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

Author:

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

Abstract

AbstractMulti-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.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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