A multidimensional classifier to support lung transplant referral in patients with pulmonary fibrosis.

ABSTRACT:

Background

Lung transplantation remains the sole curative option for patients with idiopathic pulmonary fibrosis (IPF), but donor organs remain scarce, and many eligible patients die before transplant. Tools to optimize the timing of transplant referrals are urgently needed.

Methods

Least absolute shrinkage and selection operator was applied to clinical and proteomic data generated as part of a prospective cohort study of interstitial lung disease (ILD) to derive clinical, proteomic, and multidimensional logit models of near-term death or lung transplant within 18 months of blood draw. Model-fitted values were dichotomized at the point of maximal sensitivity and specificity, and decision curve analysis was used to select the best-performing classifier. We then applied this c

SUBMITTER: Pugashetti JV 

PROVIDER: S-EPMC11451110 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature