Screening Multisystem Inflammatory Syndrome in Children: Accuracy of the American College of Rheumatology Screening Algorithm
Authors' conclusion
The ACR MIS-C screening algorithm demonstrates high specificity, high accuracy, and good sensitivity in identifying children with MIS-C at disease onset.
Study context
- Population
- Children with suspected or confirmed multisystem inflammatory syndrome in children (MIS-C), single centre, March 2020 to March 2022 (median age 4.2 years; 58.9% male)
- Participants
- 402 children
- Comparison
- American College of Rheumatology (ACR) MIS-C screening algorithm vs World Health Organization (WHO) and CSTE/CDC case definitions as gold standard
- MIS-Cn = 241
- Febrile controlsn = 161
- Outcome
- Accuracy (sensitivity, specificity) of the ACR algorithm in distinguishing MIS-C from other febrile children
Methodological detailssingle-centre, case-control, retrospective application of algorithm
- Single-centre
- Case-control
- Retrospective application of algorithm
Performance
As reported in the abstract
Accuracy of the ACR MIS-C screening algorithm
| Strategy | Sensitivity | Specificity | Balanced accuracy |
|---|---|---|---|
| ACR algorithm vs WHO case definition | 74.3% | 99.2% | 86.7% |
| ACR algorithm vs CSTE/CDC case definition | 86.2% | 95.8% | 91% |
Sensitivity
ACR algorithm vs WHO case definition74.3%
ACR algorithm vs CSTE/CDC case definition86.2%
Specificity
ACR algorithm vs WHO case definition99.2%
ACR algorithm vs CSTE/CDC case definition95.8%
Balanced accuracy
ACR algorithm vs WHO case definition86.7%
ACR algorithm vs CSTE/CDC case definition91%
Original publication
Screening Multisystem Inflammatory Syndrome in Children: Accuracy of the American College of Rheumatology Screening Algorithm. J Rheumatol. Published 15 September 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →