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Differentiating multisystem inflammatory syndrome in children: a single-centre retrospective cohort study

Jordan E. Roberts, Jeffrey I. Campbell, Kimberlee Gauvreau, Gabriella S Lamb, Jane W. Newburger, Mary Beth F. Son, Audrey Dionne

2021Archives of Disease in Childhood50 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: Features of multisystem inflammatory syndrome in children (MIS-C) overlap with other febrile illnesses, hindering prompt and accurate diagnosis. The objectives of this study were to identify clinical and laboratory findings that distinguished MIS-C from febrile illnesses in which MIS-C was considered but ultimately excluded, and to examine the diseases that most often mimicked MIS-C in a tertiary medical centre. STUDY DESIGN: We identified all children hospitalised with fever who were evaluated for MIS-C at our centre and compared clinical signs and symptoms, SARS-CoV-2 status and laboratory studies between those with and without MIS-C. Multivariable logistic LASSO (least absolute shrinkage and selection operator) regression was used to identify the most discriminative presenting features of MIS-C. RESULTS: patients had similar elevations in C-reactive protein (CRP), but were differentiated by thrombocytopenia, lymphopenia, and elevated ferritin, neutrophil/lymphocyte ratio, BNP and troponin. In multivariable analysis, predictors of MIS-C included age, neutrophil/lymphocyte ratio, platelets, conjunctivitis, oral mucosa changes, abdominal pain and hypotension. CONCLUSIONS: Among hospitalised children undergoing evaluation for MIS-C, children with MIS-C were older, more likely to present with conjunctivitis, oral mucosa changes, abdominal pain and hypotension, and had higher neutrophil/lymphocyte ratios and lower platelet counts. These data may be helpful for discrimination of MIS-C from other febrile illnesses, including bacterial lymphadenitis and acute viral infection, with overlapping features.

Topics & Concepts

MedicineAbsolute neutrophil countAbdominal painInternal medicineRetrospective cohort studyCohortLogistic regressionToxicityNeutropeniaKawasaki Disease and Coronary ComplicationsAutoimmune and Inflammatory Disorders ResearchRespiratory viral infections research
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