A Retrospective Case-Control Study to Identify Predictors of Unplanned Admission to Pediatric Intensive Care Within 24 Hours of Hospitalization.
Case-Control Studies
Child
Child, Preschool
Emergency Service, Hospital
Female
Humans
Infant
Infant, Newborn
Intensive Care Units, Pediatric
Male
Patient Acuity
Patient Admission
Referral and Consultation
Retrospective Studies
Risk Factors
Tachycardia
/ diagnosis
Tachypnea
/ diagnosis
Time Factors
Triage
Journal
Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies
ISSN: 1529-7535
Titre abrégé: Pediatr Crit Care Med
Pays: United States
ID NLM: 100954653
Informations de publication
Date de publication:
07 2019
07 2019
Historique:
pubmed:
1
6
2019
medline:
1
7
2020
entrez:
1
6
2019
Statut:
ppublish
Résumé
To identify the clinical findings available at the time of hospitalization from the emergency department that are associated with deterioration within 24 hours. A retrospective case-control study. A pediatric hospital in Ottawa, ON, Canada. 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. None. 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). 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.
Identifiants
pubmed: 31149966
doi: 10.1097/PCC.0000000000001977
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e293-e300Commentaires et corrections
Type : CommentIn
Type : ErratumIn