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Incidence and Prevalence of Multisystem Inflammatory Syndrome in Children (MIS-C) in Southern Italy †

Multisystem inflammatory syndrome in children (MIS-C) is a pediatric hyperinflammatory syndrome related to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection whose epidemiology is not very well known at present. The objective of the study was to better understand the incidence of...

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Detalles Bibliográficos
Autores principales: La Torre, Francesco, Elicio, Maria Pia, Monno, Viviana Anna, Chironna, Maria, Moramarco, Fulvio, Campanozzi, Angelo, Civino, Adele, Cecinati, Valerio, Vairo, Ugo, Giordano, Mario, Milella, Leonardo, Loconsole, Daniela, Cardinale, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217079/
https://www.ncbi.nlm.nih.gov/pubmed/37238314
http://dx.doi.org/10.3390/children10050766
Descripción
Sumario:Multisystem inflammatory syndrome in children (MIS-C) is a pediatric hyperinflammatory syndrome related to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection whose epidemiology is not very well known at present. The objective of the study was to better understand the incidence of MIS-C in the Apulia region in southern Italy. Our primary goal was to estimate the incidence of newly identified cases of MIS-C in children aged 0–18 years, during a period of six months, encompassing the second pandemic wave. We also analyzed the characteristics of our cohort in terms of clinical features, treatment, and outcomes. The cumulative incidence of MIS-C was 3.27 per 100,000 residents between 0 and 18 years of age. In our cohort, gastrointestinal, mucocutaneous, and cardiac involvement were the most common clinical features. With our step-up approach to therapy, no patients required intensive care unit (ICU) admission and no cardiac sequelae after 6 months of onset were found in echocardiograms. Conclusion: Our epidemiological study of MIS-C in southern Italy showed unexpectedly overlapping figures with other US studies.