Automated Algorithm Detecting Physiologic Major Stenosis and Its Relationship With Post-PCI Clinical Outcomes
Algorithm-PCI
Development of Automated Algorithm Detecting Physiologic Major Stenosis and Its Relationship With Post-PCI Clinical Outcomes (Algorithm-PCI)
1 other identifier
observational
486
1 country
1
Brief Summary
The presence of myocardial ischemia is the most important prognostic indicator in patients with coronary artery disease. Therefore, the purpose of percutaneous coronary intervention (PCI) is to relieve myocardial ischemia caused by the target stenosis. Fractional flow reserve (FFR) is an invasive physiologic index used to define functionally significant coronary stenosis, and its prognostic implications are supported by numerous studies. Contrary to the clear cutoff value and the benefit of FFR in pre-PCI evaluation, there have been various results regarding optimal cut-off values for post-PCI FFR. Nevertheless, the positive association between post-PCI FFR and the risk of future events has been reproduced by several studies. PCI with stent implantation is basically a local treatment and post-PCI FFR reflects both residual stenosis in the stented segment and remaining disease beyond the stented segment in the target vessel(s). Therefore, post-PCI FFR alone cannot fully discriminate the degree of contribution of each component. The relative increase of FFR with PCI is determined by the interaction of baseline severity of a target lesion, baseline disease burden of a target vessel, adequacy of PCI and residual disease burden in a target vessel. However, the most important problem in stratifying patients with better expected post-PCI physiologic results and following clinical outcome would be that there has been no clear method to identify these patients in pre-PCI phase. In this regard, we hypothesized that the amount of FFR step-up in pre-PCI pullback recording would determine the physiologic nature of target stenosis. For example, stenosis with sufficient step-up of FFR would deserve local treatment with PCI and these lesions would result in higher percent FFR increase, post-PCI FFR, and better clinical outcome than those without sufficient amount of FFR step-up. For this, we sought to develop automated algorithm to define physiologic major stenosis versus minor stenosis using pre-PCI pullback recording.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Mar 2016
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 22, 2016
CompletedFirst Submitted
Initial submission to the registry
March 9, 2020
CompletedFirst Posted
Study publicly available on registry
March 11, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
October 1, 2022
CompletedOctober 26, 2022
October 1, 2022
6.5 years
March 9, 2020
October 24, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Percent FFR increase after PCI
(\[Post-PCI FFR - Pre-PCI FFR\]/Pre-PCI FFR \* 100)
Immediate post-PCI
Post-PCI FFR
FFR value measured after angiographically successful PCI
Immediate post-PCI
Secondary Outcomes (1)
Target Vessel Failure
2 years after index procedure
Study Arms (1)
Pre PCI state
The current study will analyze the pre-PCI pullback recording and amount of FFR step-up. The association of the amount of FFR step-up with post-PCI percent FFR increase, post-PCI FFR, and clinical outcome at 2 years will be analyzed
Interventions
1. Pre-PCI FFR pullback recording was done with conventional system 2. Automated algorithm to calculate delta FFR per unit time was developed 3. PCI was performed using 2nd generation DES
Eligibility Criteria
Patients who diagnosed obstructive coronary artery disease and evaluated by pre-PCI FFR measurement and pullback recording, then treated by DES with invasive physiologic evaluation at the index procedure.
You may qualify if:
- any patient meets eligible criteria who underwent PCI with DES followed by invasive physiologic assessment at the index procedure
- any patient who underwent PCI for lesions with pre-PCI FFR\<=0.80
- available pre-PCI FFR pullback recording
- available both post-PCI FFR measurement
You may not qualify if:
- unavailable pre-PCI FFR pullback recording
- unavailable post-PCI FFR measurement
- culprit vessel of acute coronary syndrome
- failed achieving TIMI 3 flow at the end of PCI
- left ventricular ejection fraction \<30%
- graft vessel
- collateral feeder
- in-stent restenosis
- primary myocardial or valvular heart disease
- in patient whose life expectancy less than 2 years
- visible thrombus of target vessel segment
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Samsung Medical Centerlead
- Inje University Ilsan Paik Hospitalcollaborator
- Keimyung University Dongsan Medical Centercollaborator
- Ulsan University Hospitalcollaborator
- Sejong General Hospitalcollaborator
- Seoul National University Hospitalcollaborator
Study Sites (1)
Samsung Medical Center
Seoul, South Korea
Related Publications (2)
Shin D, Dai N, Lee SH, Choi KH, Lefieux A, Molony D, Hwang D, Kim HK, Jeon KH, Lee HJ, Jang HJ, Ha SJ, Park TK, Yang JH, Song YB, Hahn JY, Choi SH, Doh JH, Shin ES, Nam CW, Koo BK, Gwon HC, Ge J, Lee JM. Physiological Distribution and Local Severity of Coronary Artery Disease and Outcomes After Percutaneous Coronary Intervention. JACC Cardiovasc Interv. 2021 Aug 23;14(16):1771-1785. doi: 10.1016/j.jcin.2021.06.013.
PMID: 34412795DERIVEDLee SH, Shin D, Lee JM, Lefieux A, Molony D, Choi KH, Hwang D, Lee HJ, Jang HJ, Kim HK, Ha SJ, Kwak JJ, Park TK, Yang JH, Song YB, Hahn JY, Doh JH, Shin ES, Nam CW, Koo BK, Choi SH, Gwon HC. Automated Algorithm Using Pre-Intervention Fractional Flow Reserve Pullback Curve to Predict Post-Intervention Physiological Results. JACC Cardiovasc Interv. 2020 Nov 23;13(22):2670-2684. doi: 10.1016/j.jcin.2020.06.062. Epub 2020 Oct 14.
PMID: 33069650DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Target Duration
- 2 Years
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
March 9, 2020
First Posted
March 11, 2020
Study Start
March 22, 2016
Primary Completion
October 1, 2022
Study Completion
October 1, 2022
Last Updated
October 26, 2022
Record last verified: 2022-10