A Prognostic Model of Elderly Patients with Non-small Cell Lung Cancer 
Based on Geriatric Nutritional Risk Index

Background and objective The relationship between nutritional status and prognosis of cancer patients has emerged as a hotspot for research. The aim of this study is to explore the application value of the geriatric nutritional risk index (GNRI) in assessing the prognosis of elderly patients with non-small cell lung cancer (NSCLC), and establish a Nomogram to predict the prognosis of elderly patients with NSCLC. Methods The data of patients with NSCLC aged ≥65 years who were initially treated in the First Affiliated Hospital of Zhengzhou University from January 2016 to December 2019 were retrospectively analyzed. To determine the optimal cut-off value for GNRI, receiver operating characteristic (ROC) curve was constructed, and the patients were divi ded into high and low GNRI groups. Kaplan-Meier curve and Log-rank test were used to compare overall survival (OS) of the two groups. Univariate and multivariate Cox regression was used to analyze the risk factors for poor prognosis in elderly patients with NSCLC. Nomogram predicting survival in eld erly patients with NSCLC was constructed and validated by using R software. Results Statistically significant differences in age, gender, body mass index (BMI), histological type, albumin, treatment methods, neutrophil to lymphocyte ratio (NLR), prognostic nutritional index (PNI), systemic immune-in flammation index (SII) and cytokeratin 19 fragment (CYFRA21-1) were observed between the high and low GNRI groups (P3.3 ng/mL was an ind...
Source: Chinese Journal of Lung Cancer - Category: Cancer & Oncology Source Type: research