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Spectrum of severity of multisystem inflammatory syndrome in children: an EHR-based cohort study from the RECOVER program.

Authors :
Rao, Suchitra
Jing, Naimin
Liu, Xiaokang
Lorman, Vitaly
Maltenfort, Mitchell
Schuchard, Julia
Wu, Qiong
Tong, Jiayi
Razzaghi, Hanieh
Mejias, Asuncion
Lee, Grace M.
Pajor, Nathan M.
Schulert, Grant S.
Thacker, Deepika
Jhaveri, Ravi
Christakis, Dimitri A.
Bailey, L. Charles
Forrest, Christopher B.
Chen, Yong
Source :
Scientific Reports. 11/28/2023, Vol. 13 Issue 1, p1-10. 10p.
Publication Year :
2023

Abstract

Multi-system inflammatory syndrome in children (MIS-C) is a severe post-acute sequela of SARS-CoV-2 infection in children, and there is a critical need to unfold its highly heterogeneous disease patterns. Our objective was to characterize the illness spectrum of MIS-C for improved recognition and management. We conducted a retrospective cohort study using data from March 1, 2020–September 30, 2022, in 8 pediatric medical centers from PEDSnet. We included 1139 children hospitalized with MIS-C and used their demographics, symptoms, conditions, laboratory values, and medications for analyses. We applied heterogeneity-adaptive latent class analyses and identified three latent classes. We further characterized the sociodemographic and clinical characteristics of the latent classes and evaluated their temporal patterns. Class 1 (47.9%) represented children with the most severe presentation, with more admission to the ICU, higher inflammatory markers, hypotension/shock/dehydration, cardiac involvement, acute kidney injury and respiratory involvement. Class 2 (23.3%) represented a moderate presentation, with 4–6 organ systems involved, and some overlapping features with acute COVID-19. Class 3 (28.8%) represented a mild presentation. Our results indicated that MIS-C has a spectrum of clinical severity ranging from mild to severe and the proportion of severe or critical MIS-C decreased over time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Volume :
13
Issue :
1
Database :
Academic Search Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
173891908
Full Text :
https://doi.org/10.1038/s41598-023-47655-y