Spectrum of Severity of Multisystem Inflammatory Syndrome in Children: An EHR-based Cohort Study from the RECOVER program
| dc.contributor | National Institutes of Health |
| dc.contributor.author | Suchitra Rao |
| dc.contributor.author | Chen, Yong |
| dc.contributor.other | Hospital of the University of Pennsylvania |
| dc.date.accessioned | 2024-11-18T21:07:17Z |
| dc.description | 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. |
| dc.description.abstract | Study to characterize the illness spectrum of MIS-C for improved recognition and management. |
| dc.identifier.uri | https://pedsnet.org/metadata/handle/20.500.14642/897 |
| dc.publisher | PEDSnet |
| dc.relation.isreferencedby | Rao, S., Jing, N., Liu, X. et al. 2023. "Spectrum of severity of multisystem inflammatory syndrome in children: an EHR-based cohort study from the RECOVER program." _Scientific Reports_. 13, 21005 (2023). <br>DOI:[10.1038/s41598-023-47655-y](doi.org/10.1038/s41598-023-47655-y) |
| dc.rights | a CC-BY 4.0 Attribution license. |
| dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/ |
| dc.subject | PEDSnet Study |
| dc.subject | Retrospective Study |
| dc.subject.mesh | COVID-19 |
| dc.subject.mesh | SARS-CoV-2 |
| dc.subject.mesh | Coronavirus Infections |
| dc.subject.mesh | Pneumonia, Viral |
| dc.title | Spectrum of Severity of Multisystem Inflammatory Syndrome in Children: An EHR-based Cohort Study from the RECOVER program |
| dc.title.alternative | A Y1 Q3 RECOVER program deliverable. Formerly Titled "Pediatric Nirmatrelvir/Ritonavir Prescribing Patterns During the COVID-19 Pandemic" |
| dspace.entity.type | Study |
| local.admin.note | National Institutes of Health (NIH) Agreement OT2HL161847-01 as part of the Researching COVID to Enhance Recovery (RECOVER) program of research. |
| local.subject.flat | PEDSnet Data Source |
| local.subject.flat | Retrospective Study |
| local.subject.flat | Cohort Study |
| local.subject.flat | Federally Funded Research |
| project.startDate | 2023 |
| relation.isStudyOfStudy | 4932bc8c-1f72-44ad-aeeb-b7922e38fad3 |
| relation.isStudyOfStudy.latestForDiscovery | 4932bc8c-1f72-44ad-aeeb-b7922e38fad3 |