Key result
EuroHeart score accurately predicts in-hospital mortality in PCI patients with a C-index of 0.90.
Why the study?
Currently available risk prediction models for patients undergoing PCI have limited applicability, motivating the development of an in-hospital mortality prediction model based on contemporary European data.
Does the EuroHeart score accurately predict in-hospital mortality in patients undergoing percutaneous coronary intervention?
Population
46 064 consecutive patients undergoing PCI in 176 European centres
Comparison
Training set (n = 23 032) vs validation set (n = 23 032)
Design
Multicentre registry-based risk model development and validation study
Follow-up
In-hospital
Authors
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May aid PCI risk stratification in Europe; leaves open prospective validation before clinical adoption.
Observational (n=46,064)
Yes
Does the EuroHeart score accurately predict in-hospital mortality in patients undergoing percutaneous coronary intervention?
Effect estimate: C-index 0.90 (validation set)
The EuroHeart score is a highly discriminative, 16-factor risk prediction model for evaluating in-hospital mortality risk among contemporary European patients undergoing PCI.
Mulder et al. (2011) conducted an observational in Patients undergoing percutaneous coronary intervention (PCI) (n=46,064). EuroHeart score (16-factor risk prediction model) was evaluated on In-hospital mortality (C-index 0.90 (validation set)). A 16-factor risk prediction model (EuroHeart score) accurately predicted in-hospital mortality in patients undergoing PCI, demonstrating excellent discrimination with a C-index of 0.90 in validation.
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