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Evaluation of cardiovascular risk profile: a comparative analysis between CUORE algorithm and the Framingham risk
G La Torre1, V Palmeri, L Pagano
1Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy. giuseppe.latorre@uniroma1.it.
Insights
The Framingham risk score is more reliable for assessing coronary heart disease (CHD) risk than the CUORE score. This study compared the two algorithms in Rome, finding Framingham to be a better predictor of cardiovascular risk.
Area of Science:
- Cardiology
- Epidemiology
- Public Health
Background:
- Coronary heart diseases (CHD) are a major cause of premature death in Europe.
- Accurate cardiovascular risk assessment is crucial for effective health interventions.
- Understanding epidemiological risk stratification is key for public health strategies.
Purpose of the Study:
- To compare the reliability of the Framingham and CUORE algorithms for assessing cardiovascular risk.
- To evaluate the performance of these risk scores in a specific patient population.
Main Methods:
- A cohort of 996 subjects from the Province of Rome was analyzed.
- Linear regression models were used to assess the goodness of fit (R2 value).
- Both simple and multivariate regression analyses were performed.
Main Results:
- The R2 value for the simple linear regression of CUORE vs. Framingham risk was 0.350.
- Adding 'Gender' and 'Age' improved the R2 to 0.732 when CUORE was dependent.
- When Framingham was dependent, the multivariate R2 was 0.478.
Conclusions:
- The CUORE score demonstrated lower reliability compared to the Framingham risk score.
- The Framingham scale showed a greater coefficient of determination in the multiple linear regression model.
- Framingham is a more dependable tool for predicting CHD risk in this population.
Objective:
Coronary heart diseases (CHD) are the leading cause of premature death and loss of disability adjusted life years in Europe. In order to implement appropriate health interventions as preventive tools, it is necessary to understand the epidemiological stratification of cardiovascular risk and the specific situation of each individual reality. This study investigates the reliability of two algorithms used to assess cardiovascular risk: the Framingham algorithm and the CUORE algorithm.
Patients And Methods:
Data specific on patients of General Practitioners working in the Province of Rome were considered, and a total of 996 subjects of both genders were evaluated. The goodness of fit of the regression model was evaluated using the R2 value.
Results:
The inferential analysis showed that the R2 value of the simple linear regression between CHD risk calculated according to the CUORE method (dependent variable) and CHD risk calculated according the Framingham method (independent variable), was initially equal to 0.350, and rose to 0.732 when the independent variables "Gender" and "Age" were added, thereby creating a multivariate regression. The R2 of the multivariate regression was 0.478 when using CHD Framingham as the dependent variable and CHD CUORE as the independent variable.
Conclusions:
It emerged that the CUORE score was less reliable than the Framingham risk score; in fact, in the multiple linear regression model, the coefficient of determination was greater when the independent variable was the Framingham scale for CHD risk.
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