Predicting Intensive Care Utilization for Patients With MIS-C in the Emergency Department

Erin Aldag1, Allayne Stephans2, Doug Lorenz3

  • 1Section of Pediatric Hospital Medicine, Department of Pediatrics, University of Utah School of Medicine, Primary Children's Hospital, Salt Lake City, UT.

PubMed

Insights

Early identification of severe multisystem inflammatory syndrome in children (MIS-C) is crucial. Presenting signs and laboratory results in the emergency department can predict intensive care needs, aiding timely interventions for children with MIS-C.

Area of Science:

  • Pediatric critical care medicine
  • Infectious diseases
  • Inflammatory disorders

Background:

  • Multisystem inflammatory syndrome in children (MIS-C) often requires intensive care.
  • Identifying early indicators of severe MIS-C is essential for prompt management.

Purpose of the Study:

  • To identify risk factors for intensive care unit (ICU) utilization in pediatric patients diagnosed with MIS-C upon emergency department (ED) presentation.
  • To explore factors associated with delayed decompensation in MIS-C patients initially admitted to the medical floor.

Main Methods:

  • Multicenter retrospective cohort analysis of 432 MIS-C patients (aged 6 months to 18 years) from 2020-2022.
  • Electronic health record review for demographics, clinical signs, and laboratory results.
  • Multivariable analysis to determine associations between presenting factors and ICU needs.

Main Results:

  • 190 of 432 MIS-C patients required ICU admission.
  • ED factors associated with increased ICU odds included older age, delayed capillary refill, hypotension, tachypnea, hypoxemia, elevated prothrombin time, BNP, procalcitonin, and ALT.
  • Exploratory analysis identified older age, fever, tachycardia, elevated D-dimer, ANC, and CRP as predictors of ICU transfer from the medical floor.

Conclusions:

  • Presenting clinical and laboratory findings in the ED can identify MIS-C patients at higher risk for initial ICU admission.
  • These indicators may also predict later clinical deterioration, guiding decisions for intensive monitoring or transfer to specialized care centers.
Abstract

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