Search Results (5)

Background: Given the significant impact of delayed graft function (DGF) on transplant outcomes, the aim of this study was to develop and validate machine learning (ML) models capable of predicting the risk of DGF in deceased-donor kidney transplantation (DDKT). Methods: This retrospective cohort study was conducted using clinical and histopathological data collected between 2018 and 2022 at Ramathibodi Hospital from DDKT donors, recipients, and post-implantation time-zero kidney biopsy samples to develop predictive models. The performance of three ML models (neural network, random forest, and extreme gradient boosting [XGBoost]) and traditional logistic regression on an independent test data set was evaluated using the area under the receiver operating characteristic curve (AUROC) and Brier score calibration. Results: Among 354 DDKT recipients, 64 (18.1%) experienced DGF. The key contributing factors included a donor body mass index > 23 kg/m², donor diabetes mellitus, a prolonged cold ischemia time, a male recipient, and an interstitial fibrosis/tubular atrophy score of 2–3 in the time-zero kidney biopsy sample. The random forest model had a specificity of 99.96% and an AUROC of 0.9323, the neural network model had a specificity of 97.43% and an AUROC of 0.844, and the XGBoost model had a specificity of 99.81% and an AUROC of 0.989. A traditional statistical model had a specificity of 84.4% and an AUROC of 0.769. Conclusions: Predictive models, especially XGBoost models, have potential as tools for assessing DGF risk post-DDKT, guiding acceptance decisions, and avoiding risky biopsy, and they may be crucial in resource-limited settings. Full article

With an increasing number of marginal donors, additional methods for the evaluation of cadaveric kidney quality are required. This study aimed to evaluate pretransplant deceased donor serum (s) and urine (u) biomarkers, including neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), interleukin-18, and C-X-C motif chemokine 10 (CXCL10) for predicting early and late graft function. In total, 43 deceased kidney donors and 76 corresponding recipients were enrolled. Delayed graft function (DGF) occurred in 27.6% of cases. sIL-18, sKIM-1, uNGAL, and uKIM-1 were predictors of DGF. A model incorporating sIL-18, uKIM-1, and clinical factors was developed to predict DGF (AUROC 0.863). Univariate analysis showed a negative association between uKIM and graft eGFR at 6, 12, 24, and 36 months, but this was not confirmed in the multivariate analysis. In conclusion, we report a superior performance of donor biomarkers for predicting DGF and later graft function over serum creatinine. Higher levels of donor sIL-18 and uKIM in conjunction with expanded-criteria donors and longer cold ischemia times predicted DGF. With no renal tubular damage in zero-time donor biopsies, higher pretransplant urine and serum NGAL levels were associated with better allograft function one year after transplantation, and sNGAL with graft function three years after transplantation. Full article

Background: We have previously shown that metzincin protease ADAMTS-4 accompanies renal fibrogenesis, as it appears in the blood of hemodialysis patients. Methods: Native kidney (NKB) and kidney transplant (TXCI) biopsy samples as well as plasma from patients with various stages of CKD were compared to controls. In paired analysis, 15 TXCI samples were compared with their zero-time biopsies (TX0). Tissues were evaluated and scored (interstitial fibrosis and tubular atrophy (IFTA) for NKB and Banff ci for TXCI). Immunohistochemical (IHC) staining for ADAMTS-4 and BMP-1 was performed. Plasma ADAMTS-4 was detected using ELISA. Results: ADAMTS-4 IHC expression was significantly higher in interstitial compartment (INT) of NKB and TXCI group in peritubular capillaries (PTC) and interstitial stroma (INT). Patients with higher stages of interstitial fibrosis (ci > 1 and IFTA > 1) expressed ADAMTS-4 in INT more frequently in both groups (p = 0.005; p = 0.013; respectively). In paired comparison, TXCI samples expressed ADAMTS-4 in INT and PTC more often than TX0. ADAMTS-4 plasma concentration varied significantly across CKD stages, being highest in CKD 2 and 3 compared to other groups (p = 0.0064). Hemodialysis patients had higher concentrations of ADAMTS-4 compared to peritoneal dialysis (p < 0.00001). Conclusion: ADAMTS-4 might have a significant role in CKD as a potential novel diagnostic indicator. Full article

The final decision to accept an organ for transplantation remains a subjective one. With “poor organ quality” commonly cited as a major reason for kidney discard, accurate, objective, and reliable quality assessment is essential. In an era of increasingly higher-risk deceased donor kidneys, the catch is to accept those where the risk–benefit scale will tip in the right direction. Currently available assessment tools, such as risk-scores predicting outcome and zero-time biopsy, perform unsatisfactory, and assessment options during static cold storage are limited. Kidney perfusion technologies are finding their way into clinical practice, and they bring a new opportunity to assess kidney graft viability and quality, both in hypothermic and normothermic conditions. We give an overview of the current understanding of kidney viability assessment during ex situ kidney perfusion. A pragmatic framework to approach viability assessment is proposed as an interplay of three different compartments: the nephron, the vascular compartment, and the immune compartment. Although many interesting ways to assess kidney injury and function during perfusion have been proposed, none have reached the stage where they can reliably predict posttransplant outcome. Larger well-designed studies and validation cohorts are needed to provide better guidance. Full article

Background and objective: The demand for kidney transplants exceeds the existing supply. This leads to a recently growing interest of research in the area of factors that could prolong graft long-term outcomes and survival. In Lithuania, approximately 90% of kidney transplantations are from deceased donors. Donor organs are received and shared only inside the country territory in Lithuania; therefore, donor data is accurate and precise. This study was performed to present particularities of kidney transplantation data in Lithuania and to identify the effect of donor and recipient factors and histologic findings on renal graft outcomes. The aim of this study was to identify the effect of donor and recipient factors and histologic findings on renal graft outcomes.
Materials and methods: We analyzed the influence of deceased donor and recipient factors and histological findings on the graft function in 186 renal transplant patients. Graft survival was estimated within the first year after transplantation.
Results: The donors and recipients were older in worse eGFR group 1 year after transplantation. Dissimilarity of degree of glomerulosclerosis (GS), interstitial fibrosis (IF) and arteriolar hyalinosis (AH) were significant in inferior and superior renal function groups (GS >20% 11.4 vs. 0%, P = 0.017; IF 9.3 vs. 0%, P = 0.034; AH 69 vs. 26.2%, P < 0.001). Nine independent variables were significantly associated with a worse renal transplant function 1 year posttransplantation: AH (OR = 6.287, P < 0.001), an episode of urinary tract infection (OR = 2.769, P = 0.020), acute graft rejection (OR = 3.605, P = 0.037), expanded criteria (OR = 4.987, P = 0.001), female gender donors (OR = 3.00, P = 0.014), cerebrovascular disease caused donor brain death (OR = 5.00, P = 0.001), donor's age (OR = 1.07, P < 0.001), and recipient's age (OR = 1.047, P = 0.022). Worse renal graft survival 1 year posttransplantation was associated with a delayed graft function and a higher level of glomerulosclerosis in time-zero biopsy.
Conclusions: Donor factors, such as age, female gender, brain death of cerebrovascular cause and expanded criteria donor status had a significant negative impact on the renal graft function 1 year after transplantation. Recipients' age, urinary tract infection and acute graft rejection episodes after transplantation were associated with a worse kidney function 1 year after transplantation. Lower 1-year graft survival was related to a delayed graft function (DGF) and a higher degree of glomerulosclerosis.
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