Long-term sequelae of SARS-CoV-2 infection, namely long COVID syndrome, affect about 10% of severe COVID-19 survivors. This condition includes several physical symptoms and objective measures of organ dysfunction resulting from a complex interaction between individual predisposing factors and the acute manifestation of disease. We aimed at describing the complexity of the relationship between long COVID symptoms and their predictors in a population of survivors of hospitalization for severe COVID-19-related pneumonia using a Graphical Chain Model (GCM).
Modelling the long-term health impact of COVID-19 using Graphical Chain Models
Gourgoura, K.Membro del Collaboration Group
;Stanghellini, E.Membro del Collaboration Group
;Bartolucci, F.Membro del Collaboration Group
;Curcio, R.Membro del Collaboration Group
;Ferranti, R.Membro del Collaboration Group
;Folletti, I.Membro del Collaboration Group
;Cavallo, M.Membro del Collaboration Group
;Dominioni, I.Membro del Collaboration Group
;Santoni, E.Membro del Collaboration Group
;Morgana, G.Membro del Collaboration Group
;Pasticci, M. B.Membro del Collaboration Group
;Pucci, G.
Membro del Collaboration Group
;Vaudo, G.Membro del Collaboration Group
2024
Abstract
Long-term sequelae of SARS-CoV-2 infection, namely long COVID syndrome, affect about 10% of severe COVID-19 survivors. This condition includes several physical symptoms and objective measures of organ dysfunction resulting from a complex interaction between individual predisposing factors and the acute manifestation of disease. We aimed at describing the complexity of the relationship between long COVID symptoms and their predictors in a population of survivors of hospitalization for severe COVID-19-related pneumonia using a Graphical Chain Model (GCM).File in questo prodotto:
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