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Predictive ability of the SCORE Belgium risk chart for cardiovascular mortality
Dirk De Bacquer1, Guy De Backer
1Department of Public Health, Ghent University, Gent, Belgium. dirk.debacquer@ugent.be
Insights
The new SCORE Belgium risk chart accurately predicts 10-year cardiovascular disease deaths in Belgium. This tool enhances cardiovascular risk assessment for prevention efforts.
Area of Science:
- Cardiology
- Public Health
- Epidemiology
Background:
- Accurate cardiovascular risk assessment is crucial for effective prevention strategies.
- The Systematic COronary Risk Evaluation (SCORE) tool aids in identifying high-risk individuals.
- Adapting risk charts to national data improves prediction accuracy.
Purpose of the Study:
- To develop and validate a calibrated SCORE risk chart for Belgium.
- To assess the predictive accuracy of the SCORE Belgium risk chart for fatal cardiovascular events.
- To evaluate the chart's suitability for cardiovascular risk estimation in the Belgian population.
Main Methods:
- Validated the SCORE Belgium risk chart using a prospective cohort of 6212 non-diabetic individuals.
- Assessed agreement between predicted and observed cardiovascular deaths using statistical tests (chi-square, Hosmer-Lemeshow).
- Evaluated discriminatory power using Harrell's c-statistic and ROC analysis.
Main Results:
- The SCORE Belgium chart predicted 263 cardiovascular deaths, closely matching the 274 observed events over 10 years.
- Demonstrated very good accuracy across the risk spectrum (Hosmer-Lemeshow P=0.14).
- Achieved excellent discriminatory power with a c-statistic of 0.86, identifying future fatal cardiovascular disease cases effectively.
Conclusions:
- The SCORE Belgium risk chart is a well-suited tool for accurate and precise cardiovascular risk assessment in Belgium.
- The chart's performance supports its use in clinical practice for cardiovascular prevention.
- Validation confirms the chart's reliability for estimating 10-year fatal cardiovascular event probability.
Background:
The identification of persons at high cardiovascular risk is of primary importance in the context of cardiovascular prevention. Accuracy and precision of risk assessment are essential properties. We developed a calibrated SCORE risk chart (Systematic COronary Risk Evaluation) for calculating the absolute 10-year probability of developing a fatal cardiovascular event, adapted to national mortality statistics and risk factor distributions in Belgium and critically evaluated its predictive accuracy.
Methods:
Our SCORE Belgium risk chart was validated using data from 6212 non-diabetic men and women free of CHD participating in a prospective cohort study carried out in the eighties (Belgian Interuniversity Research on Nutrition and Health). Agreement between numbers of predicted and observed CVD deaths across the entire spread of risk was studied using chi-square and Hosmer-Lemeshow statistics. Discriminatory power of risk estimates was evaluated according to Harrell's c-statistic.
Results:
During the period of 10 years, 274 CVD deaths were observed while the recalibrated risk chart predicted 263 events. The SCORE Belgium risk chart showed very good accuracy over the complete range of predicted risk (Hosmer-Lemeshow: P=0.14). ROC analysis revealed excellent discriminatory power in labelling future cases of fatal cardiovascular disease with a c-statistic of 0.86. The 5% threshold for the probability of 10-year cardiovascular death yielded an optimal balance of sensitivity and specificity.
Conclusions:
The SCORE Belgium risk chart proves to be well suited as an accurate and precise estimation tool for the assessment of cardiovascular risk in Belgium.
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