Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 422883
Title Risk prediction of incident coronary heart disease in the Netherlands: re-estimantion and improvement of the SCORE risk function
Author(s) Merry, A.H.; Boer, J.M.A.; Schouten, L.J.; Ambergen, T.; Steyerberg, E.W.; Feskens, E.J.M.; Verschuren, W.M.M.; Gorgels, A.P.; Brandt, P.A. van den
Source European Journal of Preventive Cardiology 19 (2012)4. - ISSN 2047-4873 - p. 840 - 848.
DOI http://dx.doi.org/10.1177/1741826711410256
Department(s) Chair Nutrition and Disease
VLAG
Publication type Refereed Article in a scientific journal
Publication year 2012
Keyword(s) global cardiovascular risk - c-reactive protein - clinical-practice - myocardial-infarction - roc curve - validation - framingham - reclassification - mortality - models
Abstract Aims: To re-estimate the SCORE risk function using individual data on risk factors and coronary heart disease (CHD) incidence from the Dutch Cardiovascular Registry Maastricht (CAREMA) population-based cohort study; to evaluate changes that may improve risk prediction after re-estimation; and to compare the performance of the resulting CAREMA risk function with that of existing risk scores. Methods and results: The cohort consisted of 21,148 participants, born in 1927–1977 and randomly sampled from the Maastricht region in 1987–1997. After follow-up (median 10.9 years), 783 incident CHD cases occurred. Model performance was assessed by discrimination and calibration. The additional value of including other risk factors or current risk factors in a different manner was evaluated using the net reclassification index (NRI). The c statistic of the re-estimated SCORE model was 0.799 (95% CI 0.782–0.816). Separating the total/high-density lipoprotein (HDL) cholesterol ratio into total and HDL cholesterol levels did not improve the c statistic (p = 0.22), but reclassified 6.0% of the participants into a more appropriate risk category (p <0.001) compared with the re-estimated model. The resulting CAREMA function reclassified 28% of the participants into a more appropriate risk category than the Framingham score. Compared with the SCORE functions for high- and low-risk regions, the NRIs were 28% and 35%, respectively, which can largely be explained by the difference in outcome definition (CHD incidence vs. CHD mortality). Conclusion: In this Dutch population, a re-estimated SCORE function with total and HDL cholesterol levels instead of the cholesterol ratio can be used for the risk prediction of CHD incidence.
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