L-X Chen1, L C Francalacci2, H Bang3, A De Mattos1, R V Perez4, K-Y Jen5. 1. Section of Transplant Nephrology, Department of Medicine, University of California Davis, School of Medicine, Sacramento, California, USA. 2. Renal Vida Association, Blumenau, Brazil. 3. Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Sacramento, California, USA. 4. Division of Transplant Surgery, Department of Surgery, University of California Davis School of Medicine, Sacramento, California, USA. 5. Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, California, USA. Electronic address: kyjen@ucdavis.edu.
Abstract
BACKGROUND: The Kidney Donor Profile Index (KDPI) provides a numerical estimate of deceased donor kidney quality. The KDPI uses 10 donor factors but it does not consider histopathologic findings. We examined whether the KDPI and its component donor factors correlate with the degree of histopathologic changes seen in implantation renal allograft biopsies. METHODS: All deceased donor kidney transplants at our institution from July 1, 2016 to March 15, 2017 that had an implantation biopsy were included. The biopsies were graded based on the Banff criteria for interstitial fibrosis, tubular atrophy, arterial intimal fibrosis, and arteriolar hyalinosis, as well as percent glomerulosclerosis. Linear and logistic regression were used to assess the correlation between histopathologic findings and KDPI and the ability of these variables to predict 30-day serum creatinine (SCr) and delayed graft function (DGF). RESULTS: One hundred thirty-four recipients from 107 donors were included. All histopathologic features examined correlated significantly with KDPI, with arteriolar hyalinosis correlating most strongly. Arteriolar hyalinosis was also associated with the most component donor factors of the KDPI. Histopathologic findings alone or in combination with KDPI predicted 30-day SCr but not DGF. Using the KDPI in combination with degree of interstitial fibrosis and tubular atrophy was the best predictor of 30-day SCr. CONCLUSION: Histopathologic changes seen in implantation renal allograft biopsies correlate with KDPI and predict 30-day SCr. Using a combination of donor histopathologic findings and KDPI may be the best predictor of short-term graft function.
BACKGROUND: The Kidney Donor Profile Index (KDPI) provides a numerical estimate of deceased donor kidney quality. The KDPI uses 10 donor factors but it does not consider histopathologic findings. We examined whether the KDPI and its component donor factors correlate with the degree of histopathologic changes seen in implantation renal allograft biopsies. METHODS: All deceased donor kidney transplants at our institution from July 1, 2016 to March 15, 2017 that had an implantation biopsy were included. The biopsies were graded based on the Banff criteria for interstitial fibrosis, tubular atrophy, arterial intimal fibrosis, and arteriolar hyalinosis, as well as percent glomerulosclerosis. Linear and logistic regression were used to assess the correlation between histopathologic findings and KDPI and the ability of these variables to predict 30-day serum creatinine (SCr) and delayed graft function (DGF). RESULTS: One hundred thirty-four recipients from 107 donors were included. All histopathologic features examined correlated significantly with KDPI, with arteriolar hyalinosis correlating most strongly. Arteriolar hyalinosis was also associated with the most component donor factors of the KDPI. Histopathologic findings alone or in combination with KDPI predicted 30-day SCr but not DGF. Using the KDPI in combination with degree of interstitial fibrosis and tubular atrophy was the best predictor of 30-day SCr. CONCLUSION: Histopathologic changes seen in implantation renal allograft biopsies correlate with KDPI and predict 30-day SCr. Using a combination of donor histopathologic findings and KDPI may be the best predictor of short-term graft function.
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