ArticleBioengineering (Basel, Switzerland)2023
Machine Learning and BMI Improve the Prognostic Value of GAP Index in Treated IPF Patients.
Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Construction and validation of an acute exacerbation risk score for fibrotic idiopathic interstitial pneumonia.Journal of thoracic disease · 2026Article
- Gender Differences Are a Leading Factor in 5-Year Survival of Patients with Idiopathic Pulmonary Fibrosis over Antifibrotic Therapy Reduction.Life (Basel, Switzerland) · 2025Article
- Development of a local nomogram-based scoring system for predicting overall survival in idiopathic pulmonary fibrosis: A rural appalachian experience.Medicine advances · 2024Article
- Rectus Femoris Cross-Sectional Area and Phase Angle asPredictors of 12-Month Mortality in Idiopathic Pulmonary Fibrosis Patients.Nutrients · 2023Article
- Prognostic Value of Serum Biomarkers in Patients with Idiopathic Pulmonary Fibrosis in Relation to Disease Progression.Journal of personalized medicine · 2023Article
- Beyond Visual Interpretation: Quantitative Analysis and Artificial Intelligence in Interstitial Lung Disease Diagnosis "Expanding Horizons in Radiology".Diagnostics (Basel, Switzerland) · 2023Review
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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
Patients affected by idiopathic pulmonary fibrosis (IPF) have a high mortality rate in the first 2-5 years from diagnosis. It is therefore necessary to identify a prognostic indicator that can guide the care process. The Gender-Age-Physiology (GAP) index and staging system is an easy-to-calculate prediction tool, widely validated, and largely used in clinical practice to estimate the risk of mortality of IPF patients at 1-3 years. In our study, we analyzed the GAP index through machine learning to assess any improvement in its predictive power in a large cohort of IPF patients treated either with pirfenidone or nintedanib. In addition, we evaluated this event through the integration of additional parameters. As previously reported by Y. Suzuki et al., our data show that inclusion of body mass index (BMI) is the best strategy to reinforce the GAP performance in IPF patients under treatment with currently available anti-fibrotic drugs.
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