A Randomized Comparison of Stage-Based Care Versus Risk Factor-Based Care for Prevention of Cardiovascular Events
Purpose
TRANSFORM is a prospective, randomized, open blinded endpoint (PROBE), event-driven, pragmatic trial in patients who are at increased risk for atherosclerotic cardiovascular (CV) disease but with no known symptomatic CV disease. The trial tests the hypothesis that a Cleerly Coronary Artery Disease (CAD) Staging System-based care strategy reduces CV events compared with risk factor-based care.
Conditions
- Diabetes Mellitus, Type 2
- PreDiabetes
- Metabolic Syndrome
Eligibility
- Eligible Ages
- Over 55 Years
- Eligible Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- Provided electronic or written informed consent 2. Men > 55, women > 65 years of age 3. Type 2 diabetes mellitus requiring pharmacologic therapy, prediabetes (most recent HbA1c 5.7 to 6.4% and/or fasting glucose 100-125 mg/dL [5.6-6.9 mmol/L]) and/or metabolic syndrome. Metabolic syndrome is defined as > 3 of the following criteria (International Diabetes Federation 2006): - Body mass index ≥ 27 kg/m2 or abnormal waist circumference defined as ≥ 80 cm (31.5 inches) for women, ≥ 94 cm (37 inches) for men; for South and East Asian men (e.g., Asian Indian, Chinese, Japanese) ≥ 90 cm (35.4 inches) - Fasting triglycerides ≥ 150 mg/dL (1.7 mmol/L) or treated hypertriglyceridemia - HDL-cholesterol (HDL-C) < 40 mg/dL (1.03 mmol/L) in men, <50 mg/dL (1.29 mmol/L) in women or treatment for this lipid abnormality - Systolic blood pressure (BP) ≥ 130 and/or diastolic BP≥ 85 mm Hg and/or treated hypertension - Fasting blood glucose ≥ 100 mg/dL (5.6 mmol/L) or HbA1c ≥ 5.7% 4. Have a device (e.g., smartphone, tablet, computer) for communication with the central cardiologist-led team managing drug treatment for the personalized care group
Exclusion Criteria
- History of symptomatic CVD defined as prior MI, exertional or unstable angina, ischemic stroke, claudication, arterial revascularization for atherosclerosis or other CVD being actively managed by a cardiologist, e.g. atrial fibrillation, heart failure 2. Planned arterial revascularization 3. Inability to complete screening CCTA or any condition that would increase the risk associated with CCTA or increase likelihood of uninterpretable scan including: 1. eGFR < 60 mL/min/1.73 m2 by the Chronic Kidney Disease Epidemiology Collaboration (CKD EPI) or Modification of Diet in Renal Disease (MDRD) equation (www.kidney.org/professionals/kdoqi/gfr_calculator) 2. Allergy to iodinated contrast or history of contrast-induced nephropathy (including adverse reaction to contrast at screening CCTA) or screening laboratory values consistent with untreated hyperthyroidism. Participants with elevated thyroid-stimulating hormone (TSH) may be enrolled but should be referred to their physician for evaluation for treatment. 3. Thyroid cancer in the previous five (5) years or planned radioactive iodine treatment 4. Weight > 300 lbs. (136 kg) or above manufacturer-recommended limit for scanner and table at the site 5. Inability to hold breath for > 10 seconds 6. Active arrhythmia (atrial fibrillation, atrial flutter, frequent premature atrial, or ventricular contractions) with poorly controlled rate (i.e., > 80 beats per minute at screening or prior to CCTA) 7. Contraindication to dosing with beta blocker or nitroglycerin on day of screening CCTA 8. Any other factor that, in the opinion of the investigator, would increase participant risk or increase the chance of an uninterpretable CCTA 4. Unsuitable as a trial participant in the opinion of the investigator for reasons including significant left main stenosis (e.g. ≥ 70%; site will be notified by Cleerly), other health condition with life expectancy < 3 years or being at risk of poor compliance with study procedures (e.g., active substance abuse or untreated mental illness that, in the opinion of the investigator, is likely to adversely affect adherence or retention)
Study Design
- Phase
- N/A
- Study Type
- Interventional
- Allocation
- Randomized
- Intervention Model
- Parallel Assignment
- Intervention Model Description
- Prospective, randomized, open blinded endpoint (PROBE), event-driven pragmatic trial
- Primary Purpose
- Prevention
- Masking
- None (Open Label)
Arm Groups
| Arm | Description | Assigned Intervention |
|---|---|---|
|
No Intervention Risk Factor-Based Care |
The risk factor-based care group will be managed by their usual care providers, with an initial pre-randomization assessment of current treatment by a centralized cardiology team to optimize care relative to primary prevention guidelines. During the trial, the centralized cardiology team will monitor the provision of medications prescribed and lab values relative to guidelines, and provide feedback and education to site investigators to support optimization. CCTA results will be centrally archived and will remain blinded to the usual care provider until the end of the study. |
|
|
Experimental Cleerly Stage-Based Care |
The Cleerly Stage-Based Care group will receive personalized care centrally managed by a remote cardiologist-led team. They will also receive an initial pre-randomization assessment of current treatment by a centralized cardiology team to optimize care relative to primary prevention guidelines. Cleerly CAD Staging System results will be discussed with participants and serve as the basis for standardized algorithm-supported pharmacotherapy & education, which will be intensified if plaque burden has progressed at 24 months. |
|
Recruiting Locations
Chandler, Arizona 85224
Muhammad Salim, MD
Scottsdale, Arizona 85260
Todd Dreitzler, MD
Sun City, Arizona 85381
Juan Rodriguez, MD
Tucson, Arizona 85704
Roxana Rodriguez, MD
Beverly Hills, California 90210
Ronald P. Karlsberg, MD
Beverly Hills, California 90211
Michael Levine, MD
Canoga Park, California 91303
Rami Shaarawy
Chula Vista, California 91911
Milind D. Parikh, MD
Granada Hills, California 91324
Pascal Dabel, MD
Huntington Park, California 90255
Philip Kim, MD
Indian Wells, California 92210
John F. Feller, MD
La Jolla, California 92037
Elizabeth Epstein, MD
Lancaster, California 93534
Pamela Dewar-DeSilva, MD
Loma Linda, California 92354
Purvi Parwani, MD
Long Beach, California 90805
Ashley Duzik, MD
Monterey Park, California 91754
Yu-Hsiang Sam Lee, MD
Newhall, California 91321
Thuong Vo, MD
Northridge, California 91324
Richard Park, MD
Northridge, California 91324
Nana Barseghian, MD
Northridge, California 91325
William Y. Josephson, MD
Orange, California 92868
Ailin Barseghian El-Farra, MD
Palo Alto, California 94304
Sandra Tsai, MD
Palo Alto, California 94304
Shriram Nallamshetty, MD
San Fernando, California 91306
Farid Yasharpour, MD
Tarzana, California 91356
Harpreet Singh, MD
Torrance, California 90502
Suvasini Lakshmanan, MD
Valencia, California 91355
Dennis Lewis, MD
Valley Village, California 91607
Ruth Espinoza, MD
Aurora, Colorado 80045
Steve Simon
Denver, Colorado 80218
Christopher Angus, MD
Boca Raton, Florida 33434
Michael Hafran, MD
Cross City, Florida 32628
Tamir Salmani, MD
Hialeah, Florida 33012
Riquel Gonzalez, MD
Jacksonville, Florida 32209
Luis Ortega Paz, MD
Miami, Florida 33135
Osvaldo Caroma, MD
Miami, Florida 33137
Julie Cadet-Plassman, MD
Miami, Florida 33155
Teresa B. Alfonso, MD
Miami, Florida 33173
Leyvi Alvarado Miranda, MD
Miami, Florida 33173
Jonathan Fialkow, MD
Miami, Florida 33183
Ingrid Fernandez-Milian, MD
Miami, Florida 33186
Sander Fernandez, MD
Miami Beach, Florida 33140
Christopher A. Fayeghi, MD
Pensacola, Florida 32504
Lauren J. Stipp, MD
Pompano Beach, Florida 33060
Howard S. Koch, MD
Tampa, Florida 33620
Shone Almeida, MD
Augusta, Georgia 30907
Anthony D. Turner, MD
Dunwoody, Georgia 30338
Ambar Kulshreshtha, MD
Fayetteville, Georgia 30214
Charlotte Grayson Mathis, MD
Lithia Springs, Georgia 30122
Millard Collier Jr., MD
Macon, Georgia 31210
Frederick Burton, MD
Norcross, Georgia 30092
Dmitriy Pelishev, MD
Powder Springs, Georgia 30127
Karan Raghavan, MD
Riverdale, Georgia 30296
Claire K. Willie, MD
Savannah, Georgia 31406
Thomas G. Moriarity, MD
Thomasville, Georgia 31792
William L. Cooper, MD
Meridian, Idaho 83642
David A. Hinchman, MD
Chicago, Illinois 60611
Paul C. Cremer, MD
Glenview, Illinois 60026
Amit K. Pursnani, MD
Indianapolis, Indiana 46202
Arshad P. Malik
Indianapolis, Indiana 46237
Ryan P Daly, MD
West Des Moines, Iowa 50266
Enrico L. Martin, MD
Edgewood, Kentucky 41017
Erica Pivato, MD
Louisville, Kentucky 40202
Shahab Ghafghazi, MD
Bowie, Maryland 20715
Sara Collins, MD
Columbia, Maryland 21045
William Saway, MD
Boston, Massachusetts 02114
Pradeep Natarajan, MD
Boston, Massachusetts 02115
Ron Blankstein, MD
Detroit, Michigan 48202
Cori E Russell, MD
Ypsilanti, Michigan 48917
Ahmad Mizyed, MD
Minneapolis, Minnesota 55407
Michael D. Miedema, MD
St Louis, Missouri 63110
Farhan M. Katchi, MD
St Louis, Missouri 63136
Gil Vardi, MD
Kalispell, Montana 59901
Justin Buls, MD
Missoula, Montana 59804
Audrey Remmers, MD
Lincoln, Nebraska 68506
Chad E. Travers, MD
Las Vegas, Nevada 89102
Tatiana O. Tsvetkova, MD
Las Vegas, Nevada 89128
Bharat R. Mocherla, MD
Flemington, New Jersey 08822
Andrey Espinoza, MD
Marlton, New Jersey 08053
Mark T. Finch, MD
New Brunswick, New Jersey 08901
Sabahat Bokhari, MD
Paramus, New Jersey 07652
Himanshu Gupta, MD
Teaneck, New Jersey 07666
Jaffar Raza, MD
Brooklyn, New York 11221
Nelly Cohen, MD
Brooklyn, New York 11226
Manoj Dalmia, MD
Jackson Heights, New York 11372
Ammara Mushtaq, MD
Lake Success, New York 11042
Steven Goldberg, MD
Mount Kisco, New York 10549
Margaret Andersen, MD
New York, New York 10019
Waqas A Malick, MD
New York, New York 10029
Solomon Bienstock, MD
Chapel Hill, North Carolina 27599
Matthew Cavender, MD
Durham, North Carolina 27701
William Yancy, MD
Durham, North Carolina 27705
Hayden Bosworth, MD
Fayetteville, North Carolina 28304
Nafisa Saleem, MD
Winston-Salem, North Carolina 27157
Michael Shapiro, MD
Fargo, North Dakota 58102
David J. Clardy, MD
Akron, Ohio 44304
Wissam Alajaji, MD
Oklahoma City, Oklahoma 73007
Faisal Latif, MD
Oklahoma City, Oklahoma 73109
Joseph Grillo, MD
Tulsa, Oklahoma 74104
Michael Megaly, MD
Camp Hill, Pennsylvania 17011
Venkatesh Nadar, MD
Charleston, South Carolina 29425
Marc-Andre Cornier, MD
Cleveland, Tennessee 37312
Carlton Volberg, MD
Knoxville, Tennessee 37920
Kashif A. Shaikh, MD
Nashville, Tennessee 37202
David Huneycutt, MD
Abilene, Texas 79601
Ren Zhang, MD
Beaumont, Texas 77702
John T Fowler, MD
Greenville, Texas 75402
Marc Demyun, MD
Houston, Texas 77004
Ijeoma A. Ekeruo
Houston, Texas 77025
Rohan R Wagle, MD
Houston, Texas 77030
Sadeer Al-Kindi, MD
Houston, Texas 77070
Anjani Pandya, MD
Laredo, Texas 78041
Amando Garza, MD
Lewisville, Texas 75057
Moiz M. Shafiq, MD
McKinney, Texas 75069
Muhammad Akram Khan, MD
Mesquite, Texas 75149
Salma Saiger, MD
San Marcos, Texas 78666
Alan Lee, MD
Stephenville, Texas 76401
Benjamin Marcum, MD
Richmond, Virginia 23225
Michael Arcarese, MD
Everett, Washington 98201
Xiaojing Jennie Shen, MD
Seattle, Washington 98195
Kelley Branch, MD
Charleston, West Virginia 25304
Sarah Rinehart, MD
More Details
- Status
- Recruiting
- Sponsor
- Cleerly, Inc.
Detailed Description
Cardiovascular disease (CVD) persists as the leading cause of morbidity and mortality worldwide at high societal cost. The current primary CVD prevention strategy relies upon risk stratification using population health markers such as age, sex, diabetes, hypertension, dyslipidemia and tobacco use, with preventive therapy intensified in higher risk strata. Since these risk factors are indirect surrogate markers of the underlying disease, atherosclerosis, this strategy leads to treatment of individuals with risk factors who do not have atherosclerosis and failure to treat those with significant atherosclerosis who lack risk factors. The current strategy also cannot determine which individuals are inadequately treated despite effective risk factor management (residual risk). With the current approach, the CV death rate is trending upward in the US despite evidence that screening asymptomatic patients reduces CV events and the widespread availability of effective preventive therapies. This randomized, controlled, pragmatic trial is designed to address the unmet need for better strategies to identify asymptomatic individuals at increased risk for CV events due to atherosclerosis and to personalize their treatment based on CV risk estimates using coronary artery disease (CAD) visualization and quantification. This study enrolls patients without known symptoms of ASCVD but who are at increased risk for ASCVD due to their age and having diabetes, prediabetes or metabolic syndrome and tests the hypothesis that a CAD Staging System-based care strategy reduces CV events compared with risk factor-based care. The Cleerly CAD Staging System incorporates imaging-based evaluation for coronary atherosclerosis, algorithm-supported pharmacotherapy and personalized education about their CAD.