Association of Implantation Biopsy Findings in Living Donor Kidneys With Donor and Recipient Outcomes.

glomerulosclerosis hypertension kidney biopsy kidney donor nephrosclerosis

Journal

American journal of kidney diseases : the official journal of the National Kidney Foundation
ISSN: 1523-6838
Titre abrégé: Am J Kidney Dis
Pays: United States
ID NLM: 8110075

Informations de publication

Date de publication:
23 Oct 2023
Historique:
received: 10 04 2023
revised: 31 07 2023
accepted: 28 08 2023
medline: 26 10 2023
pubmed: 26 10 2023
entrez: 25 10 2023
Statut: aheadofprint

Résumé

Some living donor kidneys are found to have biopsy evidence of chronic scarring and/or glomerular disease at implantation, but it is unclear if these biopsy findings help predict donor kidney recovery or allograft outcomes. Our objective was to identify the prevalence of chronic histological changes and glomerular disease in donor kidneys, and their association with donor and recipient outcomes. Retrospective cohort study. Single center, living donor kidney transplants from January 2010 to July 2022. Chronic histological changes, glomerular disease in donor kidney implantation biopsies. (a) for donors, single kidney eGFR increase, percent total eGFR loss, ≥40% eGFR decline from pre-donation baseline, eGFR<60ml/min/1.73m Biopsies were classified as having possible glomerular disease by pathologist diagnosis or chronic changes based on the percentage of glomerulosclerosis, interstitial fibrosis/tubular atrophy, and vascular disease. We used logistic regression to identify factors associated with the presence of chronic changes, linear regression to identify the association between chronic changes and single-kidney estimated glomerular filtration rate (eGFR) recovery, and time-to-event analyses to identify the relationship between abnormal biopsy findings and allograft outcomes. Among 1104 living donor kidneys, 155 (14%) had advanced chronic changes on implantation biopsy, and 12 (1%) had findings suggestive of possible donor glomerular disease. Adjusted logistic regression showed that age (OR 2.44 per 10 years, 95%CI 1.98-3.01), Hispanic ethnicity (OR 1.87, 95%CI 1.15-3.05), and hypertension (OR 1.92, 95%CI 1.01-3.64), were associated with a higher odds of chronic changes on implantation biopsy. Adjusted linear regression showed no association of advanced chronic changes with single-kidney eGFR increase or relative risk of eGFR <60 ml/min/1.73m Retrospective, absence of measured GFR. Approximately 1 in 7 living donor kidneys had chronic changes on implantation biopsy, primarily in the form of moderate vascular disease, and 1% had possible donor glomerular disease. Abnormal implantation biopsy findings were not significantly associated with 6-month donor eGFR outcomes or allograft survival.

Identifiants

pubmed: 37879529
pii: S0272-6386(23)00884-3
doi: 10.1053/j.ajkd.2023.08.022
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Auteurs

Brendan R Emmons (BR)

Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA; Columbia University Renal Epidemiology Group, New York, NY, USA.

Ibrahim Batal (I)

Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.

Kristen L King (KL)

Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA; Columbia University Renal Epidemiology Group, New York, NY, USA.

Miko Yu (M)

Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA; Columbia University Renal Epidemiology Group, New York, NY, USA.

Pietro A Canetta (PA)

Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.

P Rodrigo Sandoval (PR)

Department of Surgery, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.

Sumit Mohan (S)

Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA; Columbia University Renal Epidemiology Group, New York, NY, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.

Demetra Tsapepas (D)

Department of Transplant Analytics, New York- Presbyterian Hospital, New York, NY.

Joel T Adler (JT)

Department of Surgery and Perioperative Care, Dell Medical School, University of Texas at Austin, Austin, TX.

Lloyd E Ratner (LE)

Department of Surgery, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.

S Ali Husain (SA)

Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA; Columbia University Renal Epidemiology Group, New York, NY, USA. Electronic address: sah2134@cumc.columbia.edu.

Classifications MeSH