Preventive CardiologyThe cardiovascular event reduction tool (CERT)—a simplified cardiac risk prediction model developed from the West of Scotland Coronary Prevention Study (WOSCOPS)
Section snippets
Methods
The design of WOSCOPS has been previously described.3, 7 In the present analysis, Cox proportional hazards regression8 was performed for the entire study population (intention-to-treat), placebo and treated groups (n = 6,595 men, aged 45 to 64 years old at baseline) using factors previously shown to be predictive of the primary event for the trial population.9 Model risk factors included age, diastolic blood pressure, total cholesterol/high-density lipoprotein ratio (TC/HDL), current smoking,
Results
The CERT model results are shown in Table Ifor all model variables. All continuous risk factors (diastolic blood pressure, TC/HDL, age) were expressed as categorical variables that were defined as terms corresponding to combinations of any 1, 2, or 3 of these risk factors. To assess the benefit of therapy, a term for treatment was included in the model. The inclusion of treated patients and a treatment variable did not appreciably change the hazard ratios for the other variables. The hazard
Discussion
This study was not intended to elucidate or identify specific predictors of cardiovascular disease among WOSCOPS patients. This study has been done previously for both cohorts using more appropriate epidemiologic methods.9 The goal of this study was to develop a utilitarian risk model for deriving risk and risk reduction estimates associated with an intervention. Existing risk prediction models are based primarily on observational epidemiologic cohorts,1, 2 not interventional trials, and
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