Use of the Corus® CAD Gene Expression Test for Assessment of Obstructive Coronary Artery Disease Likelihood in Symptomatic Non-Diabetic Patients

PLoS Currents

Volumn , Issue AUG, 2013, Pages

  Vargas, Jose ^a   Lima, Joao A C ^b   Kraus, William E ^c   Douglas, Pamela S ^d   Rosenberg, Steven ^e  

^a GEORGETOWN UNIVERSITY HOSPITAL   (United States)

^b JOHNS HOPKINS HOSPITAL   (United States)

^c DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d DUKE UNIVERSITY   (United States)

^e CardioDx Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANGIOCARDIOGRAPHY; CLINICAL ASSESSMENT; CORONARY ARTERY DISEASE; CORONARY ARTERY OBSTRUCTION; DECISION MAKING; DIAGNOSTIC ACCURACY; GENE EXPRESSION PROFILING; HEALTH CARE POLICY; HUMAN; PREVALENCE; PUBLIC HEALTH PROBLEM; RECEIVER OPERATING CHARACTERISTIC; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; REVIEW; RISK FACTOR; SENSITIVITY AND SPECIFICITY; VALIDITY;

EID: 84883722016     PISSN: None     EISSN: 21573999     Source Type: Journal    
DOI: 10.1371/currents.eogt.0f04f6081905998fa92b99593478aeab     Document Type: Review

References (27)

1. Fihn SD, Gardin JM, Abrams J, Berra K, Blankenship JC, Dallas AP,et al. 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the diagnosis and management of patients with stable ischemic heart disease: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. J Am Coll Cardiol. 2012;60(24):e44-e164.
2. Patel MR, Peterson ED, Dai D, Brennan JM, Redberg RF, Anderson HV,et al. Low diagnostic yield of elective coronary angiography. N Engl J Med. 2010;362(10):886-95.
3. Rozanski A, Gransar H, Hayes SW, Min J, Friedman JD, Thomson LE,et al. Temporal trends in the frequency of inducible myocardial ischemia during cardiac stress testing: 1991 to 2009. J Am Coll Cardiol. 2013;61(10):1054-65.
4. Kwok Y, Kim C, Grady D, Segal M, Redberg R. Meta-analysis of exercise testing to detect coronary artery disease in women. Am J Cardiol. 1999;83(5):660-6.
5. Dolor RJP, Melloni, C.; Chatterjee, R.; McBroom, A.J.; Musty, M.D.; Wing, L.; Coeytaux, R.R.; Ross, A.K.; Bastian, L.A.; Anderson, M.; Kosinski, A.S.; Sanders, G.D. Noninvasive Tecnologies for the Diagnosis of Coronary Artery Disease in Women. Comparative Effectiveness Review No. 58. AHRQ. 2012;12(EHCO34-EF).
6. Lin GA, Dudley RA, Lucas FL, Malenka DJ, Vittinghoff E, Redberg RF. Frequency of stress testing to document ischemia prior to elective percutaneous coronary intervention. Jama. 2008;300(15):1765-73.
7. Elashoff MR, Wingrove JA, Beineke P, Daniels SE, Tingley WG, Rosenberg S,et al. Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients. BMC Med Genomics. 2011;4(1):26.
8. Cayley WE, Jr. Diagnosing the cause of chest pain. Am Fam Physician. 2005;72(10):2012-21.
9. Fook NU, P.; Agreus, L.; Karlson, B.W.; Nilsson, S. Approach to managing undiagnosed chest pain. Can Fam Physician. 2007;53(2):261-6.
10. Nilsson S, Scheike M, Engblom D, Karlsson LG, Molstad S, Akerlind I,et al. Chest pain and ischaemic heart disease in primary care. Br J Gen Pract. 2003;53(490):378-82.
11. Research XM.
12. Ayyad AE, Cole J, Syed A, Desai MY, Halliburton S, Schoenhagen P,et al. Temporal trends in utilization of cardiac computed tomography. J Cardiovasc Comput Tomogr. 2009;3(1):16-21.
13. Ashley EA, Hershberger RE, Caleshu C, Ellinor PT, Garcia JG, Herrington DM,et al. Genetics and cardiovascular disease: a policy statement from the American Heart Association. Circulation. 2012;126(1):142-57.
14. Arnett DK. Summary of the American Heart Association9s scientific statement on the relevance of genetics and genomics for prevention and treatment of cardiovascular disease. Arterioscler Thromb Vasc Biol. 2007;27(8):1682-6.
15. Cappola TP, Margulies KB. Functional genomics applied to cardiovascular medicine. Circulation. 2011;124(1):87-94.
16. Doring Y, Noels H, Weber C. The use of high-throughput technologies to investigate vascular inflammation and atherosclerosis. Arterioscler Thromb Vasc Biol. 2012;32(2):182-95.
17. Vargas JD, Lima JA. Coronary artery disease: A gene-expression score to predict obstructive CAD. Nat Rev Cardiol. 2013.
18. Elashoff MR, Nuttall R, Beineke P, Doctolero MH, Dickson M, Johnson AM,et al. Identification of factors contributing to variability in a blood-based gene expression test. PLoS One. 2012;7(7):e40068.
19. Rosenberg S, Elashoff MR, Beineke P, Daniels SE, Wingrove JA, Tingley WG,et al. Multicenter validation of the diagnostic accuracy of a blood-based gene expression test for assessing obstructive coronary artery disease in nondiabetic patients. Ann Intern Med. 2010;153(7):425-34.
20. Lansky A, Elashoff MR, Ng V, McPherson J, Lazar D, Kraus WE,et al. A gender-specific blood-based gene expression score for assessing obstructive coronary artery disease in nondiabetic patients: Results of the Personalized Risk Evaluation and Diagnosis in the Coronary Tree (PREDICT) Trial. Am Heart J. 2012;164(3):320-6.
21. Thomas GS, Voros S, McPherson JA, Lansky AJ, Winn ME, Bateman TM,et al. A blood-based gene expression test for obstructive coronary artery disease tested in symptomatic nondiabetic patients referred for myocardial perfusion imaging the COMPASS study. Circ Cardiovasc Genet. 2013;6(2):154-62.
22. Rosenberg S, Elashoff MR, Lieu HD, Brown BO, Kraus WE, Schwartz RS,et al. Whole Blood Gene Expression Testing for Coronary Artery Disease in Nondiabetic Patients: Major Adverse Cardiovascular Events and Interventions in the PREDICT Trial. J Cardiovasc Transl Res. 2012;2012:7.
23. Conlin MFH, L.; Mouton, M.; Wilson, L.; Yau, M.; Elashoff, M.; Monane, M.; McPherson, J.A. The Use of a Personalized Gene Expression Test to Improve Decision Making in the Evaluation of Patients with Suspected Coronary Artery Disease. J Gen Intern Med. 2012;27:S540-1.
24. McPherson JA, Davis K, Yau M, Beineke P, Rosenberg S, Monane M,et al. The Clinical Utility of Gene Expression Testing on the Diagnostic Evaluation of Patients Presenting to the Cardiologist With Symptoms of Suspected Obstructive Coronary Artery Disease: Results From the IMPACT (Investigation of a Molecular Personalized Coronary Gene Expression Test on Cardiology Practice Pattern) Trial. Crit Pathw Cardiol. 2013;12(2):37-42.
25. MolDx Corus CAD Test Coding and Billing Guidelines. 2013. http://www.palmettogba.com/palmetto/providers.nsf/DocsCat/ProvidersJu risdiction%201%20Part%20BBrowse%20by%20TopicMolDxCovered %20Tests8WXQ5R5416?open&navmenu=%7C%7C.
26. Teutsch SM, Bradley LA, Palomaki GE, Haddow JE, Piper M, Calonge N,et al. The Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Initiative: methods of the EGAPP Working Group. Genet Med. 2009;11(1):3-14.
27. Bild DE, Detrano R, Peterson D, Guerci A, Liu K, Shahar E,et al. Ethnic differences in coronary calcification: the Multi-Ethnic Study of Atherosclerosis (MESA). Circulation. 2005;111(10):1313-20.