- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04547231
Impact of Coronary CT Angiography, Physiologic Assessment and Pharmacotherapy on the Clinical Outcomes (PRIME-CT)
March 19, 2021 updated by: Bon-Kwon Koo, Seoul National University Hospital
Impact of Stenosis and Plaque Features in Coronary CT Angiography, Physiologic Assessment and Pharmacotherapy on the Clinical Outcomes After Invasive Coronary Angiography
The investigators aim to investigate the prognostic implication of stenosis and plaque features on coronary CT angiography (CCTA), physiologic assessment, and pharmacotherapy after invasive coronary angiography.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Detailed Description
Stenosis severity, plaque features, and myocardial ischemia have been known as important indicators in diagnosis and prognostication of patients with coronary artery disease.
Invasive physiologic indies such as fractional flow reserve (FFR) are used to define ischemia-causing stenosis in the catheterization laboratory.
FFR represents maximal blood flow to the myocardium supplied by an artery with stenosis as a fraction of normal maximum flow.
The FFR-guided strategy was reported to improve the patients' outcomes in comparison with the angiography-guided strategy.
However, clinical events still occur in patients with FFR >0.80, and invasive therapy did not improve prognosis in patients with moderate to severe ischemia compared to optimal medical therapy in the ISCHEMIA trial.
In the recent report, the prognosis in the vessel with FFR >0.80 was associated with high-risk plaque characteristics on coronary CT angiography (CCTA).
Likewise, incorporation of stenosis and plaque features and myocardial ischemia may provide better risk stratification of patients with coronary artery disease than evaluating each attribute alone.
Recent proposed novel measurement such as pericoronary inflammation or epicardial fat metrics and lesion-specific or vessel-specific hemodynamic parameters derived from CCTA has also been known as a robust prognostic predictor.
In addition, antiplatelet agents and lipid-lowering medication such as aspirin, clopidogrel, or statin are commonly used for primary and secondary prevention of adverse cardiovascular events.
However, the relationship of combination and dosage of those drugs with prevention of plaque progression and clinical outcomes has not been fully understood.
Accordingly, the investigators aim to find the prognostic implications of stenosis and plaque features, fat metrics on CCTA along with physiologic assessment and pharmocotherapy according to the different treatment strategies.
Study Type
Observational
Enrollment (Anticipated)
992
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Select
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Seoul, Select, Korea, Republic of, 03080
- Recruiting
- Seoul National University Hospital
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
20 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
N/A
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Patients with suspected coronary artery disease who underwent CCTA within 90 days before FFR measurement will be included.
If the patients receive PCI after FFR measurement, those with available both preprocedural and postprocedural FFR measurement will be included.
Description
1) Deferral of PCI group
Inclusion Criteria:
- Age ≥ 20 years
- Patients who undergo CCTA within 90 days before FFR measurement by clinical needs
- Patients with a vessel determined to defer revascularization after FFR measurement.
Exclusion Criteria:
- Left ventricular ejection fraction < 35%
- Acute ST-elevation myocardial infarction within 72 hours or previous coronary artery bypass graft surgery
- Abnormal epicardial coronary flow (TIMI flow < 3)
- Failed FFR measurement
- Planned coronary artery bypass graft surgery after diagnostic angiography
- Poor quality of CCTA which is unsuitable for plaque analysis
- Patients with a stent in the target vessel
2) PCI group
Inclusion Criteria:
- Age ≥ 20 years
- Patients who undergo CCTA within 90 days before FFR measurement by clinical needs
Patients with a vessel that undergo stent implantation and FFR measurement both before and after revascularization (pre-PCI FFR and post-PCI FFR).
- Patients with multiple vessels that meet inclusion criteria of the deferral of PCI group and PCI group will be assigned to the PCI group.
Exclusion Criteria:
- Left ventricular ejection fraction < 35%
- Acute ST-elevation myocardial infarction within 72 hours or previous coronary artery bypass graft surgery
- Abnormal epicardial coronary flow (TIMI flow < 3)
- Failed FFR measurement
- Planned coronary artery bypass graft surgery after diagnostic angiography
- Poor quality of CCTA which is unsuitable for plaque analysis
- Patients with a stent in the target vessel
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Deferral of PCI group
Patients with a vessel determined to defer revascularization after FFR measurement who undergo CCTA within 90 days before FFR measurement will be included.
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PCI group
Patients with a vessel that undergo stent implantation and FFR measurement both before and after revascularization (pre-PCI FFR and post-PCI FFR) with available coronary CT angiography within 90 days before FFR measurement will be included.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Adverse cardiovascular event according to stenosis and plaque features (Deferral group).
Time Frame: Upto 2 years after index procedure
|
A composite of cardiac death, vessel-related myocardial infarction (MI), or vessel-related ischemia-driven revascularization.
The target vessel will be defined as the vessel with FFR measurement.
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Upto 2 years after index procedure
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Adverse cardiovascular event according to pre-PCI FFR in vessels with low post-PCI FFR (PCI group).
Time Frame: Upto 2 years after index procedure
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A composite of cardiac death, vessel-related myocardial infarction (MI), or vessel-related ischemia-driven revascularization.
The target vessel will be defined as the vessel with FFR measurement.
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Upto 2 years after index procedure
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Additive prognostic value of stenosis and plaque features on CCTA over FFR in prediction of adverse cardiovascular events (Deferral group).
Time Frame: Upto 2 years after index procedure
|
Comparison of outcome discrimination ability.
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Upto 2 years after index procedure
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Comprehensive risk prediction model by integrating stenosis and plaque features, local hemodynamic parameters (Deferral group).
Time Frame: Upto 2 years after index procedure
|
Risk prediction model using conventional statistics or machine learning.
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Upto 2 years after index procedure
|
Clinical events and plaque and physiologic characteristics by medication history including antiplatelet agents and statin and serum lipid level during follow-up (Deferral group).
Time Frame: Upto 2 years after index procedure
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Changes in lesion characteristics and outcome by medication history.
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Upto 2 years after index procedure
|
Prognostic value of CT-defined pericoronary and epicardial fat metrics (fat attenuation index [FAI], epicardial fat attenuation index [EFAI], and epicardial fat volume [EFV]) (Deferral group).
Time Frame: Upto 2 years after index procedure
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Prognostic implications of fat metrics.
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Upto 2 years after index procedure
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Risk prediction model by stenosis and plaque features, local hemodynamic parameters, and fat metrics and physiologic assessment (delta FFR and FFR) (Deferral group).
Time Frame: Upto 2 years after index procedure
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Risk prediction model using conventional statistics or machine learning.
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Upto 2 years after index procedure
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Risk of adverse cardiovascular events according to pre-PCI FFR (PCI group).
Time Frame: Upto 2 years after index procedure
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Prognostic implications of pre-PCI FFR after PCI.
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Upto 2 years after index procedure
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Prognostic impact of stenosis and plaque features on CCTA, local hemodynamic parameters (PCI group).
Time Frame: Upto 2 years after index procedure
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Prognostic implications of stenosis and plaque features on CCTA after PCI.
|
Upto 2 years after index procedure
|
Comprehensive risk prediction model by integrating stenosis and plaque features on CCTA and physiologic assessment before and after PCI (PCI group).
Time Frame: Upto 2 years after index procedure
|
Risk prediction model using conventional statistics or machine learning.
|
Upto 2 years after index procedure
|
Clinical events and plaque and physiologic characteristics by medication history including antiplatelet agents and statin and serum lipid level during follow-up (PCI group).
Time Frame: Upto 2 years after index procedure
|
Changes in lesion characteristics and outcome by medication history.
|
Upto 2 years after index procedure
|
Prognostic value of CT-defined pericoronary and epicardial fat metrics (FAI, EFAI, EFV) (PCI group).
Time Frame: Upto 2 years after index procedure
|
Prognostic implications of fat metrics.
|
Upto 2 years after index procedure
|
Risk prediction model by stenosis and plaque features, local hemodynamic parameters, and fat metrics and physiologic assessment (delta FFR and FFR) (PCI group).
Time Frame: Upto 2 years after index procedure
|
Risk prediction model using conventional statistics or machine learning.
|
Upto 2 years after index procedure
|
Comparison of risk for future events by comprehensive CCTA analysis and physiologic assessment between the deferral of PCI and PCI group (Whole population).
Time Frame: Upto 2 years after index procedure
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Risk comparison and prediction model using conventional statistics or machine learning.
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Upto 2 years after index procedure
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Relationship among FFR values, CT-derived plaque qualification and quantification, and CT-defined pericoronary and epicardial fat metrics including FAI, EFAI, and EFV (Whole population).
Time Frame: Upto 2 years after index procedure
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Association among CCTA parameters and physiologic indices.
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Upto 2 years after index procedure
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Tonino PA, De Bruyne B, Pijls NH, Siebert U, Ikeno F, van' t Veer M, Klauss V, Manoharan G, Engstrom T, Oldroyd KG, Ver Lee PN, MacCarthy PA, Fearon WF; FAME Study Investigators. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med. 2009 Jan 15;360(3):213-24. doi: 10.1056/NEJMoa0807611.
- Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, Dunning A, DeFrance T, Lansky A, Leipsic J, Min JK. Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study. J Am Coll Cardiol. 2011 Nov 1;58(19):1989-97. doi: 10.1016/j.jacc.2011.06.066.
- Xaplanteris P, Fournier S, Pijls NHJ, Fearon WF, Barbato E, Tonino PAL, Engstrom T, Kaab S, Dambrink JH, Rioufol G, Toth GG, Piroth Z, Witt N, Frobert O, Kala P, Linke A, Jagic N, Mates M, Mavromatis K, Samady H, Irimpen A, Oldroyd K, Campo G, Rothenbuhler M, Juni P, De Bruyne B; FAME 2 Investigators. Five-Year Outcomes with PCI Guided by Fractional Flow Reserve. N Engl J Med. 2018 Jul 19;379(3):250-259. doi: 10.1056/NEJMoa1803538. Epub 2018 May 22.
- Driessen RS, Stuijfzand WJ, Raijmakers PG, Danad I, Min JK, Leipsic JA, Ahmadi A, Narula J, van de Ven PM, Huisman MC, Lammertsma AA, van Rossum AC, van Royen N, Knaapen P. Effect of Plaque Burden and Morphology on Myocardial Blood Flow and Fractional Flow Reserve. J Am Coll Cardiol. 2018 Feb 6;71(5):499-509. doi: 10.1016/j.jacc.2017.11.054.
- Motoyama S, Ito H, Sarai M, Kondo T, Kawai H, Nagahara Y, Harigaya H, Kan S, Anno H, Takahashi H, Naruse H, Ishii J, Hecht H, Shaw LJ, Ozaki Y, Narula J. Plaque Characterization by Coronary Computed Tomography Angiography and the Likelihood of Acute Coronary Events in Mid-Term Follow-Up. J Am Coll Cardiol. 2015 Jul 28;66(4):337-46. doi: 10.1016/j.jacc.2015.05.069.
- Ahmadi A, Leipsic J, Ovrehus KA, Gaur S, Bagiella E, Ko B, Dey D, LaRocca G, Jensen JM, Botker HE, Achenbach S, De Bruyne B, Norgaard BL, Narula J. Lesion-Specific and Vessel-Related Determinants of Fractional Flow Reserve Beyond Coronary Artery Stenosis. JACC Cardiovasc Imaging. 2018 Apr;11(4):521-530. doi: 10.1016/j.jcmg.2017.11.020. Epub 2018 Jan 5.
- Pijls NH, De Bruyne B, Peels K, Van Der Voort PH, Bonnier HJ, Bartunek J Koolen JJ, Koolen JJ. Measurement of fractional flow reserve to assess the functional severity of coronary-artery stenoses. N Engl J Med. 1996 Jun 27;334(26):1703-8. doi: 10.1056/NEJM199606273342604.
- Stone GW, Maehara A, Lansky AJ, de Bruyne B, Cristea E, Mintz GS, Mehran R, McPherson J, Farhat N, Marso SP, Parise H, Templin B, White R, Zhang Z, Serruys PW; PROSPECT Investigators. A prospective natural-history study of coronary atherosclerosis. N Engl J Med. 2011 Jan 20;364(3):226-35. doi: 10.1056/NEJMoa1002358. Erratum In: N Engl J Med. 2011 Nov 24;365(21):2040.
- Hwang D, Lee JM, Yang S, Chang M, Zhang J, Choi KH, Kim CH, Nam CW, Shin ES, Kwak JJ, Doh JH, Hoshino M, Hamaya R, Kanaji Y, Murai T, Zhang JJ, Ye F, Li X, Ge Z, Chen SL, Kakuta T, Koo BK. Role of Post-Stent Physiological Assessment in a Risk Prediction Model After Coronary Stent Implantation. JACC Cardiovasc Interv. 2020 Jul 27;13(14):1639-1650. doi: 10.1016/j.jcin.2020.04.041.
- Lee JM, Choi G, Koo BK, Hwang D, Park J, Zhang J, Kim KJ, Tong Y, Kim HJ, Grady L, Doh JH, Nam CW, Shin ES, Cho YS, Choi SY, Chun EJ, Choi JH, Norgaard BL, Christiansen EH, Niemen K, Otake H, Penicka M, de Bruyne B, Kubo T, Akasaka T, Narula J, Douglas PS, Taylor CA, Kim HS. Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics. JACC Cardiovasc Imaging. 2019 Jun;12(6):1032-1043. doi: 10.1016/j.jcmg.2018.01.023. Epub 2018 Mar 14. Erratum In: JACC Cardiovasc Imaging. 2019 Nov;12(11 Pt 1):2288-2289.
- Lee JM, Koo BK, Shin ES, Nam CW, Doh JH, Hwang D, Park J, Kim KJ, Zhang J, Hu X, Wang J, Ahn C, Ye F, Chen S, Yang J, Chen J, Tanaka N, Yokoi H, Matsuo H, Takashima H, Shiono Y, Akasaka T. Clinical implications of three-vessel fractional flow reserve measurement in patients with coronary artery disease. Eur Heart J. 2018 Mar 14;39(11):945-951. doi: 10.1093/eurheartj/ehx458.
- Maron DJ, Hochman JS, Reynolds HR, Bangalore S, O'Brien SM, Boden WE, Chaitman BR, Senior R, Lopez-Sendon J, Alexander KP, Lopes RD, Shaw LJ, Berger JS, Newman JD, Sidhu MS, Goodman SG, Ruzyllo W, Gosselin G, Maggioni AP, White HD, Bhargava B, Min JK, Mancini GBJ, Berman DS, Picard MH, Kwong RY, Ali ZA, Mark DB, Spertus JA, Krishnan MN, Elghamaz A, Moorthy N, Hueb WA, Demkow M, Mavromatis K, Bockeria O, Peteiro J, Miller TD, Szwed H, Doerr R, Keltai M, Selvanayagam JB, Steg PG, Held C, Kohsaka S, Mavromichalis S, Kirby R, Jeffries NO, Harrell FE Jr, Rockhold FW, Broderick S, Ferguson TB Jr, Williams DO, Harrington RA, Stone GW, Rosenberg Y; ISCHEMIA Research Group. Initial Invasive or Conservative Strategy for Stable Coronary Disease. N Engl J Med. 2020 Apr 9;382(15):1395-1407. doi: 10.1056/NEJMoa1915922. Epub 2020 Mar 30.
- Lee JM, Choi KH, Koo BK, Park J, Kim J, Hwang D, Rhee TM, Kim HY, Jung HW, Kim KJ, Yoshiaki K, Shin ES, Doh JH, Chang HJ, Cho YK, Yoon HJ, Nam CW, Hur SH, Wang J, Chen S, Kuramitsu S, Tanaka N, Matsuo H, Akasaka T. Prognostic Implications of Plaque Characteristics and Stenosis Severity in Patients With Coronary Artery Disease. J Am Coll Cardiol. 2019 May 21;73(19):2413-2424. doi: 10.1016/j.jacc.2019.02.060.
- Gaur S, Ovrehus KA, Dey D, Leipsic J, Botker HE, Jensen JM, Narula J, Ahmadi A, Achenbach S, Ko BS, Christiansen EH, Kaltoft AK, Berman DS, Bezerra H, Lassen JF, Norgaard BL. Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions. Eur Heart J. 2016 Apr 14;37(15):1220-7. doi: 10.1093/eurheartj/ehv690. Epub 2016 Jan 12.
- Oikonomou EK, Marwan M, Desai MY, Mancio J, Alashi A, Hutt Centeno E, Thomas S, Herdman L, Kotanidis CP, Thomas KE, Griffin BP, Flamm SD, Antonopoulos AS, Shirodaria C, Sabharwal N, Deanfield J, Neubauer S, Hopewell JC, Channon KM, Achenbach S, Antoniades C. Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data. Lancet. 2018 Sep 15;392(10151):929-939. doi: 10.1016/S0140-6736(18)31114-0. Epub 2018 Aug 28.
- Hoshino M, Yang S, Sugiyama T, Zhang J, Kanaji Y, Yamaguchi M, Hada M, Sumino Y, Horie T, Nogami K, Ueno H, Misawa T, Usui E, Murai T, Lee T, Yonetsu T, Kakuta T. Peri-coronary inflammation is associated with findings on coronary computed tomography angiography and fractional flow reserve. J Cardiovasc Comput Tomogr. 2020 Nov-Dec;14(6):483-489. doi: 10.1016/j.jcct.2020.02.002. Epub 2020 Feb 6.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
August 12, 2020
Primary Completion (Anticipated)
December 31, 2024
Study Completion (Anticipated)
December 31, 2025
Study Registration Dates
First Submitted
September 7, 2020
First Submitted That Met QC Criteria
September 7, 2020
First Posted (Actual)
September 14, 2020
Study Record Updates
Last Update Posted (Actual)
March 23, 2021
Last Update Submitted That Met QC Criteria
March 19, 2021
Last Verified
March 1, 2021
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- H-2007-201-1144
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
IPD Plan Description
The sharing plan will be decided by the study committee
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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