- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03891160
Implementing Models for Mechanical Circulatory Support Presurgical Assessment in Congenital Heart Disease Treatment (IMMPACT)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Congenital heart disease (CHD) remains the most common type of major congenital malformation and the leading cause of mortality from birth defects [1-4]. Advances in effective treatment for these lesions have significantly extended the lifespan of affected patients, especially for the most complex subtypes of disease. However, these patients are at higher risk of heart failure (HF) secondary to longer life expectancy. This includes patients with a systemic right ventricle and a single ventricle circulation palliated by a Fontan procedure [5, 6]. HF has been documented in up to 30% of patients with a systemic right ventricle and 40% of patients who have had a Fontan procedure [7].
Ventricular assist devices (VAD) are implanted in patients with HF to improve cardiac output and prolong life. They remain underutilized in patients with CHD and HF in part due to the highly variable anatomy in this population. This is true despite outcomes having been shown to be the same for VAD placement in patients with and without CHD [8-10]. In the absence of VAD placement, however, wait list mortality for patients with CHD is higher than for those patients without CHD [11, 12].
Advances in imaging techniques have allowed early diagnosis of CHD as well as anatomic assessment prior to surgical procedures. Given the significant yet often subtle anatomic differences between CHD patients, it is a substantial challenge to thoroughly depict all of the components of a complex patient's cardiac anatomy in a two dimensional imaging dataset. An innovative technology that is being used with more enthusiasm in the medical field, is three-dimensional (3D) printing. Our research team has previously reported on the best technique that should be used to create 3D printed cardiac models from MRI and the subtypes of complex CHD's for which 3D printing should be utilized [13-16]. 3D printing allows creation of patient specific physical anatomic models from a patient's own imaging data. These models provide a physical guide to patient-specific anatomic features that often make VAD and cannula placement challenging in patients with CHD [17]. Factors such as complex cardiac anatomic malformations, heavy trabeculations or a severely dilated ventricle can distort the usual anatomic landmarks used to identify the best position for cannula placement. Our primary goal is to establish the utility of this advanced imaging technique, which provides a much more comprehensive understanding of complex congenital cardiac anatomy. We hypothesize that 3D printed models will allow more informed preoperative planning with a clearer understanding of the best site for inflow and outflow cannula and VAD placement leading to better surgical preparedness, less operating room time and improved patient outcomes.
AIM 1: To assess if a 3D printed cardiac model improves perceived visualization of VAD and cannula placement sites in CHD-HF patients as compared to 2D imaging. We will prospectively enroll CHD-HF patients at multiple centers and randomize to Group A (3D printed models will be used for pre-VAD planning) or Group B (no model-controls). For both Groups, all of the cardiothoracic surgeons at the participating center will complete a questionnaire after reviewing 2D imaging data. For Group A, a survey will also be administered after reviewing a patient specific 3D model. Our primary outcome measure will be better perceived visualization of cannula and VAD sites. We hypothesize that the 3D model will more clearly demonstrate sites of cannula and VAD placement as compared to 2D imaging.
AIM 2: To determine if perioperative factors and outcomes improve in CHD-HF patients with use of a 3D printed model versus traditional imaging in VAD placement planning. Clinical characteristics will be collected at time of enrollment including primary diagnosis and indication for VAD. After VAD placement, information regarding the intraoperative and postoperative course will be collected including surgical cardiopulmonary bypass time (CPB) and need for cannula repositioning. Longer CPB increases morbidity and mortality and is associated with intensive care readmission in patients after LVAD placement [18-20]. Our primary measures of improvement will be CPB. We hypothesize that the improved preoperative planning using 3D models will lead to a decrease in CPB time.
The skill with which we assess patient specific CHD anatomy for pre-procedural planning must be improved, especially for the most complex patients. To confirm the clinical benefit of 3D printed models in pre-surgical planning and justify their use in routine care, multicenter clinical trials must be conducted. As an expert in the field of 3D imaging in cardiac disease, I am well poised to lead this body of research. My goal is to become well versed in conducting high quality multicenter studies and to become facile in survey tool design through this K23 proposal. I will then design a prospective multicenter study for an independent R01 proposal focused on assessing the utility of 3D models in pre-procedural planning for all complex congenital heart diseases. Investigating and reporting on these findings will result in a paradigm shift in what we consider "standard of care" for advanced imaging offered to our most complex CHD patients.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Kanwal Farooqi, MD
- Phone Number: 212-305-8509
- Email: kf2549@cumc.columbia.edu
Study Contact Backup
- Name: Katrina Golub, MPH
- Phone Number: 212-342-1562
- Email: kg2697@cumc.columbia.edu
Study Locations
-
-
-
Bogotá, Colombia
- Not yet recruiting
- LaCardio
-
Contact:
- Carlos Guerrero, MD
-
-
-
-
District of Columbia
-
Washington, District of Columbia, United States, 20010
- Recruiting
- Children's National Hospital
-
Contact:
- Yves d'Udekem, MD, PhD
-
-
Florida
-
Gainesville, Florida, United States, 32610
- Recruiting
- University of Florida
-
Contact:
- Jeffrey Jacobs, MD
-
-
Georgia
-
Atlanta, Georgia, United States, 30322
- Recruiting
- Children's Healthcare of Atlanta
-
Contact:
- Fawwaz Shaw, MD
-
-
Illinois
-
Chicago, Illinois, United States, 60611
- Recruiting
- Lurie Children's Hospital
-
Contact:
- Michael Monge, MD
-
-
Iowa
-
Iowa City, Iowa, United States, 52242
- Recruiting
- University of Iowa
-
Contact:
- Ravi Ashwath, MD
-
-
Maryland
-
Baltimore, Maryland, United States, 21287
- Not yet recruiting
- Johns Hopkins
-
Contact:
- Shelby Kutty, MD
-
-
Minnesota
-
Rochester, Minnesota, United States, 55905
- Recruiting
- Mayo Clinic
-
Contact:
- John Stulak, MD
-
-
Missouri
-
Saint Louis, Missouri, United States, 63110
- Recruiting
- Washington University
-
Contact:
- Pirooz Eghtesady, MD
-
-
New York
-
Bronx, New York, United States, 10467
- Not yet recruiting
- Montefiore Medical Center
-
Contact:
- Omar Saeed, MD
-
Sub-Investigator:
- Omar Saeed, MD
-
New York, New York, United States, 10032
- Recruiting
- Columbia University
-
Contact:
- Kanwal Farooqi, MD
- Phone Number: 212-342-1562
- Email: kf2549@cumc.columbia.edu
-
New York, New York, United States, 10065
- Not yet recruiting
- Weill Cornell
-
Contact:
- Yoshifumi Naka, MD
-
-
North Carolina
-
Durham, North Carolina, United States, 27710
- Not yet recruiting
- Duke University
-
Contact:
- Joseph Turek, MD
-
-
Ohio
-
Cleveland, Ohio, United States, 44195
- Recruiting
- Cleveland Clinic
-
Contact:
- Tara Karamlou, MD
-
-
Virginia
-
Charlottesville, Virginia, United States, 22903
- Not yet recruiting
- University of Virginia
-
Contact:
- James Gangemi, MD
-
-
Washington
-
Seattle, Washington, United States, 98105
- Not yet recruiting
- Seattle Childrens
-
Contact:
- David McMullan, MD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Patients who weigh over 3 kilograms with CHD HF who are candidates for MCS will be prospectively identified at the participating centers.
Exclusion Criteria:
- Any CHD-HF patient unable to tolerate a CMR or cardiac CT will be excluded.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Group A - 3D models
Group A will receive 3-D printed models will be used for pre-VAD planning.
For patients in Group A, the surgeon will complete a questionnaire 1) after reviewing 2D imaging data and 2) after reviewing a patient specific 3D model.
The investigators primary outcome measure will be an improvement in the clarity of cannula and VAD site demonstration.
The investigators hypothesize that the 3D models will more clearly demonstrate the sites of cannula and VAD placement as compared to 2D imaging.
|
To assess if a 3D printed cardiac model improves visualization of VAD and cannula placement sites in CHD-HF patients as compared to 2D imaging.
The investigators will prospectively enroll CHD-HF patients at multiple centers and randomize to group A (3D printed models will be used for pre-VAD planning) or Group B (controls).
|
No Intervention: Group B - Control
Group B will be the controls and will not receive a 3D model.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
A change in the clarity of cannula and VAD site demonstration
Time Frame: 30 day
|
Change in survey responses regarding clarity of VAD or cannula site placement.
|
30 day
|
Improvement in cardiopulmonary bypass time
Time Frame: 5 year
|
Detecting a change in cardiopulmonary bypass time in patients in the group that used the 3D models for pre-VAD planning.
|
5 year
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- AAAR7877
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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.
Clinical Trials on Congenital Heart Disease
-
University of UlsterBelfast Health and Social Care TrustCompletedCongenital Heart Disease | Congenital Heart Defect | Adult Congenital Heart DiseaseUnited Kingdom
-
Children's Hospital Medical Center, CincinnatiNational Heart, Lung, and Blood Institute (NHLBI)CompletedHeart Disease CongenitalUnited States
-
Vanderbilt University Medical CenterEnrolling by invitationCongenital Heart Disease | Congenital Heart Defect | Congenital Heart MalformationsUnited States
-
YHAlattarNot yet recruitingCritical Congenital Heart Disease
-
University Hospital TuebingenCompletedComplex Congenital Heart DiseaseGermany
-
The Hospital for Sick ChildrenCompletedCongenital Heart Disease (CHD)Canada
-
University College, LondonSociety for Cardiothoracic Surgery in Great Britain & Ireland; British Congenital...Unknown
-
University of California, DavisCompletedCyanotic Congenital Heart DiseaseUnited States
-
Assistance Publique Hopitaux De MarseilleRecruitingComplex Congenital Heart DiseaseFrance
-
University of PittsburghNational Heart, Lung, and Blood Institute (NHLBI); Boston Children's HospitalEnrolling by invitation
Clinical Trials on 3D model of heart
-
Children's National Research InstituteChildren's Hospital of Philadelphia; Phoenix Children's HospitalWithdrawnTransposition of the Great Arteries | Double Outlet Right Ventricle | Truncus Arteriosus | Congenitally Corrected Transposition of the Great ArteriesUnited States
-
University Hospital, BordeauxEuropean CommissionCompletedVentricular TachycardiaFrance, Switzerland
-
First Affiliated Hospital Xi'an Jiaotong UniversityUnknown
-
Yeditepe UniversityNot yet recruitingCongenital Heart DiseaseTurkey
-
Creighton UniversityRecruiting
-
Centre Hospitalier Universitaire de BesanconNot yet recruiting
-
University of CincinnatiNot yet recruitingMandible Fracture | Maxillofacial TraumaUnited States
-
Stanford UniversityCompletedAnatomy Teaching MethodsUnited States
-
M.D. Anderson Cancer CenterUniversity Cancer Foundation via the Institutional Research Grant program...Recruiting
-
Ottawa Hospital Research InstituteUnknownAnkle Injuries | Fracture, Ankle