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Modified Algorithm for the Risk of Coronary Heart Disease Estimation
Senad Pesto1, Mirsad Rahimic2, Muris Pecar3
1Clinic for Emergeny Medicine, Clinical Centre of Sarajevo, University, Sarajevo, Bosnia and Herzegovina.
Medical Archives (Sarajevo, Bosnia and Herzegovina)
|September 6, 2016
Summary
A modified algorithm for coronary heart disease risk assessment shows higher risk levels than European Society of Cardiology (ESC) and SCORE tables. This improved risk stratification aids in planning preventive actions and reducing healthcare costs.
Area of Science:
- Cardiology
- Preventive Medicine
- Health Economics
Background:
- Accurate coronary disease risk assessment is crucial for effective preventive strategies.
- Health professionals require precise tools to plan interventions based on individual risk levels.
Purpose of the Study:
- To evaluate a modified algorithm for coronary heart disease (CHD) risk assessment.
- To compare its performance against European Society of Cardiology (ESC) and SCORE tables.
- To demonstrate its utility for targeted individual and group risk stratification.
Main Methods:
- Retrospective, prospective, and controlled study design.
- Inclusion of two distinct groups of 200 respondents each.
- Utilized a modified algorithm alongside ESC and SCORE risk assessment tables.
Main Results:
- The modified algorithm identified higher risk levels for myocardial infarction and coronary insufficiency compared to ESC and SCORE tables.
- Patients with myocardial infarction were classified as high risk by the modified algorithm, versus low/present risk by ESC/SCORE.
- Heart failure patients were classified as pronounced risk by the modified algorithm, versus low/present risk by ESC/SCORE.
Conclusions:
- The modified algorithm offers a more pronounced risk stratification for coronary disease.
- Enhanced risk assessment can optimize preventive actions and potentially reduce healthcare expenditures.
- Improved identification of high-risk individuals can lead to more targeted and cost-effective interventions.
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