UNASSIGNED: Despite a lack of clinical trial data, β-blockers are widely prescribed to dialysis patients. Whether specific β-blocker agents are associated with improved long-term outcomes compared with alternative β-blocker agents in the dialysis population remains uncertain.
UNASSIGNED: We analyzed data from an international cohort study of 10 125 patients on maintenance hemodialysis across 18 countries that were newly prescribed a β-blocker medication within the Dialysis Outcomes and Practice Patterns Study (DOPPS). The following β-blocker agents were compared: metoprolol, atenolol, bisoprolol and carvedilol. Multivariable Cox proportional hazards models were used to estimate the association between the newly prescribed β-blocker agent and all-cause mortality. Stratified analyses were performed on patients with and without a prior history of cardiovascular disease.
UNASSIGNED: The mean (standard deviation) age in the cohort was 63 (15) years and 57% of participants were male. The most commonly prescribed β-blocker agent was metoprolol (49%), followed by carvedilol (29%), atenolol (11%) and bisoprolol (11%). Compared with metoprolol, atenolol {adjusted hazard ratio (HR) 0.77 [95% confidence interval (CI) 0.65-0.90]} was associated with a lower mortality risk. There was no difference in mortality risk with bisoprolol [adjusted HR 0.99 (95% CI 0.82-1.20)] or carvedilol [adjusted HR 0.95 (95% CI 0.82-1.09)] compared with metoprolol. These results were consistent upon stratification of patients by presence or absence of a prior history of cardiovascular disease.
UNASSIGNED: Among patients on maintenance hemodialysis who were newly prescribed β-blocker medications, atenolol was associated with the lowest mortality risk compared with alternative agents.

UNASSIGNED: The use of hemodiafiltration (HDF) as a kidney replacement therapy (KRT) in patients with end-stage kidney disease (ESKD) has sparked a debate regarding its advantages over conventional hemodialysis (HD). The present study aims to shed light on this controversy by comparing mortality rates and cause-specific deaths between ESKD patients receiving HDF and those undergoing HD.
UNASSIGNED: Systematic review and meta-analysis of randomized controlled trials (RCTs). The search was conducted using PubMed, EMBASE, and Cochrane Central on July 1, 2023.
UNASSIGNED: Adult patients with ESKD on regular KRT.
UNASSIGNED: Studies with participants undergoing HDF.
UNASSIGNED: Primary outcomes were all-cause mortality, cardiovascular (CV) mortality, deaths related to infections, and kidney transplant. We also evaluated the endpoints for deaths related to malignancy, myocardial infarction, stroke, arrhythmias, and sudden death.
UNASSIGNED: We included RCTs evaluating HDF versus HD. Crossover trials and studies with overlapping populations were excluded. Two authors independently extracted the data following predefined search criteria and quality assessment. The risk of bias was assessed with Cochrane\'s RoB2 tool.
UNASSIGNED: We included 5 RCTs with 4,143 patients, of which 2,078 (50.1%) underwent HDF, whereas 2,065 (49.8%) were receiving HD. Overall, HDF was associated with a lower risk of all-cause mortality (risk ratio [RR], 0.81; 95% confidence interval [CI], 0.73-0.91; P < 0.001; I2 = 7%) and a lower risk of CV-related deaths (RR, 0.75; 95% CI, 0.61-0.92; P = 0.007; I2 = 0%). The incidence of infection-related deaths was also significantly different between therapies (RR, 0.69; 95% CI, 0.50-0.95; P = 0.02; I2 = 26%).
UNASSIGNED: In individual studies, the HDF groups achieved varying levels of convection volume.
UNASSIGNED: Compared with those undergoing HD, patients receiving HDF experienced a reduction in all-cause mortality, CV mortality, and infection-related mortality. These results provide compelling evidence supporting the use of HDF as a beneficial intervention in ESKD patients undergoing KRT.
UNASSIGNED: Registered at PROSPERO: CRD42023438362.

Telemedicine has emerged as a transformative solution in the realm of healthcare, particularly in addressing the complexities and challenges associated with chronic kidney disease (CKD) and dialysis care. This editorial explores the potential of telemedicine in revolutionizing the management and treatment of kidney diseases, highlighting its role in mitigating the burdens faced by healthcare systems worldwide. With the advent of high-quality audio and visual platforms, telemedicine has facilitated remote healthcare delivery, enabling healthcare professionals to provide exceptional care from a distance. This is particularly relevant in the context of CKD and end-stage kidney disease (ESKD) patients, where the need for continuous care and monitoring is critical. This editorial underscored the escalating incidence of ESKD, driven by prevalent risk factors, such as diabetes, hypertension, and obesity, and the disparities in access to treatments among different populations. The integration of telemedicine in CKD and dialysis care presents a pathway toward a more accessible, efficient, and cost-effective healthcare delivery. It offers numerous benefits, including the convenience of remote monitoring, enhanced patient compliance, reduced healthcare costs, and improved patient satisfaction and quality of life. Telemedicine facilitates a multidisciplinary approach to care, allowing for timely intervention and follow-ups, which are crucial for patients undergoing dialysis. Moreover, the COVID-19 pandemic has accelerated the adoption of telemedicine, showcasing its effectiveness in maintaining continuity of care amid restrictions on patient contact. Despite its promising potential, its implementation of telemedicine faces several challenges, including regulatory hurdles, concerns about the security of medical information, and the adequacy of virtual platforms to capture crucial health indicators. In addition, the financial implications of telemedicine and its long-term sustainability remain areas requiring further investigation. In conclusion, telemedicine holds significant promise in enhancing the care and management of CKD and dialysis patients. It offers a vital solution to overcome the geographical barrier, improve access to care, and alleviate the strain on healthcare systems. However, further research is needed to fully understand its benefits compared to traditional care models and to address the challenges associated with implementation. The expansion of telemedicine in kidney care signifies a step toward a more inclusive, efficient, and patient-centered healthcare future.

UNASSIGNED: The incidence of chronic kidney disease (CKD) and end-stage kidney disease (ESKD) is increasing worldwide. Hemodialysis (HD) is the mainstay of renal replacement therapy for patients with ESKD. Risk factors associated with late arteriovenous fistula (AVF) failure in HD patients are poorly investigated. Therefore, the aim of this study was to identify factors associated with late AVF failure in HD patients.
UNASSIGNED: Patients with end-stage renal disease (ESRD) who underwent forearm or upper arm AVF angioplasty at Second Affiliated Hospital of Chongqing Medical University between September 2009 and August 2018 were included. Patients were followed up for 36 months. Baseline characteristics were collected using electronic medical records (EMRs). Variables associated with late AVF failure were identified using Cox proportional hazards models.
UNASSIGNED: There were 137 patients (64% male, 36% female) included in this study, with 50 (36.5%) experiencing AVF failure. Univariable log-rank analysis showed that age, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), intact parathyroid hormone (iPTH), albumin (ALB), and AVF patency rate were significantly different between patients who did and did not experience AVF failure. Cox regression analysis showed that CRP [P=0.002, hazard ratio (HR) =2.719, 95% confidence interval (CI) for HR: 1.432-5.164], ESR (P=0.030, HR =2.431, 95% CI: 1.088-5.434), iPTH (P=0.013, HR =0.325, 95% CI: 0.133-0.793), and ALB (P=0.040, HR =0.539, 95% CI: 0.299-0.972) were independently associated with AVF failure. Kaplan-Meier survival analysis showed that the cumulative patency rates of AVF at 6, 12, 18, 24, 30, and 36 months were 84%, 74%, 69%, 64%, 64%, and 64%, respectively.
UNASSIGNED: CRP, ESR, iPTH, and ALB were associated with AVF failure and should be used as reference in clinical practice.

UNASSIGNED: In the United States, end-stage kidney disease (ESKD) is responsible for high mortality and significant healthcare costs, with the number of cases sharply increasing in the past 2 decades. In this study, we aimed to reduce these impacts by developing an ESKD model for predicting its occurrence in a 2-year period.
UNASSIGNED: We developed a machine learning (ML) pipeline to test different models for the prediction of ESKD. The electronic health record was used to capture several kidney disease-related variables. Various imputation methods, feature selection, and sampling approaches were tested. We compared the performance of multiple ML models using area under the ROC curve (AUCROC), area under the Precision-Recall curve (PR-AUC), and Brier scores for discrimination, precision, and calibration, respectively. Explainability methods were applied to the final model.
UNASSIGNED: Our best model was a gradient-boosting machine with feature selection and imputation methods as additional components. The model exhibited an AUCROC of 0.97, a PR-AUC of 0.33, and a Brier score of 0.002 on a holdout test set. A chart review analysis by expert physicians indicated clinical utility.
UNASSIGNED: An ESKD prediction model can identify individuals at risk for ESKD and has been successfully deployed within our health system.

UNASSIGNED: Kidney transplantation has become the most cost-effective treatment for patients with end-stage kidney disease (ESKD) and offers them the highest quality of life. Yet, kidney donation is often inaccessible due to cultural and traditional beliefs about organ donation. The goal of our study is to assess the value of kidney donation using the Willingness to Accept (WTA) technique. We also aim to understand the factors influencing an individual\'s willingness to donate an organ.
UNASSIGNED: A self-administered survey was completed by 985 participants from the general public. The quantitative method and survey design that were chosen used descriptive, correlational, nonparametric, and multivariate statistical tests.
UNASSIGNED: Most of the respondents, 895 (90.9%) are not willing to donate a kidney while alive. Four hundred and five (41.1%) of the respondents are not willing to donate a kidney after their death, while the rest are willing to donate their kidney after their death without financial compensation. The same attitude applies to the donation of a kidney from their relatives. Significant predictors from the results of the logistic regression model in predicting the lowest (minimal) amount that will encourage donation of one kidney after death were: Marital status; Nationality; Adi card holder; Knowing people who need a kidney donation; confidence in the medical staff; and consideration of the family\'s opinions regarding organ donation.
UNASSIGNED: Using cost benefit analysis (CBA), with the aim of evaluating the willingness of individuals to accept payment for innovative medical procedures, such as kidney donation, allows an assessment of the perceived value of the medical procedure and enables policymakers to decide whether to allocate funds or offer subsidies for kidney donation, given the limited healthcare resources available. During our research, we found that most participants did not support the commercialization of organs. Our recommendation for policymakers and health professionals is to continue providing adequate funding for kidney donations and to implement educational programs aimed at improving attitudes towards organ donation.

UNASSIGNED: Chronic microinflammation contributes to the progression of chronic kidney disease (CKD). Aspirin (ASA) has been used to treat inflammation for centuries. The effects of long-term low-dose ASA on CKD progression are unclear.
UNASSIGNED: We examined the association of long-term use of newly initiated low-dose ASA (50-200 mg/day) with all-cause mortality using Cox proportional hazard models; with cardiovascular/cerebrovascular (CV) mortality and with end stage kidney disease (ESKD) using Fine and Gray competing risk regression models; with progression of CKD defined as patients\' eGFR slopes steeper than -5 mL/min/1.73m2/year using logistic regression models in a nationwide cohort of US Veterans with incident CKD. Among 831,963 patients, we identified 385,457 who either initiated ASA (N = 21,228) within 1 year of CKD diagnosis or never received ASA (N = 364,229). We used propensity score matching to account for differences in key characteristics, yielding 29,480 patients (14,740 in each group).
UNASSIGNED: In the matched cohort, over a 4.9-year median follow-up period, 11,846 (40.2%) patients (6,017 vs. 5,829 ASA users vs. non-users) died with 25.8% CV deaths, and 934 (3.2%) patients (476 vs. 458) reached ESKD. ASA users had a higher risk of faster decline of kidney functions, i.e., steeper slopes (OR 1.30 [95%CI: 1.18, 1.44], p < 0.01), but did not have apparent benefits on mortality (HR 0.97 [95%CI: 0.94, 1.01], p = 0.17), CV mortality (Sub-Hazard Ratio [SHR]1.06 [95%CI: 0.99-1.14], p = 0.11), or ESKD (SHR1.00 [95%CI: 0.88, 1.13], p = 0.95).
UNASSIGNED: Chronic low-dose ASA use was associated with faster kidney function deterioration, and no association was observed with mortality or risk of ESKD.

BACKGROUND: We aimed to validate the Japanese histological grading classification (JHGC) in our population of IgA immunoglobulin (IgAN) cases.
METHODS: We conducted a retrospective cohort study at Taichung Veterans General Hospital in Taiwan from January 2011 to December 2023. The process involved assessing JHGC\'s clinical, histological, and merged grading system. Composite renal outcomes based on glomerular filtrate rate (eGFR) were considered.
RESULTS: The study included 359 IgAN by renal biopsies. Kidney function at the time of biopsy was suboptimal, with average SCr of 1.3 mg/dL, eGFR of 54.0 mL/min/1.732 m2, and urine protein-creatinine ratio (UPCR) of 1.2 mg/mg. JHGC effectively identified different severity levels of histological and clinical aspects in Taiwanese IgAN. Initial 4-histological classification showed significantly higher MEST-C scores (p < 0.001). Merging grade III and IV was reasonable in Japanese and Taiwanese populations. The clinical grading system (3C) was associated with histological status and proteinuria, but there was no significant trend with SCr, eGFR, and blood urea nitrogen. Significant differences were found among the three groups (log-rank p < 0.01), but C-grade I and II lacked significant difference in long-term renal outcomes. We separated UPCR < 0.5 mg/mg into two groups: eGFR≥ and <60 mL/min/1.732 m2. The new grading system effectively differentiated risk factors for renal outcomes (log-rank p < 0.01), suggesting the need for separation in Taiwanese IgAN.
CONCLUSIONS: Our study externally validated JHGC in non-Japanese IgAN. Despite applicability to our population, we recommend a new classification specifically for Taiwanese IgAN patients with increased case numbers in eGFR ≥ 60 mL/min/1.732 m2 and UPCR < 0.5 g/day group.

Ceftriaxone (CTRX) does not require dose adjustment based on the renal function status and is used to treat infections. Recently, several studies reported the incidence of antibiotic-associated encephalopathy due to CTRX in patients with end-stage renal disease (ESRD). We experienced a case of CTRX-related encephalopathy in a patient on hemodialysis. When CTRX-related encephalopathy was discovered, the CTRX concentrations were measured in the blood and cerebrospinal fluid (CSF). The highest blood and CSF CTRX concentrations in this patient were 967 and 100.7 μg/mL, respectively, which were approximately 10 times higher than the CSF concentrations in a previously evaluated patient with CTRX encephalopathy. The concentration of CTRX may be increased in patients with ESRD. Hence, encephalopathy must be suspected in this patient group when CTRX is used.

Self-care, or the dynamic, daily process of becoming actively involved in one\'s own care, is paramount to prevent and manage complications of end-stage kidney disease. However, many older dialysis patients face distinctive challenges to adequate engagement in self-care. One promising strategy for facilitating self-care among older dialysis patients and their care partners is the utilization of mobile health (mhealth). mHealth encompasses mobile and wireless communication devices used to improve healthcare delivery, patient and care partner outcomes, and patient care. In other disease populations, mHealth has been linked to maintenance of or improvements in self-management, medication compliance, patient education, and patient-provider communication, all of which can slow disease progression. Although mHealth is considered feasible, acceptable, and clinically useful, this technology has predominately targeted younger patients. Thus, there is a need to develop mHealth for older dialysis patients and their care partners. In this article, we describe current mHealth usage in older dialysis patients, including promising findings, challenges, and research gaps. Given the lack of research on mHealth among care partners of older dialysis patients, we highlight lessons learned from other disease populations to inform the future design and implementation of mHealth for these key stakeholders. We also propose that leveraging care partners represents an opportunity to meaningfully tailor mHealth applications and, by extension, improve care partner physical and mental health and decrease caregiver burden. We conclude with a summary of future directions to help older dialysis patients and their care partners receive recognition as target end-users amid the constant evolution of mHealth.