Cardiac implications of multisystem inflammatory syndrome associated with COVID-19 in children under the age of 5 years.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is responsible for significant lung disease in adults. Despite mild manifestations in most children, multisystem inflammatory syndrome (MIS-C) associated with COVID-19 is well described in older children with cardiac manifestations. However, MIS-C-related cardiac manifestations are not as well described in younger children. METHODS: The study is a retrospective analysis of MIS-C patients under the age of 5 years admitted between May and November 2020 to a single centre. Included cases fulfilled the case definition of MIS-C according to Royal College of Pediatrics and Child Health criteria with laboratory, electrocardiogram, or echocardiographic evidence of cardiac disease. Collected data included patients' demographics, laboratory results, echocardiographic findings, management, and outcomes. RESULTS: Out of 16 MIS-C cases under 5 years of age, 10 (62.5%) had cardiac manifestations with a median age of 12 months, 9 (90%) were previously healthy. Cardiac manifestations included coronary arterial aneurysms or ectasia in five (50%) cases, two (20%) with isolated myopericarditis, coronary ectasia with myocarditis in two (20%), and supraventricular tachycardia in one (10%). Intravenous immunoglobulins were given in all cases with coronary involvement or myocarditis. The median duration of hospitalisation was 7 (6-14) days; two (20%) cases with cardiac disease were mechanically ventilated and mortality in MIS-C cases below 5 years was 12.5%. Normalisation of systolic function occurred in half of the affected cases within 1 week and reached 100% by 30 days of follow-up. CONCLUSIONS: MIS-C associated with SARS-CoV-2 has a high possibility of serious associated cardiac manifestations in children under the age of 5 years with mortality and/or long-term morbidities such as coronary aneurysms even in previously healthy children.

The RSNA International COVID-19 Open Radiology Database (RICORD).

The coronavirus disease 2019 (COVID-19) pandemic is a global health care emergency. Although reverse-transcription polymerase chain reaction testing is the reference standard method to identify patients with COVID-19 infection, chest radiography and CT play a vital role in the detection and management of these patients. Prediction models for COVID-19 imaging are rapidly being developed to support medical decision making. However, inadequate availability of a diverse annotated data set has limited the performance and generalizability of existing models. To address this unmet need, the RSNA and Society of Thoracic Radiology collaborated to develop the RSNA International COVID-19 Open Radiology Database (RICORD). This database is the first multi-institutional, multinational, expert-annotated COVID-19 imaging data set. It is made freely available to the machine learning community as a research and educational resource for COVID-19 chest imaging. Pixel-level volumetric segmentation with clinical annotations was performed by thoracic radiology subspecialists for all COVID-19-positive thoracic CT scans. The labeling schema was coordinated with other international consensus panels and COVID-19 data annotation efforts, the European Society of Medical Imaging Informatics, the American College of Radiology, and the American Association of Physicists in Medicine. Study-level COVID-19 classification labels for chest radiographs were annotated by three radiologists, with majority vote adjudication by board-certified radiologists. RICORD consists of 240 thoracic CT scans and 1000 chest radiographs contributed from four international sites. It is anticipated that RICORD will ideally lead to prediction models that can demonstrate sustained performance across populations and health care systems.