Cargando…
1362. Pediatric long COVID subphenotypes: an EHR-based study from the RECOVER program
BACKGROUND: Post-acute sequelae of COVID-19 (PASC, or long COVID) has been associated with a wide variety of symptoms, conditions, and body systems; presentation in children has been particularly heterogeneous and it is important that studies of PASC distinguish among clinical presentations, or subp...
Autores principales: | Lorman, Vitaly, Song, Xing, Rao, Suchitra, Allen, Andrea J, Utidjian, Levon, Charles Bailey, L |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678420/ http://dx.doi.org/10.1093/ofid/ofad500.1199 |
Ejemplares similares
-
457. Temporal Evolution of Subphenotypes of Pediatric PASC: An EHR-Based Retrospective Cohort Study from the RECOVER Program
por: Allen, Andrea J, et al.
Publicado: (2023) -
A machine learning-based phenotype for long COVID in children: an EHR-based study from the RECOVER program
por: Lorman, Vitaly, et al.
Publicado: (2022) -
A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program
por: Lorman, Vitaly, et al.
Publicado: (2023) -
Understanding pediatric long COVID using a tree-based scan statistic approach: an EHR-based cohort study from the RECOVER Program
por: Lorman, Vitaly, et al.
Publicado: (2023) -
Spectrum of severity of multisystem inflammatory syndrome in children: an EHR-based cohort study from the RECOVER program
por: Rao, Suchitra, et al.
Publicado: (2023)