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Background Patients with chronic kidney disease (CKD) should be educated about their condition so that they can initiate dialysis at the optimal time and make an informed choice between dialysis modalities. Shared decision-making (SDM) empowers patients to select their own treatment and improves patient outcomes. This study aimed to evaluate whether SDM affects the choice of renal replacement therapy among CKD patients. Methods This is a multicenter, open-label, randomized, pragmatic clinical trial. A total of 1,194 participants with CKD who are considering renal replacement therapy were enrolled. The participants will be randomized into three groups in a 1:1:1 ratio: the conventional group, extensive informed decision-making group, and SDM group. Participants will be educated twice at months 0 and 2. Videos and leaflets will be provided to all patients. Patients in the conventional group will receive 5 minutes of education at each visit. The extensive informed decision-making group will receive more informed and detailed education using intensive learning materials for 10 minutes each visit. Patients in the SDM group will be educated for 10 minutes each visit according to illness perception and item-based analysis. The primary endpoint is the ratio of hemodialysis to peritoneal dialysis and kidney transplantation among the groups. Secondary outcomes include unplanned dialysis, economic efficiency, patient satisfaction, patient evaluation of the process, and patient adherence. Discussion The SDM-ART is an ongoing clinical study to investigate the effect of SDM on the choice of renal replacement therapy in patients with CKD.

Background T50 is a novel serum-based marker that assesses the propensity for calcification in serum. A shorter T50 indicates a greater propensity to calcify and has been associated with cardiovascular disease and mortality among patients with chronic kidney disease. The factors associated with T50 and the correlation between T50 and bone mineral density (BMD) are unknown in hemodialysis (HD) patients. Methods This cross-sectional study included 184 patients undergoing HD. Individuals were grouped into tertiles of T50 to compare the demographic and disease indicators of the tertiles. Linear regression was used to evaluate the association between T50 and hip and spinal BMD in a multivariate model. Results Mineral and inflammatory parameters, including serum phosphate (r = –0.156, p = 0.04), albumin (r = 0.289, p < 0.001), and high-sensitivity C-reactive protein (r = –0.224, p = 0.003) levels, were associated with T50. We found a weak association between T50 and BMD in the total hip area in the unadjusted model (β = 0.030, p = 0.04) but did not find a statistically significant association with the total hip (β = 0.017, p = 0.12), femoral neck (β = –0.001, p = 0.96), or spinal BMD (β = 0.019, p = 0.33) in multivariable-adjusted models. Conclusion T50 was moderately associated with mineral and inflammatory parameters but did not conclusively establish an association with BMD in HD patients. Broad-scale future studies should determine whether T50 can provide insights into BMD beyond traditional risk factors in this population.

Background Shared decision-making is a two-way symmetrical communication process in which clinicians and patients work together to achieve the best outcome. This study aimed to develop self-assessment items as a decision aid for choosing a dialysis modality in patients with chronic kidney disease (CKD) and to assess the construct validity of the newly developed items. Methods Five focus group interviews were performed to extract specific self-assessment items regarding patient values in choosing a dialysis modality. After survey items were refined, a survey of 330 patients, consisting of 152 hemodialysis (HD) and 178 peritoneal dialysis (PD) patients, was performed to validate the self-assessment items. Results The self-assessment for the decision aid was refined to 35 items. The structure of the final items appeared to have three dimensions of factors; health, lifestyle, and dialysis environment. The health factor consisted of 12 subscales (α = 0.724), the lifestyle factor contained 11 subscales (α = 0.624), and the dialysis environment factor was represented by 12 subscales (α = 0.694). A structural equation model analysis showed that the relationship between the decision aid factors (health, lifestyle, and dialysis environment), patients’ CKD perception, and cognition of shared decision-making differed between HD patients and PD patients. Conclusion We developed and validated self-assessment items as part of a decision aid to help patients with CKD. This attempt may assist CKD patients in making informed and shared decisions closely aligned with their values when considering dialysis modality.

Background The soluble forms of suppression of tumorigenicity-2 (ST2) and galectin-3 have been proposed as novel biomarkers for cardiac fibrosis and heart failure, as well as predictors of cardiovascular events and mortality. However, there are limited data on the association between soluble ST2 and galectin-3 and clinical outcomes in patients with kidney failure on replacement therapy. To determine this, we examined the associations between soluble ST2 and galectin-3 and all-cause mortality and cardiovascular events in patients on hemodialysis. Methods This study included maintenance hemodialysis patients (over 18 years old) who consented to preserve their serum in the Biobank at our institution between March 2014 and March 2015. We used Cox proportional hazards regression analysis to evaluate the associations between soluble ST2, galectin-3 levels, and clinical outcomes. The primary outcome was all-cause mortality, the secondary outcome was cardiovascular disease, and patients were followed for both outcomes until March 2018. Results A total of 296 patients were analyzed in this study. The mean age was 57 ± 13 years, and 53.0% were male. Serum concentration of soluble ST2 was significantly associated with higher mortality, after adjustment for confounding factors, but was not associated with cardiovascular disease. Serum galectin-3 level was not independently associated with either outcome after adjustment. Conclusion Elevated soluble ST2 is independently associated with an increased risk of mortality, but not with cardiovascular disease, in patients on hemodialysis. Elevated galectin-3 was not associated with mortality or cardiovascular disease.

Background: We investigated the long-term effect of AST-120, which has been proposed as a therapeutic option against renal disease progression, in patients with advanced chronic kidney disease (CKD). Methods: We performed post-hoc analysis with a per-protocol group of the K-STAR study (Kremezin study against renal disease progression in Korea) that randomized participants into an AST-120 and a control arm. Patients in the AST-120 arm were given 6 g of AST-120 in three divided doses, and those in both arms received standard conventional treatment. Results: The two arms did not differ significantly in the occurrence of composite primary outcomes (log-rank P = 0.41). For AST-120 patients with higher compliance, there were fewer composite primary outcomes: intermediate tertile hazard ratio (HR) 0.62, 95% confidence interval (CI) 0.38 to 1.01, P = 0.05; highest tertile HR 0.436, 95% CI 0.25 to 0.76, P = 0.003. The estimated glomerular filtration rate level was more stable in the AST-120 arm, especially in diabetic patients. At one year, the AST-120-induced decrease in the serum indoxyl sulfate concentration inversely correlated with the occurrence of composite primary outcomes: second tertile HR 1.59, 95% CI 0.82 to 3.07, P = 0.17; third tertile HR 2.11, 95% CI 1.07 to 4.17, P = 0.031. Furthermore, AST-120 showed a protective effect against the major cardiovascular adverse events (HR 0.51, 95% CI 0.26 to 0.99, P = 0.046). Conclusion: Long-term use of AST-120 has potential for renal protection, especially in diabetic patients, as well as cardiovascular benefits. Reduction of the serum indoxyl sulfate level may be used to identify patients who would benefit from AST-120 administration.

Background: In many countries, nephrologists follow clinical practice guidelines for mineral bone disorders to control secondary hyperparathyroidism (SHPT) associated with abnormal serum calcium (Ca) and phosphorus (P) levels in patients undergoing maintenance hemodialysis (MHD). The Kidney Disease Outcomes Quality Initiative (KDOQI) Guidelines have long been used in Korea, and this study was undertaken to investigate the current status of serum Ca and P control in MHD patients. Methods: Data were collected from a total of 1,018 patients undergoing MHD without intercurrent illness, in 17 hemodialysis centers throughout the country. Serum levels of Ca, P, and intact parathyroid hormone (iPTH) were measured over 1 year, and the average values were retrospectively analyzed. Results: Serum levels of Ca, P, and the Ca×P product were 9.1±0.7 mg/dL, 5.3±1.4 mg/dL, and 48.0±13.6 mg2/dL2, respectively. However, the percentages of patients with Ca, P, and Ca × P product levels within the KDOQI guideline ranges were 58.7%, 51.0%, and 70.7%, respectively. Of the 1,018 patients, 270 (26.5%) had iPTH >300 pg/mL (uncontrolled SHPT), whereas 435 patients (42.7%) showed iPTH

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Fluid overload has been linked to mortality in peritoneal dialysis (PD) patients. Residual renal function is important for patient survival. Therefore, the objective of this study was to analyze volume status in PD patients, and to identify associations between volume status and residual renal volume. We performed a cross-sectional, observational, single-center study. Body composition was measured using a portable multifrequency whole-body bioimpedance assessment, and residual renal volume was measured. We examined 75 patients (66.7% male), with a mean age of 50.7±13.0 years and mean body mass index of 23.5±3.5 kg/m2. Length of time on dialysis was 46.5±37.9 months. Anuria (≤100 mL/day) is associated with relative overhydration (ROH) (p=0.014) and extracellular water volume (p=0.014). In a multivariable linear regression analysis, anuria (coefficient β=0.217, p=0.025), diabetes (coefficient β=0.213, p=0.027), and serum albumin level (coefficient β=−0.533, p