Identifying and Validating Pediatric Hospitalizations for MIS-C Through Administrative Data

Area of Science:

• Pediatric Health Research
• Epidemiology
• Health Informatics

Background:

• Multisystem inflammatory syndrome in children (MIS-C) is a rare condition, making large-scale research challenging for individual children's hospitals.
• Identifying MIS-C patients in administrative databases is difficult, hindering generalizable research efforts.

Conclusions:

• High-sensitivity algorithms are suitable for epidemiological research on MIS-C.
• High-PPV algorithms are valuable for comparative effectiveness studies.
• Accurate identification of MIS-C hospitalizations is essential for understanding and managing this novel pediatric syndrome.