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Original Article

Med Arch. 2016; 70(3): 193-197


Modified Algorithm for the Risk of Coronary Heart Disease Estimation

Senad Pesto, Mirsad Rahimic, Muris Pecar, Sabina Prevljak, Edin Begic, and Izet Masic.




Abstract

Introduction: Determination of the overall risk of coronary disease, enables the health professionals for planning the intensity of preventive action. Aim: The aim of this study is that by the results obtained using a modified algorithm with tables adopted by the European Society of Cardiology demonstrate the possibilities for assessment of the risk of coronary heart disease degree, for application to the targeted individual or risk factors groups. Material and methods: The study was conducted as a retrospective, prospective and controlled (included two groups of 200 respondents). Results: By comparing the presence of risk factors according to the representation of groups of diseases, or myocardial infarction, results showed that the European and SCORE table have significantly lower levels of risk factors, or those with sustained myocardial infarction are ranked in groups of low and present risk in relation to our algorithm which patients with myocardial infarction ranked as high and pronounced degree of risk. Results showed that the European and SCORE table significantly reduce the levels of risk or the persons with heart failure have been ranked in the group of low and present risks in relation to our algorithm which patients with coronary insufficiency ranked as pronounced degree of risk. Conclusion: Determination of the overall risk of coronary disease, enables the health professionals for planning the intensity of preventive action. The activities of primary prevention of risk factors, or already resulting disease, may be helpful in assessing the reduction in economic costs in healthcare, both due to lower morbidity, and reducing the total cost of treatment of patients with coronary disease.

Key words: coronary heart disease, risk factors, algorithm.






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