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Abnormal Liver Biopsies of Donor Grafts in Pediatric Liver Transplantation: How Do They Fare?

Jason GuoJorge A Sanchez-VivaldiMadhukar S PatelBenjamin K WangAndrew D ShubinYash KadakiaJigesh A ShahMalcolm P MacConmaraSteven HanishParsia A VagefiChristine S Hwang
Published in: Annals of transplantation (2024)
BACKGROUND Little is known about outcomes of pediatric patients transplanted using donor liver grafts with abnormal biopsy results. We assessed donor liver biopsy data to report characteristics and outcomes of abnormal livers transplanted in pediatric patients. MATERIAL AND METHODS We identified pediatric patients who received a liver transplant from a biopsied deceased donor between 2015 and 2022 using the national database UNOS Standard Transplant Analysis and Research files. Recipients were excluded if they received multi-organ transplants or were lost to follow-up. Livers with ≤5% macrosteatosis, no fibrosis, and no inflammation were classified as normal livers (NL). Allografts with >5% macrosteatosis, any fibrosis, or any inflammation were considered abnormal livers (AL). Donor and recipient demographic data and outcomes were examined. RESULTS Of the 3808 total pediatric liver transplants in the study period, there were 213 biopsied donor liver allografts transplanted into pediatric recipients. Of those, 114 were NL and 99 were AL. 35.4% (35/99) of the AL had >5% macrosteatosis with a mean of 7.6±11.4%, 64.6% (64/99) had any inflammation, and 18.2% (18/99) had any fibrosis. AL donors were significantly older than NL donors. AL recipients had higher PELD scores. There were no significant differences in length of stay, rejection rates and causes, or allograft survival between AL and NL. Multivariable analysis revealed that inflammation was independently associated with a significantly greater risk for graft failure. CONCLUSIONS Outcomes of abnormal livers are excellent. Inflammation was an independent risk factor for poor graft prognosis. Donor biopsies in pediatric liver transplantation can be a useful adjunct to assess outcomes.
Keyphrases
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  • metabolic syndrome
  • electronic health record
  • skeletal muscle
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  • middle aged
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  • data analysis