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Trajectories of glomerular filtration rate and progression to end stage kidney disease after kidney transplantation.
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; Loupy, Alexandre.
Afiliación
  • Raynaud M; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France.
  • Aubert O; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France; Kidney Transplant Department, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.
  • Reese PP; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France; Renal Electrolyte and Hypertension Division, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.
  • Bouatou Y; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France.
  • Naesens M; Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
  • Kamar N; Université Paul Sabatier, INSERM, Department of Nephrology and Organ Transplantation, CHU Rangueil & Purpan, Toulouse, France.
  • Bailly É; Nephrology and Immunology Department, Bretonneau Hospital, Tours, France.
  • Giral M; Department of Nephrology, Centre Hospitalier Universitaire, Nantes, France.
  • Ladrière M; Nephrology Dialysis Transplantation Department, University of Lorraine, Centre Hospitalier Universitaire, Nancy, France.
  • Le Quintrec M; Department of Nephrology, Centre Hospitalier Universitaire, Montpellier, France.
  • Delahousse M; Department of Transplantation, Nephrology and Clinical Immunology, Foch Hospital, Suresnes, France.
  • Juric I; Department of Nephrology, Arterial Hypertension, Dialysis and Transplantation, University Hospital Centre Zagreb, School of Medicine, University of Zagreb, Zagreb, Croatia.
  • Basic-Jukic N; Department of Nephrology, Arterial Hypertension, Dialysis and Transplantation, University Hospital Centre Zagreb, School of Medicine, University of Zagreb, Zagreb, Croatia.
  • Gupta G; Division of Nephrology, Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.
  • Akalin E; Albert Einstein College of Medicine, Renal Division Montefiore Medical Centre, Kidney Transplantation Program, Bronx, New York, USA.
  • Yoo D; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France.
  • Chin CS; Deep Learning in Medicine and Genomics, DNAnexus, San Francisco, California, USA.
  • Proust-Lima C; Population Health Research Centre, INSERM U1219, Bordeaux, France.
  • Böhmig G; Division of Nephrology and Dialysis, Department of Medicine III, General Hospital Vienna, Vienna, Austria.
  • Oberbauer R; Medical University of Vienna, Nephrology, Vienna, Austria.
  • Stegall MD; William J. von Liebig Centre for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, Minnesota, USA.
  • Bentall AJ; William J. von Liebig Centre for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, Minnesota, USA.
  • Jordan SC; Department of Medicine, Division of Nephrology, Comprehensive Transplant Centre, Cedars Sinai Medical Centre, Los Angeles, California, USA.
  • Huang E; Department of Medicine, Division of Nephrology, Comprehensive Transplant Centre, Cedars Sinai Medical Centre, Los Angeles, California, USA.
  • Glotz D; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France; Kidney Transplant Department, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.
  • Legendre C; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France; Kidney Transplant Department, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.
  • Montgomery RA; New York University Langone Transplant Institute, New York, New York, USA.
  • Segev DL; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Empana JP; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France.
  • Grams ME; Johns Hopkins Medical Institutions, George W. Comstock Centre for Public Health Research and Prevention, Baltimore, Maryland, USA.
  • Coresh J; Johns Hopkins Medical Institutions, George W. Comstock Centre for Public Health Research and Prevention, Baltimore, Maryland, USA.
  • Jouven X; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France.
  • Lefaucheur C; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France; Kidney Transplant Department, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.
  • Loupy A; Université de Paris, INSERM, PARCC, Paris Translational Research Centre for Organ Transplantation, Paris, France; Kidney Transplant Department, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France. Electronic address: alexandreloupy@inserm.com.
Kidney Int ; 99(1): 186-197, 2021 01.
Article en En | MEDLINE | ID: mdl-32781106
ABSTRACT
Although the gold standard of monitoring kidney transplant function relies on glomerular filtration rate (GFR), little is known about GFR trajectories after transplantation, their determinants, and their association with outcomes. To evaluate these parameters we examined kidney transplant recipients receiving care at 15 academic centers. Patients underwent prospective monitoring of estimated GFR (eGFR) measurements, with assessment of clinical, functional, histological and immunological parameters. Additional validation took place in seven randomized controlled trials that included a total of 14,132 patients with 403,497 eGFR measurements. After a median follow-up of 6.5 years, 1,688 patients developed end-stage kidney disease. Using unsupervised latent class mixed models, we identified eight distinct eGFR trajectories. Multinomial regression models identified seven significant determinants of eGFR trajectories including donor age, eGFR, proteinuria, and several significant histological features graft scarring, graft interstitial inflammation and tubulitis, microcirculation inflammation, and circulating anti-HLA donor specific antibodies. The eGFR trajectories were associated with progression to end stage kidney disease. These trajectories, their determinants and respective associations with end stage kidney disease were similar across cohorts, as well as in diverse clinical scenarios, therapeutic eras and in the seven randomized control trials. Thus, our results provide the basis for a trajectory-based assessment of kidney transplant patients for risk stratification and monitoring.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trasplante de Riñón / Fallo Renal Crónico Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trasplante de Riñón / Fallo Renal Crónico Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article