High-sensitivity cardiac troponin T and N-terminal pro-B-type natriuretic peptide predict mortality in stable coronary artery disease: results from the Ludwigshafen Risk and Cardiovascular Health (LURIC) study

Evangelos Giannitsis, Eberhard Spanuth, Andrea Horsch, Marcus E. Kleber, Winfried Koch, Tanja B. Grammer, Wolfgang Köenig, Winfried März

Clinical Chemistry and Laboratory Medicine (CCLM) · 2013 · 24 citations · 31 references

Concepts

Abstract

BACKGROUND: The simultaneous assessment of high-sensitivity cardiac troponin T (hscTnT) and NT-proBNP for predicting death in stable coronary artery disease (CAD) has yet not been examined. We investigated the additional contribution of hscTnT to the risk of mortality prediction of NT-proBNP in patients with stable CAD. METHODS: We studied 1469 patients with stable CAD enrolled in the Ludwigshafen Risk and Cardiovascular Health Study (LURIC). hscTnT and NT-proBNP were measured in baseline samples using immunoassays (Roche Diagnostics, Germany). RESULTS: Thirty-five percent (n=525) of the patients died during a median follow-up of 7 and a half years. In total 59.0% of the non-survivors and 25.2% of the survivors exhibited concentrations of hscTnT≥14 ng/L. Logistic regression analysis identified hscTnT and NT-proBNP as independent risk markers for short-term (1-year follow-up) and long-term (9-years follow-up) mortality. ROC curve analysis determined optimal univariate cut-offs at 14 ng/L and 443 µg/L for hscTnT (AUC 0.725, p<0.0001) and NT-proBNP (AUC 0.742, p<0.0001), respectively. Kaplan-Meier survival analysis based on optimized cut-offs for the simultaneous determination of both biomarkers confirmed the usefulness of additive hscTnT especially in prediction of short-term mortality. The prognostic benefit of the combined assessment of hscTnT and NT-proBNP could be confirmed by a significantly increased reclassification index (NRI) of 24.2%. CONCLUSIONS: The majority of non-survivors exhibited increased hscTnT concentrations above 14 ng/L. The simultaneous determination of NT-proBNP and hscTnT was superior for risk stratification compared to determining either marker alone. Especially the prediction of the clinically important 1-year mortality was significantly improved by addition of hscTnT to NT-proBNP.

References

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