Key result
After UK-specific optimization, PIM2, PRISM III-12, and PRISM III-24 demonstrated satisfactory calibration and good discriminatory power for predicting mortality in 10,197 UK PICU admissions.
Why the study?
Do mortality prediction tools (PRISM, PIM) accurately predict risk-adjusted mortality in UK pediatric intensive care units?
Population
10,197 admissions to 18 pediatric intensive care units in the United Kingdom between March 2001 and February…
Comparison
Mortality prediction tools vs Observed mortality
Design
Cohort
Authors
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Supports optimized PIM2/PRISM III for UK PICU risk-adjusted mortality assessment; extends validation to a large national cohort but leaves ongoing recalibration open.
Observational (n=10,197)
Yes
Do mortality prediction tools (PRISM, PIM) accurately predict risk-adjusted mortality in UK pediatric intensive care units?
PIM2, PRISM III-12, and PRISM III-24 are suitable for assessing risk-adjusted mortality in UK pediatric intensive care units after local optimization.
Brady et al. (2006) conducted an observational in Pediatric intensive care admission (n=10,197). Pediatric mortality prediction tools (PIM, PIM2, PRISM, PRISM III-12, PRISM III-24) was evaluated on Calibration and discriminatory power for predicting PICU mortality. After UK-specific optimization, PIM2, PRISM III-12, and PRISM III-24 demonstrated satisfactory calibration and good discriminatory power for predicting mortality in 10,197 UK PICU admissions.
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