Prediction of Pediatric Critical Care Resource Utilization for Disaster Triage

• 2020

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• Elizabeth Killian; Brianna Mills; Nicole Errett; Vicki Sakata; Monica Vavilala; Frederick Rivara
PMID: 32345932DOI: https://doi.org/10.1097%2FPCC.0000000000002425

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This study, conducted at Seattle Children’s Hospital in Washington State, aimed to predict the duration of critical care resource use for pediatric patients using illness severity scores. It found that the Pediatric Logistic Organ Dysfunction score calculated 12 hours post-admission was the most accurate predictor. The models developed had high predictive accuracy for the need for pediatric intensive care unit (PICU) resources and duration of mechanical ventilation within 7 days of admission. These findings suggest that incorporating such models into pediatric disaster triage algorithms could improve resource allocation decision-making.

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Tags

Hazards: Everyday Emergency; Natural Disasters

Audiences: Emergency Managers; Physicians; Public Health Professionals

Emergency Management Stage: Mitigation

Collection: Disaster Research Literature Review

Keywords: Algorithms; Disasters; Hospitals, Pediatric; Intensive Care Units, Pediatric; Triage; Resource Allocation; Organ Dysfunction Scores

Institutions: University of Washington; Northwest Healthcare Response Network; Mary Bridge Children’s Hospital

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