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Completed

NCT Number: NCT04304677

Automated Algorithm Detecting Physiologic Major Stenosis and Its Relationship With Post-PCI Clinical Outcomes

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.

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Key information

Conditions

Ischemic Heart Disease Cardiovascular Diseases Heart Diseases Myocardial Ischemia Vascular Diseases

Age range

20 year–85 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Samsung Medical Center

Seoul, South Korea

About this study

The current study cohort consisted with 3 cohort. In order to derive and validate the optimal cut-off values of FFR step-up amount for physiologic major vs minor stenosis and for physiologic minor stenosis vs. signal noise, the below 3 cohorts will be used.

  • Derivation cohort of defining the optimal cut off value of FFR step-up amount for physiologic major vs minor stenosis and for physiologic minor stenosis vs. signal noise.

The cohort of no coronary atherosclerosis confirmed by both angiography and intravascular ultrasound will be derived from patients with heart transplantation (NCT02798731).

The cohort of significant focal or diffuse obstructive coronary artery disease with functional significance defined by FFR<=0.80 will be derived from post-PCI registry of Samsung Medical Center.

  • Internal validation cohort will be post-PCI registry of Samsung Medical Center which enrolled 236 patients who underwent both pre- and post-PCI physiologic assessment after angiographically successful PCI using 2nd generation drug-eluting stent. Among this cohort, 234 patients with available pre-PCI pullback recording will be analyzed.
  • External validation cohort will be COE-PERSPECTIVE registry (NCT01873560) which enrolled patients who underwent PCI for lesions with FFR<=0.80 and underwent post-PCI physiologic assessment.

Among the 835 patients, 252 patients with available pre-PCI pullback recording will be analyzed.

For the association between physiologic major, minor, or mixed stenosis classified using the optimal cut-off values of FFR step-up amount for physiologic major vs minor stenosis and for physiologic minor stenosis vs. signal noise, the patient level pooled data of both Samsung Medical Center registry and COE-PERSPECTIVE registry will be used.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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

Exclusion criteria

  • 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

Treatment and study plan

Percutaneous coronary intervention

Device
  • Pre-PCI FFR pullback recording was done with conventional system
  • Automated algorithm to calculate delta FFR per unit time was developed
  • PCI was performed using 2nd generation DES

Other names: Fractional flow reserve

Primary outcomes

  1. Percent FFR increase after PCI

    Time frame: Immediate post-PCI

    ([Post-PCI FFR - Pre-PCI FFR]/Pre-PCI FFR * 100)

  2. Post-PCI FFR

    Time frame: Immediate post-PCI

    FFR value measured after angiographically successful PCI

Secondary outcomes

  1. Target Vessel Failure

    Time frame: 2 years after index procedure

    a composite of cardiac death, clinically-driven target vessel-related myocardial infarction, and clinically-driven target vessel revascularization. The target vessel will be defined as the treated vessel with 2nd generation DES which was assessed by post stent fractional flow reserve.

Sponsors and collaborators

Lead sponsor

Samsung Medical Center

Other

Collaborators

  • Inje University Ilsan Paik Hospital
  • Keimyung University Dongsan Medical Center
  • Sejong General Hospital
  • Seoul National University Hospital
  • Ulsan University Hospital

Registry information

Official study title

Development of Automated Algorithm Detecting Physiologic Major Stenosis and Its Relationship With Post-PCI Clinical Outcomes (Algorithm-PCI)

Acronym: Algorithm-PCI

Important dates

Study start
2016
Primary completion
2022
Study completion
2022
First posted
Mar 11, 2020
Registry last updated
Oct 26, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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