Literature DB >> 12712029

Evaluation of the pediatric risk of admission score in a pediatric emergency department.

Jocelyn Gravel1, Serge Gouin, Devendra Amre, Sylvie Bergeron, Jacques Lacroix.   

Abstract

STUDY
OBJECTIVES: The pediatric risk of admission (PRISA) score was developed to predict the risk for hospitalization for pediatric emergency department patients. We sought to evaluate prospectively the predictive value of the PRISA score with respect to the risk for hospitalization in a pediatric ED.
METHODS: A prospective cohort study was conducted in a pediatric tertiary center ED. From November 1, 2000, to October 31, 2001, 3 periods of 8 hours each were randomly chosen monthly. During these periods, all patients triaged to the ED were evaluated. Data collection was performed by an investigator uninvolved in the patients' treatment. Data were recorded before the decision regarding hospitalization was made. Odds ratios for the risk of hospitalization related to individual criteria and PRISA scores were calculated. Discrimination and calibration of the score were assessed.
RESULTS: During the study periods, 1,930 patients were evaluated. Among these, 203 hospitalizations were observed, and the PRISA score predicted 235. The goodness-of-fit test demonstrated that the score had good predictive ability (chi(2)=28.15; P =.78). Receiver operating characteristic curve analysis confirmed the latter findings (area under the curve 0.79 [95% confidence interval 0.72 to 0.86]). Some individual criteria of the score did not significantly predict risk for admission.
CONCLUSION: The PRISA score is a good predictor of the risk for hospitalization in a pediatric ED. It seems more accurate for the sicker patients. Some variables of the score could be deleted or modified to optimize its accuracy.

Entities:  

Mesh:

Year:  2003        PMID: 12712029     DOI: 10.1067/mem.2003.139

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  4 in total

1.  Exploring the clinical utility of blood ketone levels in the emergency department assessment of paediatric patients.

Authors:  P B O'Donohoe; R Kessler; T F Beattie
Journal:  Emerg Med J       Date:  2006-10       Impact factor: 2.740

2.  High rate of missing vital signs data at triage in a paediatric emergency department.

Authors:  Jocelyn Gravel; Lucie Opatrny; Serge Gouin
Journal:  Paediatr Child Health       Date:  2006-04       Impact factor: 2.253

Review 3.  Bench-to-bedside review: outcome predictions for critically ill patients in the emergency department.

Authors:  Jenny Hargrove; H Bryant Nguyen
Journal:  Crit Care       Date:  2005-04-18       Impact factor: 9.097

4.  Machine learning-based prediction of critical illness in children visiting the emergency department.

Authors:  Soyun Hwang; Bongjin Lee
Journal:  PLoS One       Date:  2022-02-17       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.