Flow Patterns and Stent Thrombosis

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorQueen Mary University of London

About this trial

The goal of this observational study is to study the effect of haemodynamic forces on thrombus formation and identify haemodynamic markers that predict stent thrombosis events in patients who have undergone OCT-guided percutaneous coronary interventions.

The primary objective of the study is to examine the efficacy of blood flow patterns in predicting stent thrombosis. Researchers will compare the blood flow patterns of the stent thrombosis group with that of the control group to understand the influence of blood flow patterns on thrombus formation and progression.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Patients undergone OCT-guided percutaneous coronary intervention and implanted with a second-generation drug-eluting stent

Patients who have suffered thrombosis post-stent implantation

Disqualifiers

None

Trial population

A total of 120 patients who have undergone OCT-guided percutaneous coronary intervention and implanted with a second-generation drug-eluting stent

Trial design

Design model

Cohort

Time perspective

Retrospective

Treatments tested in this trial

Not listed

Trial groups

120 Participants
are grouped into 2 trial groups
Group A: Stent thrombosis group
Group B: Control group

Trial outcomes

Primary outcomes

1

Haemodynamic shear stress and shear rate

The haemodynamic shear rate and shear rate will be calculated by performing CFD simulations on reconstructed geometries obtained from the percutaneous coronary interventions of the patients. The efficacy of the haemodynamic shear stress and shear rate in predicting stent thrombosis will be studied.

Time frame
1.5 years

Secondary outcomes

1

OCT based stented segment reconstruction

To develop a methodology for the reconstruction of stented segments from OCT and angiographic data that relies on the separate modelling of the lumen and stent architecture and fusion of these geometries in a final model

Time frame
3 months
2

Validation of the proposed reconstruction methodology

To validate in vivo and in-bench studies, the accuracy of the developed reconstruction method.

Time frame
4 months
3

Development of automated frame work for reconstruction of stented segments

To design a user-friendly platform incorporating the new method to fast and accurately reconstruct vessels stented with different stent types.

Time frame
6 months

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Queen Mary University of London

Lead sponsor

Barts Helth NHS Trust

Collaborator

Oxford University Hospitals NHS Trust

Collaborator

Royal Free Hospital NHS Foundation Trust

Collaborator

University Hospitals Bristol and Weston NHS Foundation Trust

Collaborator

Mid and South Essex NHS Foundation Trust

Collaborator

Newcastle-upon-Tyne Hospitals NHS Trust

Collaborator

Liverpool Heart and Chest Hospital NHS Foundation Trust

Collaborator

Manchester University NHS Foundation Trust

Collaborator

King's College Hospital NHS Trust

Collaborator

San Giovanni Addolorata Hospital

Collaborator

Medstar Health Research Institute

Collaborator

Medical University of Warsaw

Collaborator

Insel Gruppe AG, University Hospital Bern

Collaborator

Hospital San Carlos, Madrid

Collaborator

The Leeds Teaching Hospitals NHS Trust

Collaborator

McMaster University Health Sciences Centre

Collaborator

Fujita Health University

Collaborator

Harbin Medical University

Collaborator

Yale University

Collaborator

Fundación de Investigación Biomédica - Hospital Universitario de La Princesa

Collaborator

Erasmus Medical Center

Collaborator

Radbound University Medical Center

Collaborator

Department of Cardiovascular Surgery, German Heart Center Munich

Collaborator

Columbia University

Collaborator

The Queen Elizabeth Hospital

Collaborator

Yonsei University Hospital, Seoul, South Korea

Collaborator

Nara Medical University

Collaborator

Shinshu University School of Medicine

Collaborator

University Hospitals Sussex NHS Foundation Trust

Collaborator

Galeazzi Sant'Ambrogio Hospital - Milan

Collaborator

CORRIB Core Lab, University of Galway

Collaborator