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ABSTRACT: Introduction
Long-term pulmonary dysfunction (L-TPD) is one of the most critical manifestations of long-COVID. This lung affection has been associated with disease severity during the acute phase and the presence of previous comorbidities, however, the clinical manifestations, the concomitant consequences and the molecular pathways supporting this clinical condition remain unknown. The aim of this study was to identify and characterize L-TPD in patients with long-COVID and elucidate the main pathways and long-term consequences attributed to this condition by analyzing clinical parameters and functional tests supported by machine learning and serum proteome profiling.Methods
Patients with L-TPD were classified according to the results of their computer-tomography (CT) scan a
SUBMITTER: Sanhueza S
PROVIDER: S-EPMC10590130 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature