Prognostic Factors and Construction of Nomogram Prediction Model of Lung Cancer Patients Using Clinical and Blood Laboratory Parameters

This work aimed to explore the prognostic risk factors of lung cancer (LC) patients and establish a line chart prediction model. A total of 322 LC patients were taken as the study subjects. They were randomly divided into a training set (n = 202) and a validation set (n = 120). Basic information and laboratory indicators were collected, and the progression-free survival (PFS) and overall survival (OS) were followed up. Single-factor and cyclooxygenase (COX) multivariate analyses were performed on the training set to construct a Nomogram prediction model, which was validated with 120 patients in the validation set, and Harrell's consistency was analyzed. Single-factor analysis revealed significant differences in PFS ( 1.6 are independent risk factors affecting the survival of LC patients. The PFS line chart model demonstrates good concordance.