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Validation of Pediatric Index of Mortality-2 scoring system in a pediatric intensive care unit, Barbados

Seetharaman Hariharan1, Kandamaran Krishnamurthy, Dionne Grannum

  • 1Department of Clinical Surgical Sciences, The University of the West Indies, St. Augustine, Trinidad & Tobago. uwi.hariharan@gmail.com

Insights

This study assessed pediatric intensive care unit (PICU) patient outcomes in a developing nation using the Pediatric Index of Mortality-2 (PIM-2) scoring system. The PICU

Area of Science:

  • Pediatric critical care medicine
  • Healthcare outcomes research
  • Epidemiology

Background:

  • Pediatric intensive care units (PICUs) in developing countries face unique challenges.
  • Accurate assessment of patient outcomes is crucial for quality improvement.
  • The Pediatric Index of Mortality-2 (PIM-2) is a validated tool for predicting mortality in pediatric ICUs.

Purpose of the Study:

  • To evaluate the performance of the PIM-2 scoring system in a PICU in a developing country.
  • To assess the risk-adjusted outcomes of pediatric ICU patients.
  • To compare the PICU's performance to international benchmarks.

Main Methods:

  • Prospective study of 163 consecutive pediatric ICU patients.
  • Data collection included demographics, diagnoses, PIM-2 scores, ICU stay duration, and hospital outcome.
  • Calculation of predicted mortality, standardized mortality ratio (SMR), and assessment of PIM-2 calibration and discrimination.

Main Results:

  • Respiratory and neurological illnesses were the most common admission diagnoses.
  • The observed mortality rate was 5.5%, with a predicted mortality of 6.2% (SMR = 0.89).
  • PIM-2 demonstrated good calibration (Hosmer-Lemeshow test) and discrimination (ROC curve AUC = 0.82).

Conclusions:

  • The PIM-2 scoring system is a valid tool for assessing outcomes in this developing country's PICU.
  • The PICU's performance is comparable to that of developed countries when risk-adjusted.
  • This study supports the use of PIM-2 for quality monitoring and benchmarking in resource-limited settings.