Diagnostic and Prognostic Value of Angiography-derived IMR
NCT ID: NCT04825028
Last Updated: 2021-04-01
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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UNKNOWN
271 participants
OBSERVATIONAL
2021-04-01
2021-10-01
Brief Summary
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Detailed Description
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This study cohorts consist with 3 separate cohort: first, internal diagnostic accuracy cohort, which will evaluate correlation between angiography-derived IMR and hyperemic microvascular resistance calculated using Cadmium-Zinc-Telluride Single-Photon Emission Computed Tomography (CZT-SPECT)-derived myocardial blood flow and invasively measured pressure data. For this, 53 consecutive patients with available CZT-SPECT within 3 months of measuring FFR in the left anterior descending coronary artery will be evaluated. Second: external diagnostic cohort, in which diagnostic accuracy of angiography-derived IMR will be assessed in patients with ischemia and no obstructive coronary artery disease (INOCA) and normal controls, whose results were previously published (J Nucl Cardiol. 2020 Sep 30. doi: 10.1007/s12350-020-02252-8.) Among this cohort, 45 patients with no obstructive CAD and normal CZT-SPECT perfusion imaging will be regarded as normal controls, in 35 INOCA patients, vessels with normal corresponding perfusion territory will be regarded as internal control. Third, prognosis cohort, in which 138 consecutive CAD patients received PCI with available angiograms and who were suitable for angiographic fractional flow reserve and IMR measurement will be analyzed. Primary clinical outcome will be cardiac death or congestive heart failure at 2 years from index procedure. Secondary outcome will be any myocardial infarction, ischemia-driven revascularization, definite or probable stent thrombosis, congestive heart failure admission and angina pectoris admission at 2 years from index procedure.
Conditions
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Study Design
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CASE_CONTROL
RETROSPECTIVE
Study Groups
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Internal Diagnostic Accuracy Cohort
Consecutive patients with available CZT-SPECT within 3 months of measuring FFR in the left anterior descending coronary artery. In these patients, correlation between angiography-derived IMR and hyperemic microvascular resistance will be assessed.
Angiography-drived Index of Microcirculatory Resistance
From coronary angiographic images, angiography-derived IMR will be calculated based on mathematical calculation.
Angiography-derived IMR = (hyperemic Pa x angiography-derived FFR) x (vessel length / {K x V diastole}).
Hyperemic Pa will be estimated from resting Pa according to prespecified equation.
External Diagnostic Accuracy Cohort
Patients are subgroup of previously published study (J Nucl Cardiol. 2020 Sep 30. doi: 10.1007/s12350-020-02252-8.), INOCA patients and normal controls confirmed by CZT-SPECT and angiography will be included for the assessment of angiography-derived IMR in diagnosing microvascular dysfunction.
Angiography-drived Index of Microcirculatory Resistance
From coronary angiographic images, angiography-derived IMR will be calculated based on mathematical calculation.
Angiography-derived IMR = (hyperemic Pa x angiography-derived FFR) x (vessel length / {K x V diastole}).
Hyperemic Pa will be estimated from resting Pa according to prespecified equation.
Prognosis Cohort
Prognosis cohort, in which angiography-derived IMR will be measured in the target vessel after successful revascularization. Those patients have follow-up data after 2 years from index procedure.
Angiography-drived Index of Microcirculatory Resistance
From coronary angiographic images, angiography-derived IMR will be calculated based on mathematical calculation.
Angiography-derived IMR = (hyperemic Pa x angiography-derived FFR) x (vessel length / {K x V diastole}).
Hyperemic Pa will be estimated from resting Pa according to prespecified equation.
Interventions
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Angiography-drived Index of Microcirculatory Resistance
From coronary angiographic images, angiography-derived IMR will be calculated based on mathematical calculation.
Angiography-derived IMR = (hyperemic Pa x angiography-derived FFR) x (vessel length / {K x V diastole}).
Hyperemic Pa will be estimated from resting Pa according to prespecified equation.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* INOCA patients and normal controls confirmed by CZT-SPECT and angiography (Cohort 2)
* Stable CAD patients received PCI (Cohort 3)
* analyzable angiograms at the index procedure
Exclusion Criteria
* Chronic total occlusion patients
* limited image quality of coronary angiography
* Insufficient angiographic project for TIMI frame count
* Severe tortuosity of target vessel
* No optimal projection for reconstruction
19 Years
ALL
No
Sponsors
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Shanghai 10th People's Hospital
OTHER
Shanghai Zhongshan Hospital
OTHER
Responsible Party
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Principal Investigators
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Junbo Ge, Professor
Role: STUDY_CHAIR
Fudan University
Locations
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Shanghai Tenth People's Hospital
Shanghai, , China
Countries
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Central Contacts
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Facility Contacts
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Wenliang Che, MD, PhD
Role: primary
References
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De Maria GL, Scarsini R, Shanmuganathan M, Kotronias RA, Terentes-Printzios D, Borlotti A, Langrish JP, Lucking AJ, Choudhury RP, Kharbanda R, Ferreira VM; Oxford Acute Myocardial Infarction (OXAMI) Study Investigators; Channon KM, Garcia-Garcia HM, Banning AP. Angiography-derived index of microcirculatory resistance as a novel, pressure-wire-free tool to assess coronary microcirculation in ST elevation myocardial infarction. Int J Cardiovasc Imaging. 2020 Aug;36(8):1395-1406. doi: 10.1007/s10554-020-01831-7. Epub 2020 May 14.
Ai H, Feng Y, Gong Y, Zheng B, Jin Q, Zhang HP, Sun F, Li J, Chen Y, Huo Y, Huo Y. Coronary Angiography-Derived Index of Microvascular Resistance. Front Physiol. 2020 Dec 16;11:605356. doi: 10.3389/fphys.2020.605356. eCollection 2020.
Dai N, Che W, Liu L, Zhang W, Yin G, Xu B, Xu Y, Duan S, Yu H, Li C, Yao K, Huang D, Ge J. Diagnostic Value of Angiography-Derived IMR for Coronary Microcirculation and Its Prognostic Implication After PCI. Front Cardiovasc Med. 2021 Oct 15;8:735743. doi: 10.3389/fcvm.2021.735743. eCollection 2021.
Other Identifiers
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ZS-20210328
Identifier Type: -
Identifier Source: org_study_id
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