Personalized Risk Evaluation and Diagnosis (Using Corus CAD or ASGES) in the Coronary Tree
NCT ID: NCT00500617
Last Updated: 2019-01-31
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
4350 participants
OBSERVATIONAL
2007-07-31
2011-09-30
Brief Summary
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Detailed Description
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This is a prospective, multi-center, observational study. Participation in the study does not alter clinical care. The only procedure required by the protocol is collection of a research blood sample. All other data collected will be in accordance with each participating institution's standard patient care.
The study is divided into four sequential segments with unique subjects and goals: ASGES (Corus CAD) discovery (segment 1), ASGES (Corus CAD) development (segment 2), ASGES (Corus CAD) validation (segment 3), and additional ASGES (Corus CAD) testing (segment 4). The primary analysis will be performed during the third segment of the study using a subset of the enrolled subjects ("primary subjects"). Primary subjects will be defined by additional eligibility criteria beyond the general eligibility criteria required for enrollment in the overall study. The additional, post-enrollment eligibility criteria will be based on clinical and demographic factors that are found during the course of the study to affect the expression of genes used in the ASGES (Corus CAD). Such factors will be identified during gene discovery and algorithm development. The post-enrollment eligibility criteria will be defined prior to the beginning of the ASGES (Corus CAD) validation segment of the study.
In addition, three substudies are planned and will enroll up to 1500 subjects.
* The first substudy will include subjects undergoing cardiac CT angiography (CTA) and aims to determine how gene expression correlates with total coronary atheroma burden, as measured by CTA.
* The second substudy examines sample handling and shipping conditions and does not affect the treatment of the subjects.
* The third substudy will focus on additional algorithm development and validation in a non-diabetic female patient population.
Conditions
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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segment 1
Gene discovery blood draw
Corus CAD (ASGES)
Age/Sex/Gene Expression Score - ASGES
sement 2
Assay development blood draw
Corus CAD (ASGES)
Age/Sex/Gene Expression Score - ASGES
segment 3
Assay validation blood draw
Corus CAD (ASGES)
Age/Sex/Gene Expression Score - ASGES
segment 4
Additional assay testing blood draw (Note: post discovery diabetic subjects assigned to this group)
Corus CAD (ASGES)
Age/Sex/Gene Expression Score - ASGES
Interventions
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Corus CAD (ASGES)
Age/Sex/Gene Expression Score - ASGES
Eligibility Criteria
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Inclusion Criteria
* Any one of the following clinical syndromes:
1. chest pain syndrome, stable angina, or anginal equivalent suggesting myocardial ischemia
2. low-risk unstable angin, or
3. asymptomatic individuals with a high probability of CAD
Exclusion Criteria
* Current Myocardial Infarct (MI), acute coronary syndrome with high-risk features or unstable angina with high-risk features
* New York Heart Association (NYHA) class III or IV congestive
* Inability to give informed congestive heart failures
* Severe left ventricular systolic dysfunction (LVEF\<35%)
* Severe regurgitant or stenotic cardiac valve lesion
* Active or chronic systemic infection
* Rheumatologic, autoimmune or hematologic conditions
* Any organ transplant
* Immunosuppressive therapy
* Chemotherapy in the preceding year
* Major blood or blood product transfusion in the preceding 2 months
21 Years
99 Years
ALL
No
Sponsors
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CardioDx
INDUSTRY
Responsible Party
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Principal Investigators
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Mark Monane, MD FACP CMQ
Role: STUDY_CHAIR
CardioDx
Locations
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Alaska Heart Institute
Anchorage, Alaska, United States
CV Medical Group Southern California
Beverly Hills, California, United States
Scripps HealthCare
La Jolla, California, United States
Washington Hospital Medical Center
Washington D.C., District of Columbia, United States
Fuqua Heart Center of Atlanta
Atlanta, Georgia, United States
Minneapolis Heart Institute
Minneapolis, Minnesota, United States
Duke University Medical Center
Durham, North Carolina, United States
Allegheny Hospital
Pittsburgh, Pennsylvania, United States
Vanderbilt University Medical Center
Nashville, Tennessee, United States
Intermountain HealthCare
Salt Lake City, Utah, United States
Countries
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References
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Rosenberg S, Elashoff MR, Beineke P, Daniels SE, Wingrove JA, Tingley WG, Sager PT, Sehnert AJ, Yau M, Kraus WE, Newby LK, Schwartz RS, Voros S, Ellis SG, Tahirkheli N, Waksman R, McPherson J, Lansky A, Winn ME, Schork NJ, Topol EJ; PREDICT (Personalized Risk Evaluation and Diagnosis in the Coronary Tree) Investigators. 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 Oct 5;153(7):425-34. doi: 10.7326/0003-4819-153-7-201010050-00005.
Voros S, Elashoff MR, Wingrove JA, Budoff MJ, Thomas GS, Rosenberg S. A peripheral blood gene expression score is associated with atherosclerotic Plaque Burden and Stenosis by cardiovascular CT-angiography: results from the PREDICT and COMPASS studies. Atherosclerosis. 2014 Mar;233(1):284-90. doi: 10.1016/j.atherosclerosis.2013.12.045. Epub 2014 Jan 20.
Beineke P, Fitch K, Tao H, Elashoff MR, Rosenberg S, Kraus WE, Wingrove JA; PREDICT Investigators. A whole blood gene expression-based signature for smoking status. BMC Med Genomics. 2012 Dec 3;5:58. doi: 10.1186/1755-8794-5-58.
Lansky A, Elashoff MR, Ng V, McPherson J, Lazar D, Kraus WE, Voros S, Schwartz RS, Topol EJ. 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 Sep;164(3):320-6. doi: 10.1016/j.ahj.2012.05.012. Epub 2012 Jul 24.
Rosenberg S, Elashoff MR, Lieu HD, Brown BO, Kraus WE, Schwartz RS, Voros S, Ellis SG, Waksman R, McPherson JA, Lansky AJ, Topol EJ; PREDICT Investigators. 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 Jun;5(3):366-74. doi: 10.1007/s12265-012-9353-z. Epub 2012 Mar 7.
Elashoff MR, Wingrove JA, Beineke P, Daniels SE, Tingley WG, Rosenberg S, Voros S, Kraus WE, Ginsburg GS, Schwartz RS, Ellis SG, Tahirkheli N, Waksman R, McPherson J, Lansky AJ, Topol EJ. Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients. BMC Med Genomics. 2011 Mar 28;4:26. doi: 10.1186/1755-8794-4-26.
Daniels SE, Beineke P, Rhees B, McPherson JA, Kraus WE, Thomas GS, Rosenberg S. Biological and analytical stability of a peripheral blood gene expression score for obstructive coronary artery disease in the PREDICT and COMPASS studies. J Cardiovasc Transl Res. 2014 Oct;7(7):615-22. doi: 10.1007/s12265-014-9583-3. Epub 2014 Aug 14.
Other Identifiers
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PREDICT
Identifier Type: OTHER
Identifier Source: secondary_id
CDX_000004
Identifier Type: -
Identifier Source: org_study_id
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