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Original Articles

Prognostic Value of the Geriatric Nutritional Risk Index in Patients Exceeding 70 Years Old with Esophageal Squamous Cell Carcinoma

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Pages 620-626 | Received 29 May 2019, Accepted 24 Jul 2019, Published online: 08 Aug 2019
 

Abstract

To investigate the prognostic value of the Geriatric Nutritional Risk Index (GNRI) in esophageal squamous cell carcinoma (ESCC) patients treated with radiotherapy (RT) or definitive concurrent chemoradiotherapy (dCRT). Fifty-two ESCC patients were included from July 2014 to December 2018. RT was delivered at a dose of 1.8–2.0 Gy per day to a total dose of 50–60 Gy. Tumor response was assessed using the RECIST 1.1 system. Overall survival (OS) and progression-free survival (PFS) were calculated and compared with the Kaplan–Meier method. Multivariate analysis of predictive factors of response and survival was performed using a logistic regression and a Cox model, respectively. In multivariate analysis, GNRI score (HR 0.278, P = 0.036) was the only independent prognostic factor for tumor response. As for survival outcomes, GNRI score (OS: HR 0.505, P = 0.028; PFS: HR 0.583, P = 0.045) and treatment modality (OS: HR 0.356, P = 0.015; PFS: HR 0.392, P = 0.0014) were both independent prognostic factors for better OS and PFS. Additionally, there was no correlation between GNRI score and treatment modality (Spearman’s ρ = 0.200; P = 0.154). In conclusion, routine use of the GNRI criteria may help in the risk stratification of elderly patients undergoing RT/dCRT. The dCRT treatment could provide survival benefits for elderly ESCC patients.

Disclosure Statement

The authors declare no conflicts of interest.

Authors’ Contributions

Ying Wang and Hong’en Xu contributed to the analysis and interpretation of data and drafted the manuscript. Hong’en Xu contributed to the conception and design of the study, acquisition and interpretation of data, supervised the study. Lei Wang, Min Fang, and Jianbo Li contributed to the conception and design of the study, acquisition, and interpretation of data. Tao Song, Wenming Zhan, and Ying Wang contributed to the conception and design of the study, interpretation of data, and critically revised the manuscript for its intellectual content. All authors read and approved the final manuscript.

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