ArticleJournal of translational medicine2023
Establishment and application of the BRP prognosis model for idiopathic pulmonary fibrosis.
Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Multi-omics insights into the mechanisms and prognosis of IPF.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2026Review
- A Nomogram Model for Early Mortality Risk Stratification in Elderly Patients with Idiopathic Pulmonary Fibrosis: An Integrative Analysis of Serum Biomarkers and Pulmonary Function Parameters.Journal of clinical medicine · 2026Article
- Lung ultrasound as a diagnostic tool for pulmonary consolidation and atelectasis after cardiac surgery.Journal of thoracic disease · 2025Article
- Retrospective cohort analysis on predicting pulmonary fibrosis in elderly SARS-CoV-2-infected patients.Frontiers in cellular and infection microbiology · 2025Article
- Emerging roles of noncoding RNAs in idiopathic pulmonary fibrosis.Cell death discovery · 2024Review
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdiopathic pulmonary fibrosis (IPF) is the most common idiopathic interstitial lung disease. Clinical models to accurately evaluate the prognosis of IPF are currently lacking. This study aimed to construct an easy-to-use and robust prediction model for transplant-free survival (TFS) of IPF based on clinical and radiological information.
methodsA multicenter prognostic study was conducted involving 166 IPF patients who were followed up for 3 years. The end point of follow-up was death or lung transplantation. Clinical information, lung function tests, and chest computed tomography (CT) scans were collected. Body composition quantification on CT was performed using 3D Slicer software. Risk factors in blood routine examination-radiology-pulmonary function (BRP) were identified by Cox regression and utilized to construct the "BRP Prognosis Model". The performance of the BRP model and the gender-age-physiology variables (GAP) model was compared using time-ROC curves, calibration curves, and decision curve analysis (DCA). Furthermore, histopathology fibrosis scores in clinical specimens were compared between the different risk stratifications identified by the BRP model. The correlations among body composition, lung function, serum inflammatory factors, and profibrotic factors were analyzed.
resultsNeutrophil percentage > 68.3%, pericardial adipose tissue (PAT) > 94.91 cm
conclusionsIn this study, the BRP prognostic model of IPF was successfully constructed and validated. Compared with the commonly used GAP model, the BRP model had better performance and generalization with easily obtainable indicators. The BRP model is suitable for clinical promotion.
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