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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT03609931
Other study ID # 111462
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date July 2018
Est. completion date January 2020

Study information

Verified date July 2018
Source Lawson Health Research Institute
Contact Daniel Bainbridge, MD FRCPC
Phone 5192004235
Email daniel.bainbridge@lhsc.on.ca
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Mitral valve disease is a common pathologic problem occurring in approximately 2% of the general population but climbing to 10% in those over the age of 75 in Canada[1]. This project has three primary goals all of which will positively affect cardiac patient care.

1) Create patient specific MV models for complex repairs that will allow surgeons the opportunity to practice the repair. 2) Potentially predict the outcomes following minimally invasive repair techniques such as transcatheter treatments (e.g., MitraClip). 3) Provide a model to train individuals on mitral valve repair techniques.


Description:

BACKGROUND Mitral valve disease is a common pathologic problem occurring in approximately 2% of the general population, but climbing to 10% in those over the age of 75 in Canada. Of this group, approximately 20% have a sufficiently severe form of the disease that may require surgical intervention to restore normal valve function and prevent early mortality [4]. Evidence indicates that the surgeon's individual volume of mitral valve repair cases performed is a determinant of not only successful mitral repair rates, but also freedom from reoperation, and patient survival. For patients previously deemed inoperable due to co-morbidities, new techniques to treat mitral valve disease are being developed. However, assessing the optimal approach and the point at which clinical benefit is exceeded by the poor value or futility of the procedure is one of the biggest clinical challenges for physicians.

In the past decade, 3D echocardiography has emerged as a standard of care in diagnostic and interventional imaging for cardiac surgery and cardiology. This, coupled with the emergence of inexpensive 3D printing technology has led researchers and clinicians to explore how improved imaging and additive manufacturing can be used to improve patient outcomes.

In this context, the investigators have completed a proof-of-concept workflow for creating dynamic, patient specific mitral valve models. In concert with a left ventricle simulator 8], these valve models can mimic patient valve pathologies both anatomically and dynamically, as shown in Doppler ultrasound. In a 10 patient retrospective study, the investigators have demonstrated the ability to accurately re-create patient pathology, perform realistic surgical repairs, and assess realistic valve function post repair. The study team's vision is to create a simulator that can be used to assess patient candidacy for percutaneous interventions, assess different repair options for both percutaneous and surgical interventions, and finally use the model as a simulator for competency-based MV interventions.

RATIONALE Based on our successful proof of concept, the goal is to translate this technology to clinical use by validating our valve models. There are two primary long term goals. First, to validate a system for using patient specific MV models to: 1- assess intervention options, and 2: plan repair strategies for improved patient outcomes. Second, by building a database of MV pathologies, create a competency based simulator/trainer to provide surgeons with increased experience in MV repair techniques.

OBJECTIVES

1. Validate the accuracy of patient specific MV pathologies and repairs in a prospective 65 patient study;

2. Optimize our work-flow for creating valve models, in terms of accuracy, manufacture time required, and expense;

3. Validate the accuracy of our patient models for both surgical cases and transcatheter MitraClip interventions;


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 65
Est. completion date January 2020
Est. primary completion date August 2019
Accepts healthy volunteers
Gender All
Age group 18 Years to 80 Years
Eligibility Inclusion Criteria:

- Patients undergo mitral valve repair with either surgery of MitraClip techniques

- Over 18 years old

Exclusion Criteria:

- Unable to place TEE probe

- Refuse consent

Study Design


Intervention

Procedure:
Mitral Valve Model
Creation of a mitral valve patient specific model to see if it mimics the patients valve

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
Lawson Health Research Institute

References & Publications (1)

Ginty O, Moore J, Peters T, Bainbridge D. Modeling Patient-Specific Deformable Mitral Valves. J Cardiothorac Vasc Anesth. 2018 Jun;32(3):1368-1373. doi: 10.1053/j.jvca.2017.09.005. Epub 2017 Sep 7. Review. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary MR following patient/model repair The degree and location of residual MR following mitral repair surgery Creation and assessment of the model within 1 week before or after surgery/intervention on the patient.
Secondary 2D measurements of the mitral valve: Anterolateral-Posteromedial Diameter A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary 2D measurements of the mitral valve:Annular Height A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary 2D measurements of the mitral valve: Annular 3D Circumference A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary 2D measurements of the mitral valve:Annular 2D Area A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary 2D measurements of the mitral valve: Annular Ellipticity A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary 2D measurements of the mitral valve: Anterior Leaflet 3D Area A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary 2D measurements of the mitral valve: Posterior Leaflet 3D Area A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary 2D measurements of the mitral valve: Leaflet 3D Area A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary 2D measurements of the mitral valve: Mitral Regurgitation Orifice Area A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary 2D measurements of the mitral valve: Tenting Volume A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary 2D measurements of the mitral valve: Nonplanar Angle A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary 2D measurements of the mitral valve: tenting Height. A 2D measurements taken from the echocardiography images of the mitral valve and model Assessment of model within 1 week of surgical or interventional repair on the patient
Secondary ICU LOS length of stay in the ICU Postoperative period until ICU discharge (expected mean of 1 days)]
Secondary Hospital LOS Length of stay in hospital Postoperative period until hospital discharge (expected mean of 5 days)
Secondary Delirium Delirium in hospital Postoperative period until hospital discharge (expected mean of 5 days)
Secondary Renal failure requiring dialysis Dialysis Postoperative period until hospital discharge (expected mean of 5 days)
Secondary Stroke,TIA Diagnosis of stroke Postoperative period until hospital discharge (expected mean of 5 days)
Secondary Death in Hospital Death Postoperative period until hospital discharge (expected mean of 5 days)
Secondary Reoperation for Bleeding Return to the operating room for re-exploration of the surgical procedure due to excess blood loss in the ICU Postoperative period until hospital discharge (expected mean of 5 days)
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