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51. COVID-19 pandemic and worldwide organ transplantation: a population-based study

Author

Aubert, Olivier, Yoo, Daniel, Zielinski, Dina, Cozzi, Emanuele, Cardillo, Massimo, Dürr, Michael, Domínguez-Gil, Beatriz, Coll, Elisabeth, Da Silva, Margarida Ivo, Sallinen, Ville, Lemström, Karl, Midtvedt, Karsten, Ulloa, Camilo, Immer, Franz, Weissenbacher, Annemarie, Vallant, Natalie, Basic-Jukic, Nikolina, Tanabe, Kazunari, Papatheodoridis, Georgios, Menoudakou, Georgia, Torres, Martin, Soratti, Carlos, Hansen Krogh, Daniela, Lefaucheur, Carmen, Ferreira, Gustavo, Silva, Helio Tedesco, Jr, Hartell, David, Forsythe, John, Mumford, Lisa, Reese, Peter P, Kerbaul, François, Jacquelinet, Christian, Vogelaar, Serge, Papalois, Vassilios, and Loupy, Alexandre

Published
2021
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55. Time-dependent lymphocyte count after transplantation is associated with higher risk of graft failure and death

Author

Blancho, Gilles, Branchereau, Julien, Cantarovich, Diego, Chapelet, Agnès, Dantal, Jacques, Deltombe, Clément, Figueres, Lucile, Garandeau, Claire, Giral, Magali, Gourraud-Vercel, Caroline, Hourmant, Maryvonne, Karam, Georges, Kerleau, Clarisse, Meurette, Aurélie, Ville, Simon, Kandell, Christine, Moreau, Anne, Renaudin, Karine, Cesbron, Anne, Delbos, Florent, Walencik, Alexandre, Devis, Anne, Amrouche, Lucile, Anglicheau, Dany, Aubert, Olivier, Bererhi, Lynda, Legendre, Christophe, Loupy, Alexandre, Martinez, Frank, Sberro-Soussan, Rébecca, Scemla, Anne, Tinel, Claire, Zuber, Julien, Dujardin, Amaury, Lorent, Marine, Foucher, Yohann, and Brouard, Sophie

Published
2021
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57. The XIIIth Banff Conference on Allograft Pathology: The Banff 2015 Heart Meeting Report: Improving Antibody-Mediated Rejection Diagnostics: Strengths, Unmet Needs, and Future Directions

Author

Bruneval, P, Angelini, A, Miller, D, Potena, L, Loupy, A, Zeevi, A, Reed, EF, Dragun, D, Reinsmoen, N, Smith, RN, West, L, Tebutt, S, Thum, T, Haas, M, Mengel, M, Revelo, P, Fedrigo, M, Van Huyen, JP Duong, and Berry, GJ

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Cardiovascular, Heart Disease, Transplantation, Organ Transplantation, Graft Rejection, Humans, Isoantibodies, Practice Guidelines as Topic, Research Report, Transplantation, Homologous, clinical research, practice, heart transplantation, cardiology, rejection, rejection: antibody-mediated, rejection: subclinical, translational research, science, clinical research/practice, heart transplantation/cardiology, translational research/science, Medical and Health Sciences, Surgery, Clinical sciences, Immunology
Abstract

The 13th Banff Conference on Allograft Pathology was held in Vancouver, British Columbia, Canada from October 5 to 10, 2015. The cardiac session was devoted to current diagnostic issues in heart transplantation with a focus on antibody-mediated rejection (AMR) and small vessel arteriopathy. Specific topics included the strengths and limitations of the current rejection grading system, the central role of microvascular injury in AMR and approaches to semiquantitative assessment of histopathologic and immunophenotypic indicators, the role of AMR in the development of cardiac allograft vasculopathy, the important role of serologic antibody detection in the management of transplant recipients, and the potential application of new molecular approaches to the elucidation of the pathophysiology of AMR and potential for improving the current diagnostic system. Herein we summarize the key points from the presentations, the comprehensive, open and wide-ranging multidisciplinary discussion that was generated, and considerations for future endeavors.

Published
2017

58. The Banff 2015 Kidney Meeting Report: Current Challenges in Rejection Classification and Prospects for Adopting Molecular Pathology

Author

Loupy, A, Haas, M, Solez, K, Racusen, L, Glotz, D, Seron, D, Nankivell, BJ, Colvin, RB, Afrouzian, M, Akalin, E, Alachkar, N, Bagnasco, S, Becker, JU, Cornell, L, Drachenberg, C, Dragun, D, de Kort, H, Gibson, IW, Kraus, ES, Lefaucheur, C, Legendre, C, Liapis, H, Muthukumar, T, Nickeleit, V, Orandi, B, Park, W, Rabant, M, Randhawa, P, Reed, EF, Roufosse, C, Seshan, SV, Sis, B, Singh, HK, Schinstock, C, Tambur, A, Zeevi, A, and Mengel, M

Subjects
Organ Transplantation, Clinical Research, Transplantation, Detection, screening and diagnosis, 4.1 Discovery and preclinical testing of markers and technologies, Renal and urogenital, Arteritis, Complement C4b, Graft Rejection, Humans, Isoantibodies, Kidney Transplantation, Peptide Fragments, Research Report, clinical research, practice, translational research, science, kidney transplantation, nephrology, pathology, histopathology, organ transplantation in general, rejection, rejection: antibody-mediated, rejection: subclinical, rejection: T cell mediated, clinical research/practice, kidney transplantation/nephrology, pathology/histopathology, translational research/science, Medical and Health Sciences, Surgery
Abstract

The XIII Banff meeting, held in conjunction the Canadian Society of Transplantation in Vancouver, Canada, reviewed the clinical impact of updates of C4d-negative antibody-mediated rejection (ABMR) from the 2013 meeting, reports from active Banff Working Groups, the relationships of donor-specific antibody tests (anti-HLA and non-HLA) with transplant histopathology, and questions of molecular transplant diagnostics. The use of transcriptome gene sets, their resultant diagnostic classifiers, or common key genes to supplement the diagnosis and classification of rejection requires further consensus agreement and validation in biopsies. Newly introduced concepts include the i-IFTA score, comprising inflammation within areas of fibrosis and atrophy and acceptance of transplant arteriolopathy within the descriptions of chronic active T cell-mediated rejection (TCMR) or chronic ABMR. The pattern of mixed TCMR and ABMR was increasingly recognized. This report also includes improved definitions of TCMR and ABMR in pancreas transplants with specification of vascular lesions and prospects for defining a vascularized composite allograft rejection classification. The goal of the Banff process is ongoing integration of advances in histologic, serologic, and molecular diagnostic techniques to produce a consensus-based reporting system that offers precise composite scores, accurate routine diagnostics, and applicability to next-generation clinical trials.

Published
2017

59. Comparing the effects of two different strains of mycobacteria, Mycobacterium vaccae NCTC 11659 and M. vaccae ATCC 15483, on stress-resilient behaviors and lipid-immune signaling in rats

Author

Loupy, Kelsey M., Cler, Kristin E., Marquart, Brandon M., Yifru, Tumim W., D'Angelo, Heather M., Arnold, Mathew R., Elsayed, Ahmed I., Gebert, Matthew J., Fierer, Noah, Fonken, Laura K., Frank, Matthew G., Zambrano, Cristian A., Maier, Steven F., and Lowry, Christopher A.

Published
2021
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60. Trajectories of glomerular filtration rate and progression to end stage kidney disease after kidney transplantation

Author

Raynaud, Marc, Aubert, Olivier, Reese, Peter P., Bouatou, Yassine, Naesens, Maarten, Kamar, Nassim, Bailly, Élodie, Giral, Magali, Ladrière, Marc, Le Quintrec, Moglie, Delahousse, Michel, Juric, Ivana, Basic-Jukic, Nikolina, Gupta, Gaurav, Akalin, Enver, Yoo, Daniel, Chin, Chen-Shan, Proust-Lima, Cécile, Böhmig, Georg, Oberbauer, Rainer, Stegall, Mark D., Bentall, Andrew J., Jordan, Stanley C., Huang, Edmund, Glotz, Denis, Legendre, Christophe, Montgomery, Robert A., Segev, Dorry L., Empana, Jean-Philippe, Grams, Morgan E., Coresh, Josef, Jouven, Xavier, Lefaucheur, Carmen, and Loupy, Alexandre

Published
2021
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61. The Banff 2022 Kidney Meeting Work Plan:Data-driven refinement of the Banff Classification for renal allografts

Author

Roufosse, Candice, Naesens, Maarten, Haas, Mark, Lefaucheur, Carmen, Mannon, Roslyn B., Afrouzian, Marjan, Alachkar, Nada, Aubert, Olivier, Bagnasco, Serena M., Batal, Ibrahim, Bellamy, Chris O.C., Broecker, Verena, Budde, Klemens, Clahsen-Van Groningen, Marian, Coley, Shana M., Cornell, Lynn D., Dadhania, Darshana, Demetris, Anthony J., Einecke, Gunilla, Farris, Alton B., Fogo, Agnes B., Friedewald, John, Gibson, Ian W., Horsfield, Catherine, Huang, Edmund, Husain, Syed A., Jackson, Annette M., Kers, Jesper, Kikić, Željko, Klein, Amanda, Kozakowski, Nicolas, Liapis, Helen, Mangiola, Massima, Montgomery, Robert A., Nankinvell, Brian, Neil, Desley A.H., Nickerson, Peter, Rabant, Marion, Randhawa, Parmjeet, Riella, Leonardo V., Rosales, Ivy, Royal, Virginie, Sapir-Pichhadze, Ruth, Sarder, Pinaki, Sarwal, Minnie, Schinstock, Carrie, Stegall, Mark, Solez, Kim, van der Laak, Jeroen, Wiebe, Chris, Colvin, Robert B., Loupy, Alexandre, Mengel, Michael, Roufosse, Candice, Naesens, Maarten, Haas, Mark, Lefaucheur, Carmen, Mannon, Roslyn B., Afrouzian, Marjan, Alachkar, Nada, Aubert, Olivier, Bagnasco, Serena M., Batal, Ibrahim, Bellamy, Chris O.C., Broecker, Verena, Budde, Klemens, Clahsen-Van Groningen, Marian, Coley, Shana M., Cornell, Lynn D., Dadhania, Darshana, Demetris, Anthony J., Einecke, Gunilla, Farris, Alton B., Fogo, Agnes B., Friedewald, John, Gibson, Ian W., Horsfield, Catherine, Huang, Edmund, Husain, Syed A., Jackson, Annette M., Kers, Jesper, Kikić, Željko, Klein, Amanda, Kozakowski, Nicolas, Liapis, Helen, Mangiola, Massima, Montgomery, Robert A., Nankinvell, Brian, Neil, Desley A.H., Nickerson, Peter, Rabant, Marion, Randhawa, Parmjeet, Riella, Leonardo V., Rosales, Ivy, Royal, Virginie, Sapir-Pichhadze, Ruth, Sarder, Pinaki, Sarwal, Minnie, Schinstock, Carrie, Stegall, Mark, Solez, Kim, van der Laak, Jeroen, Wiebe, Chris, Colvin, Robert B., Loupy, Alexandre, and Mengel, Michael

Abstract

The XVIth Banff Meeting for Allograft Pathology was held in Banff, Alberta, Canada, from September 19 to 23, 2022, as a joint meeting with the Canadian Society of Transplantation. In addition to a key focus on the impact of microvascular inflammation and biopsy-based transcript analysis on the Banff Classification, further sessions were devoted to other aspects of kidney transplant pathology, in particular T cell–mediated rejection, activity and chronicity indices, digital pathology, xenotransplantation, clinical trials, and surrogate endpoints. Although the output of these sessions has not led to any changes in the classification, the key role of Banff Working Groups in phrasing unanswered questions, and coordinating and disseminating results of investigations addressing these unanswered questions was emphasized. This paper summarizes the key Banff Meeting 2022 sessions not covered in the Banff Kidney Meeting 2022 Report paper and also provides an update on other Banff Working Group activities relevant to kidney allografts.

Published
2024

64. 240.1: The Risk of Venous Thromboembolism Is Enhanced After A Cytomegalovirus Infection in Kidney Transplant Recipient

Author

Masset, Christophe, Scemla, Anne, Kerleau, Clarisse, Bressolette, Celine, Le borgne, Florent, Morelon, Emmanuel, Buron, Fanny, Lequintrec-Donnette, Moglie, Perrin, Vincent, Ladrière, Marc, Girerd, Sophie, Legendre, Christophe, Loupy, Alexandre, Sicard, Antoine, Albano, Laetitia, Lefaucheur, Carmen, Glotz, Denis, Mariat, Christophe, Claisse, Guillaume, Dantal, Jacques, and Giral, Magali

Published
2022
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65. Intragraft gene expression in native kidney BK virus nephropathy versus T cell–mediated rejection: Prospects for molecular diagnosis and risk prediction

Author

Adam, Benjamin A., Kikic, Zeljko, Wagner, Siegfried, Bouatou, Yassine, Gueguen, Juliette, Drieux, Fanny, Reid, Graeme, Du, Katie, Bräsen, Jan H., D’Agati, Vivette D., Drachenberg, Cinthia B., Farkash, Evan A., Brad Farris, Alton, Geldenhuys, Laurette, Loupy, Alexandre, Nickeleit, Volker, Rabant, Marion, Randhawa, Parmjeet, Regele, Heinz, and Mengel, Michael

Published
2020
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66. The XVth Banff Conference on Allograft Pathology the Banff Workshop Heart Report: Improving the diagnostic yield from endomyocardial biopsies and Quilty effect revisited

Author

Duong Van Huyen, Jean-Paul, Fedrigo, Marny, Fishbein, Gregory A., Leone, Ornella, Neil, Desley, Marboe, Charles, Peyster, Eliot, von der Thüsen, Jan, Loupy, Alexandre, Mengel, Michael, Revelo, Monica P., Adam, Benjamin, Bruneval, Patrick, Angelini, Annalisa, Miller, Dylan V., and Berry, Gerald J.

Published
2020
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68. COVID-19-related medical research: a meta-research and critical appraisal

Author

Marc Raynaud, Huanxi Zhang, Kevin Louis, Valentin Goutaudier, Jiali Wang, Quentin Dubourg, Yongcheng Wei, Zeynep Demir, Charlotte Debiais, Olivier Aubert, Yassine Bouatou, Carmen Lefaucheur, Patricia Jabre, Longshan Liu, Changxi Wang, Xavier Jouven, Peter Reese, Jean-Philippe Empana, and Alexandre Loupy

Subjects
COVID-19, Systematic review, Critical appraisal, Quality of research, Medicine (General), R5-920
Abstract

Abstract Background Since the start of the COVID-19 outbreak, a large number of COVID-19-related papers have been published. However, concerns about the risk of expedited science have been raised. We aimed at reviewing and categorizing COVID-19-related medical research and to critically appraise peer-reviewed original articles. Methods The data sources were Pubmed, Cochrane COVID-19 register study, arXiv, medRxiv and bioRxiv, from 01/11/2019 to 01/05/2020. Peer-reviewed and preprints publications related to COVID-19 were included, written in English or Chinese. No limitations were placed on study design. Reviewers screened and categorized studies according to i) publication type, ii) country of publication, and iii) topics covered. Original articles were critically appraised using validated quality assessment tools. Results Among the 11,452 publications identified, 10,516 met the inclusion criteria, among which 7468 (71.0%) were peer-reviewed articles. Among these, 4190 publications (56.1%) did not include any data or analytics (comprising expert opinion pieces). Overall, the most represented topics were infectious disease (n = 2326, 22.1%), epidemiology (n = 1802, 17.1%), and global health (n = 1602, 15.2%). The top five publishing countries were China (25.8%), United States (22.3%), United Kingdom (8.8%), Italy (8.1%) and India (3.4%). The dynamic of publication showed that the exponential growth of COVID-19 peer-reviewed articles was mainly driven by publications without original data (mean 261.5 articles ± 51.1 per week) as compared with original articles (mean of 69.3 ± 22.3 articles per week). Original articles including patient data accounted for 713 (9.5%) of peer-reviewed studies. A total of 576 original articles (80.8%) showed intermediate to high risk of bias. Last, except for simulation studies that mainly used large-scale open data, the median number of patients enrolled was of 102 (IQR = 37–337). Conclusions Since the beginning of the COVID-19 pandemic, the majority of research is composed by publications without original data. Peer-reviewed original articles with data showed a high risk of bias and included a limited number of patients. Together, these findings underscore the urgent need to strike a balance between the velocity and quality of research, and to cautiously consider medical information and clinical applicability in a pressing, pandemic context. Systematic review registration https://osf.io/5zjyx/

Published
2021
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71. Reverse transcriptase multiplex ligation-dependent probe amplification in endomyocardial biopsies for the diagnosis of cardiac allograft rejection

Author

Adam, Nicolas, Coutance, Guillaume, Viailly, Pierre-Julien, Drieux, Fanny, Ruminy, Philippe, Sater, Ahmad Abdel, Toquet, Claire, Rouvier, Philippe, François, Arnaud, Chenard, Marie-Pierre, Epailly, Eric, Guillemain, Romain, Pattier, Sabine, Gay, Arnaud, Varnous, Shaida, Taupin, Jean-Luc, Rabant, Marion, Loupy, Alexandre, Bruneval, Patrick, and Duong Van Huyen, Jean Paul

Published
2020
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74. Validation of the clinical utility of MicroRNA as non-invasive biomarkers of cardiac allograft rejection monitoring: A prospective longitudinal multicenter study

Author

Coutance, G., primary, Racapé, M., additional, Baudry, G., additional, Lecuyer, L., additional, Roubille, F., additional, Blanchart, K., additional, Epailly, E., additional, Vermes, E., additional, Pattier, S., additional, Boignard, A., additional, Gay, A., additional, Jouven, X., additional, Duong, J.-P., additional, and Loupy, A., additional

Published
2024
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75. Prognostic Biomarkers in Kidney Transplantation: A Systematic Review and Critical Appraisal

Author

Raynaud, Marc, primary, Al-Awadhi, Solaf, additional, Louis, Kevin, additional, Zhang, Huanxi, additional, Su, Xiaojun, additional, Goutaudier, Valentin, additional, Wang, Jiali, additional, Demir, Zeynep, additional, Wei, Yongcheng, additional, Truchot, Agathe, additional, Bouquegneau, Antoine, additional, Del Bello, Arnaud, additional, Bailly, Élodie, additional, Lombardi, Yannis, additional, Maanaoui, Mehdi, additional, Giarraputo, Alessia, additional, Naser, Sofia, additional, Divard, Gillian, additional, Aubert, Olivier, additional, Murad, Mohammad Hassan, additional, Wang, Changxi, additional, Liu, Longshan, additional, Bestard, Oriol, additional, Naesens, Maarten, additional, Friedewald, John J., additional, Lefaucheur, Carmen, additional, Riella, Leonardo, additional, Collins, Gary, additional, Ioannidis, John P.A., additional, and Loupy, Alexandre, additional

Published
2023
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77. Identification of liver transplant biopsy phenotypes associated with distinct liver biological markers and allograft survival

Author

Demir, Zeynep, primary, Raynaud, Marc, additional, Aubert, Olivier, additional, Debray, Dominique, additional, Sebagh, Mylène, additional, Van Huyen, Jean-Paul Duong, additional, Del Bello, Arnaud, additional, Congy Jolivet, Nicolas, additional, Paradis, Valérie, additional, Durand, François, additional, Muratot, Sophie, additional, Lozach, Cécile, additional, Chardot, Christophe, additional, Francoz, Claire, additional, Sarnacki, Sabine, additional, Coilly, Audrey, additional, Samuel, Didier, additional, Vibert, Eric, additional, Féray, Cyrille, additional, Lefaucheur, Carmen, additional, and Loupy, Alexandre, additional

Published
2023
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78. Challenges in the management of the kidney allograft: from decline to failure: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference

Author

Josephson, Michelle A., primary, Becker, Yolanda, additional, Budde, Klemens, additional, Kasiske, Bertram L., additional, Kiberd, Bryce A., additional, Loupy, Alexandre, additional, Małyszko, Jolanta, additional, Mannon, Roslyn B., additional, Tönshoff, Burkhard, additional, Cheung, Michael, additional, Jadoul, Michel, additional, Winkelmayer, Wolfgang C., additional, Zeier, Martin, additional, Ahn, Curie, additional, Alberú, Josefina, additional, Baliker, Mary, additional, Bamgboye, Ebun L., additional, Barber, Thelma, additional, Bensouda, Melissa, additional, Chadban, Steve J., additional, Dadhania, Darshana M., additional, Dębska-Ślizień, Alicja, additional, Devresse, Arnaud, additional, Ditzen, Beate, additional, Fowler, Kevin, additional, Gill, John S., additional, Jha, Vivekanand, additional, Khairallah, Pascale, additional, Knoll, Greg A., additional, Korst, Uwe, additional, Lee, Austin, additional, Legendre, Christophe, additional, Lentine, Krista L., additional, Lerma, Edgar V., additional, Lorenz, Elizabeth C., additional, Matas, Arthur J., additional, Mohan, Sumit, additional, Nazarewski, Sławomir, additional, Noronha, Irene L., additional, Obrador, Gregorio T., additional, Parekh, Rulan S., additional, Pavlakis, Martha, additional, Pascual, Julio, additional, Pilmore, Helen L., additional, Rosenkranz, Alexander R., additional, Rozen-Zvi, Benaya, additional, Roy-Chaudhury, Prabir, additional, Tanabe, Kazunari, additional, Wanner, Christoph, additional, Wasse, Haimanot, additional, and Yang, Chul-Woo, additional

Published
2023
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79. Proteomic Indicators of Health Predict Alzheimer's Disease Biomarker Levels and Dementia Risk

Author

Dark, Heather E., primary, Paterson, Clare, additional, Daya, Gulzar N., additional, Peng, Zhongsheng, additional, Duggan, Michael R., additional, Bilgel, Murat, additional, An, Yang, additional, Moghekar, Abhay, additional, Davatzikos, Christos, additional, Resnick, Susan M., additional, Loupy, Kelsey, additional, Simpson, Missy, additional, Candia, Julián, additional, Mosley, Thomas, additional, Coresh, Josef, additional, Palta, Priya, additional, Ferrucci, Luigi, additional, Shapiro, Allison, additional, Williams, Stephen A., additional, and Walker, Keenan A., additional

Published
2023
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80. The Banff 2022 Kidney Meeting Work Plan: Data-driven refinement of the Banff Classification for renal allografts

Author

Roufosse, Candice, primary, Naesens, Maarten, additional, Haas, Mark, additional, Lefaucheur, Carmen, additional, Mannon, Roslyn B., additional, Afrouzian, Marjan, additional, Alachkar, Nada, additional, Aubert, Olivier, additional, Bagnasco, Serena M., additional, Batal, Ibrahim, additional, Bellamy, Chris O.C., additional, Broecker, Verena, additional, Budde, Klemens, additional, Clahsen-Van Groningen, Marian, additional, Coley, Shana M., additional, Cornell, Lynn D., additional, Dadhania, Darshana, additional, Demetris, Anthony J., additional, Einecke, Gunilla, additional, Farris, Alton B., additional, Fogo, Agnes B., additional, Friedewald, John, additional, Gibson, Ian W., additional, Horsfield, Catherine, additional, Huang, Edmund, additional, Husain, Syed A., additional, Jackson, Annette M., additional, Kers, Jesper, additional, Kikić, Željko, additional, Klein, Amanda, additional, Kozakowski, Nicolas, additional, Liapis, Helen, additional, Mangiola, Massima, additional, Montgomery, Robert A., additional, Nankinvell, Brian, additional, Neil, Desley A.H., additional, Nickerson, Peter, additional, Rabant, Marion, additional, Randhawa, Parmjeet, additional, Riella, Leonardo V., additional, Rosales, Ivy, additional, Royal, Virginie, additional, Sapir-Pichhadze, Ruth, additional, Sarder, Pinaki, additional, Sarwal, Minnie, additional, Schinstock, Carrie, additional, Stegall, Mark, additional, Solez, Kim, additional, van der Laak, Jeroen, additional, Wiebe, Chris, additional, Colvin, Robert B., additional, Loupy, Alexandre, additional, and Mengel, Michael, additional

Published
2023
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82. Prediction system for risk of allograft loss in patients receiving kidney transplants : international derivation and validation study

Author

Loupy, Alexandre, Aubert, Olivier, Orandi, Babak J, Naesens, Maarten, Bouatou, Yassine, Raynaud, Marc, Divard, Gillian, Jackson, Annette M, Viglietti, Denis, Giral, Magali, Kamar, Nassim, Thaunat, Olivier, Morelon, Emmanuel, Delahousse, Michel, Kuypers, Dirk, Hertig, Alexandre, Rondeau, Eric, Bailly, Elodie, Eskandary, Farsad, Böhmig, Georg, Gupta, Gaurav, Glotz, Denis, Legendre, Christophe, Montgomery, Robert A, Stegall, Mark D, Empana, Jean-Philippe, Jouven, Xavier, Segev, Dorry L, and Lefaucheur, Carmen

Published
2019

83. COVID-19-related medical research: a meta-research and critical appraisal

Author

Raynaud, Marc, Zhang, Huanxi, Louis, Kevin, Goutaudier, Valentin, Wang, Jiali, Dubourg, Quentin, Wei, Yongcheng, Demir, Zeynep, Debiais, Charlotte, Aubert, Olivier, Bouatou, Yassine, Lefaucheur, Carmen, Jabre, Patricia, Liu, Longshan, Wang, Changxi, Jouven, Xavier, Reese, Peter, Empana, Jean-Philippe, and Loupy, Alexandre

Published
2021
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84. Transplantation rénale : réalisation et suivi précoce

Author

Anglicheau, Dany, Tinel, Claire, Canaud, Guillaume, Loupy, Alexandre, Zuber, Julien, Delville, Marianne, Rabaté, Clémentine, Scemla, Anne, Snanoudj, Renaud, Sberro-Soussan, Rébecca, Mamzer-Bruneel, Marie-France, Bererhi, Lynda, Martinez, Frank, Timsit, Marc-Olivier, Rabant, Marion, Correas, Jean-Michel, Bienaimé, Frank, Duong, Jean-Paul, Hélénon, Olivier, Prié, Dominique, Méjean, Arnaud, and Legendre, Christophe

Published
2019
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85. COVID-19 pandemic and worldwide organ transplantation: a population-based study

Author

Olivier Aubert, MD, Daniel Yoo, MPH, Dina Zielinski, PhD, Emanuele Cozzi, MD, Massimo Cardillo, MD, Michael Dürr, MD, Beatriz Domínguez-Gil, MD, Elisabeth Coll, MD, Margarida Ivo Da Silva, MD, Ville Sallinen, MD, Karl Lemström, MD, Karsten Midtvedt, MD, Camilo Ulloa, MD, Franz Immer, MD, Annemarie Weissenbacher, MD, Natalie Vallant, MD, Nikolina Basic-Jukic, MD, Kazunari Tanabe, MD, Georgios Papatheodoridis, PhD, Georgia Menoudakou, MSc, Martin Torres, MD, Carlos Soratti, MD, Daniela Hansen Krogh, Carmen Lefaucheur, MD, Gustavo Ferreira, MD, Helio Tedesco Silva, Jr, MD, David Hartell, MA, John Forsythe, MD, Lisa Mumford, MSc, Peter P Reese, MD, François Kerbaul, MD, Christian Jacquelinet, MD, Serge Vogelaar, MD, Vassilios Papalois, MD, and Alexandre Loupy, MD

Subjects
Public aspects of medicine, RA1-1270
Abstract

Summary: Background: Preliminary data suggest that COVID-19 has reduced access to solid organ transplantation. However, the global consequences of the COVID-19 pandemic on transplantation rates and the effect on waitlisted patients have not been reported. We aimed to assess the effect of the COVID-19 pandemic on transplantation and investigate if the pandemic was associated with heterogeneous adaptation in terms of organ transplantation, with ensuing consequences for waitlisted patients. Methods: In this population-based, observational, before-and-after study, we collected and validated nationwide cohorts of consecutive kidney, liver, lung, and heart transplants from 22 countries. Data were collected from Jan 1 to Dec 31, 2020, along with data from the same period in 2019. The analysis was done from the onset of the 100th cumulative COVID-19 case through to Dec 31, 2020. We assessed the effect of the pandemic on the worldwide organ transplantation rate and the disparity in transplant numbers within each country. We estimated the number of waitlisted patient life-years lost due to the negative effects of the pandemic. The study is registered with ClinicalTrials.gov, NCT04416256. Findings: Transplant activity in all countries studied showed an overall decrease during the pandemic. Kidney transplantation was the most affected, followed by lung, liver, and heart. We identified three organ transplant rate patterns, as follows: countries with a sharp decrease in transplantation rate with a low COVID-19-related death rate; countries with a moderate decrease in transplantation rate with a moderate COVID-19-related death rate; and countries with a slight decrease in transplantation rate despite a high COVID-19-related death rate. Temporal trends revealed a marked worldwide reduction in transplant activity during the first 3 months of the pandemic, with losses stabilising after June, 2020, but decreasing again from October to December, 2020. The overall reduction in transplants during the observation time period translated to 48 239 waitlisted patient life-years lost. Interpretation: We quantified the impact of the COVID-19 pandemic on worldwide organ transplantation activity and revealed heterogeneous adaptation in terms of organ transplantation, both at national levels and within countries, with detrimental consequences for waitlisted patients. Understanding how different countries and health-care systems responded to COVID-19-related challenges could facilitate improved pandemic preparedness, notably, how to safely maintain transplant programmes, both with immediate and non-immediate life-saving potential, to prevent loss of patient life-years. Funding: French national research agency (INSERM) ATIP Avenir and Fondation Bettencourt Schueller.

Published
2021
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86. Multi-disciplinary Analysis of Flow in Weapon Bays

Author

Loupy, Gaëtan J. M., Barakos, George N., Schröder, Wolfgang, General editor, Boersma, Bendiks Jan, Series Editor, Fujii, Kozo, Series Editor, Haase, Werner, Series Editor, Hirschel, Ernst Heinrich, Founded by, Leschziner, Michael A., Series Editor, Periaux, Jacques, Series Editor, Pirozzoli, Sergio, Series Editor, Rizzi, Arthur, Series Editor, Roux, Bernard, Series Editor, Shokin, Yurii I., Series Editor, Hoarau, Yannick, editor, Peng, Shia-Hui, editor, Schwamborn, Dieter, editor, and Revell, Alistair, editor

Published
2018
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87. Subclinical rejection-free diagnostic after kidney transplantation using blood gene expression

Author

Richard Danger, Ludmilla Le Berre, Marion Cadoux, Clarisse Kerleau, Emmanuelle Papuchon, Hoa Le Mai, Thi-Van-Ha Nguyen, Pierrick Guérif, Emmanuel Morelon, Olivier Thaunat, Christophe Legendre, Dany Anglicheau, Carmen Lefaucheur, Lionel Couzi, Arnaud Del Bello, Nassim Kamar, Moglie Le Quintrec, Valentin Goutaudier, Karine Renaudin, Magali Giral, Sophie Brouard, Lionel Badet, Maria Brunet, Fanny Buron, Rémi Cahen, Ricardo Codas, Sameh Daoud, Valérie Dubois, Coralie Fournie, François Gaillard, Arnaud Grégoire, Alice Koenig, Charlène Lévi, Claire Pouteil-Noble, Maud Rabeyrin, Thomas Rimmelé, Gilles Blancho, Julien Branchereau, Diego Cantarovich, Agnès Chapelet, Jacques Dantal, Clément Deltombe, Lucile Figueres, Raphael Gaisne, Claire Garandeau, Caroline Gourraud-Vercel, Maryvonne Hourmant, Georges Karam, Delphine Kervella, Christophe Masset, Aurélie Meurette, Simon Ville, Christine Kandell, Anne Moreau, Florent Delbos, Alexandre Walencik, Anne Devis, Lucile Amrouche, Olivier Aubert, Lynda Bererhi, Alexandre Loupy, Frank Martinez, Arnaud Méjean, Rébecca Sberro-Soussan, Anne Scemla, Marc-Olivier Timsit, and Julien Zuber

Subjects
Nephrology
Published
2023

88. Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction

Author

Agathe Truchot, Marc Raynaud, Nassim Kamar, Maarten Naesens, Christophe Legendre, Michel Delahousse, Olivier Thaunat, Matthias Buchler, Marta Crespo, Kamilla Linhares, Babak J. Orandi, Enver Akalin, Gervacio Soler Pujol, Helio Tedesco Silva, Gaurav Gupta, Dorry L. Segev, Xavier Jouven, Andrew J. Bentall, Mark D. Stegall, Carmen Lefaucheur, Olivier Aubert, and Alexandre Loupy

Subjects
Nephrology
Abstract

Machine learning (ML) models have recently shown potential for predicting kidney allograft outcomes. However, their ability to outperform traditional approaches remains poorly investigated. Therefore, using large cohorts of kidney transplant recipients from 14 centers worldwide, we developed ML-based prediction models for kidney allograft survival and compared their prediction performances to those achieved by a validated Cox-Based Prognostication System (CBPS). In a French derivation cohort of 4000 patients, candidate determinants of allograft failure including donor, recipient and transplant-related parameters were used as predictors to develop tree-based models (RSF, RSF-ERT, CIF), Support Vector Machine models (LK-SVM, AK-SVM) and a gradient boosting model (XGBoost). Models were externally validated with cohorts of 2214 patients from Europe, 1537 from North America, and 671 from South America. Among these 8422 kidney transplant recipients, 1081 (12.84%) lost their grafts after a median post-transplant follow-up time of 6.25 years (Inter Quartile Range 4.33-8.73). At seven years post-risk evaluation, the ML models achieved a C-index of 0.788 (95% bootstrap percentile confidence interval 0.736-0.833), 0.779 (0.724-0.825), 0.786 (0.735-0.832), 0.527 (0.456-0.602), 0.704 (0.648-0.759) and 0.767 (0.711-0.815) for RSF, RSF-ERT, CIF, LK-SVM, AK-SVM and XGBoost respectively, compared with 0.808 (0.792-0.829) for the CBPS. In validation cohorts, ML models' discrimination performances were in a similar range of those of the CBPS. Calibrations of the ML models were similar or less accurate than those of the CBPS. Thus, when using a transparent methodological pipeline in validated international cohorts, ML models, despite overall good performances, do not outperform a traditional CBPS in predicting kidney allograft failure. Hence, our current study supports the continued use of traditional statistical approaches for kidney graft prognostication.

Published
2023

89. An automated histological classification system for precision diagnostics of kidney allografts

Author

Daniel Yoo, Valentin Goutaudier, Gillian Divard, Juliette Gueguen, Brad C. Astor, Olivier Aubert, Marc Raynaud, Zeynep Demir, Julien Hogan, Patricia Weng, Jodi Smith, Rouba Garro, Bradley A. Warady, Rima S. Zahr, Marta Sablik, Katherine Twombley, Lionel Couzi, Thierry Berney, Olivia Boyer, Jean-Paul Duong-Van-Huyen, Magali Giral, Alaa Alsadi, Pierre A. Gourraud, Emmanuel Morelon, Moglie Le Quintrec, Sophie Brouard, Christophe Legendre, Dany Anglicheau, Jean Villard, Weixiong Zhong, Nassim Kamar, Oriol Bestard, Arjang Djamali, Klemens Budde, Mark Haas, Carmen Lefaucheur, Marion Rabant, and Alexandre Loupy

Subjects
General Medicine, General Biochemistry, Genetics and Molecular Biology
Published
2023

97. Proteomic Indicators of Health Predict Alzheimer's Disease Biomarker Levels and Dementia Risk.

Author

Dark, Heather E., Paterson, Clare, Daya, Gulzar N., Peng, Zhongsheng, Duggan, Michael R., Bilgel, Murat, An, Yang, Moghekar, Abhay, Davatzikos, Christos, Resnick, Susan M., Loupy, Kelsey, Simpson, Missy, Candia, Julián, Mosley, Thomas, Coresh, Josef, Palta, Priya, Ferrucci, Luigi, Shapiro, Allison, Williams, Stephen A., and Walker, Keenan A.

Subjects
DISEASE risk factors, ALZHEIMER'S disease, HEALTH status indicators, GLIAL fibrillary acidic protein, LEAN body mass
Abstract

Objective: Few studies have comprehensively examined how health and disease risk influence Alzheimer's disease (AD) biomarkers. The present study examined the association of 14 protein‐based health indicators with plasma and neuroimaging biomarkers of AD and neurodegeneration. Methods: In 706 cognitively normal adults, we examined whether 14 protein‐based health indices (ie, SomaSignal® tests) were associated with concurrently measured plasma‐based biomarkers of AD pathology (amyloid‐β [Aβ]42/40, tau phosphorylated at threonine‐181 [pTau‐181]), neuronal injury (neurofilament light chain [NfL]), and reactive astrogliosis (glial fibrillary acidic protein [GFAP]), brain volume, and cortical Aβ and tau. In a separate cohort (n = 11,285), we examined whether protein‐based health indicators associated with neurodegeneration also predict 25‐year dementia risk. Results: Greater protein‐based risk for cardiovascular disease, heart failure mortality, and kidney disease was associated with lower Aβ42/40 and higher pTau‐181, NfL, and GFAP levels, even in individuals without cardiovascular or kidney disease. Proteomic indicators of body fat percentage, lean body mass, and visceral fat were associated with pTau‐181, NfL, and GFAP, whereas resting energy rate was negatively associated with NfL and GFAP. Together, these health indicators predicted 12, 31, 50, and 33% of plasma Aβ42/40, pTau‐181, NfL, and GFAP levels, respectively. Only protein‐based measures of cardiovascular risk were associated with reduced regional brain volumes; these measures predicted 25‐year dementia risk, even among those without clinically defined cardiovascular disease. Interpretation: Subclinical peripheral health may influence AD and neurodegenerative disease processes and relevant biomarker levels, particularly NfL. Cardiovascular health, even in the absence of clinically defined disease, plays a central role in brain aging and dementia. ANN NEUROL 2024;95:260–273 [ABSTRACT FROM AUTHOR]

Published
2024
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98. Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments

Author

Farris, Alton B., primary, Alexander, Mariam P., additional, Balis, Ulysses G. J., additional, Barisoni, Laura, additional, Boor, Peter, additional, Bülow, Roman D., additional, Cornell, Lynn D., additional, Demetris, Anthony J., additional, Farkash, Evan, additional, Hermsen, Meyke, additional, Hogan, Julien, additional, Kain, Renate, additional, Kers, Jesper, additional, Kong, Jun, additional, Levenson, Richard M., additional, Loupy, Alexandre, additional, Naesens, Maarten, additional, Sarder, Pinaki, additional, Tomaszewski, John E., additional, van der Laak, Jeroen, additional, van Midden, Dominique, additional, Yagi, Yukako, additional, and Solez, Kim, additional

Published
2023
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100. Report of the 2022 Banff Heart Concurrent: Focus on Non-HLA Antibodies in Rejection and the Pathology of “Mixed” Rejection

Author

Fedrigo, Marny, primary, Berry, Gerald J., additional, Coutance, Guillaume, additional, Reed, Elaine F., additional, Lin, Chieh-Yu, additional, Giarraputo, Alessia, additional, Kransdorf, Evan, additional, Thaunat, Olivier, additional, Goddard, Martin, additional, Angelini, Annalisa, additional, Neil, Desley AH., additional, Bruneval, Patrick, additional, Duong Van Huyen, Jean-Paul, additional, Loupy, Alexandre, additional, and Miller, Dylan V., additional

Published
2023
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