Predictors of one-year mortality at hospital discharge after acute coronary syndromes: A new risk score from the EPICOR (long-tErm follow uP of antithrombotic management patterns In acute CORonary syndrome patients) study
Key result
A new 12-variable risk score demonstrated excellent discrimination for predicting one-year mortality in hospital survivors of acute coronary syndromes (c-statistic=0.81).
Why the study?
Can a new risk score predict one-year mortality in hospital survivors after an acute coronary syndrome?
Population
10,568 consecutive hospital survivors after an ACS event (4943 ST-segment elevation myocardial infarction…
Design
Cohort
Follow-up
up to two years
Authors
Discussion
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Member takes
Implication
May support post-ACS risk stratification; leaves open external validation before clinical use.
Study Design
Type
Cohort (n=10,568)
Multicenter
Yes
Structured PICO
Can a new risk score predict one-year mortality in hospital survivors after an acute coronary syndrome?
P
Population
10,568 consecutive hospital survivors after an acute coronary syndrome event, followed for up to two years to develop a mortality risk score.
E
Exposure
A new risk score for one-year mortality based on 12 independent predictors
O
Outcome
One-year mortalityhard clinical
Main Result
Effect estimate: c-statistic 0.81
A newly developed 12-variable risk score provides excellent discrimination for predicting one-year mortality in patients discharged after an acute coronary syndrome.
Cite This Study
Pocock et al. (2014) conducted a cohort in Acute coronary syndrome (n=10,568). 12-variable risk score was evaluated on One-year mortality (c-statistic 0.81). A new 12-variable risk score demonstrated excellent discrimination for predicting one-year mortality in hospital survivors of acute coronary syndromes (c-statistic=0.81).