Cardiac findings in multisystem inflammatory syndrome in children: Short term follow up in a large Indian series.

Background: We present a large Indian series of Multisystem inflammatory syndrome in children (MIS-C) associated with coronavirus disease 2019 (COVID-19) infection. The aim of the study is to present the incidence and pattern of cardiac involvement in children with MIS-C and their short-term follow-up. Methods and Results: Consecutive 144 children younger than 18 years of age diagnosed with MIS-C referred for cardiac evaluation between June 1 and November 30, 2021, were included and were followed up till February 2022. In addition to the demographics, details of COVID-19 infection, and biomarkers, their cardiovascular assessment (echocardiogram and electrocardiogram) was documented at baseline and on follow-up. The median age of children with MIS-C was 60 (24-104) months. Abnormal cardiac imaging was noted in 59% of children. Ventricular dysfunction was noted in 13.9% and coronary abnormalities were noted in 25.7% of children. The median duration when the first cardiac abnormality was reported was 7 (5-10) days. The distribution of age categories between children with and without cardiac abnormality was comparable. Children with cardiac abnormalities were followed up for a median duration of 47 (30-58) days. Complete resolution was documented in 92% of children after a median duration of 20 (9-38) days. There were no readmissions or deaths during follow-up. Conclusion: Cardiac involvement in children with MIS-C is frequent with coronary abnormalities and ventricular dysfunction being the most common manifestations. Most children exhibit complete clinical and myocardial recovery with appropriate anti-inflammatory therapy. Studies on long-term outcome of these children are needed.

Hyperinflammatory Syndrome in Children Associated With COVID-19: Need for Awareness.

The pandemic of COVID-19 initially appeared to cause only a mild illness in children. However, it is now apparent that a small percentage of children can develop a hyperinflammatory syndrome labeled as Pediatric inflammatory multisystem syndrome - temporally associated with SARS-CoV-2 (PIMS-TS). Features of this newly recognized condition may include persistent fever, evidence of inflammation, and single or multi-organ dysfunction in the absence of other known infections. Some of these children may share features of Kawasaki disease, toxic shock syndrome or cytokine storm syndrome. They can deteriorate rapidly and may need intensive care support as well. The PCR test is more often negative; although, most of the children have antibodies to SARS-CoV-2. Although the pathogenesis is not clearly known, immune-mediated injury has been implicated. We herein provide current information on this condition, in order to raise awareness amongst pediatricians.

Artificial intelligence for interpretation of segments of whole body MRI in CNO: pilot study comparing radiologists versus machine learning algorithm.

BACKGROUND: To initiate the development of a machine learning algorithm capable of comparing segments of pre and post pamidronate whole body MRI scans to assess treatment response and to compare the results of this algorithm with the analysis of a panel of paediatric radiologists. METHODS: Whole body MRI of patients under the age of 16 diagnosed with CNO and treated with pamidronate at a tertiary referral paediatric hospital in United Kingdom between 2005 and 2017 were reviewed. Pre and post pamidronate images of the commonest sites of involvement (distal femur and proximal tibia) were manually selected (n = 45). A machine learning algorithm was developed and tested to assess treatment effectiveness by comparing pre and post pamidronate scans. The results of this algorithm were compared with the results of a panel of radiologists (ground truth). RESULTS: When tested initially the machine algorithm predicted 4/7 (57.1%) examples correctly in the multi class model, and 5/7 (71.4%) correctly in the binary group. However when compared to the ground truth, the machine model was able to classify only 33.3% of the samples correctly but had a sensitivity of 100% in detecting improvement or worsening of disease. CONCLUSION: The machine learning could detect new lesions or resolution of a lesion with good sensitivity but failed to classify stable disease accurately. However, further validation on larger datasets are required to improve the specificity and accuracy of the machine model.

Chronic non bacterial osteitis- a multicentre study.

OBJECTIVE: To understand the demographics, clinical features and treatment outcomes of Chronic Non-bacterial Osteitis (CNO) from three tertiary paediatric rheumatology services in the United Kingdom. METHODS: Children less than 18 years of age diagnosed with CNO between 2001 to 2016 from one tertiary service and between 2001 to 2017 from two tertiary services were included. Clinical notes were reviewed and all pertinent data were collected on a pre-defined proforma. One hundred and thirty one patients were included in the study. The Bristol diagnostic criteria were applied retrospectively. RESULTS: Retrospective analysis of the data showed that the disease was more common in girls than boys (2.5:1), median age at onset of symptoms was 9.5 years (IQR 8 to 11 years). Bone pain was the predominant symptom in 118/129 (91.4%) followed by swelling in 50/102 (49.01%). Raised inflammatory markers were present in 39.68% of the patients. Whole body Magnetic Resonance Imaging (MRI) was a useful diagnostic tool. Metaphyses of long bones were most often involved and the distal tibial metaphyses 65/131 (49.6%) was the most common site. Non-steroidal anti-inflammatory drugs were used as first line (81.67%) followed by bisphosphonates (61.79%). Treatment was escalated to a TNF blocker when response to bisphosphonates was suboptimal. The disease was in remission in 82.4% of the patients during the last follow up. CONCLUSION: Our multicentre study describes features and outcomes of CNO in a large number of patients in the United Kingdom. SIGNIFICANCE AND INNOVATION: Raised inflammatory markers were present in 39.68% of our patients. Whole body MRI is useful for diagnosis and also determining response to treatment. A greater number of lesions were detected on radiological imaging compared to clinical assessment. Metaphyses of long bones were most often involved and the distal tibial metaphyses (49.6%) were the most common site. Non-steroidal anti-inflammatory drugs were used as first line (81.67%) followed by bisphosphonates (61.79%). There was no difference in number of medications used for management in unifocal versus multifocal disease. TNF blockers were used with good effect in our cohort.