Clustering analysis reveals different profiles associating long-term post-COVID symptoms, COVID-19 symptoms at hospital admission and previous medical co-morbidities in previously hospitalized COVID-19 survivors

PURPOSE: To identify subgroups of COVID-19 survivors exhibiting long-term post-COVID symptoms according to clinical/hospitalization data by using cluster analysis in order to foresee the illness progress and facilitate subsequent prognosis. METHODS: Age, gender, height, weight, pre-existing medical...

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Detalles Bibliográficos
Autores principales: Fernández-de-las-Peñas, César, Martín-Guerrero, José D., Florencio, Lidiane L., Navarro-Pardo, Esperanza, Rodríguez-Jiménez, Jorge, Torres-Macho, Juan, Pellicer-Valero, Oscar J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028890/
https://www.ncbi.nlm.nih.gov/pubmed/35451721
http://dx.doi.org/10.1007/s15010-022-01822-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028890/
https://www.ncbi.nlm.nih.gov/pubmed/35451721
http://dx.doi.org/10.1007/s15010-022-01822-x

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