Selected article for: "exact mechanism and high level"

Author: Waseem, Muhammad; Shariff, Masood A.; Tay, Ee Tein; Mortel, David; Savadkar, Shivraj; Lee, Horton; Kondamudi, Noah; Liang, Tian
Title: Multisystem Inflammatory Syndrome in Children
  • Cord-id: oqdjfi4n
  • Document date: 2021_9_17
  • ID: oqdjfi4n
    Snippet: BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a newly recognized condition affecting children with recent infection or exposure to coronavirus disease 2019 (COVID-19). MIS-C has symptoms that affect multiple organs systems, with some clinical features resembling Kawasaki disease (KD) and toxic shock syndrome (TSS). OBJECTIVE OF THE REVIEW: Our goal was to review the current literature and describe the evaluation and treatment algorithms for children suspected of having MIS
    Document: BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a newly recognized condition affecting children with recent infection or exposure to coronavirus disease 2019 (COVID-19). MIS-C has symptoms that affect multiple organs systems, with some clinical features resembling Kawasaki disease (KD) and toxic shock syndrome (TSS). OBJECTIVE OF THE REVIEW: Our goal was to review the current literature and describe the evaluation and treatment algorithms for children suspected of having MIS-C who present to the emergency department. DISCUSSION: MIS-C has a wide clinical spectrum and diagnosis is based on a combination of both clinical and laboratory findings. The exact mechanism of immune dysregulation of MIS-C is not well understood. Physical findings may evolve and do not necessarily appear at the same time. Gastrointestinal, cardiac, inflammatory, and coagulopathy manifestations and dysfunction are seen frequently in MIS-C. CONCLUSIONS: The diagnosis of MIS-C is based on clinical presentation and specific laboratory findings. In the emergency setting, a high level of suspicion for MIS-C is required in patients exposed to COVID-19. Early diagnosis and prompt initiation of therapy offer the best chance for optimal outcomes.

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