Key result
The additive EuroSCORE model provided similar discrimination to the logistic model (c-index 0.794 vs 0.791) but greatly underestimated predicted mortality (5.4% vs 8.3%).
Why the study?
Does the logistic EuroSCORE model improve mortality risk prediction accuracy compared to the additive EuroSCORE model in cardiac surgery patients?
Population
28,337 cardiac surgeries from the Providence Health System Cardiovascular Study Group database
Comparison
Logistic EuroSCORE risk model vs Additive EuroSCORE risk model
Design
Cohort
Authors
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Additive EuroSCORE underestimates mortality risk; supports logistic preference but should not yet change practice without prospective validation.
Observational (n=28,337)
Does the logistic EuroSCORE model improve mortality risk prediction accuracy compared to the additive EuroSCORE model in cardiac surgery patients?
Absolute Event Rate: 8.3% vs 5.4%
The logistic EuroSCORE model should be preferred over the additive model for predicting cardiac surgery mortality, as the additive model significantly underestimates risk in high-risk patients.
Jin et al. (2005) conducted an observational in Cardiac surgery (n=28,337). Logistic EuroSCORE risk model vs. Additive EuroSCORE risk model was evaluated on Predicted mortality. The additive EuroSCORE model provided similar discrimination to the logistic model (c-index 0.794 vs 0.791) but greatly underestimated predicted mortality (5.4% vs 8.3%).
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