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Prediction of coronary heart disease: a comparison between the Copenhagen risk score and the Framingham risk score applied to a Dutch population
Author(s) -
De Visser C. L.,
Bilo H. J. G.,
Thomsen T. F.,
Groenier K. H.,
MeyboomDe Jong B.
Publication year - 2003
Publication title -
journal of internal medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.625
H-Index - 160
eISSN - 1365-2796
pISSN - 0954-6820
DOI - 10.1046/j.1365-2796.2003.01137.x
Subject(s) - framingham risk score , medicine , population , risk factor , coronary heart disease , risk assessment , framingham heart study , blood pressure , demography , absolute risk reduction , disease , environmental health , computer security , sociology , computer science
. de Visser CL, Bilo HJG, Thomsen TF, Groenier KH, Meyboom‐de Jong B (University of Groningen, Groningen; Isala Clinics, Weezenlanden location, Zwolle, The Netherlands; Glostrup University Hospital, Glostup, Denmark). Prediction of coronary heart disease: a comparison between the Copenhagen risk score and the Framingham risk score applied to a Dutch population. J Intern Med 2003; 253: 553–562. Objectives. To compare the estimation of coronary heart disease (CHD) risk by the Framingham risk score (FRS) and the Copenhagen risk score (CRS) using Dutch population data. Design. Comparison of CHD risk estimates from FRS and CRS. CHD risk‐estimations for each separate risk factor. Setting. Urk, the Netherlands. Subjects. A total of 408 fishermen from Urk, aged 30–65 years, without pre‐existing cardiovascular disease. Main outcome measures. Absolute CHD risk estimates. Results. The average 10‐year risk for CHD was significantly different between the FRS (4.6%, SD 5.0) and the CRS (3.2%, SD 4.1). The correlation between the two estimates was 0.94 ( P < 0.001). The Bland–Altman figure shows a large proportion of agreement, but with an increasing difference with increasing average risk. When examining the separate risk factors age, total cholesterol, HDL cholesterol and systolic blood pressure and smoking, there appear differences between the two risk functions. Conclusion. Using Dutch population data, differences were found for the calculation of CHD risk with the FRS and the CRS. Further research must be carried out to examine the validity of these risk functions in the Dutch population.