Tacrolimus has a narrow therapeutic window; a whole-blood trough target concentration of between 5 and 8 ng/mL is considered a safe level for stable kidney transplant recipients. Tacrolimus serum levels must be closely monitored to obtain a balance between maximizing efficacy and minimizing dose-related toxic effects. Currently, there is no specific tacrolimus toxicity biomarker except a graft biopsy. Our study aimed to identify specific serum metabolites correlated with tacrolinemia levels using serum high-precision liquid chromatography–mass spectrometry and standard laboratory evaluation. Three machine learning algorithms were used (Naïve Bayes, logistic regression, and Random Forest) in 19 patients with high tacrolinemia (8 ng/mL) and 23 patients with low tacrolinemia (5 ng/mL). Using a selected panel of five lipid metabolites (phosphatidylserine, phosphatidylglycerol, phosphatidylethanolamine, arachidyl palmitoleate, and ceramide), Mg²⁺, and uric acid, all three machine learning algorithms yielded excellent classification accuracies between the two groups. The highest classification accuracy was obtained by Naïve Bayes, with an area under the curve of 0.799 and a classification accuracy of 0.756. Our results show that using our identified five lipid metabolites combined with Mg²⁺ and uric acid serum levels may provide a novel tool for diagnosing tacrolimus toxicity in kidney transplant recipients. Further validation with targeted MS and biopsy-proven TAC toxicity is needed.

Aim: Our study aimed to assess the usefulness of contrast-enhanced ultrasound (CEUS) in the initial evaluation of the graft function.Materials and method: A cross-sectional study was conducted in the early postoperative period on patients with kidney transplantation, between September 2017 to November 2018. Two groups of patients were investigated; delayed graft function (DGF) and early graft function (EGF). All patients were examined by grey scale, Doppler ultrasound and CEUS.Results: Nineteen patients, aged from 23 to 64 years (mean age 50 years), 7 in the DGF group and 12 in the EGF group were evaluated. The resistive index (RI) show significantly higher values in the DGF group at the level of upper interlobar artery (p=0.025) and medium interlobar artery (p=0.02). The CEUS investigation shows a greater region of interest (ROI) area (p=0.02) and lower values for wash-out area under the curve (WoAUC) (p=0.047) and respectively wash-in and wash-out area under the curve (WiWoAUC) (p=0.031) for the DGF group. The quality of fit (QoF) proved lower in the DGF group either for evaluation of global graft (p=0.012), cortex (p=0.025), or medulla (p=0.009).A significant relationship among all patients was found between the glomerular filtration rate (GFR) [ml/min] and the renal artery fall time (FT) [s] (p=0.012), WoAUC [a.u.] (p=0.03), and WiWoAUC [a.u.] (p=0.024). The arterial QoF [%] was associated with the arterial ROI area (p=0.048).Conclusions: Intensity CEUS parameters WoAUC and WiWoAUC may be useful to diagnose and follow-up grafts with delayed function. Additional studies on larger cohorts are required for the recommendation of CEUS as a routine evaluation of the transplanted kidney.

(1) Background: Renal transplantation (KT) is the most efficient treatment for chronic kidney disease among pediatric patients. Antigenic matching and epitopic load should be the main criteria for choosing a renal graft in pediatric transplantation. Our study aims to compare the integration of new histocompatibility predictive algorithms with classical human leukocyte antigen (HLA) matching regarding different types of pediatric renal transplants. (2) Methods: We categorized our cohort of pediatric patients depending on their risk level, type of donor and type of transplantation, delving into discussions surrounding their mismatching values in relation to both the human leukocyte antigen Matchmaker software (versions 4.0. and 3.1.) and the most recent version of the predicted indirectly identifiable HLA epitopes (PIRCHE) II score. (3) Results: We determined that the higher the antigen mismatch, the higher the epitopic load for both algorithms. The HLAMatchmaker algorithm reveals a noticeable difference in eplet load between living and deceased donors, whereas PIRCHE II does not show the same distinction. Dialysis recipients have a higher count of eplet mismatches, which demonstrates a significant difference according to the transplantation type. Our results are similar to those of four similar studies available in the current literature. (4) Conclusions: We suggest that an integrated data approach employing PIRCHE II and HLAMatchmaker algorithms better predicts histocompatibility in KT than classical HLA matching.

Renal cell carcinoma (RCC) accounts for 2–3% of all adult malignant neoplasms and is even rarer in patients under 45 years old. Clear-cell carcinoma represents most of the pathological subtypes. Our study aimed to investigate the association between preoperative computer tomography imagistic evaluation and histopathological diagnosis of renal tumors in young adults. Patients younger than 45 years old with renal tumors who were referred for medical treatment at the Clinical Institute of Urology and Renal Transplantation Cluj-Napoca from 2012 to 2019 were considered eligible for the study. Medical charts were retrospectively reviewed, and patients with complete data regarding preoperative diagnostic, histopathological evaluation, and follow-up data, regardless of gender, were included in the study. Sixteen patients younger than 45 years fulfilled all the inclusion criteria and were evaluated. With two exceptions, the evaluated patients were in a T1 and T2 stage, with no vascular invasion or of the adjacent organs. Two-thirds of our patients had a clear-cell renal cell carcinoma. None of our patients fitted in the low complexity surgery category of the R.E.N.A.L. Nephrometry Score and 37.5% of them benefited from partial nephrectomy. Half of the suppositions made based on imaging were concordant with the histopathology report. Fifteen of the patients showed no recurrence during the respective follow-up interval. Computer tomography imaging reports showed on our sample a higher concordance with the histopathological report in the more common subtypes (namely Renal Clear Cell RCC), with typical appearances.

Background/Objectives: Delayed graft function (DGF) is a major complication after kidney transplantation, affecting graft and patient survival. Although well-studied in Western populations, data from Eastern Europe are limited, and the prognostic significance of DGF severity, particularly renal replacement therapy (RRT) duration, is not well-defined. Methods: We conducted a retrospective analysis of 479 adult recipients of brain-dead donor (DBD) kidney transplants at a high-volume transplant center in Romania (2017–2024). DGF was defined as the need for dialysis within seven days’ post-transplant. Baseline characteristics, graft function, and survival outcomes were compared between DGF and non-DGF groups. Kidney function was evaluated using the Estimated Glomerular Filtration Rate (eGFR). Patient and graft survival were assessed using Kaplan–Meier curves and log-rank tests. DGF severity was stratified by RRT duration (≤14 vs. >14 days). Results: DGF occurred in 28.8% of patients (adjusted 24%). Those with DGF had a higher Body Mass Index (BMI), greater comorbidity (Charlson Index, Estimated Post-Transplant Survival (EPTS) score), longer pre-transplant dialysis, and higher Kidney Donor Profile Index (KDPI) donor kidneys. DGF was associated with lower graft survival at one, three, and five years and reduced patient survival at three and five years. Longer RRT was associated with progressively worse outcomes, with the poorest prognosis in patients needing >14 days. Conclusions: Delayed graft function was significantly associated with reduced graft and patient survival. Prolonged DGF time was found to be predictive for poorer outcomes.

Background/Objectives: The Kidney Donor Profile Index (KDPI) is an important metric for evaluating the quality of donor kidneys and predicting post-transplant outcomes. The Estimated Post-Transplant Survival (EPTS) score is a tool for estimating kidney transplant candidates’ long-term survival. However, their validity in Eastern European cohorts is yet to be explored. This study aimed to evaluate the predictive accuracy of the KDPI and EPTS in a local cohort. Methods: We conducted a seven-year retrospective observational study at a high-volume transplant center in Romania. Data from 353 patients who received kidney transplants from brain-dead donors (DBDs) between 2017 and 2023 were analyzed. The KDPI scores were stratified into 85%, while EPTS was stratified into 60%. Primary outcomes included one-, three-, and five-year post-transplant graft function as estimated by eGFR, while secondary outcomes involved patient and graft survival rates at one, three, and five years. Results: Graft function and survival rates were significantly lower with increasing KDPI and EPTS scores, reinforcing the utility of both scores in clinical decision-making. Conclusions: Despite their limitations, KDPI and EPTS remain valuable predictors in our patient population.