The optimal frequency for hemodialysis in older adults with end-stage kidney disease (ESKD) has not been established. This study aims to investigate whether a twice-weekly dialysis schedule using an incremental approach can reduce hospitalization rates in the elderly with incident dialysis, compared with conventional thrice-weekly dialysis. Methods: We have designed a pragmatic randomized controlled trial to compare the effects of twice-weekly versus thrice-weekly hemodialysis in 428 ESKD individuals (dropout rate 20%) aged 60 years or older with residual kidney function (urine output, >500 mL/ day). The trial will be conducted across 18 referral hospital-based dialysis centers in Korea. Individual participants will be randomized to either a twice-weekly (with incremental approach) or thrice-weekly dialysis group and will be followed up for 24 months. The primary outcome of the study is all-cause hospitalization rate, while secondary outcomes include dialysis-specific hospitalization rates, mortality, quality of life, frailty, and cost-effectiveness. Participants have the flexibility to transfer to other dialysis centers as needed. The decision to increase dialysis frequency will be made by the treating physicians. The study is ongoing and will be completed in May 2026. Conclusion: This study will provide valuable insights into the benefits and risks of twice-weekly dialysis with an incremental approach in elderly with residual kidney function compared to thrice-weekly dialysis.

Extracellular vesicles (EVs) are nanosized membranous particles released by nearly all cell types, playing a crucial role in mediating cell-to-cell communication. The molecular profile of EVs often reflects that of their originating cells, rendering them valuable for therapeutic and diagnostic purposes. The kidney comprises various cell types, and urinary EVs are predominantly produced from tubular, glomerular, and urinary bladder cells. Within the nephron, EVs produced from the upper segments, such as glomerular tufts and proximal tubules, can be taken up by their downstream counterparts, thereby altering the physiology of recipient cells. Recent studies have demonstrated that this proximal-distal intra-nephron crosstalk via EVs is crucial for normal kidney physiology. Additionally, EVs from interstitial cells (e.g., fibroblasts and macrophages) have been demonstrated to mediate the exacerbation of kidney damage. This review provides up-to-date findings on the function of renal EVs during the progression of renal diseases. Furthermore, we discussed future directions to use the clinical potential of renal EVs as an early biomarker for renal disorders.

Chronic kidney disease (CKD) is a progressive condition characterized by declining kidney function principally driven by diabetes mellitus, glomerulonephritis, and hypertension. Although renal biopsy is the gold standard for diagnosing CKD, its invasive nature restricts its use for early detection and routine clinical applications. Current noninvasive biomarkers, including the estimated glomerular filtration rate and albumin-to-creatinine ratio, are useful indicators of kidney dysfunction but fall short in specificity and sensitivity required to distinguish between CKD subtypes, including diabetic kidney disease and glomerulonephritis. Recently, urinary extracellular vesicles (uEVs), nano-sized lipid bilayer entities ranging from 30 to 1,000 nm in diameter and secreted by renal cells, have emerged as promising biomarkers for CKD. uEVs encapsulate a diverse array of proteins, nucleic acids, and lipids that mirror kidney pathophysiology, presenting a noninvasive means to assess disease progression, inflammation, fibrosis, and oxidative stress within the urinary system. Furthermore, uEVs offer a molecular fingerprint of kidney health, positioning them as potential tools for precision medicine. This review explores the diagnostic potential of uEVs, underscoring the need for standardization in urine collection, normalization techniques, and uEV isolation methodologies. We also highlight uEV-based biomarkers that distinguish various CKD subtypes and mirror pathological changes within the kidneys and urogenital system. As molecular proxies of their cells of origin, uEVs hold significant promise in enhancing CKD diagnostics to enable early detection, disease classification, and the development of novel therapeutic strategies.

Renal fibrosis (RF) is a prevalent clinical symptom of numerous chronic kidney illnesses and a significant pathological alteration in end-stage renal disease resulting from various mechanisms, such as abnormally activated signaling pathways, microRNAs, aging, autophagy disorders, and fibrotic ecological niches, all of which contribute to RF development. Inhibiting, blocking, or delaying the aforementioned mechanisms may yield novel approaches for treating RF. This article explores advancements in the comprehension of the mechanisms and therapeutic approaches for RF.

Background: Immunoglobulin G4 (IgG4)-related disease (RD) is a newly recognized disease, and a few epidemiologic studies about this disorder have been published. This research aimed to demonstrate the clinical features and outcomes of IgG4-related kidney disease (RKD) and IgG4-related retroperitoneal fibrosis (RPF) compared to other organs’ involvement. Methods: Patients who were diagnosed with IgG4-RD from January 2009 to July 2019 at three medical institutions in South Korea were included. They were classified into three groups: RKD, RPF, and Others groups. The differences in symptoms, laboratory, histological and radiological findings, treatment, and outcomes among the three groups were evaluated. Results: Of 94 patients, 13 (13.8%) and 22 patients (23.4%) were classified into the RKD and RPF groups, respectively. There were older (p = 0.004) and more asymptomatic patients (p = 0.02) in the RKD and RPF groups. In the RKD group, hypocomplementemia (p = 0.003) and eosinophilia (p = 0.001) were more frequently identified. In logistic regression analysis, hypocomplementemia (odds ratio [OR], 14.04; 95% confidence interval [CI], 1.38–142.95) and decreased renal function at the time of diagnosis (OR, 0.95; 95% CI, 0.91–0.98) were associated with renal involvement. Older age (OR, 1.05; 95% CI, 1.00–1.11), male (OR, 6.11; 95% CI, 1.41–26.61), and higher serum IgG4 levels (OR, 1.00; 95% CI, 1.00–1.00) were associated with retroperitoneal involvement. The treatment duration was longer in the RKD and RPF groups (p = 0.01) with glucocorticoids. Conclusion Renal and retroperitoneal involvement in IgG4-RD presented clinical features that distinguish it from other organs’ involvement, such as incidental diagnosis, hypocomplementemia, eosinophilia, and the need for a longer duration of maintenance treatment.

Background: The heterogeneity of chronic kidney disease (CKD) and fragmented analysis methods hinder the precise identification of novel biomarkers. We addressed this challenge using two independent cohorts to integrate genomics and metabolomics, aiming to identify cause-specific biomarkers for CKD in the Korean population. Methods: A longitudinal genome-wide association study using the Cox proportional hazards model was conducted using the Ansan and Ansung cohort. To validate these genomic biomarkers and integrate them with plasma metabolomics biomarkers, we utilized a hospital-based biopsy cohort to identify cause-specific CKD biomarkers. Within the biopsy cohort, we analyzed four disease subsets, including type 2 diabetic kidney disease (DKD), hypertensive nephropathy (HN), immunoglobulin A nephropathy (IgAN), and membranous nephropathy (MN), and compared them with healthy individuals. Significant single nucleotide polymorphisms(SNPs) and metabolites for each CKD subset were identified through logistic regression and correlation-based network analyses. Subsequently, we analyzed the risk of disease progression associated with the identified pairs. Results: A total of 448 variants associated with CKD occurrence were identified, with significant differences in several genetic variants and metabolites observed among patients with DKD, HN, IgAN, and MN compared to healthy individuals. Among 36 SNP-metabolite pairs, those involing FOXB1 and ZFP42 were associated with DKD, whereas pairs involving MMRN1 and SYNJ2 were linked to MN. Notably, the rs1025170 variant in FOXB1 and tyrosine pair was correlated with DKD progression. Conclusion Integrating genomics and metabolomics across independent cohorts enables the discovery of cause-specific biomarkers for the occurrence and progression of CKD in the Korean population.

Background: Intradialytic hypotension (IDH) is a critical complication related to worse outcomes in patients undergoing maintenance hemodialysis. Herein, we addressed the impact of IDH on mortality and other outcomes in patients with severe acute kidney injury (AKI) requiring intermittent hemodialysis. Methods: We retrospectively reviewed 1,009 patients who underwent intermittent hemodialysis due to severe AKI. IDH was defined as either dialysis discontinuation due to hemodynamic instability or a decrease in systolic blood pressure (BP) of ≥30 mmHg, with or without a nadir systolic BP of <90 mmHg during the first session. The primary outcome was all-cause mortality, and transfer to the intensive care unit (ICU) due to unstable status was additionally analyzed. Hazard ratios (HRs) of outcomes were calculated using a Cox regression model after adjusting for multiple variables. Risk factors for IDH were evaluated using a logistic regression model. Results: IDH occurred in 449 patients (44.5%) during the first hemodialysis session. Patients with IDH had a higher mortality rate than those without IDH (40% vs. 23%; HR, 1.30; 95% confidence interval [CI], 1.02–1.65). The rate of ICU transfer was higher in patients experiencing IDH than in those without IDH (17% vs. 11%; HR, 1.43; 95% CI, 1.02–2.02). Factors such as old age, high BP and pulse rate, active malignancy, cirrhosis, and hypoalbuminemia were associated with an increased risk of IDH episodes. Conclusion The occurrence of IDH is associated with worse outcomes in patients with AKI requiring intermittent hemodialysis. Therefore, careful monitoring and early intervention of IDH may be necessary in this patient subset.

Background: With the aging population and advancements in medical care worldwide, the number of older patients with end-stage kidney disease continues to rise. This study aimed to identify factors associated with osteoporosis and osteopenia in older patients undergoing incident hemodialysis and assess their impact on mortality. Methods: We analyzed a large multicenter retrospective cohort of patients aged ≥70 years undergoing incident hemodialysis to identify factors associated with osteoporosis using logistic regression analysis and to assess the association of death with osteoporosis and osteopenia using Cox multivariable analysis. Results: Among 710 patients, 39.0% and 19.6% had osteoporosis and osteopenia, respectively. Osteoporosis was significantly associated with female sex, a history of fractures, and the absence of phosphate binder use. During a median follow-up of 36.8 months, 348 participants (58.8%) died. Mortality rates were the highest in the osteoporosis group (79.8%), followed by the osteopenia (77.2%) and normal bone mineral density (BMD) groups (35.2%). Cox regression analysis revealed that even after adjusting for covariates, the osteoporosis group was significantly associated with a higher mortality risk than the normal BMD group. Osteoporosis at the start of hemodialysis was significantly associated with higher mortality. Conclusion We should consider the importance of bone health in patients undergoing incident hemodialysis and pay attention to the use of phosphate binders and fracture prevention.