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| ID | Type | Description | Link |
|---|---|---|---|
| PREDICT | Other Identifier | CardioDx |
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The PREDICT study is to develop and validate a diagnostic blood ASGES (age, sex, gene expression score) or Corus CAD for atherosclerotic coronary artery disease (CAD). The Corus CAD (Age/Sex/Gene Expression score - ASGES) will use quantitative real-time PCR (RT-PCR) to quantify the expression of multiple genes from circulating peripheral blood cells to assess the presence of clinically significant CAD in a patient.
The purpose of the PREDICT study is to develop and validate a diagnostic blood ASGES (age, sex, gene expression score) or Corus CAD for atherosclerotic coronary artery disease (CAD). The Corus CAD (Age/Sex/Gene Expression score - ASGES) will use quantitative real-time PCR (RT-PCR) to quantify the expression of multiple genes from circulating peripheral blood cells to assess the presence of clinically significant CAD in a patient.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| segment 1 | Gene discovery blood draw |
| |
| sement 2 | Assay development blood draw |
| |
| segment 3 | Assay validation blood draw |
| |
| segment 4 | Additional assay testing blood draw (Note: post discovery diabetic subjects assigned to this group) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Corus CAD (ASGES) | Diagnostic Test | Age/Sex/Gene Expression Score - ASGES |
|
| Measure | Description | Time Frame |
|---|---|---|
| Algorithm AUC >0.50 | The primary analysis will be performed during the third segment of the study using a subset of the enrolled subjects ("primary subjects"). The primary endpoint for the PREDICT study is a validated algorithm that can accurately classify subjects with and without any coronary artery lesion with a ≥50% diameter stenosis, as measured by Core Laboratory blinded quantitative coronary angiography. In evaluating this endpoint, subjects will be classified as either cases or controls. The endpoint will be assessed by calculating the area under the curve (AUC) for the algorithm score, and testing against an AUC = 0.50 to determine clinical utility, using an alpha level of 0.05 (two-sided). | 30days |
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Inclusion Criteria:
Referral for a coronary angiogram (either invasive X-ray angiography or coronary CTA)
Any one of the following clinical syndromes:
Exclusion Criteria:
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Patients undergoing clinically indicated invasive coronary artery angiogram or CT angiogram.
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| Name | Affiliation | Role |
|---|---|---|
| Mark Monane, MD FACP CMQ | CardioDx | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Alaska Heart Institute | Anchorage | Alaska | 99508 | United States | ||
| CV Medical Group Southern California |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 20921541 | Result | 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. | |
| 24529158 |
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whole blood, buffy coat, spun plasma, RNA
| Beverly Hills |
| California |
| 90210 |
| United States |
| Scripps HealthCare | La Jolla | California | 92037 | United States |
| Washington Hospital Medical Center | Washington D.C. | District of Columbia | 20010 | United States |
| Fuqua Heart Center of Atlanta | Atlanta | Georgia | 30309 | United States |
| Minneapolis Heart Institute | Minneapolis | Minnesota | 55407 | United States |
| Duke University Medical Center | Durham | North Carolina | 27705 | United States |
| Allegheny Hospital | Pittsburgh | Pennsylvania | 15212 | United States |
| Vanderbilt University Medical Center | Nashville | Tennessee | 37232 | United States |
| Intermountain HealthCare | Salt Lake City | Utah | 84107 | United States |
| Result |
| 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. |
| 23210427 | Result | 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. |
| 22980297 | Result | 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. |
| 22396313 | Result | 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. |
| 21443790 | Result | 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. |
| 25119856 | Derived | 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. |
| ID | Term |
|---|---|
| D003324 | Coronary Artery Disease |
| D000787 | Angina Pectoris |
| D002637 | Chest Pain |
| D002318 | Cardiovascular Diseases |
| D003327 | Coronary Disease |
| D050197 | Atherosclerosis |
| ID | Term |
|---|---|
| D017202 | Myocardial Ischemia |
| D006331 | Heart Diseases |
| D001161 | Arteriosclerosis |
| D001157 | Arterial Occlusive Diseases |
| D014652 | Vascular Diseases |
| D010146 | Pain |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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