Timely Resolution of SARS-CoV-2-Related Multi-System Inflammatory Syndrome in Children.
Daniel D ReiffRandy Q CronPublished in: Viruses (2022)
Background : Multisystem inflammatory syndrome in children (MIS-C) is a severe, postinfectious manifestation of coronavirus disease 2019 (COVID-19) in the pediatric population. The disease is manifested by hyperinflammation and can result in cardiac dysfunction, coronary changes, and end-organ damage. Adequate timely treatment can prevent poor outcomes in the short term, but long-term data is lacking. Methods : A large single center MIS-C cohort was followed longitudinally after treatment with intravenous immunoglobulin (IVIG) ± glucocorticoids to determine the natural history of the disease and to describe improvement in laboratory markers and cardiac outcomes. Patient were stratified by disease severity and compared. Results : 137 patients were identified with demographics similar to previously described cohorts. Regardless of disease severity, when adequately treated, initial lab abnormalities rapidly improved by the 6-8 month follow-up period, with some resolved in as little as 1-2 weeks. Similarly, cardiac abnormalities improved quickly after treatment; all abnormalities resolved in this cohort by 1-2 months post-hospitalization. Conclusions : Although MIS-C is a serious sequela of COVID-19, when identified quickly and treated aggressively, laboratory abnormalities, coronary dilatation, and systolic dysfunction rapidly improve with minimal long-term morbidity or mortality.
Keyphrases
- coronavirus disease
- sars cov
- oxidative stress
- left ventricular
- respiratory syndrome coronavirus
- newly diagnosed
- coronary artery disease
- case report
- coronary artery
- end stage renal disease
- young adults
- ejection fraction
- aortic stenosis
- heart failure
- blood pressure
- prognostic factors
- chronic kidney disease
- peritoneal dialysis
- electronic health record
- type diabetes
- high dose
- big data
- early onset
- low dose
- cardiovascular disease
- combination therapy
- skeletal muscle
- artificial intelligence
- machine learning
- data analysis