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

authors:

avatar Ghasem Miri-Aliabad 1 , * , avatar Ali Khajeh 2 , avatar Noor Mohammad Noori 3 , avatar Mohsen Reisi 4 , avatar Afshin Fayyazi 5 , avatar Mahdi Mohammadi 6


how to cite: Miri-Aliabad G, Khajeh A, Noori N M , Reisi M, Fayyazi A, et al. Mortality Risk Prediction by Application of Pediatric Risk of Mortality Scoring System in Pediatric Intensive Care Unit. Iran J Pediatr. 2013;23(5): 546-550. 

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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