Development of a Predictive Model for Cardiac Dysfunction in MIS-C Patients Utilizing Laboratory Biomarkers
This model identified widely available biomarkers to successfully predict systolic dysfunction in MIS-C patients. Those at high risk of systolic dysfunction had higher peak laboratory values for C-reactive protein, fibrinogen, and procalcitonin early on. A regularized logistic regression model was validated to provide excellent discrimination for LVSD.
Authors
- Risa Bochner
- Steve Rust (ORCID: https://orcid.org/0000-0001-8492-7337)
- Erin Aldag
- Nathan M. Money (ORCID: https://orcid.org/0000-0001-8529-691X)
- Roshini S. Abraham (ORCID: https://orcid.org/0000-0001-8109-8502)
- Jun Yasuhara (ORCID: https://orcid.org/0000-0002-7937-3699)
- Guliz Erdem
- Jennifer Y. Colgan
- Brent Merryman
- Allayne Stephans
- Brendan Galdo
- Simon Lee (ORCID: https://orcid.org/0000-0002-3378-9605)
- Ron L. Kaplan
- Diego Cruz Vidal
- Thomas Graf
Institutions
- Nationwide Children's Hospital (US)
- Royal Children's Hospital (AU)
- Primary Children's Hospital (US)
- Harlem Hospital Center (US)
- Seattle Children's Hospital (US)
- Lurie Children's Hospital (US)
- Rainbow Babies & Children's Hospital (US)
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University
Publication Details
- Journal
- Children
- Published
- 2026-02-01
- DOI
- https://doi.org/10.3390/children13020216
- Primary Topic
- Kawasaki Disease and Coronary Complications
- Type
- article
- Field-Weighted Citation Impact
- 0.00