Evaluatie van nieuwe risicomarkers voor coronaire hartziekte*
Open

Erasmus Rotterdam Gezondheid Onderzoek (ERGO)
Onderzoek
02-07-2013
Maarten J.G. Leening, Maryam Kavousi, Ewout W. Steyerberg, Albert Hofman, Moniek P.M. de Maat, Matthijs Oudkerk, Aad van der Lugt, Anton H. van den Meiracker en Jacqueline C.M. Witteman

Evaluation of newer risk markers for coronary heart disease: the Rotterdam Study

To evaluate the value of a number of the newer risk markers used to improve the risk classification for coronary heart disease (CHD) in asymptomatic persons.

Design

Prospective cohort study in the general population of Rotterdam, the Netherlands (The Rotterdam Study).

Methods

Data on measurements taken between 1997 and 2001 in 5,933 persons free of CHD (40.6% men; mean age 69.1 years) were collected. We studied the predictive ability of 12 newer risk markers (N-terminal pro-brain natriuretic peptide [NT-proBNP] levels, von Willebrand factor antigen levels, fibrinogen levels, chronic kidney disease, leukocyte count, C-reactive protein levels, homocysteine levels, uric acid levels, coronary artery calcification [CAC] scores obtained by means of CT, carotid intima-media thickness, peripheral arterial disease, and aortic pulse wave velocity). The predictive value was determined by adding a newer marker to a prediction model that was based on traditional cardiovascular risk factors.

Results

Risk discrimination improved the most with the addition of CAC scores. A net 23.5% of the individuals who developed CHD were reclassified to a higher risk category, but also 4.2% of those who did not develop CHD. This resulted in a net reclassification improvement (NRI) of 0.193. The CAC score was followed by NT-proBNP (NRI 0.076) in terms of the most improvement to risk classification. Improvements in risk predictions with the other newer markers were marginal.

Conclusions

Classification of CHD risk predictions improved most with the addition of the CAC scores to the risk model. Further research is needed to assess whether refinements in risk prediction will actually lead to more effective prevention of cardiovascular disease together with justifiable costs and efforts.

Conflict of interest and financial support: disclosure forms provided by the authors are available along with the full text of this article at www.ntvg.nl, search for A6123; click on ‘Belangenverstrengeling’ (‘Conflict of interest’). This research was financially supported by grants from the Netherlands Organisation for Scientific Research (NWO) and the Netherlands Organisation for Health Research and Development (ZonMw) (Vici 918.76.619; ZonMw 80-82500-98-10208), the Dutch Heart Foundation (2003B179; 2007B159), the Netherlands Consortium for Healthy Ageing (NCHA) and the ‘Vereniging Trustfonds Erasmus Universiteit Rotterdam’ (foundation for the Erasmus University Rotterdam trust funds).