Key result
A risk scoring system derived from clinical, procedural, and laboratory variables accurately predicted long-term mortality (AUC 0.786) and mortality/MI (AUC 0.728) following PCI.
Why the study?
Can a risk scoring system based on easily obtainable clinical and laboratory variables accurately predict long-term mortality and mortality/MI following PCI?
Population
9165 unique patients undergoing percutaneous coronary interventions from January 1, 2001, through December…
Design
Cohort
Follow-up
1 and 5 years
Authors
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May aid post-PCI risk stratification; leaves open need for prospective validation before clinical use.
Cohort (n=9,165)
No
Can a risk scoring system based on easily obtainable clinical and laboratory variables accurately predict long-term mortality and mortality/MI following PCI?
Effect estimate: AUC 0.786 (mortality), AUC 0.728 (mortality/MI)
A simple integer-based risk scoring system using easily obtainable variables can accurately predict 1- and 5-year mortality and MI following PCI, aiding in individualized patient risk assessment.
Singh et al. (2010) conducted a cohort in Percutaneous coronary interventions (PCIs) (n=9,165). Risk adjustment models was evaluated on 1- and 5-year mortality and mortality/MI (AUC 0.786 (mortality), AUC 0.728 (mortality/MI)). A risk scoring system derived from clinical, procedural, and laboratory variables accurately predicted long-term mortality (AUC 0.786) and mortality/MI (AUC 0.728) following PCI.
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