Outcome of intensive care unit patients using Pediatric Risk of Mortality (PRISM) score

Area of Science:

• Pediatric Critical Care Medicine
• Clinical Outcomes Research
• Biostatistics

Background:

• Pediatric intensive care units (PICUs) manage critically ill children.
• Accurate prediction of patient outcomes is crucial for resource allocation and treatment planning.
• The Pediatric Index of Mortality (PIM) score is a tool used to assess severity of illness.

Purpose of the Study:

• To evaluate the effectiveness of the PIM score in predicting mortality and other outcomes in a PICU setting.
• To determine the correlation between PIM score and length of hospital stay and organ failures.
• To identify an optimal PIM score cut-off for predicting adverse outcomes.

Main Methods:

• Retrospective analysis of 203 patients admitted to the PICU.
• Utilized the PIM score for severity assessment.
• Statistical analysis including calculation of odds ratios (OR) and confidence intervals (CI).

Main Results:

• Overall mortality rate was 16.7%.
• Mean PIM scores differed significantly between survivors (6.5+/-3.6) and non-survivors (15.5+/-7) (OR: 1.36; 95% CI=1.24 -1.5; P<0.001).
• PIM score strongly correlated with length of hospital stay and number of organ failures (P<0.001). A PIM score cut-off of 15 demonstrated 89.2% accuracy.

Conclusions:

• The PIM score is a highly sensitive and accurate tool for predicting outcomes in pediatric ICU patients.
• The PIM score can guide clinical decision-making and resource management in pediatric critical care.
• A PIM score cut-off of 15 is recommended for identifying patients at higher risk of adverse outcomes.