International Journal of Nephrology and Renovascular Disease最新文献

Background: Acute kidney injury (AKI) is a serious complication following high-dose methotrexate (HD-MTX) treatment, despite established preventive measures. This study presents a case report and a retrospective review of patients treated with HD-MTX, aiming to identify risk factors for AKI and propose a modified treatment protocol.

Methods: We report a case of a 43-year-old man with diffuse large B-cell lymphoma who developed severe AKI after HD-MTX therapy. Additionally, a retrospective review of 70 patients receiving HD-MTX at our institution was conducted to identify predictors of AKI. Serum methotrexate levels were analyzed to determine their significance in predicting AKI.

Results: The index patient developed methotrexate intoxication and severe AKI despite receiving standard prophylactic measures, requiring temporary hemodialysis. The retrospective review identified serum methotrexate levels as a significant predictor of AKI (OR 11.84, 95% CI: 2.62-53.53, p = 0.001). Higher initial serum methotrexate levels correlated with the development of AKI.

Conclusion: Timely measurement of serum methotrexate levels is crucial in managing and preventing AKI in patients undergoing HD-MTX therapy. Based on our findings, we propose a modified HD-MTX treatment protocol to reduce the incidence of AKI. This includes earlier serum methotrexate level monitoring and adjustments in urine alkalization and leucovorin dosing strategies.

Primary membranous nephropathy (PMN) is one of the prevalent pathological types of adult primary nephrotic syndrome. Pathogenic autoantibodies targeting podocyte antigens such as phospholipase A2 receptor (PLA2R) lead to the disease. Patients frequently experience notable adverse effects when treated with conventional immunosuppressive therapies. Rituximab (RTX), a mouse/human monoclonal antibody, selectively depletes B cells and leads to a decrease in the antibody levels in the circulation, which helps to alleviate membranous nephropathy. Various RTX dosage regimens have been applied globally in the PMN treatment with satisfactory effects. Nevertheless, the optimal dosage of RTX has yet to be determined. This article reviews the application of different doses of RTX in the management of PMN so far.

Background: Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease, and podocytopathy is an early manifestation of DKD characterized by the urinary excretion of podocyte-specific proteins, such as nephrin and podocin. Asymmetric dimethylarginine (ADMA)-a biomarker of endothelial dysfunction-is associated with progressive kidney dysfunction. However, the mechanism of endothelial dysfunction in DKD progression is unclear. The aim of this study was to investigate the correlations of ADMA levels with nephrin, podocin, and the podocin:nephrin ratio (PNR) in DKD patients.

Methods: A cross-sectional study of 41 DKD outpatients was performed in two hospitals in Jakarta from April-June 2023. The collected data included the subjects' characteristics, histories of disease and medication, and relevant laboratory data. Serum ADMA was measured using liquid chromatography, while urinary podocin and nephrin were measured using the enzyme-linked immunosorbent assay (ELISA) method. A correlation analysis was performed to evaluate the correlation of ADMA with nephrin, podocin, and PNR. Regression analysis was performed to determine confounding factors.

Results: The mean value of ADMA was 70.2 (SD 17.2) ng/mL, the median for nephrin was 65 (20-283 ng/mL), and the median of podocin was 0.505 (0.433-0.622) ng/mL. ADMA correlated significantly with nephrin (r = 0.353, p = 0.024) and PNR (r = -0.360, p = 0.021), but no correlation was found between ADMA and podocin (r = 0.133, p = 0.409). The multivariate analysis showed that body mass index was a confounding factor.

Conclusion: This study revealed weak positive correlations between ADMA and urinary nephrin and between ADMA and PNR. No correlation was found between ADMA and urinary podocin.

Chronic kidney disease (CKD) remains a major public health burden and a leading cause of mortality worldwide and in the United Arab Emirates (UAE). Alongside its clinical and humanistic burden, CKD care is associated with a significant carbon footprint. In this narrative review, we present an overview of the carbon footprint of current CKD treatments and the results of an analysis estimating the carbon footprint of CKD treatments in the UAE. Using the life cycle assessment (LCA) method and local data from the published national reports and inventory sources, we estimated that haemodialysis leads to greenhouse gas (GHG) emissions of ~12.8 tons of CO₂ equivalents (CO₂eq) per person in the UAE annually. Thus, the decarbonisation of CKD care is crucial in establishing an environmentally sustainable healthcare system. We propose a framework to decarbonise CKD care in the UAE that tackles the carbon footprint of CKD care in the UAE by focusing on three main pillars: Delaying early CKD and slowing its progression; reducing anthropogenic emissions from CKD and dialysis care by promoting best practices and eco-friendly technologies; and enhancing access to kidney transplantation. Such approaches are relevant not only for the UAE but also for global healthcare systems aiming towards net-zero emissions.

Introduction: Hyperkalemia is common in heart failure (HF) patients on renin angiotensin aldosterone inhibitors (RAASi), in chronic kidney disease (CKD), and in hemodialysis, and it negatively impacts their management. New potassium binders, such as sodium zirconium cyclosilicate (SZC), are effective in management of acute and chronic hyperkalemia. However, guidelines inconsistencies and lack of standardized treatment protocols are hindering proper and wider use of such agents. Therefore, an expert panel from Kuwait developed a consensus statement to address hyperkalemia management in acute settings, in HF, in CKD, and in hemodialysis.

Methods: A three-step modified Delphi method was adopted to develop the present consensus, which consisted of two rounds of voting and in-between a virtual meeting. Twelve experts from Kuwait participated in this consensus. Statements were developed and shared with experts for voting. A meeting was held to discuss statements that did not reach consensus at the first round and then the remaining statements were shared for final voting.

Results: The consensus consists of 44 statements involving an introduction to and the management of hyperkalemia in acute settings, HF, CKD, and hemodialysis. Thirty-six statements approved unanimously in the first vote. In the second vote, four statements were removed and four were approved after editing.

Conclusion: Hyperkalemia management lacks standardized definitions, treatment thresholds and consistent guidelines and laboratory practices. This consensus is in response to lack of standardized treatment in the Arabian Gulf, and it aims to establish guidance on hyperkalemia management for healthcare practitioners in Kuwait and highlight future needs.

Purpose: In the kidneys, Systemic Lupus Erythematosus leads to Lupus Nephritis (LN), a form of glomerulonephritis. There is evidence that patients with LN may present activation of specific pathways for podocyte injury. This injury can occur through different mechanisms such as loss of podocyte adhesion to the glomerular basement membrane, cell death or dedifferentiation. Podocyturia with consequent podocytopenia has been described in some nephropathies such as LN, highlighting the importance of studying podocyte injuries in this condition. Evaluating in situ morphological characteristics of podocytes becomes relevant for a better understanding of the processes involved in their pathogenesis. This study investigated podocytes in different classes of LN in renal biopsies performed by the Kidney Research Center at the Federal University of Triângulo Mineiro.

Patients and methods: Twenty control cases and 29 biopsy cases diagnosed with LN were selected, divided according to the histopathological classes of the disease. Podocyte density was assessed through immunohistochemistry for Wilms tumor 1 protein and the evaluation of foot process effacement was performed by transmission electron microscopy.

Results: Podocyte density was lower in the LN and this reduction was observed in all analyzed classes when compared to the control group. More foot process effacement was observed in the LN group, with more effacement in classes I/II and class IV compared to the control group. The class IV group showed more foot process effacement than the class III group and presented higher proteinuria levels compared to the classes I/II group. A strong, positive, and significant correlation was observed between the activity index and foot process effacement in the class IV group.

Conclusion: Podocytes play an important role in the development of LN, and possibly, injuries to these cells are more closely related to the inflammatory/diffuse proliferative cellular process developed in class IV LN.

Background: Malnutrition inflammation score (MIS) is an instrument for assessing the nutritional status of stage 5 CKD patients, while simplified creatinine index (SCI) is used to assess muscle mass indirectly.

Purpose: This study aims to analyse the correlation between SCI and MIS, as well as determine the SCI cut-off value as a predictor of malnutrition in stage 5 CKD patients on maintenance HD.

Methods: This research was an analytical observational study with a cross-sectional study approach. The 132 research subjects were stage 5 CKD patients at the HD Unit of RSUP Dr. Hasan Sadikin Bandung. The research used the Rank-Spearman test with SPSS for correlative bivariate analysis. The area under the curve (AUC) on the receiver operating characteristic (ROC) curve was analysed to find the SCI cut-off value as a predictor of malnutrition in stage 5 CKD patients.

Results: Sixty-three subjects (47.7%) were classified as good nutrition and 69 subjects (52.3%) as poor nutrition. The average SCI value in this study was 24.5 mg/kg/day ± SD 3.2 mg/kg/day, with a median MIS value was 6. This study showed a significant negative correlation between SCI and MIS (r = -0.586, p < 0.001). The optimal SCI cut-off from the ROC curve analysis value was ≤ 24.53 mg/kg/day (sensitivity = 76.8%; specificity = 79.4%).

Conclusion: A negative correlation existed between SCI and MIS, with an SCI value ≤ 24.53 indicating poor nutritional status in stage 5 CKD patients on maintenance HD. SCI can be used as a predictor of malnutrition at a lower cost and easier.

Purpose: This study aimed to identify the best-performing algorithm for predicting Acute Kidney Injury (AKI) necessitating dialysis following cardiac surgery.

Patients and methods: The dataset encompassed patient data from a tertiary cardiothoracic center in Malaysia between 2011 and 2015, sourced from electronic health records. Extensive preprocessing and feature selection ensured data quality and relevance. Four machine learning algorithms were applied: Logistic Regression, Gradient Boosted Trees, Support Vector Machine, and Random Forest. The dataset was split into training and validation sets and the hyperparameters were tuned. Accuracy, Area Under the ROC Curve (AUC), precision, F-measure, sensitivity, and specificity were some of the evaluation criteria. Ethical guidelines for data use and patient privacy were rigorously followed throughout the study.

Results: With the highest accuracy (88.66%), AUC (94.61%), and sensitivity (91.30%), Gradient Boosted Trees emerged as the top performance. Random Forest displayed strong AUC (94.78%) and accuracy (87.39%). In contrast, the Support Vector Machine showed higher sensitivity (98.57%) with lower specificity (59.55%), but lower accuracy (79.02%) and precision (70.81%). Sensitivity (87.70%) and specificity (87.05%) were maintained in balance via Logistic Regression.

Conclusion: These findings imply that Gradient Boosted Trees and Random Forest might be an effective method for identifying patients who would develop AKI following heart surgery. However specific goals, sensitivity/specificity trade-offs, and consideration of the practical ramifications should all be considered when choosing an algorithm.