Prediction of coronary heart disease: a comparison between the Copenhagen risk score and the Framingham risk score applied to a Dutch population

Visser, C.; Bilo, H. J. G.; Thomsen, Troels; Groenier, Klaas H.; Jong, Betty Meyboom-de

doi:10.1046/j.1365-2796.2003.01137.x

Cited by 42 publications

(18 citation statements)

References 41 publications

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“…It should be noted that the applied Framingham equation is known to overpredict in European populations [23,29,30].…”

Section: Discussionmentioning

confidence: 99%

“…The Framingham equation was chosen for comparison, as it is probably the most widely used and quoted conventional cardiovascular risk equation. There are also data to suggest that other conventional risk equations, whereas they may be better calibrated to certain populations, tend to order patient risk estimates similarly (in non-HIV-infected populations) [23,24]. The formulation of the Framingham equation derived by Anderson et al [22] was chosen as this allowed most direct comparison with the endpoints collected in the DAD Study, and also allowed reasonably straightforward computations.…”

Section: Comparison With Standard Cardiovascular Risk Equationsmentioning

confidence: 99%

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Predicting the risk of cardiovascular disease in HIV-infected patients: the Data collection on Adverse Effects of Anti-HIV Drugs Study

Friis-Møller

Thiébaut

Reiss

et al. 2010

European Journal of Cardiovascular Prevention & Rehabilitat

331

307

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Aims HIV-infected patients receiving combination antiretroviral therapy may experience metabolic complications, potentially increasing their risk of cardiovascular diseases (CVDs). Furthermore, exposures to some antiretroviral drugs seem to be independently associated with increased CVD risk. We aimed to develop cardiovascular risk-assessment models tailored to HIV-infected patients. Methods and results Prospective multinational cohort study. The data set included 22 625 HIV-infected patients from 20 countries in Europe and Australia who were free of CVD at entry into the Data collection on Adverse Effects of Anti-HIV Drugs Study. Using cross-validation methods, separate models were developed to predict the risk of myocardial infarction, coronary heart disease, and a composite CVD endpoint. Model performance was compared with the Framingham score. The models included age, sex, systolic blood pressure, smoking status, family history of CVD, diabetes, total cholesterol, HDL cholesterol and indinavir, lopinavir/r and abacavir exposure. The models performed well with area under the receiver operator curve statistics of 0.783 (range 0.642-0.820) for myocardial infarction, 0.776 (0.670-0.818) for coronary heart disease and 0.769 (0.695-0.824) for CVD. The models estimated more accurately the outcomes in the subgroups than the Framingham score. Conclusion Risk equations developed from a population of HIV-infected patients, incorporating routinely collected cardiovascular risk parameters and exposure to individual antiretroviral therapy drugs, might be more useful in estimating CVD risks in HIV-infected persons than conventional risk prediction models. Eur J Cardiovasc Prev Rehabil 00:000-000

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“…It should be noted that the applied Framingham equation is known to overpredict in European populations [23,29,30].…”

Section: Discussionmentioning

confidence: 99%

Section: Comparison With Standard Cardiovascular Risk Equationsmentioning

confidence: 99%

Predicting the risk of cardiovascular disease in HIV-infected patients: the Data collection on Adverse Effects of Anti-HIV Drugs Study

Friis-Møller

Thiébaut

Reiss

et al. 2010

European Journal of Cardiovascular Prevention & Rehabilitat

331

307

View full text Add to dashboard Cite

show abstract

“…Danish and Dutch populations [21,22], as well as Japanese American and Hispanic men [23]. More recently, another report indicated similar overestimation of the original Framingham functions for CHD in the Chinese Multiprovincial Cohort study (CMCS); for example, in the 10th decile in men, the predicted rate was 20% vs. an actual rate of only 3% [24].…”

Section: Performance Of Caucasian-derived Decision Rulesmentioning

confidence: 91%

A risk score predicted coronary heart disease and stroke in a Chinese cohort

Zhang

Attia

DʼEste

et al. 2005

Journal of Clinical Epidemiology

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“…Further, it has been reported that the Framingham risk model is not applicable in different populations. 24,25 Thus, the MEGA risk score might be superior in its accuracy for determining CHD risk in patients with moderate hypercholesterolemia, such as Japanese patients.…”

Section: Discussionmentioning

confidence: 99%

Practical Risk Prediction Tools for Coronary Heart Disease in Mild to Moderate Hypercholesterolemia in Japan Originated From the MEGA Study Data

Teramoto

Ohashi

Nakaya³

et al. 2008

Circ J

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oronary heart disease (CHD) represents one of the main causes of death in the USA and Europe, 1 and is the second most frequent cause of death in Japan. 2 CHD risk increases remarkably with the accumulation of risk factors. [3][4][5] Data from some epidemiological studies and clinical trials have identified several risk factors for CHD 6,7 and some risk prediction scores for CHD were developed using risk factor analysis from these data. The Framingham risk model is a typical one. 8 However, it is well known that the estimated incidence of CHD by the Framingham prediction model is not consistent with the actual incidence in different populations. Therefore, different prediction scores have been developed in several countries. [9][10][11][12] In 2006, the Health Risk Evaluation Chart, 13 a risk chart corresponding to the Framingham CHD risk score, was developed based on the Nippon Data 80, 14 which used a 19-year follow-up study of data of the Japanese general population. Circulation Journal Vol.72, October 2008Thus, despite the different risk prediction tools available in several countries, it remains unclear whether these tools accurately predict risk in patients with hypercholesterolemia treated by diet with or without a statin. Regarding risk prediction for the population receiving lipid-lowering pharmacotherapy, the CHD predicted value obtained from the Framingham risk model was compared with the observed CHD incidence in a substudy of WOSCOPS, 15 conducted to confirm the efficacy of pravastatin to prevent the first onset of ischemic heart disease. The observed incidence of CHD was similar to the predicted CHD risk using the Framingham risk model in the placebo group, whereas in the pravastatin group the observed CHD incidence was lower than the predicted CHD risk, indicating that the Framingham risk model does not accurately apply to patients receiving pravastatin. 16 The MEGA study is a large-scale clinical study conducted to evaluate the efficacy of pravastatin treatment to decrease the risk of cardiovascular events in patients with mild to moderate hypercholesterolemia without a past history of ischemic heart disease and/or stroke. 17,18 This report shows that 2 different 5-year CHD incidence risk prediction tools, a risk prediction score and chart, developed from the MEGA study data is accurate and efficient for clinical application. MethodsThe Background A simple and practical risk prediction tool for coronary heart disease (CHD) to determine the specific risk level in each patient that fits the true clinical practice setting is needed and would be valuable in Japan. Methods and ResultsA 5-year risk prediction score and chart for CHD based on the MEGA study data was developed in the present study. The MEGA risk prediction score and chart were constructed based on the coefficient of each risk factor. The risk factors included in these risk prediction tools were: treatment (diet, diet plus pravastatin), sex, age, baseline high-density lipoprotein-cholesterol, baseline low-density lipoprotein-cholesterol, ...

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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

Cited by 42 publications

References 41 publications

Predicting the risk of cardiovascular disease in HIV-infected patients: the Data collection on Adverse Effects of Anti-HIV Drugs Study

Predicting the risk of cardiovascular disease in HIV-infected patients: the Data collection on Adverse Effects of Anti-HIV Drugs Study

A risk score predicted coronary heart disease and stroke in a Chinese cohort

Practical Risk Prediction Tools for Coronary Heart Disease in Mild to Moderate Hypercholesterolemia in Japan Originated From the MEGA Study Data

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