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预测鼻咽癌患者放疗后坏死的列线图的开发:一项大规模队列研究。

The development of a nomogram to predict post-radiation necrosis in nasopharyngeal carcinoma patients: a large-scale cohort study.

作者信息

Li Xiao-Yun, Sun Xue-Song, Liu Sai-Lan, Chen Qiu-Yan, Guo Shan-Shan, Liu Li-Ting, Yan Jin-Jie, Xie Hao-Jun, Tang Qing-Nan, Liang Yu-Jing, Guo Ling, Tang Lin-Quan, Mai Hai-Qiang

机构信息

State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, People's Republic of China.

Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou 510060, People's Republic of China.

出版信息

Cancer Manag Res. 2019 Jul 8;11:6253-6263. doi: 10.2147/CMAR.S197841. eCollection 2019.

Abstract

This study aimed to establish a nomogram to predict the risk of post-radiation necrosis in nasopharyngeal carcinoma (NPC) patients. This study was performed to identify influencing factors for developing post-radiation necrosis, and to establish an effective nomogram model to predict individual risks in NPC patients. 7144 NPC patients receiving radical radiotherapy from 2007 to 2012 were involved in the study, and 207 of them developed nasopharyngeal necrosis (NPN). The clinical characteristics and baseline laboratory results were collected and analyzed. Independent predictive factors were selected using the Cox proportional model and incorporated into the nomogram. The receiver operating characteristic curve and the calibration curve were used to verify discrimination and calibration. The experience of re-irradiation contributed most to the occurrence of NPN (HR, 15.56, 95% CI 10.84-22.35, <0.001). Clinical factors including age, pathology type, history of diabetes, and original T stage were independent predictors of NPN. Factors reflecting patients' baseline nutritional and inflammatory status such as hemoglobin, albumin, and C-reactive protein were also significantly associated with the development of NPN. With all independent predictive factors incorporated, a nomogram was generated, and it showed excellent discrimination and calibration. This study was the first large-scale cohort study focusing on the development of NPN and established a nomogram to predict its occurrence based on the clinical and laboratory indicators. The nomogram demonstrated good discriminative capacity and satisfactory agreement, which would offer valuable clues for clinicians to distinguish the high-risk NPN population and maintain close surveillance.

摘要

本研究旨在建立一种列线图,以预测鼻咽癌(NPC)患者放疗后坏死的风险。本研究旨在确定放疗后坏死发生的影响因素,并建立一种有效的列线图模型来预测NPC患者的个体风险。纳入了2007年至2012年接受根治性放疗的7144例NPC患者,其中207例发生了鼻咽坏死(NPN)。收集并分析了临床特征和基线实验室检查结果。使用Cox比例模型选择独立预测因素并将其纳入列线图。采用受试者操作特征曲线和校准曲线来验证区分度和校准情况。再次放疗的经历对NPN的发生影响最大(HR,15.56,95%CI为10.84 - 22.35,<0.001)。年龄、病理类型、糖尿病史和初始T分期等临床因素是NPN的独立预测因素。反映患者基线营养和炎症状态的因素,如血红蛋白、白蛋白和C反应蛋白,也与NPN的发生显著相关。纳入所有独立预测因素后生成了列线图,其显示出良好的区分度和校准情况。本研究是第一项聚焦于NPN发生的大规模队列研究,并基于临床和实验室指标建立了预测其发生的列线图。该列线图显示出良好的区分能力和满意的一致性,可为临床医生区分高危NPN人群并进行密切监测提供有价值的线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f320/6626898/e5cdbbb1b3d0/CMAR-11-6253-g0001.jpg

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