الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Scoring systems evaluate the patient’s mortality risk in the PICU by assigning a score to patient and predicting the outcome. However, patient’s mortality is not only affected by PICU performance but also depends on many other factors such as demographic and clinical characteristic of population, infrastructure and non-medical factors (management and organization), case mix and admission practice .Technology advances in PICU resulted to a more sophisticated care for children, therefore making the PICU prepared to treat cases of high complexity at high cost. However, the technology available has no always succeeded in improving the quality of patient care and to augment life expectancy.
Knowledge of such determinants of outcome in critically ill would not only help improve prognostic evaluation of patients, but also indicate what therapy and research should focus on to improve the short and long term outcomes of those patients.
Estimation of disease severity and probability of death are important elements in determining the prognosis of patients in PICU and a more accurate prognostic assessment can lead to more appropriate monitoring , proper management and family counseling. The most commonly measured PICU outcomes are mortality, length of stay, functional outcome, and organ dysfunction. The two most commonly used scoring systems to predict PICU mortality are the Pediatric Risk of Mortality (PRISM) and the Pediatric Index of Mortality (PIM), Pediat