The prognostic value and model construction of inflammatory markers for patients with non-small cell lung cancer

The aim of this study was to investigate and analyse the predictive value of systemic inflammatory markers based on peripheral blood biomarkers for the prognosis of non-small cell lung cancer (NSCLC) patients. Based on a retrospective monitoring cohort of 973 NSCLC patients from an Affiliated Tumor Hospital from 2012 to 2023. The log-rank test and Cox proportional risk regression model were used to identify independent prognostic inflammatory markers. Subsequently, a nomogram prediction model was constructed and evaluated. The results of multivariate Cox regression analysis showed that patients with high NLR group ( HR = 1.238, 95% CI 1.015–1.510, P = 0.035), and high CAR group ( HR = 1.729, 95% CI 1.408–2.124, P