A Retrospective Case-Control Study to Identify Predictors of Unplanned Admission to Pediatric Intensive Care Within 24 Hours of Hospitalization* : Pediatric Critical Care Medicine

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A Retrospective Case-Control Study to Identify Predictors of Unplanned Admission to Pediatric Intensive Care Within 24 Hours of Hospitalization*

Krmpotic, Kristina MD, MSc1,2; Lobos, Anna-Theresa MD1; Chan, Jason MSc3; Toppozini, Christina BScN, MPH4; McGahern, Candice BA3; Momoli, Franco PhD3,5,6; Plint, Amy C. MD, MSc1,7

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Pediatric Critical Care Medicine 20(7):p e293-e300, July 2019. | DOI: 10.1097/PCC.0000000000001977

Abstract

Objectives: 

To identify the clinical findings available at the time of hospitalization from the emergency department that are associated with deterioration within 24 hours.

Design: 

A retrospective case-control study.

Setting: 

A pediatric hospital in Ottawa, ON, Canada.

Patients: 

Children less than 18 years old who were hospitalized via the emergency department between January 1, 2008, and December 31, 2012. Cases (n = 98) had an unplanned admission to the PICU or unexpected death on the hospital ward within 24 hours of hospitalization and controls (n = 196) did not.

Interventions: 

None.

Main Results: 

Ninety-eight children (53% boys; mean age 63.2 mo) required early unplanned admission to the PICU. Multivariable conditional logistic regression resulted in a model with five predictors reaching statistical significance: higher triage acuity score (odds ratio, 4.1; 95% CI, 1.7–10.2), tachypnea in the emergency department (odds ratio, 4.6; 95% CI, 1.8–11.8), tachycardia in the emergency department (odds ratio, 2.6; 95% CI, 1.1–6.5), PICU consultation in the emergency department (odds ratio, 8.0; 95% CI, 1.1–57.7), and admission to a ward not typical for age and/or diagnosis (odds ratio, 4.5; 95% CI, 1.7–11.6).

Conclusions: 

We have identified risk factors that should be included as potential predictor variables in future large, prospective studies to derive and validate a weighted scoring system to identify hospitalized children at high risk of early clinical deterioration.

Copyright © 2019 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies

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