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. 2012 Sep 25;126(13):1596-604.
doi: 10.1161/CIRCULATIONAHA.112.129437. Epub 2012 Aug 20.

Prognostic utility of novel biomarkers of cardiovascular stress: the Framingham Heart Study

Affiliations

Prognostic utility of novel biomarkers of cardiovascular stress: the Framingham Heart Study

Thomas J Wang et al. Circulation. .

Abstract

Background: Biomarkers for predicting cardiovascular events in community-based populations have not consistently added information to standard risk factors. A limitation of many previously studied biomarkers is their lack of cardiovascular specificity.

Methods and results: To determine the prognostic value of 3 novel biomarkers induced by cardiovascular stress, we measured soluble ST2, growth differentiation factor-15, and high-sensitivity troponin I in 3428 participants (mean age, 59 years; 53% women) in the Framingham Heart Study. We performed multivariable-adjusted proportional hazards models to assess the individual and combined ability of the biomarkers to predict adverse outcomes. We also constructed a "multimarker" score composed of the 3 biomarkers in addition to B-type natriuretic peptide and high-sensitivity C-reactive protein. During a mean follow-up of 11.3 years, there were 488 deaths, 336 major cardiovascular events, 162 heart failure events, and 142 coronary events. In multivariable-adjusted models, the 3 new biomarkers were associated with each end point (P<0.001) except coronary events. Individuals with multimarker scores in the highest quartile had a 3-fold risk of death (adjusted hazard ratio, 3.2; 95% confidence interval, 2.2-4.7; P<0.001), 6-fold risk of heart failure (6.2; 95% confidence interval, 2.6-14.8; P<0.001), and 2-fold risk of cardiovascular events (1.9; 95% confidence interval, 1.3-2.7; P=0.001). Addition of the multimarker score to clinical variables led to significant increases in the c statistic (P=0.005 or lower) and net reclassification improvement (P=0.001 or lower).

Conclusion: Multiple biomarkers of cardiovascular stress are detectable in ambulatory individuals and add prognostic value to standard risk factors for predicting death, overall cardiovascular events, and heart failure.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr. Wang has received research or assay support from Diasorin, Brahms, LabCorp, and Siemens Diagnostics, and honoraria from Roche, Diasorin, and Quest Diagnostics. Drs. Wang, Larson, and Vasan are named as co-inventors on patent applications relating to the use of metabolomic or neurohormonal biomarkers in risk prediction. Dr. Januzzi has received research grant funding from Roche Diagnostics, Siemens Diagnostics, and Critical Diagnostics. Drs. Wollert and Kempf are named as co-inventors on a patent for the use of GDF-15 for cardiovascular applications, and have a contract with Roche Diagnostics for the development of a GDF-15 assay. Dr. Wollert has received research grant funding from Roche Diagnostics.

Figures

Figure 1
Figure 1
Cumulative incidence of death (Figure 1A), heart failure (Figure 1B), and first major cardiovascular events (Figure 1C), according to quartile of a multimarker score consisting of sST2, GDF-15, hsTnI, BNP, and hsCRP. Curves for heart failure and major cardiovascular events are adjusted for the competing risk of death.
Figure 1
Figure 1
Cumulative incidence of death (Figure 1A), heart failure (Figure 1B), and first major cardiovascular events (Figure 1C), according to quartile of a multimarker score consisting of sST2, GDF-15, hsTnI, BNP, and hsCRP. Curves for heart failure and major cardiovascular events are adjusted for the competing risk of death.
Figure 1
Figure 1
Cumulative incidence of death (Figure 1A), heart failure (Figure 1B), and first major cardiovascular events (Figure 1C), according to quartile of a multimarker score consisting of sST2, GDF-15, hsTnI, BNP, and hsCRP. Curves for heart failure and major cardiovascular events are adjusted for the competing risk of death.

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