Why the study?
Can a logistic regression model using variables collected at admission accurately predict mortality risk in pediatric intensive care patients?
Population
Children less than 16 years of age admitted to intensive care (n=5695 in the final cohort study)
Design
Cohort
Authors
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Supports PIM as a practical admission-based mortality predictor in pediatric ICU; leaves open need for prospective validation before routine adoption.
Can a logistic regression model using variables collected at admission accurately predict mortality risk in pediatric intensive care patients?
The Paediatric Index of Mortality (PIM) is a simple and accurate model using admission variables to predict mortality risk in pediatric intensive care units, avoiding biases associated with models using worst values over 12-24 hours.
Shann et al. (1997) studied this question.
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