Impact of Coronary CT Angiography, Physiologic Assessment and Pharmacotherapy on the Clinical Outcomes

Coronary Artery Disease Clinical Trial

— PRIME-CT  

Official title:

Impact of Stenosis and Plaque Features in Coronary CT Angiography, Physiologic Assessment and Pharmacotherapy on the Clinical Outcomes After Invasive Coronary Angiography

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT04547231
• Other study ID #: H-2007-201-1144
• Status: Recruiting
• Start date: August 12, 2020
• Est. completion date: December 31, 2025

Study information

• Verified date: March 2021
• Source: Seoul National University Hospital
• Contact: Bon-Kwon Koo, MD, PhD
• Phone: +82-1033561869
• Email: bkkoo[@]snu.ac.kr
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

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.

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.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 992
• Est. completion date: December 31, 2025
• Est. primary completion date: December 31, 2024
• Gender: All
• Age group: 20 Years and older

Eligibility

1) Deferral of PCI group

Inclusion Criteria:

1. Age = 20 years

2. Patients who undergo CCTA within 90 days before FFR measurement by clinical needs

3. Patients with a vessel determined to defer revascularization after FFR measurement.

Exclusion Criteria:

1. Left ventricular ejection fraction < 35%

2. Acute ST-elevation myocardial infarction within 72 hours or previous coronary artery bypass graft surgery

3. Abnormal epicardial coronary flow (TIMI flow < 3)

4. Failed FFR measurement

5. Planned coronary artery bypass graft surgery after diagnostic angiography

6. Poor quality of CCTA which is unsuitable for plaque analysis

7. Patients with a stent in the target vessel 2) PCI group

Inclusion Criteria:

1. Age = 20 years

2. Patients who undergo CCTA within 90 days before FFR measurement by clinical needs

3. 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:

1. Left ventricular ejection fraction < 35%

2. Acute ST-elevation myocardial infarction within 72 hours or previous coronary artery bypass graft surgery

3. Abnormal epicardial coronary flow (TIMI flow < 3)

4. Failed FFR measurement

5. Planned coronary artery bypass graft surgery after diagnostic angiography

6. Poor quality of CCTA which is unsuitable for plaque analysis

7. Patients with a stent in the target vessel

Related Conditions & MeSH terms

• Coronary Artery Disease
• Coronary Disease
• Myocardial Ischemia

Intervention

Diagnostic Test:
• Fractional flow reserve, Coronary CT angiography
Coronary CT angiography (CCTA) and measurement of fractional flow reserve (FFR) will be performed as part of routine clinical practice. The decision to perform CCTA before invasive angiography was at the judgment of the physicians in charge. Physiologic assessment includes delta FFR (lesion-specific) and FFR (vessel-specific) measurement. Delta FFR is defined as a pressure step up across the lesion. Coronary angiography and physiologic assessment will be analyzed by an independent core laboratory (Seoul National University Hospital, Clinical Trial Center, Seoul, South Korea). Stenosis and plaque features on CCTA will be analyzed by an independent CCTA core laboratory (Severance Cardiovascular Hospital, Seoul, Korea), and pericoronary and epicardial fat metrics (fat attenuation index, epicardial fat attenuation index, epicardial fat volume, etc.) will be obtained by an independent cardiac CT fat core laboratory (Tsuchiura Kyodo general hospital, Ibaraki, Japan).

Locations

Country	Name	City	State
Korea, Republic of	Seoul National University Hospital	Seoul	Select

Sponsors (14)

Lead Sponsor

Collaborator

Seoul National University Hospital

Chosun University Hospital, Dong-A ST Co., Ltd., Dong-A University Hospital, Gachon University Gil Medical Center, Incheon St.Mary's Hospital, Inje University, Keimyung University Dongsan Medical Center, Sejong Hospital, Seoul National University Bundang Hospital, The Second Affiliated Hospital Zhejiang University, Tsuchiura Kyodo General Hospital, Ulsan Hospital, Wonju Severance Christian Hospital

Country where clinical trial is conducted

Korea, Republic of, 

References & Publications (16)

Ahmadi A, Leipsic J, Øvrehus KA, Gaur S, Bagiella E, Ko B, Dey D, LaRocca G, Jensen JM, Bøtker HE, Achenbach S, De Bruyne B, Nørgaard 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. — View Citation

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. — View Citation

Gaur S, Øvrehus KA, Dey D, Leipsic J, Bøtker HE, Jensen JM, Narula J, Ahmadi A, Achenbach S, Ko BS, Christiansen EH, Kaltoft AK, Berman DS, Bezerra H, Lassen JF, Nørgaard 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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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, Nørgaard 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. — View Citation

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. — View Citation

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. — View Citation

Maron DJ, Hochman JS, Reynolds HR, Bangalore S, O'Brien SM, Boden WE, Chaitman BR, Senior R, López-Sendón 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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

Tonino PA, De Bruyne B, Pijls NH, Siebert U, Ikeno F, van' t Veer M, Klauss V, Manoharan G, Engstrøm 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. — View Citation

Xaplanteris P, Fournier S, Pijls NHJ, Fearon WF, Barbato E, Tonino PAL, Engstrøm T, Kääb S, Dambrink JH, Rioufol G, Toth GG, Piroth Z, Witt N, Fröbert O, Kala P, Linke A, Jagic N, Mates M, Mavromatis K, Samady H, Irimpen A, Oldroyd K, Campo G, Rothenbühler M, Jüni 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. — View Citation

* Note: There are 16 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Adverse cardiovascular event according to stenosis and plaque features (Deferral group).	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.	Upto 2 years after index procedure
Primary	Adverse cardiovascular event according to pre-PCI FFR in vessels with low post-PCI FFR (PCI group).	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.	Upto 2 years after index procedure
Secondary	Additive prognostic value of stenosis and plaque features on CCTA over FFR in prediction of adverse cardiovascular events (Deferral group).	Comparison of outcome discrimination ability.	Upto 2 years after index procedure
Secondary	Comprehensive risk prediction model by integrating stenosis and plaque features, local hemodynamic parameters (Deferral group).	Risk prediction model using conventional statistics or machine learning.	Upto 2 years after index procedure
Secondary	Clinical events and plaque and physiologic characteristics by medication history including antiplatelet agents and statin and serum lipid level during follow-up (Deferral group).	Changes in lesion characteristics and outcome by medication history.	Upto 2 years after index procedure
Secondary	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).	Prognostic implications of fat metrics.	Upto 2 years after index procedure
Secondary	Risk prediction model by stenosis and plaque features, local hemodynamic parameters, and fat metrics and physiologic assessment (delta FFR and FFR) (Deferral group).	Risk prediction model using conventional statistics or machine learning.	Upto 2 years after index procedure
Secondary	Risk of adverse cardiovascular events according to pre-PCI FFR (PCI group).	Prognostic implications of pre-PCI FFR after PCI.	Upto 2 years after index procedure
Secondary	Prognostic impact of stenosis and plaque features on CCTA, local hemodynamic parameters (PCI group).	Prognostic implications of stenosis and plaque features on CCTA after PCI.	Upto 2 years after index procedure
Secondary	Comprehensive risk prediction model by integrating stenosis and plaque features on CCTA and physiologic assessment before and after PCI (PCI group).	Risk prediction model using conventional statistics or machine learning.	Upto 2 years after index procedure
Secondary	Clinical events and plaque and physiologic characteristics by medication history including antiplatelet agents and statin and serum lipid level during follow-up (PCI group).	Changes in lesion characteristics and outcome by medication history.	Upto 2 years after index procedure
Secondary	Prognostic value of CT-defined pericoronary and epicardial fat metrics (FAI, EFAI, EFV) (PCI group).	Prognostic implications of fat metrics.	Upto 2 years after index procedure
Secondary	Risk prediction model by stenosis and plaque features, local hemodynamic parameters, and fat metrics and physiologic assessment (delta FFR and FFR) (PCI group).	Risk prediction model using conventional statistics or machine learning.	Upto 2 years after index procedure
Secondary	Comparison of risk for future events by comprehensive CCTA analysis and physiologic assessment between the deferral of PCI and PCI group (Whole population).	Risk comparison and prediction model using conventional statistics or machine learning.	Upto 2 years after index procedure
Secondary	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).	Association among CCTA parameters and physiologic indices.	Upto 2 years after index procedure