比值复合评分
Thymic epithelial tumorsPrognostic nutritional indexNeutrophil-to-lymphocyte ratioComposite score
《肿瘤预防与治疗》 2026 (8)
666-675,10
评论