Swallowing impairment and aspiration risk in clinically stabilized patients hospitalized for acute respiratory events: a cohort-wide machine-learning analysis with COPD-specific insights

ObjectivesTo characterize swallowing impairment and aspiration risk in patients recovering from acute respiratory events and to identify clinical, functional, and anatomical predictors of airway invasion with a specific focus on Chronic Obstructive Pulmonary Disease (COPD) subgroup.MethodsIn this re...

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Hlavní autoři:	Anna Annunziata, Anna Michela Gaeta, Francesca Simioli, Tullio Valente, Antonietta Coppola, Maria Cardone, Raffaella Manzo, Michele Cutino, Antonella Marotta, Giuseppe Fiorentino
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2026-05-01
Edice:	Frontiers in Medicine
Témata:	airway invasion chronic obstructive pulmonary disease machine learning–assisted risk assessment oropharyngeal dysphagia post-acute respiratory care silent aspiration
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fmed.2026.1804250/full
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