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- Thomas Mueller, Alfons Gegenhuber, Benjamin Dieplinger, Werner Poelz, and Meinhard Haltmayer.
- Department of Laboratory Medicine, Konventhospital Barmherzige Brueder, Linz, Austria. thomas.mueller@bblinz.at
- Clin. Chem. 2005 Dec 1; 51 (12): 2245-51.
BackgroundThe aim of the present study was to prospectively evaluate the diagnostic utility of B-type natriuretic peptide (BNP) and amino-terminal proBNP (NT-proBNP) measurements for the detection of cardiac structural disease in asymptomatic patients with systemic arterial hypertension and to test the hypothesis that the 2 analytes are equally useful in this clinical setting.MethodsWe studied a consecutive series of 149 asymptomatic patients referred for echocardiographic evaluation of the cardiac effects of systemic arterial hypertension. Diagnosis of cardiac structural disease was based on the presence of systolic or diastolic dysfunction, left atrial dilatation, left ventricular dilatation or hypertrophy, pulmonary hypertension, and wall motion or valvular abnormalities. Blood concentrations of BNP and NT-proBNP were measured by 2 commercially available assays (Abbott AxSYM and Roche Elecsys, respectively). Diagnostic accuracies of BNP and NT-proBNP were assessed by ROC curve analysis. Areas under the curves were compared by analysis of equivalency.ResultsIn distinguishing between hypertensive patients with cardiac structural disease (n = 118) and hypertensive patients without (n = 31), areas under the curves were 0.740 (95% confidence interval, 0.662-0.808) for BNP and 0.762 (0.685-0.828) for NT-proBNP and were significantly equivalent (P = 0.015). Cutoff values with a 90% sensitivity for cardiac structural disease were 17 ng/L for BNP and 39 ng/L for NT-proBNP, with 29% and 32% specificity, respectively.ConclusionsBNP and NT-proBNP have similar capabilities for detecting cardiac structural disease in asymptomatic patients with systemic arterial hypertension. However, in the setting evaluated, a screening strategy relying on measurement of BNP or NT-proBNP may be of limited value because of the low specificity at the selected cutoff values.
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