Phenotypic Classification of Multisystem Inflammatory Syndrome in Children Using Latent Class Analysis.

ABSTRACT:

Importance

Multisystem inflammatory syndrome in children (MIS-C) is an uncommon but severe hyperinflammatory illness that occurs 2 to 6 weeks after SARS-CoV-2 infection. Presentation overlaps with other conditions, and risk factors for severity differ by patient. Characterizing patterns of MIS-C presentation can guide efforts to reduce misclassification, categorize phenotypes, and identify patients at risk for severe outcomes.

Objective

To characterize phenotypic clusters of MIS-C and identify clusters with increased clinical severity.

Design, setting, and participants

In this cohort study, MIS-C phenotypic clusters were inferred using latent class analysis applied to the largest cohort to date of cases from US national surveillance data from 55 US public health juris

SUBMITTER: Ma KC 

PROVIDER: S-EPMC11775748 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature