Background: Multisystem inflammatory syndrome (MIS-C) represents a diagnostic challenge because of its overlap with Kawasaki disease, Kawasaki disease shock syndrome, and toxic shock syndrome. Macrophage activation syndrome (MAS) is a frequently fatal complication of various pediatric inflammatory disorders and has been reported in MIS-C. Early diagnosis and prompt initiation by immune modulating therapies are essential for effectively managing MAS.
Methods: We conducted a retrospective study to determine the frequency, natural history, diagnostic metrics, treatment, and outcome of MAS in MIS-C within a large cohort of patients across 84 Latin American centers in 16 countries. We compared the clinical and laboratory characteristics between patients with and without MAS.
Results: Among 1238 patients with MIS-C, 212 (17.1%) fulfilled MAS criteria. Gastrointestinal and neurologic manifestations were more frequent in cases where MIS-C was complicated by MAS. Patients presenting with MIS-C complicated by MAS had a mortality rate of 12%, which was higher than those without it. Mortality was associated with MAS, seizures, arthritis, and shock. A ferritin or erythrocyte sedimentation rate ratio of >18.7 exhibited a sensitivity of 88.2% and a specificity of 75% in diagnosing MAS in MIS-C.
Conclusions: MAS in MIS-C patients is associated with increased morbidity and mortality rates in the largest MIS-C Latin American cohort. Early recognition and appropriate management are crucial in improving patient outcomes and reducing mortality rates.
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http://dx.doi.org/10.1542/peds.2024-066780 | DOI Listing |
J Korean Med Sci
January 2025
School of Pharmacy, Sungkyunkwan University, Suwon, Korea.
Background: Rare cases of Kawasaki disease (KD) and multisystem inflammatory syndrome in children (MIS-C) have been reported following the coronavirus disease 2019 (COVID-19) vaccination; however, the association between COVID-19 vaccination and the risk of developing KD/MIS-C has not yet been established.
Methods: We conducted a self-controlled case series analysis using a large-linked database that connects the COVID-19 immunization registry with nationwide claims data. We identified individuals aged < 18 years who received their initial COVID-19 vaccination and had a KD/MIS-C diagnosis with a prescription for intravenous immunoglobulin or corticosteroids between October 18, 2021, and April 15, 2023.
Microbiol Immunol
January 2025
Department of Neurovirology, NIMHANS, Bangalore, India.
COVID-19 severely impacts children in India, with many developing severe pneumonia or multisystem inflammatory syndrome (MIS-C). Concurrently, non-COVID-19 respiratory viruses causing community-acquired pneumonia (CAP) have resurged. These conditions present similarly, challenging accurate diagnosis.
View Article and Find Full Text PDFJAMA Pediatr
January 2025
Department of Cardiology, Harvard Medical School and Boston Children's Hospital, Boston, Massachusetts.
Importance: Multisystem inflammatory syndrome in children (MIS-C) is a life-threatening complication of COVID-19 infection. Data on midterm outcomes are limited.
Objective: To characterize the frequency and time course of cardiac dysfunction (left ventricular ejection fraction [LVEF] <55%), coronary artery aneurysms (z score ≥2.
Biomedicines
December 2024
Hospital Pediatrics, Saint Petersburg State Pediatric Medical University, Saint Petersburg 194100, Russia.
Macrophage activation syndrome (MAS) can be regarded as a key factor determining the severity of multisystem inflammatory syndrome associated with COVID-19 in children (MIS-C), and often requires treatment in the intensive care unit (ICU) to avoid life-threatening complications. No reputable specific criteria for the diagnosis of MAS in MIS-C patients have yet been identified, and criteria currently used for the diagnosis of hemophagocytic syndromes, such as HLH-2004, MAS-2005, and MAS-2016, are not sufficient for MAS in MIS-C. Our goal in this study was to work out the criteria for the early diagnosis of MAS in MIS-C.
View Article and Find Full Text PDFJ Infect Dis
January 2025
Computational Biomedicine Lab, Department of Computer Science, University of Houston; Houston, TX 77204, USA.
Background: The pandemic emergent disease multisystem inflammatory syndrome in children (MIS-C) following coronavirus disease-19 infection can mimic endemic typhus. We aimed to use artificial intelligence (AI) to develop a clinical decision support system that accurately distinguishes MIS-C versus Endemic Typhus (MET).
Methods: Demographic, clinical, and laboratory features rapidly available following presentation were extracted for 133 patients with MIS-C and 87 patients hospitalized due to typhus.
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