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| Name | Class |
|---|---|
| Groupe Hospitalier Pitie-Salpetriere | OTHER |
| European Georges Pompidou Hospital | OTHER |
| Universitaire Ziekenhuizen KU Leuven | OTHER |
| Cedars-Sinai Medical Center |
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This project aims: i) to identify Cardiac Allograft Vasculopathy (CAV) trajectories after heat transplantation using latent class mixed modeling, ii) to characterize the global and specific determinants of different trajectories and iii) to provide an easily accessible tool to project individual probability of CAV trajectory belonging.
Background:
Cardiac Allograft Vasculopathy (CAV) is the third cause of late mortality and the leading cause of late allograft dysfunction. The field of heart transplantation currently lacks longitudinal description of CAV profiles. Identifying relevant CAV trajectories, or evolution profiles, and their respective determinants is an unmet clinical need. CAV trajectories requires an additional level of understanding and characterization over the current paradigm. Understanding the mechanisms and clinical factors involved in the development of CAV will be useful to provide a more nuanced picture of disease progression, which may ultimately contribute to risk stratification and ultimately guiding the care of HTx patients.
Main Outcome(s) and Measure(s):
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Latent class mixed modeling | Other | To identify CAV trajectories after heart transplantation using a contemporary unsupervised trajectory-based approach known as latent class mixed modeling |
| Measure | Description | Time Frame |
|---|---|---|
| Identification of trajectories of Cardiac Allograft Vasculopathy (CAV) | Identification of different evolutive profiles of CAV using latent classes mixed models. Each coronary angiogram was graded from 0 (no CAV) to 3 (severe CAV) according to ISHLT classification. | 10 years post-transplant |
| Measure | Description | Time Frame |
|---|---|---|
| Identification of the specific determinants of CAV trajectories | Identification of immune and non-immune determinants using multivariable multinomial logistic regression. | From transplantation to 1-year post-transplant |
| Early prediction of CAV trajectories |
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Inclusion Criteria:
Exclusion Criteria:
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Heart recipients aged over 18 and of all genders recruited between 2004 and 2015 from European and North American centers, who had at least two coronary angiograms during follow-up.
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| Name | Affiliation | Role |
|---|---|---|
| Alexandre Loupy, MD, PhD | Paris Transplant Group | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Jon Kobashigawa | Los Angeles | California | 90211 | United States | ||
| Maarten Naesens |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32363949 | Derived | Loupy A, Coutance G, Bonnet G, Van Keer J, Raynaud M, Aubert O, Bories MC, Racape M, Yoo D, Duong Van Huyen JP, Bruneval P, Taupin JL, Lefaucheur C, Varnous S, Leprince P, Guillemain R, Empana JP, Levine R, Naesens M, Patel JK, Jouven X, Kobashigawa J. Identification and Characterization of Trajectories of Cardiac Allograft Vasculopathy After Heart Transplantation: A Population-Based Study. Circulation. 2020 Jun 16;141(24):1954-1967. doi: 10.1161/CIRCULATIONAHA.119.044924. Epub 2020 May 4. |
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| OTHER |
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Probability of belonging to each trajectory according to the baseline angiogram and independent risk factors for CAV |
| 10 years post-transplant |
| Patients and allograft survival probability according the CAV trajectory | Comparison of prognosis according the CAV trajectory | 10 years post-transplant |
| Leuven |
| Belgium |
| Paris Transplant Group | Paris | 75015 | France |