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Development and validation of a risk prediction model for radiotherapy-related esophageal fistula in esophageal cancer

机译:食管癌放疗相关食管瘘风险预测模型的建立与验证

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We aimed to identify the risk factors and provide a nomogram for the prediction of radiotherapy-related esophageal fistula in patients with esophageal cancer (EC) using a case-control study. Patients with esophageal fistula who received radiotherapy or chemoradiotherapy between 2003 and 2017 were retrospectively collected in two institutions. In the training cohort (TC), clinical, pathologic, and serum data of 136 patients (cases) who developed esophageal fistula during or after radiotherapy were enrolled and compared with 272 controls (1:2 matched with the diagnosis time of EC, sex, marriage, and race). After the univariable and multivariable logistic regression analyses, the independent risk factors were identified and incorporated into a nomogram. Then the nomogram for the risk prediction was externally validated in the validation cohort (VC; 47 cases and 94 controls) using bootstrap resampling. Multivariable analyses demonstrated that ECOG PS, BMI, T4, N2/3 and re-radiotherapy were independent factors for esophageal fistula. Then a nomogram was constructed with the C-index of 0.805 (95% CI, 0.762–0.848) for predicting the risk of developing esophageal fistula in EC patients receiving radiotherapy. Importantly, the C-index maintained 0.764 (95% CI, 0.683–0.845) after the external validation. We created and externally validated the first risk nomogram of esophageal fistula associated with radiotherapy. This will aid individual risk stratification of patients with EC developing esophageal fistula.
机译:我们旨在通过病例对照研究确定危险因素,并提供诺模图来预测食管癌(EC)患者的放疗相关食管瘘。在两个机构中回顾性收集2003年至2017年间接受放射治疗或放化疗的食管瘘患者。在训练队列(TC)中,纳入了136例放射治疗期间或之后发生食管瘘的患者(病例)的临床,病理和血清学数据,并与272例对照(1:2匹配EC,性别,婚姻和种族)。经过单变量和多变量logistic回归分析后,确定了独立的危险因素,并将其合并到列线图中。然后,使用引导程序重采样在验证队列(VC; 47例和94个对照)中从外部验证风险预测的列线图。多变量分析表明,ECOG PS,BMI,T4,N2 / 3和再次放疗是食管瘘的独立因素。然后用C指数为0.805(95%CI,0.762–0.848)构建诺模图,以预测接受放射治疗的EC患者发生食管瘘的风险。重要的是,外部验证后,C指数保持0.764(95%CI,0.683–0.845)。我们创建并从外部验证了与放疗相关的食管瘘的第一个风险诺模图。这将有助于发展为食管瘘的食管癌患者的个体风险分层。

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