• Circulation · Jul 2005

    Prediction of myocardial infarction by N-terminal-pro-B-type natriuretic peptide, C-reactive protein, and renin in subjects with cerebrovascular disease.

    • Duncan J Campbell, Mark Woodward, John P Chalmers, Samuel A Colman, Alicia J Jenkins, Bruce E Kemp, Bruce C Neal, Anushka Patel, and Stephen W MacMahon.
    • St. Vincent's Institute of Medical Research, Department of Medicine, University of Melbourne, St Vincent's Hospital, Fitzroy, Victoria, Australia. dcampbell@svi.edu.au
    • Circulation. 2005 Jul 5; 112 (1): 110-6.

    BackgroundB-type natriuretic peptide (BNP), C-reactive protein (CRP), and renin are elevated in persons at risk for cardiovascular disease. However, data that directly compare these markers in the prediction of myocardial infarction (MI) are limited.Methods And ResultsN-terminal-proBNP (NT-proBNP), CRP, and renin were measured in baseline blood samples from a nested case-control study of the 6105 participants of the Perindopril Protection Against Recurrent Stroke Study (PROGRESS), a placebo-controlled study of a perindopril-based blood pressure-lowering regimen among individuals with previous stroke or transient ischemic attack. Each of 206 subjects who experienced MI, either fatal or nonfatal, during a mean follow-up of 3.9 years was matched to 1 to 3 control subjects. Most MI cases (67%) occurred in subjects without a history of coronary heart disease. NT-proBNP, CRP, and renin each predicted MI; the odds ratio for subjects in the highest compared with the lowest quarter was 2.2 (95% CI, 1.3 to 3.6) for NT-proBNP, 2.2 (95% CI, 1.3 to 3.6) for CRP, and 1.7 (95% CI, 1.1 to 2.8) for renin. NT-proBNP and renin, but not CRP, remained predictors of MI after adjustment for all other predictors, including LDL and HDL cholesterol levels. Individuals with both NT-proBNP and renin in their highest quarters had 4.5 times the risk of MI compared with subjects with both biological markers in their lowest quarters.ConclusionsNT-proBNP and renin, but not CRP, are independent predictors of MI risk after stroke or transient ischemic attack, providing information additional to that provided by classic risk factors, and may enable more effective targeting of MI prevention strategies.

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