Mapping EQ5D utilities from forced vital capacity and diffusing capacity in fibrotic interstitial lung disease.

Alyson W WongHuiying SunIngrid A CoxJolene H FisherNasreen KhalilKerri A JohannsonVeronica MarcouxDeborah AssayagHelene ManganasMartin KolbAndrew J PalmerBarbara de GraaffE Haydn WaltersPeter HopkinsChristopher ZappalaNicole S GohYuben MoodleyVidya NavaratnamTamera J CorteChristopher J RyersonWei Zhang

Published in: PloS one (2023)

We developed a mapping algorithm that predicts EQ5D utilities from FVC and DLCO, with the intent that this algorithm can be applied to clinical trial populations and real-world cohorts that have not prioritized collection of health-related utilities. The mapping algorithm can be used in future economic evaluations of potential ILD therapies.

Keyphrases

neural network
interstitial lung disease
systemic sclerosis
high resolution
idiopathic pulmonary fibrosis
clinical trial
rheumatoid arthritis
high density
machine learning
deep learning
mass spectrometry
open label
study protocol
randomized controlled trial
genetic diversity