- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05592535
Outcomes With Fractional Flow Reserve in Chronic Coronary Syndrome
October 20, 2022 updated by: Uppsala University
Prognostic Impact of Fractional Flow Reserve in Chronic Coronary Syndrome: Quasi-Experimental Findings Using a Regression Discontinuity Design
The use of fractional flow reserve (FFR) to assess the functional relevance of coronary stenoses has been demonstrated to reduce the risk urgent revascularization in chronic coronary syndrome patients.[1]
The goal of this study is to assess whether the utility of using FFR during percutaneous coronary intervention (PCI) in chronic coronary syndrome patients is confirmed in a real-life scenario.
This study will implement a regression discontinuity design (RDD).
RDD is a quasi-experimental study design able to provide robust findings on causality using observational data.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
All patients in this study were included in the Swedish Coronary Angiography and Angioplasty Registry (SCAAR), a sub-registry of SWEDEHEART.
[2] Data regarding FFR assessments are documented in SCAAR in terms of FFR values and coronary segments investigated with FFR.
The use of FFR during PCI is left at the discretion of the operator.
Since a nondeterministic assignment to revascularization is expected at the cut-off, a fuzzy RDD design will be used in the analyses.
Moreover, FFR values equal to 0.80 (at the cut-off) will be excluded from the analysis since treatment assignment exactly at the cut-off may substantially vary across operators and this may create distortions in the treatment discontinuity.
Local linear regression estimates with Kernel triangulation and asymmetric bandwidth selection will be used in the analysis.
Bandwidth selection will be based on a fully data-driven approach that minimizes the bias-variance trade-off.[3]
Estimates from RDD will be presented as risk differences [RD] complemented by 95% robust confidence intervals.[4]
Study Type
Observational
Enrollment (Actual)
5000
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Patients with chronic coronary syndrome undergoing coronary angiography and FFR measurement in Sweden.
Description
Inclusion Criteria:
- Chronic coronary syndrome undergoing coronary angiography and FFR measurement
- Swedish personal identification number
Exclusion Criteria:
- previous coronary artery bypass grafting
- left main disease or undergoing FFR/PCI of left main
- IVUS/OCT use
- diffuse disease (≥ 2 segments treated in a same vessel investigated with FFR, ≥ 2 segments investigated with FFR in a same vessel)
- PCI in a distal segment with respect to FFR measurements
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Retrospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
FFR below 0.80
Patients with significant coronary hyperemic gradient
|
Coronary revascularization performed by PCI in a vessel investigated with FFR or indication for surgery
|
|
FFR above 0.80
Patients without significant coronary hyperemic gradient
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Risk difference (%) for the composite of all-cause death and FFR-oriented target vessel revascularization by PCI
Time Frame: Up to one year following index FFR measurement
|
Up to one year following index FFR measurement
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Risk difference (%) for the composite of all-cause death, FFR-oriented target vessel revascularization by PCI and hospitalization for acute myocardial infarction
Time Frame: Up to one year following index FFR measurement
|
Up to one year following index FFR measurement
|
|
Risk difference (%) for the composite of all-cause death and new hospitalization for acute myocardial infarction
Time Frame: Up to one year following index FFR measurement
|
Up to one year following index FFR measurement
|
|
Risk differences (%) for the individual components of the composite outcome measures
Time Frame: Up to one year following index FFR measurement
|
Up to one year following index FFR measurement
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- De Bruyne B, Pijls NH, Kalesan B, Barbato E, Tonino PA, Piroth Z, Jagic N, Mobius-Winkler S, Rioufol G, Witt N, Kala P, MacCarthy P, Engstrom T, Oldroyd KG, Mavromatis K, Manoharan G, Verlee P, Frobert O, Curzen N, Johnson JB, Juni P, Fearon WF; FAME 2 Trial Investigators. Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. N Engl J Med. 2012 Sep 13;367(11):991-1001. doi: 10.1056/NEJMoa1205361. Epub 2012 Aug 27. Erratum In: N Engl J Med. 2012 Nov;367(18):1768. Mobius-Winckler, Sven [corrected to Mobius-Winkler, Sven].
- Jernberg T, Attebring MF, Hambraeus K, Ivert T, James S, Jeppsson A, Lagerqvist B, Lindahl B, Stenestrand U, Wallentin L. The Swedish Web-system for enhancement and development of evidence-based care in heart disease evaluated according to recommended therapies (SWEDEHEART). Heart. 2010 Oct;96(20):1617-21. doi: 10.1136/hrt.2010.198804. Epub 2010 Aug 27.
- Calonico S, Cattaneo MD, Farrell MH. Optimal bandwidth choice for robust bias corrected inference in regression discontinuity designs. Econom J. 2020;23(2):192-210.
- Calonico S, Cattaneo MD, Titiunik R. Robust nonparametric confidence intervals for regression-discontinuity designs. Econometrica. 2014;82(6):2295-2326.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
June 1, 2015
Primary Completion (Actual)
June 1, 2020
Study Completion (Actual)
June 1, 2020
Study Registration Dates
First Submitted
October 17, 2022
First Submitted That Met QC Criteria
October 20, 2022
First Posted (Actual)
October 24, 2022
Study Record Updates
Last Update Posted (Actual)
October 24, 2022
Last Update Submitted That Met QC Criteria
October 20, 2022
Last Verified
October 1, 2022
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 1 (Mobile Health and Wellness Program)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
No
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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