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基于血小板分布宽度与淋巴细胞比值的列线图预测局部晚期鼻咽癌患者的总生存期

A Nomogram Based on Platelet Distribution Width-to-Lymphocyte Ratio to Predict Overall Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.

作者信息

Wang Runzhi, Zhao Rong, Liang Zhongguo, Chen Kaihua, Zhu Xiaodong

机构信息

Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530021, People's Republic of China.

Department of Radiation, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia autonomous Region, 010020, People's Republic of China.

出版信息

J Inflamm Res. 2024 Jul 3;17:4297-4308. doi: 10.2147/JIR.S462833. eCollection 2024.

DOI:10.2147/JIR.S462833
PMID:38973997
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11227859/
Abstract

PURPOSE

To evaluate the prognostic significance of platelet distribution width-to-lymphocyte ratio (PDWLR) in patients with locoregionally advanced nasopharyngeal carcinoma (LA-NPC). Moreover, a nomogram based on PDWLR was built and validated to predict the overall survival (OS) of this population.

PATIENTS AND METHODS

All LA-NPC patients who were diagnosed and treated between January 2015 and December 2017 at Guangxi Medical University Cancer Hospital were included. Cox regression analyses were performed to assess PDWLR and clinical features that might affect OS to screen for independent predictors. The independent predictors and important clinical variables were used to build and validate a nomogram for predicting OS. Then, the capability of the model was estimated by discrimination, calibration and clinical usefulness. Risk stratification was conducted using the nomogram-calculated risk score, and the comparison of survival in the high-risk group and the low-risk group was through Kaplan-Meier method.

RESULTS

This study included 746 LA-NPC patients. Multivariate Cox analysis suggested that age (hazard ratio [HR]: 1.81, 95% confidence interval [CI]: 1.18-2.78, P = 0.007), gender (HR: 2.03, 95% CI: 1.12-3.68, P = 0.019), pre-treatment plasma Epstein-Barr virus (EBV) DNA (HR: 1.55, 95% CI: 1.01-2.39, P = 0.047), PDWLR (HR: 2.61, 95% CI: 1.67-4.09, P < 0.001) were independent predictors of OS. Compared to the 8th edition TNM staging system, the nomogram based on the above four factors and important clinical variables (T stage and N stage) demonstrated better predictive performance. Moreover, the model had the ability to identify individuals at high risk.

CONCLUSION

PDWLR was a promising negative predictor for patients with LA-NPC. The nomogram based on PDWLR demonstrated better predictive performance than the current staging system.

摘要

目的

评估血小板分布宽度与淋巴细胞比值(PDWLR)在局部区域晚期鼻咽癌(LA-NPC)患者中的预后意义。此外,构建并验证基于PDWLR的列线图,以预测该人群的总生存期(OS)。

患者与方法

纳入2015年1月至2017年12月在广西医科大学附属肿瘤医院诊断并接受治疗的所有LA-NPC患者。进行Cox回归分析,以评估PDWLR和可能影响OS的临床特征,筛选独立预测因素。使用独立预测因素和重要临床变量构建并验证预测OS的列线图。然后,通过区分度、校准度和临床实用性评估模型的能力。使用列线图计算的风险评分进行风险分层,高危组和低危组生存情况的比较采用Kaplan-Meier法。

结果

本研究纳入746例LA-NPC患者。多因素Cox分析表明,年龄(风险比[HR]:1.81,95%置信区间[CI]:1.18 - 2.78,P = 0.007)、性别(HR:2.03,95% CI:1.12 - 3.68,P = 0.019)、治疗前血浆EB病毒(EBV)DNA(HR:1.55,95% CI:1.01 - 2.39,P = 0.047)、PDWLR(HR:2.61,95% CI:1.67 - 4.09,P < 0.001)是OS的独立预测因素。与第8版TNM分期系统相比,基于上述四个因素和重要临床变量(T分期和N分期)的列线图显示出更好的预测性能。此外,该模型有能力识别高危个体。

结论

PDWLR是LA-NPC患者有前景的不良预后预测因素。基于PDWLR的列线图显示出比当前分期系统更好的预测性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd0/11227859/c335233cb4e8/JIR-17-4297-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd0/11227859/73350d27732e/JIR-17-4297-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd0/11227859/89e1ae6c1e0f/JIR-17-4297-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd0/11227859/5c9940485900/JIR-17-4297-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd0/11227859/3f01710cac0a/JIR-17-4297-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd0/11227859/c335233cb4e8/JIR-17-4297-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd0/11227859/73350d27732e/JIR-17-4297-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd0/11227859/89e1ae6c1e0f/JIR-17-4297-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd0/11227859/5c9940485900/JIR-17-4297-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd0/11227859/3f01710cac0a/JIR-17-4297-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acd0/11227859/c335233cb4e8/JIR-17-4297-g0005.jpg

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