NCT04304677

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
486

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Mar 2016

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
completed

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

Completed
4 years until next milestone

First Submitted

Initial submission to the registry

March 9, 2020

Completed
2 days until next milestone

First Posted

Study publicly available on registry

March 11, 2020

Completed
2.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2022

Completed
Last Updated

October 26, 2022

Status Verified

October 1, 2022

Enrollment Period

6.5 years

First QC Date

March 9, 2020

Last Update Submit

October 24, 2022

Conditions

Keywords

fractional flow reservedelta FFR per unit timepercutaneous coronary interventionprognosis

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

Device: Percutaneous coronary intervention

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

Also known as: Fractional flow reserve
Pre PCI state

Eligibility Criteria

Age20 Years - 85 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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

Study Sites (1)

Samsung Medical Center

Seoul, South Korea

Location

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.

  • Lee 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.

MeSH Terms

Conditions

Myocardial Ischemia

Interventions

Percutaneous Coronary Intervention

Condition Hierarchy (Ancestors)

Heart DiseasesCardiovascular DiseasesVascular Diseases

Intervention Hierarchy (Ancestors)

Endovascular ProceduresVascular Surgical ProceduresCardiovascular Surgical ProceduresSurgical Procedures, OperativeMinimally Invasive Surgical Procedures

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

Locations