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✅   Predicting Outcomes using DIGital TechnologY in patients with Interstitial Lung Disease (PRODIGY-ILD): Protocol for a Prospective Cohort Study

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Introduction Interstitial lung disease (ILD) patients may develop a progressive phenotype usually characterised by progressive pulmonary fibrosis. While this condition is life-limiting, wide variations in its clinical course have made it difficult to predict the rate of disease progression, onset of acute exacerbations and mortality. New approaches are needed to predict the clinical course of ILD, to enable treatment planning, evaluation and clinical trial design. Advances in digital health technologies have facilitated the ability to collect ‘real-time’ data to monitor diseases. These data, including physiological measures, activity indices and patient-reported outcomes, may be useful as components of new outcome predictors. The objective of this study is to first deploy comprehensive data collection enabling deep profiling of patients ...

BMJ     Apr 29, 2025