Risk factors for predicting mortality in a paediatric intensive care unit

Area of Science:

• Pediatric Intensive Care Medicine
• Critical Care Research
• Medical Outcome Analysis

Background:

• Rising healthcare costs and technological advancements necessitate accurate outcome prediction in critical care.
• Mortality risk prediction models are essential for resource allocation and quality improvement in pediatric intensive care units (PICUs).

Purpose of the Study:

• To identify and assess key risk factors associated with mortality in a pediatric intensive care unit (PICU).
• To develop a predictive model for mortality risk in pediatric intensive care admissions.

Main Methods:

• A cohort study design was employed, analyzing consecutive PICU admissions over a one-year period.
• Data collected included multi-organ dysfunction syndrome (MODS), Pediatric Risk of Mortality III (PRISM III) scores (first 24 hours), mechanical ventilation, renal replacement therapy, age, and diagnosis-related groups.
• Univariate and multivariate statistical analyses, including Cox Proportional Hazards modeling, were utilized.

Main Results:

• Mechanical ventilation, renal replacement therapy, MODS involving three or more organs, and PRISM III-24 scores were significantly associated with increased mortality (P < 0.0005).
• The relative risk of mortality was 11.3 for MODS and 15.8 for PRISM III-24 scores >= 8.
• A predictive equation (RR = e0.1032 x P) was derived using the Cox Proportional Hazards model to estimate mortality risk based on PRISM III-24 scores.

Conclusions:

• MODS and PRISM III scores are significant predictors of mortality in the PICU.
• The developed predictive model can aid in assessing mortality risk for new PICU admissions.
• These findings support the use of validated scoring systems and organ dysfunction assessment for risk stratification in pediatric critical care.