Six clinical phenotypes with prognostic implications were identified by unsupervised machine learning in children and adolescents with SARS-CoV-2 infection: results from a German nationwide registry.

Abstract excerpt

OBJECTIVE: Phenotypes are important for patient classification, disease prognostication, and treatment customization. We aimed to identify distinct clinical phenotypes of children and adolescents hospitalized with SARS-CoV-2 infection, and to evaluate their prognostic differences. METHODS: The German Society of Pediatric Infectious Diseases (DGPI) registry is a nationwide, prospective registry for children and...

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