biostudies-literatureFang WNNational Clinical Key Specialty Construction Program, Fujian Provincial Clinical Research Center for Cancer Radiotherapy and Immunotherapythe National Clinical Key Specialty Construction ProgramFujian Clinical Research Center for Radiation and Therapy of Digestive, Respiratory and Genitourinary Malignancies20229https://www.ebi.ac.uk/biostudies/studies/S-EPMC11364744biostudies-literatureUnknown14(1)To develop a simple scoring system based on baseline inflammatory and nutritional markers to predict the long-term prognosis of patients with nasopharyngeal carcinoma (NPC). Conducted a retrospective analysis of clinical data from 1024 newly diagnosed non-metastatic NPC patients. A total of 15 pre-treatment inflammatory and nutritional markers were collected as candidate variables. Receiver operating characteristic (ROC) curves were used to determine the optimal cutoff points for each parameter. Survival analysis was performed using Kaplan-Meier method and Cox regression analysis. Besides, the Inflammation Nutrition Risk Score (INRS) was calculated for each patient by assigning each independent prognostic factor a score of 1. Multivariate Cox regression analysis showed that serum albumin (Scientific reportsA scoring system based on inflammatory and nutritional indicators to predict the long-term survival of patients with non-metastatic nasopharyngeal carcinoma.PMC113647442021Y201420212020Y2012Fei ZDFang WNLin CWu ZPMa LQChen FZhao DWu HXfalseA scoring system based on inflammatory and nutritional indicators to predict the long-term survival of patients with non-metastatic nasopharyngeal carcinoma.To develop a simple scoring system based on baseline inflammatory and nutritional markers to predict the long-term prognosis of patients with nasopharyngeal carcinoma (NPC). Conducted a retrospective analysis of clinical data from 1024 newly diagnosed non-metastatic NPC patients. A total of 15 pre-treatment inflammatory and nutritional markers were collected as candidate variables. Receiver operating characteristic (ROC) curves were used to determine the optimal cutoff points for each parameter. Survival analysis was performed using Kaplan-Meier method and Cox regression analysis. Besides, the Inflammation Nutrition Risk Score (INRS) was calculated for each patient by assigning each independent prognostic factor a score of 1. Multivariate Cox regression analysis showed that serum albumin (2024-01-01T00:00:00Z2024 Aug2025-05-31T22:18:36.284Z2024-11-09T17:35:13.114ZS-EPMC113647443921505910.1038/s41598-024-71360-z