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Comparing heart risk scores to identify the most important risk factors for cardiovascular diseases
R Khandia1, N Puranik, N Lodhi
1Department of Biochemistry and Genetics, Barkatullah University, Bhopal, India. rekha.khandia@bubhopal.ac.in.
Insights
The Framingham Risk Score (FRS) calculator is the most reliable tool for predicting cardiovascular disease (CVD) risk. Key factors for CVD prognosis include age, weight, total cholesterol, and hemoglobin levels.
Area of Science:
- Cardiology
- Preventive Medicine
- Biostatistics
Background:
- Cardiovascular disease (CVD) is a leading global cause of mortality.
- Accurate CVD risk prediction is crucial for reducing disease burden.
- Several risk assessment tools exist, but their comparative effectiveness varies.
Purpose of the Study:
- To evaluate the superiority of four cardiovascular risk calculators: Framingham Risk Score (FRS), Q-RISK, Reynolds score, and atherosclerotic cardiovascular disease (ASCVD) risk calculator.
- To identify the most reliable parameters for cardiovascular disease (CVD) prognosis.
Main Methods:
- A prospective study involving 150 individuals.
- Utilized four distinct CVD risk assessment estimators.
- Compared calculator outputs against 16 selected parameters using statistical analysis.
Main Results:
- Statistical analysis confirmed significant correlations among key CVD risk factors.
- The Framingham Risk Score (FRS) calculator demonstrated superior performance.
- FRS showed stronger corroboration with statistical analyses and better prediction of prognostic factors.
Conclusions:
- Age, weight, total cholesterol, and hemoglobin levels are the most significant parameters for CVD risk and prognosis.
- The Framingham Risk Score (FRS) calculator is superior to the other evaluated risk estimators for CVD risk assessment.
Objective:
Cardiovascular disease (CVD) is the most common non-communicable disease and the leading cause of death worldwide. To reduce the global burden of CVD and related morbidity and mortality, early prediction of CVD risk is essential. Various tools are available to access the risk of cardiovascular disorders. In the present study, we evaluated four risk score calculators associated to CVD for superiority and most reliable CVD prognosis parameters.
Patients And Methods:
In the present prospective study, we investigated the probability of CVD in 150 individuals, including both men and women, using four different cardiovascular risk assessment estimators (Framingham Risk Score [FRS] Calculator, Q-RISK calculator, Reynolds score calculator, and atherosclerotic cardiovascular disease (ASCVD) risk calculator) and evaluated how closely they were related to 16 selected parameters. The four risk estimators shared several common parameters, such as age, smoking status, and blood pressure; however, each of them also used some unique parameters. We used statistical analysis to reduce the number of parameters necessary to predict CVD.
Results:
Statistical analysis revealed a significant correlation between the main factors responsible for CVD risk. The analysis revealed that out of the four risk calculators tested, the FRS calculator was superior to the others because it showed more significant corroboration with statistical tools and could better predict the most important prognostic factors in CVD.
Conclusions:
In all four risk estimators, the parameters that affected risk most significantly and conferred the most reliable CVD prognosis were age, weight, total cholesterol, and hemoglobin levels. With that FRS calculator was superior to the others.
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