ArticleTherapeutic advances in respiratory disease
Development and validation of a multimodal risk prediction model for early COPD progression: a retrospective study integrating clinical, functional, and CT radiomic features.
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Abstract
backgroundEarly identification of rapid progression in patients with preserved ratio but chronic cough remains challenging.
objectiveTo develop and validate an integrated multimodal prediction model that combines clinical phenotypes, small airway function indices, and chest CT quantitative features for stratifying progression risk in individuals with preserved ratio, chronic cough, and early COPD features.
designRetrospective cohort study with external validation.
methodsIn this retrospective cohort study of 408 participants with chronic cough (⩾3 months) and preserved spirometry (FEV
resultsMultivariable analysis confirmed small airway dysfunction and mucus plug burden as independent predictors of accelerated FEV
conclusionWe developed and validated a robust multimodal prediction model that accurately stratifies progression risk in individuals with preserved ratio, chronic cough, and early COPD features. This tool facilitates personalized risk assessment and holds promise for guiding precision management strategies to improve outcomes in this high-risk population.
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