Literature DB >> 32363949

Identification and Characterization of Trajectories of Cardiac Allograft Vasculopathy After Heart Transplantation: A Population-Based Study.

Alexandre Loupy1,2, Guillaume Coutance1,3, Guillaume Bonnet1,4, Jan Van Keer5, Marc Raynaud1, Olivier Aubert1,2, Marie-Cécile Bories4, Maud Racapé1, Daniel Yoo1, Jean-Paul Duong Van Huyen6, Patrick Bruneval7, Jean-Luc Taupin8, Carmen Lefaucheur1, Shaida Varnous3,9, Pascal Leprince3,9, Romain Guillemain4, Jean-Philippe Empana1,4, Ryan Levine10, Maarten Naesens11,12, Jigneh K Patel10, Xavier Jouven1,4, Jon Kobashigawa10.   

Abstract

BACKGROUND: Cardiac allograft vasculopathy (CAV) is a major contributor of heart transplant recipient mortality. Little is known about the prototypes of CAV trajectories at the population level. We aimed to identify the different evolutionary profiles of CAV and to determine the respective contribution of immune and nonimmune factors in CAV development.
METHODS: Heart transplant recipients were from 4 academic centers (Pitié-Salpêtrière and Georges Pompidou Hospital, Paris, Katholieke Universiteit Leuven, and Cedars-Sinai, Los Angeles; 2004-2016). Patients underwent prospective, protocol-based monitoring consisting of repeated coronary angiographies together with systematic assessments of clinical, histological, and immunologic parameters. The main outcome was a prediction for CAV trajectory. We identified CAV trajectories by using unsupervised latent class mixed models. We then identified the independent predictive variables of the CAV trajectories and their association with mortality.
RESULTS: A total of 1301 patients were included (815 and 486 in the European and US cohorts, respectively). The median follow-up after transplantation was 6.6 (interquartile range, 4-9.1) years with 4710 coronary angiographies analyzed. We identified 4 distinct profiles of CAV trajectories over 10 years. The 4 trajectories were characterized by (1) patients without CAV at 1 year and nonprogression over time (56.3%), (2) patients without CAV at 1 year and late-onset slow CAV progression (7.6%), (3) patients with mild CAV at 1 year and mild progression over time (23.1%), and (4) patients with mild CAV at 1 year and accelerated progression (13.0%). This model showed good discrimination (0.92). Among candidate predictors assessed, 6 early independent predictors of these trajectories were identified: donor age (P<0.001), donor male sex (P<0.001), donor tobacco consumption (P=0.001), recipient dyslipidemia (P=0.009), class II anti-human leukocyte antigen donor-specific antibodies (P=0.004), and acute cellular rejection ≥2R (P=0.028). The 4 CAV trajectories manifested consistently in the US independent cohort with similar discrimination (0.97) and in different clinical scenarios, and showed gradients for overall-cause mortality (P<0.001).
CONCLUSIONS: In a large multicenter and highly phenotyped prospective cohort of heart transplant recipients, we identified 4 CAV trajectories and their respective independent predictive variables. Our results provide the basis for a trajectory-based assessment of patients undergoing heart transplantation for early risk stratification, patient monitoring, and clinical trials. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04117152.

Entities:  

Keywords:  allografts; antibodies; coronary artery disease; graft rejection; heart transplantation; latent class analysis

Year:  2020        PMID: 32363949     DOI: 10.1161/CIRCULATIONAHA.119.044924

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  7 in total

1.  Computational Analysis of Routine Biopsies Improves Diagnosis and Prediction of Cardiac Allograft Vasculopathy.

Authors:  Eliot G Peyster; Andrew Janowczyk; Abigail Swamidoss; Samhith Kethireddy; Michael D Feldman; Kenneth B Margulies
Journal:  Circulation       Date:  2022-04-11       Impact factor: 39.918

2.  Molecular Signature of Antibody-Mediated Chronic Vasculopathy in Heart Allografts in a Novel Mouse Model.

Authors:  Hidetoshi Tsuda; Nina Dvorina; Karen S Keslar; Jessica Nevarez-Mejia; Nicole M Valenzuela; Elaine F Reed; Robert L Fairchild; William M Baldwin
Journal:  Am J Pathol       Date:  2022-04-29       Impact factor: 5.770

3.  Donor specific anti-HLA antibodies and cardiac allograft vasculopathy: A prospective study using highly automated 3-D optical coherence tomography analysis.

Authors:  Michal Pazdernik; Helena Bedanova; Zhi Chen; Josef Kautzner; Vojtech Melenovsky; Ivan Malek; Antonij Slavcev; Michaela Bartonova; Vladimir Karmazin; Tomas Eckhardt; Ales Tomasek; Eva Ozabalova; Tomas Kovarnik; Peter Wohlfahrt; Milan Sonka
Journal:  Transpl Immunol       Date:  2020-10-15       Impact factor: 2.032

4.  Low-Density Lipoprotein Cholesterol Level Trends and the Development of Cardiac Allograft Vasculopathy After Heart Transplantation.

Authors:  Natasha Aleksova; Fraz Umar; Jordan Bernick; Lisa M Mielniczuk; Heather J Ross; Sharon Chih
Journal:  CJC Open       Date:  2021-07-16

5.  Artesunate Restrains Maturation of Dendritic Cells and Ameliorates Heart Transplantation-Induced Acute Rejection in Mice through the PERK/ATF4/CHOP Signaling Pathway.

Authors:  Yuanyang Chen; Sihao Zheng; Zhiwei Wang; Xin Cai; Yanjia Che; Qi Wu; Shun Yuan; Xiaohan Zhong
Journal:  Mediators Inflamm       Date:  2021-08-21       Impact factor: 4.711

6.  Identification of Distinct Subgroups in Moderately Severe Rheumatic Mitral Stenosis Using Data-Driven Phenotyping of Longitudinal Hemodynamic Progression.

Authors:  Kyu-Yong Ko; Iksung Cho; Subin Kim; Yeonchan Seong; Dae-Young Kim; Ji Won Seo; Seng Chan You; Chi Young Shim; Geu-Ru Hong; Jong-Won Ha
Journal:  J Am Heart Assoc       Date:  2022-07-29       Impact factor: 6.106

Review 7.  Cardiac allograft vasculopathy: current review and future research directions.

Authors:  Jordan S Pober; Sharon Chih; Jon Kobashigawa; Joren C Madsen; George Tellides
Journal:  Cardiovasc Res       Date:  2021-11-22       Impact factor: 10.787

  7 in total

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