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ABSTRACT: Background
Accurate staging systems are essential for assessing the severity of idiopathic pulmonary fibrosis (IPF) and guiding clinical management. This study aimed to evaluate the prognostic value of pulmonary comorbidities and body mass index (BMI) in IPF, develop a nomogram predicting overall survival (OS), and create a nomogram-based survival prediction model.Methods
Patients with IPF were identified from electronic medical records of the West Virginia hospital system. Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analysis was used for variable selection, and a nomogram was constructed. Risk groups were defined based on the nomogram's probability tertiles. The performance of the nomogram-based model was evaluated using Harrell's concordance ind
SUBMITTER: Mohamed R
PROVIDER: S-EPMC11809524 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature