Cover image of the article: Mortality Risk Prediction by Application of Pediatric Risk of Mortality Scoring System in Pediatric Intensive Care Unit

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Mortality Risk Prediction by Application of Pediatric Risk of Mortality Scoring System in Pediatric Intensive Care Unit

Authors

Ghasem Miri-Aliabad1,*, Ali Khajeh2, Noor Mohammad Noori3, Mohsen Reisi4, Afshin Fayyazi5, Mahdi Mohammadi6
*Corresponding Author: Email: gh_miri@yahoo.com

Innovative Journal of Pediatrics:Vol. 23, issue 5; 546-550
Published online:Aug 14, 2013
Article type:Research Article
Received:Feb 08, 2013
Accepted:Jul 24, 2013
How to Cite:Miri-Aliabad G, Khajeh A, Noori NM, Reisi M, Fayyazi A, et al. Mortality Risk Prediction by Application of Pediatric Risk of Mortality Scoring System in Pediatric Intensive Care Unit. Inn J Pediatr. 2013;23(5):. doi:

Abstract

Objective: The Pediatric Risk of Mortality (PRISM) score is one of the scores used by many pediatricians for prediction of the mortality risk in the pediatric intensive care unit (PICU). Herein, we intend to evaluate the efficacy of PRISM score in prediction of mortality rate in PICU. Methods: In this cohort study, 221 children admitted during an 18-month period to PICU, were enrolled. PRISM score and mortality risk were calculated. Follow up was noted as death or discharge. Results were analyzed by Kaplan-Meier curve, ROC curve, Log Rank (Mantel-Cox), Logistic regression model using SPSS 15. Findings: Totally, 57% of the patients were males. Forty seven patients died during the study period. The PRISM score was 0-10 in 71%, 11-20 in 20.4% and 21-30 in 8.6%. PRISM score showed an increase of mortality from 10.2% in 0-10 score patients to 73.8% in 21-30 score ones. The survival time significantly decreased as PRISM score increased (P≤0.001). A 7.2 fold mortality risk was present in patients with score 21-30 compared with score 0-10. ROC curve analysis for mortality according to PRISM score showed an under curve area of 80.3%. Conclusion: PRISM score is a good predictor for evaluation of mortality risk in PICU.

 

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Copyright

© 2013, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

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