(Circulation. 2007;115:949-952.)
© 2007 American Heart Association, Inc.
Editorial |
From the TIMI Study Group (D.A.M.), Cardiovascular Division, Department of Medicine, Brigham and Womens Hospital, Harvard Medical School, Boston, Mass; and the Donald W. Reynolds Cardiovascular Clinical Research Center (J.A.d.L.), University of Texas Southwestern Medical Center, Dallas, Tex.
Correspondence to Dr David A. Morrow, MD, MPH, TIMI Study Group/Cardiovascular Division, Department of Medicine, Brigham & Womens Hospital, 350 Longwood Ave, 1st Floor, Boston, MA 02115. E-mail dmorrow{at}partners.org
Key Words: Editorials angina, unstable biomarkers diagnosis myocardial infarction prognosis
| Introduction |
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Article p 962
| Criteria for the Appraisal of Novel Biomarkers |
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| Can the Clinician Measure the Biomarker? |
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| Does the Biomarker Add New Information? |
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No simple criterion exists for the magnitude of the risk relationship that will translate into clinical value. Moreover, there is debate about the optimal metrics by which to assess the incremental value of a new clinical risk indicator when added to established tools. Although we recognize the limitations of using a single criterion, we and others have sometimes used a 2-fold higher relative risk as an informal initial litmus test in early decisions to pursue additional investigation of a prognostic biomarker. However, many established risk indicators used in cardiovascular disease have a more modest strength of association. As an example, for assessment of the risk of a first coronary event, the relative odds across tertiles of systolic blood pressure have been shown to be 1.5, with an area under the receiver operating characteristic curve of 0.64.8 Nevertheless, systolic blood pressure is entrenched in clinical care because the associated risk is modifiable and is used to direct therapeutic interventions. In addition, some biomarkers may have particular value in subsets of patients for whom traditional tools have limitations or their results are ambiguous.9 Therefore, our current approach is to use all the available information (preanalytical and analytical performance, unadjusted and adjusted relative risks, area under the receiver operating curve, reclassification of risk, and performance in subgroups), as well as any data about a potential to modify the risk associated with the biomarker, in order to make an integrated assessment of the possible value of a biomarker. Use of one measure alone, such as the c statistic, may underestimate the clinical value of a biomarker.10
Both the settings in which the biomarker was studied and the outcomes analyzed must be considered in the assessment of the consistency of data and in the formulation of any recommendations for clinical use or regulatory approval. For example, the relationship between the inflammatory biomarker C-reactive protein and outcome in patients with ACS depends on the timing of measurement and the end point of interest. When measured early after presentation, C-reactive protein is associated with short-term and long-term mortality risk but shows a more modest relationship, if any, with the risk of recurrent ischemic events.11 When measured remotely after ACS, after the acute-phase response to the ACS has resolved, however, a relationship between C-reactive protein and recurrent myocardial infarction emerges.12 Finally, other physiological characteristics that influence clearance or biological variability of the marker should be determined.
| Will It Help the Clinician to Manage Patients? |
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As a second general principle, those applications that directly influence medical decision making are the most likely to earn recognition for their clinical value. Because cardiac troponin is useful both for diagnosis and for selection of patients who are most likely to benefit from specific treatments, such as administration of glycoprotein IIb/IIIa receptor inhibitors, this biomarker has become a cornerstone of care for patients with suspected ACS.1,7 At present, many newer markers, some of which have been granted regulatory approval for clinical use (eg, myeloperoxidase), have been shown to be independently associated with prognosis but have limited data about therapeutic intervention. The information gleaned from those prognostic markers that have not yet been shown to influence specific therapeutic decisions may still be used to guide triage, to inform patients and their families, and to identify those patients at highest risk who have the most to gain in absolute terms from all evidence-based interventions. Selective use of such biomarkers is reasonable in patients for whom a more complete assessment of the absolute risk is desired by the clinician.1 Nevertheless, recommendations for routine measurement in all patients with ACS are not likely to emerge unless data that support the benefit of specific therapeutic interventions become available.
| Pathobiological Considerations |
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| How Does GDF-15 Match up to These Benchmarks for Performance? |
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The authors report a strong association between GDF-15 and death at 1 year that was consistent across a variety of relevant subgroups and was independent of most major clinical indicators of mortality risk in patients with ACS, which included age, gender, delay to treatment, diabetes, previous myocardial infarction, history of heart failure, and ST-segment depression. The authors also compared the prognostic performance of GDF-15 relative to other established and novel markers, which showed that the adjusted risk was numerically greater for each standard deviation increase in GDF-15 than for N-terminal pro-B-type natriuretic peptide. Moreover, these 2 markers provided complementary information with regard to mortality. Together these data provide a robust initial assessment of GDF-15, with compelling evidence for a relationship with mortality risk that is independent of other clinical risk indicators. Although this study was conducted in 2 phases, with an initial pilot study followed by a larger validation study in the same trial population, GDF-15 needs to be examined in other cohorts of patients with ACS, including less selected populations. In addition to external validation, the potential of GDF-15 to guide decisions about treatment must be explored to understand its implications for patient care. Hypotheses about potential interactions with treatment may need to be deferred until the pathophysiology of this protein is better understood.
Wollert et al hypothesize that the circulating concentrations of GDF-15 may reflect a unique pathophysiological axis not represented by available markers of necrosis, inflammation, or hemodynamic stress. The functions of this protein are incompletely characterized, however, and a deeper understanding of its role in the pathobiology of ACS is needed. Moreover, the absence of a decline in concentration over 72 hours of serial sampling is surprising, given its proposed responsiveness to ischemic injury, and merits additional study.
| Conclusions |
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| Acknowledgments |
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Dr Morrow has received research grants from Bayer Diagnostics, Beckman-Coulter, Biosite, Bristol-Myers Squibb, Dade-Behring, GlaxoSmithKline, Merck and Company, OrthoClinical Diagnostics, Pfizer, Roche Diagnostics, and Sanof-Aventis. He has received honoraria from Bayer Diagnostics, Beckman-Coulter, Dade-Behring, Sanofi-Aventis, and Roche Diagnostics; he has also served as a consultant on the advisory boards of Beckman-Coulter, Critical Diagnostics, Genentech, GlaxoSmithKline, OrthoClinical Diagnostics, and Sanofi-Aventis. Dr de Lemos has received a research grant and honoraria from Biosite and has served as a consultant on the advisory boards of Biosite, Roche Diagnostics, Inverness Medical, and Bayer Diagnostics.
Brigham and Womens Hospital holds patents related to use of inflammatory markers in cardiovascular disease.
| Footnotes |
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| References |
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2. Morrow DA, Braunwald E. Future of biomarkers in acute coronary syndromes: moving toward a multimarker strategy. Circulation. 2003; 108: 250252.
3. Jaffe AS, Babuin L, Apple FS. Biomarkers in acute cardiac disease: the present and the future. J Am Coll Cardiol. 2006; 48: 111.
4. Wollert KC, Kempf T, Peter T, Olofsson S, James S, Johnston N, Lindahl B, Horn-Wichmann R, Brabant G, Simoons ML, Armstrong PW, Califf RM, Drexler H, Wallentin L. Prognostic value of growth-differentiation factor-15 in patients with nonST-elevation acute coronary syndrome. Circulation. 2007; 115: 962971.
5. Ridker PM. Evaluating novel cardiovascular risk factors: can we better predict heart attacks? Ann Intern Med. 1999; 130: 933937.
6. Halldorsdottir AM, Stoker J, Porche-Sorbet R, Eby CS. Soluble CD40 ligand measurement inaccuracies attributable to specimen type, processing time, and ELISA method. Clin Chem. 2005; 51: 10541057.
7. The Joint European Society of Cardiology/American College of Cardiology Committee for the redefinition of myocardial infarction. Myocardial infarction redefined: a consensus document of the Joint European Society of Cardiology/American College of Cardiology Committee for the Redefinition of Myocardial Infarction. J Am Coll Cardiol. 2000; 36: 959969.
8. Danesh J, Wheeler JG, Hirschfield GM, Eda S, Eiriksdottir G, Rumley A, Lowe GD, Pepys MB, Gudnason V. C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease. N Engl J Med. 2004; 350: 13871397.
9. Wiviott SD, Cannon CP, Morrow DA, Murphy SA, Gibson CM, McCabe CH, Sabatine MS, Rifai N, Giugliano RP, DiBattiste PM, Demopoulos LA, Antman EM, Braunwald E. Differential expression of cardiac biomarkers by gender in patients with unstable angina/nonST-elevation myocardial infarction: a TACTICS-TIMI 18 (Treat Angina with Aggrastat and Determine Cost of Therapy with an Invasive or Conservative Strategy-Thrombolysis In Myocardial Infarction 18) substudy. Circulation. 2004; 109: 580586.
10. Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007; 115: 928935.
11. James SK, Armstrong P, Barnathan E, Califf R, Lindahl B, Siegbahn A, Simoons ML, Topol EJ, Venge P, Wallentin L. Troponin and C-reactive protein have different relations to subsequent mortality and myocardial infarction after acute coronary syndrome: a GUSTO-IV substudy. J Am Coll Cardiol. 2003; 41: 916924.
12. Ridker PM, Cannon CP, Morrow D, Rifai N, Rose LM, McCabe CH, Pfeffer MA, Braunwald E. C-reactive protein levels and outcomes after statin therapy. N Engl J Med. 2005; 352: 2028.
13. Sabatine MS, Morrow DA, de Lemos JA, Gibson CM, Murphy SA, Rifai N, McCabe C, Antman EM, Cannon CP, Braunwald E. Multimarker approach to risk stratification in nonST elevation acute coronary syndromes: simultaneous assessment of troponin I, C-reactive protein, and B-type natriuretic peptide. Circulation. 2002; 105: 17601763.
14. Kempf T, Horn-Wichmann R, Brabant G, Peter T, Allhoff T, Klein G, Drexler H, Johnston N, Wallentin L, Wollert KC. Circulating concentrations of growth-differentiation factor 15 in apparently healthy elderly individuals and patients with chronic heart failure as assessed by a new immunoradiometric sandwich assay. Clin Chem. 2007; 53: 284291.
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