Scientific Reports (Nov 2023)

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

  • Suchitra Rao,
  • Naimin Jing,
  • Xiaokang Liu,
  • Vitaly Lorman,
  • Mitchell Maltenfort,
  • Julia Schuchard,
  • Qiong Wu,
  • Jiayi Tong,
  • Hanieh Razzaghi,
  • Asuncion Mejias,
  • Grace M. Lee,
  • Nathan M. Pajor,
  • Grant S. Schulert,
  • Deepika Thacker,
  • Ravi Jhaveri,
  • Dimitri A. Christakis,
  • L. Charles Bailey,
  • Christopher B. Forrest,
  • Yong Chen

DOI
https://doi.org/10.1038/s41598-023-47655-y
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

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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.