Evaluation of risk scores for risk stratification of acute coronary syndromes in the Myocardial Infarction National Audit Project (MINAP) database.
OBJECTIVE
To compare the discriminative performance of the PURSUIT, GUSTO-1, GRACE, SRI and EMMACE risk models, assess their performance among risk supergroups and evaluate the EMMACE risk model over the wider spectrum of acute coronary syndrome (ACS).


METHODS
Observational study of a national registry.


METHODS
All acute hospitals in England and Wales.


METHODS
100 686 cases of ACS between 2003 and 2005.


METHODS
Model performance (C-index) in predicting the likelihood of death over the time period for which they were designed. The C-index, or area under the receiver-operating curve, range 0-1, is a measure of the discriminative performance of a model.


RESULTS
The C-indexes were: PURSUIT C-index 0.79 (95% confidence interval 0.78 to 0.80); GUSTO-1 0.80 (0.79 to 0.81); GRACE in-hospital 0.80 (0.80 to 0.81); GRACE 6-month 0.80 (0.79 to 0.80); SRI 0.79 (0.78 to 0.80); and EMMACE 0.78 (0.77 to 0.78). EMMACE maintained its ability to discriminate 30-day mortality throughout different ACS diagnoses. Recalibration of the model offered no notable improvement in performance over the original risk equation. For all models the discriminative performance was reduced in patients with diabetes, chronic renal failure or angina.


CONCLUSIONS
The five ACS risk models maintained their discriminative performance in a large unselected English and Welsh ACS population, but performed less well in higher-risk supergroups. Simpler risk models had comparable performance to more complex risk models. The EMMACE risk score performed well across the wider spectrum of ACS diagnoses.
Gale
C P
CP
Division of Cardiovascular and Diabetes Research, Leeds Institute of Genetics Health and Therapeutics, University of Leeds, Clarendon Way, West Yorkshire, Leeds LS2 9JT, UK. c.p.gale@leeds.ac.uk
Manda
S O M
SO
Weston
C F
CF
Birkhead
J S
JS
Batin
P D
PD
Hall
A S
AS
D054058:Acute Coronary Syndrome / Q000401:mortality*; D000368:Aged; D004739:England / Q000453:epidemiology; D005260:Female; D006801:Humans; D008017:Life Expectancy / Q000639:trends; D008297:Male; D015233:Models, Statistical; D009203:Myocardial Infarction / Q000401:mortality*; D011379:Prognosis; D012372:ROC Curve; D018570:Risk Assessment / Q000379:methods; D012720:Severity of Illness Index; D014852:Wales / Q000453:epidemiology