BMC Nephrology

ABSTRACT Importance: The prevalence of chronic kidney disease (CKD) is increasing, with aging being a major contributor. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are well established therapies for CKD; however, adults aged 80 years or older have been underrepresented in previous large-scale trials. Consequently, evidence regarding effects of SGLT2i therapy in this cohort remains limited. Objective: To evaluate the association of SGLT2i initiation with mortality, kidney outcomes and cardiovascular outcomes among patients over 80 years of age and CKD. Design, Setting, Participants: This retrospective cohort study used data from TriNetX Research Network, a multicenter electronic health record database. To ensure comparable standard of care and SGLT2i eligibility, the period for the occurrence of the index event was restricted to January 1, 2021, until January 1, 2025. Propensity score matching was performed to balance comorbidities, laboratory parameters, concomitant medications, and frailty-associated factors between groups. Exposures: Initiation of SGLT2i therapy vs. non-use Main Outcomes and Measures: Outcome analysis focused on all-cause mortality, major adverse kidney events (MAKE) and major adverse cardiovascular events (MACE). Cox proportional hazards models were used to estimate hazard ratios with 95% confidence intervals; following propensity score matching, results were considered as adjusted hazard ratios (aHR). Results: After propensity score matching, 5,038 patients were included in each group. During two years of follow-up, SGLT2i initiation was associated with lower all-cause mortality (aHR 0.818; 95% CI 0.746 - 0.896, p<0.0001) and fewer MAKE events (aHR 0.779; 95% CI 0.0.715 - 0.850, p<0.0001). No significant difference in MACE was observed (aHR 1.007; 95%CI 0.938 - 1.082, p=0.84). Results were generally consistent across subgroups. Risk of acute kidney injury was higher in the SGLT2i group, while incident dialysis and end-stage renal disease were significantly reduced. Acute myocardial infarction and acute heart failure were increased in the SGLT2i group. Conclusion and Relevance: Regarding survival and kidney endpoints, even the oldest CKD patients seem to benefit from SGLT2i treatment, which was associated with reduced mortality as well as improved long-term renal outcomes. MACE showed no significant differences, while specific cardiac events were increased, reflecting possible safety concerns requiring further investigation in this specific age group.

Vitamin D sterols, phosphorus binders and calcimimetics are used to treat chronic kidney disease mineral and bone disorder (CKD-MBD) in hemodialysis. With few randomized trials, providers may titrate agents differently reflecting equipoise and opportunities for clinical trials. We studied patients initiating in-center hemodialysis at Dialysis Clinic, Inc facilities from 2006-2015 and who remained on hemodialysis for [&ge;]90 days (n=23,549). Multinomial logit models assessed titration among users of each medication at the start of the month considering static and dynamic CKD-MBD laboratories. Similarly parameterized logistic models assessed treatment initiation. Differences across facilities were quantified as random effects and corresponding median odds ratios. We observed patterns of titration associated with CKD-MBD laboratories including albumin-corrected serum calcium (Ca), serum phosphorus and parathyroid hormone (PTH) and minimal impact of patient characteristics. Best fit models incorporated 3 months of lagged Ca and phosphorus values and linear splines for current Ca, phosphorus and PTH values. Absolute titration probabilities for vitamin D sterols and calcimimetics were influenced by all three CKD-MBD parameters, such that Ca and phosphorus values altered the threshold PTH at which escalation and de-escalation probabilities crossed. Median odds ratios indicated the greatest facility variation for vitamin D sterol titration. Providers titrate CKD-MBD medications based largely on the full CKD-MBD laboratory phenotype, including the recent serum Ca, phosphorus and PTH history. Facility variation suggests equipoise in titration of vitamin D sterols with opportunities for clinical trials.

Objective: To determine the absolute risk of starting dialysis versus mortality among adults with chronic kidney disease (CKD) treated at EsSalud from 2013 to 2022, utilizing data from the Renal Health Surveillance system (VISARE). Methods: This retrospective cohort study analyzed clinical records from the VISARE system (EsSalud). We estimated rates of dialysis initiation and death using Fine & Gray competitive risk models. Additionally, we calculated Restricted Mean Survival Time (RMST), adjusting for age, sex, clinical stage, and geographic region. Results: Among 142,770 adults with confirmed CKD and available glomerular filtration rate data, only 15.2% had albumin-to-creatinine ratio measurements, allowing KDIGO staging of 40,404 patients (28.3%). Mortality without having previously started dialysis exceeded the probability of starting renal replacement therapy (RRT) from G1, becoming more marked in G3 of chronic kidney disease (CKD); the possibility of dialysis is only greater, as expected, in G5. This outcome was most prevalent in regions with limited healthcare coverage. The combination of diabetes, hypertension, and age over 55 (the triad) was associated with reduced restricted mean survival time at both 5- and 10-year horizons across all enrollment cohorts. While Lima saw the highest rates of renal replacement therapy initiation, the Andean and Amazonian regions reported the lowest indicators. Conclusions Death without prior dialysis was the dominant outcome from G1 to G3 in this Peruvian cohort with national insurance, with direct implications for prognostic counseling, recalibration of renal failure risk equations, and equitable expansion of nephrology services in underserved regions. Keywords: Renal Insufficiency, Chronic; Competitive Risk; Diabetes Mellitus; Hypertension; Mortality; Mass Screening.

Rationale & Objective: People who live in rural areas with advanced chronic kidney disease (CKD) face well-documented structural barriers to receiving care, yet little is known about how they experience their illness or perceive interactions with their healthcare teams. We aimed to characterize the lived experiences and care perceptions of adults living in rural areas with advanced, pre-dialysis CKD. Study Design: We conducted semi-structured qualitative interviews with patients and care partners. Setting & Participants: We recruited patients with advanced CKD (stages 4-5, not on dialysis) and their care partners from a single hospital-based nephrology clinic in northern New England serving a predominantly rural population. Analytical Approach: We analyzed interview transcripts using participatory Practical Thematic Analysis (PTA), an inductive, stakeholder-engaged approach to qualitative analysis. Results: We interviewed 12 patients and 4 care partners. Four themes were identified: (1) logistical challenges of rural CKD care were pervasive but frequently normalized as an expected feature of rural life; (2) disease progression and future treatments were sources of uncertainty and concern, with expectations about dialysis often shaped by peer accounts rather than clinical discussion; (3) clinical conversations centered on laboratory results and medications, leaving emotional concerns and psychologic challenges unaddressed; and (4) physical symptoms and lifestyle changes were common but frequently attributed to comorbid conditions rather than to CKD. Limitations: Recruitment from a single clinic with a small, racially homogeneous sample limits transferability. While in-person recruitment may have excluded patients with greater transportation barriers, those who attended represent a population navigating substantial access challenges to receive care. Conclusions: Adults living in rural areas with advanced CKD experience logistical, emotional, and informational challenges broadly consistent with those reported in non-rural CKD populations. Patients normalized geographic barriers and did not consistently identify rurality as a source of disadvantage, even as structural barriers persisted. These findings support the development of structured communication approaches in nephrology care that invite discussion of disease trajectory, daily life impacts, and emotional concerns.

Background: Initiation of emergency dialysis, often requiring temporary catheter owing to unprepared definitive vascular access, is associated with infectious and vascular complications and suggests advanced chronic kidney disease (CKD) care gaps. Previous studies focused on kidney failure or dialysis timing. This study aimed to predict initiation of emergency dialysis using machine learning and baseline data. Methods: This retrospective cohort study used the Japan Medical Data Center claims data (2014-2022). Adults with an estimated glomerular filtration rate (eGFR) <15 mL/min/1.73 m2 were included. The primary outcome was initiation of emergency dialysis (temporary catheter code without evidence of previous access preparation). Participants were randomly divided into derivation (80%) and validation (20%) cohorts. Logistic regression, support vector machine, XGBoost, LightGBM, and random forest models were evaluated using internal cross-validation, post-hoc calibration of the selected model, and bootstrap confidence intervals. Results: The cohort included 3,062 individuals (derivation; n=2,449, validation; n=613). Emergency dialysis was initiated in 237 participants (7.7%); 185 (7.6%) and 52 (8.5%) in the derivation and validation cohorts, respectively. Validation area under the receiver operating characteristic curve ranged from 0.781-0.799, with the highest value observed for random forest (0.799, 95% confidence interval; 0.740-0.850). Risk stratification showed clear event enrichment in higher predicted risk categories. SHAP analyses identified hemoglobin, proteinuria, baseline eGFR, diabetes history, and diuretic use as key predictors. Decision curve analysis showed greater net benefit than eGFR alone at lower threshold probabilities. Conclusions: Baseline machine learning models showed moderate discrimination for initiation of emergency dialysis and identified clinically plausible predictors. These findings support potential use for risk stratification, although external validation and evaluation within pre-specified care pathways are needed before implementation.

Background: The dietary approaches to stop hypertension (DASH) diet is often recommended to patients with chronic kidney disease, although evidence regarding its efficacy in this population is limited. Our study tested the hypothesis that increased adherence to the dietary approaches to stop hypertension (DASH) diet score would be associated with longer time to kidney function decline among Veterans. Methods: We conducted a retrospective cohort study of 251,921 Veterans enrolled in the Million Veteran Program (MVP). The DASH diet score was calculated from the food frequency questionnaire and categorized into tertiles. The primary outcome was a composite of: Kidney event or death, where a kidney event was defined as a sustained 40% decline in estimated glomerular filtration rate (eGFR) or end-stage kidney disease (ESKD). Cox regression models compared the hazard for both outcomes by DASH score tertiles. We examined modification by ancestry, sex and other clinical characteristics Results: The median age was 67 years and 90% of Veterans were men. There were 59,269 (23.5%) who experienced the primary composite outcome, during the maximum follow-up of 10 years (median 6.1 years). Crude incidence rates for the kidney event and death outcome were 43.3, 40.4, and 36.8 per 1000 person-years of DASH score by tertiles. DASH score was associated with a lower hazard ratio (HR) for the primary composite outcome; third vs first tertile 0.81 (95% Confidence Interval (CI) 0.80 - 0.83) and second vs first tertile HR 0.90 [95% CI 0.88 - 0.92]. In subgroup analysis for individuals of African ancestry, Admixed American, and Females, only the third tertile of the DASH score was associated with a statistically significant reduction in composite outcome. Conclusion: Beneficial associations of the DASH diet were observed across subgroups. Future research is needed to understand gene and environmental factors that influence the observed subgroup differences

Background. Chronic kidney disease (CKD) affects 10-13% of adults worldwide but remains largely undiagnosed until advanced stages. Hospitalization provides an opportunity for early detection through opportunistic urine albumin-to-creatinine ratio (UACR) measurement. Methods. We conducted a prospective three-arm study of opportunistic CKD screening in general internal medicine wards at Hadassah Mt. Scopus (MS), Hadassah Ein Kerem (EK), and Shaare Zedek Medical Center (SZMC) in Jerusalem (Protocol HMO-23-0300). Adult inpatients without known CKD or recent UACR were enrolled. Pathological UACR was defined as [&ge;]30 mg/g. Confirmed CKD required two pathological measurements [&ge;]90 days apart (KDIGO-compatible). eGFR was computed using the 2021 CKD-EPI race-free equation. Pooled proportions were estimated by fixed-effects logit meta-analysis; odds ratios by DerSimonian-Laird random-effects models. Results. A total of 158 patients were enrolled (MS n=50, EK n=57, SZMC n=51). Pathological first UACR was identified in 43/158 patients (27.2%; 95% CI 21.3-34.1%; I2=0% across centers). Of 24 patients with a second UACR available, 14 (58%) confirmed CKD, yielding a pooled confirmed-CKD rate of 8.9% of all screened patients. In-hospital mortality was significantly higher among patients with pathological UACR (9.3% vs ~2%; Fisher's exact p=0.012). In per-center multivariate logistic regression, three predictors reached pooled significance: BUN (OR 1.10 per mg/dL, 95% CI 1.04-1.17, p=0.002, I2=0%), heart failure (OR 3.21, 95% CI 1.34-7.70, p=0.009, I2=0%), and diabetes mellitus (OR 2.54, 95% CI 1.11-5.82, p=0.028, I2=17%). Cardiac/vascular admissions had the highest pathological UACR rate (~42%); GI/hepatic admissions had 0%. Conclusions. Opportunistic inpatient UACR screening identifies previously unrecognized CKD in approximately 9% of general internal medicine patients, with consistent results across three independent centers. BUN elevation, heart failure, and diabetes are the strongest independent predictors. Pathological UACR carries significant short-term mortality risk, supporting integration of routine screening into inpatient care pathways.

Background Anticoagulants are high-risk medications that require careful consideration of the risks and benefits. In the setting of advanced kidney disease decisions around prescribing anticoagulants is problematic. This relates to a lack of good-quality evidence and the altered renal clearance and protein binding in kidney disease. This leads to prescribing variation and results in patients experiencing different standards of care. The aim of this study was to explore the factors influencing anticoagulant prescribing decisions among nephrology and haematology healthcare professionals in commonly encountered scenarios, in order to better understand variation in prescribing practice. Methods Three case-vignettes were presented to 15 haematology and nephrology professionals as part of a semi-structured interview. Participants were purposively selected based on variable responses to a UK anticoagulant prescribing practice survey. An inductive thematic analysis was undertaken as described by Braun and Clark with an iterative review process to identify final themes. Results There were five main themes that arose from the analysis; evidence, patient factors, knowledge and experience, team influence and systems and they were present across all the three vignettes. The prescribing of anticoagulation in advanced kidney disease is strongly influenced by the knowledge and expertise gleaned by prescribers previous experiences and the incorporation of patient factors. Prescribers commonly seek opinion from senior staff and other members of the multiprofessional team to support their decision making. Decisions are also influenced by organisational factors that are beyond their individual control. Conclusion Development of guidelines, delivery of education and good-quality evidence is needed to improve prescribing variation and ultimately the quality of care provided to patients with advanced kidney disease.

Introduction People with kidney failure receiving haemodialysis experience significantly high rates of depression. However, there is a lack of evidence on how to treat depression in this population. A significant barrier to effective treatment is the high treatment burden of haemodialysis, which makes additional appointments prohibitive. Behavioural activation (BA) is an evidence-based brief therapy for depression that has been delivered in a variety of different clinical settings. However, it has not previously been evaluated in the haemodialysis setting. Methods This study aims to evaluate the feasibility and acceptability of a cluster randomised controlled trial (cRCT) of intradialytic BA for people with kidney failure. The study consists of three main components: A pilot cRCT, where we will recruit 52 people who are receiving haemodialysis and experiencing symptoms of depression across two sites. Patients will be cluster-randomised to either BA or usual care and will be followed up for three months; a qualitative process evaluation using semi-structured interviews to explore the experiences of patients, healthcare professionals and carers; and a feasibility economic evaluation exploring the feasibility of collecting healthcare resource use data. Results Key findings will include the feasibility of screening and recruiting participants, participant retention, completion of clinical outcome measures, and the acceptability of the intervention. Conclusion If feasible, the next step will be to conduct a definitive, adequately powered cRCT to determine the effectiveness of the intervention in this population, so that we can improve the identification and management of depression for people with kidney failure.

Background: Current understanding of acute kidney injury (AKI) risk factors remains largely descriptive, offering limited precision into how specific biomarker values or physiologic thresholds influence susceptibility. We aimed to synthesize knowledge from machine learning models trained across multiple health systems to identify generalizable, value-specific risk drivers and biomarker interactions contributing to AKI risk. Methods: We analyzed electronic health records (EHRs) from 785,497 adult inpatients between 2010 and 2019 across nine U.S. academic medical centers within PCORnet. Interpretable gradient boosting machine models were independently developed at each health system to quantify predictor-outcome associations. Meta-regression was applied to integrate these site-level results, characterize nonlinear value-risk relationships, and identify bivariate interactions between predictors. Results: Meta-analysis revealed consistent, value-specific risk drivers across health systems. An increase in glucose from 100 mg/dL to 140 mg/dL was associated with a 1.46-fold higher risk of AKI. Chloride and anion gap also demonstrated elevated AKI risk with risk increases overlapping portions of their reference ranges, with anion gap showing a 1.14-fold increase across 4-12 mmol/L and chloride a 1.28-fold increase across 96-100 mEq/L. Electrolytes including potassium, calcium, and sodium showed quadratic associations with AKI risk. Bivariate meta-regression identified interactions between key predictors, highlighting pathways that jointly modulate AKI risk. Conclusion: This cross-system meta-analysis synthesizes machine learning-derived evidence into clinically interpretable knowledge, revealing how specific biomarker ranges and interactions modulate AKI risk. By moving beyond surface-level associations to quantitative, generalizable physiologic thresholds, these findings provide actionable insights to enhance risk stratification and personalized prevention in hospital care.

Nutritional status and immune function have a significant impact on the prognosis of patients undergoing maintenance hemodialysis (MHD). Previous studies have shown that the Geriatric Nutritional Risk Index (GNRI) and the Prognostic Nutritional Index (PNI) at the initiation of dialysis can be used to assess the prognosis of MHD. However, as the physical status of patients are usually unstable in the early stage of dialysis, we hypothesized that the nutritional status and immune function after a certain period of stable dialysis might be more closely related to the prognosis. This study conducted a retrospective analysis of patients who started MHD between January 1, 2019 and December 31, 2021. A total of 200 patients were included, with 66 patients succumbing during follow-up. Both initial PNI and initial GNRI exhibited a negative correlation with all-cause mortality (p=0.019 and p=0.046, respectively). After three months of MHD, both PNI and GNRI increased in most patients; however, only the PNI measured after three months was significantly associated with prognosis and higher PNI was associated with a better prognosis (p<0.001). Multivariate Cox regression analyses indicated that only PNI after three months of MHD was linked to prognosis (p=0.004). Kaplan-Meier curves demonstrated patients experiencing a decrease in PNI following three months of MHD had poorer prognoses compared to those whose PNI increased (p=0.004). Furthermore, the predictive value of PNI after three months of MHD was evident in both younger (<60 years old; p=0.024) and older (>60 years old; p=0.022) patient groups. Both the PNI and GNRI showed a downward trend before death, but only PNI had a significant decline (p=0.03, compared with PNI after three months of MHD). In conclusion, for patients undergoing MHD, the correlation between PNI and prognosis is closer than that of GNRI, and the PNI after three months of MHD is a statistically significant but moderate predictor of long-term outcomes.

Abstract Objective: To synthesize the available evidence on the association between SARS-CoV-2-related microvascular thrombosis and acute kidney injury (AKI), with emphasis on renal outcomes, mortality, and renal replacement therapy requirements. Methods: This systematic review followed the PRISMA 2020 statement and was prospectively registered in PROSPERO (CRD420251132701). PubMed/MEDLINE, Scopus, and Embase were searched for systematic reviews, including meta-analyses, and umbrella reviews investigating the association between SARS-CoV-2-related microvascular thrombosis and acute kidney injury. Two reviewers independently performed study selection, data extraction, and methodological quality assessment using AMSTAR-2 and ROBIS. Evidence was synthesized through a structured narrative synthesis supported by quantitative data extracted from the included reviews. Results: Six evidence syntheses evaluating kidney involvement, thrombotic events, and microvascular mechanisms in COVID-19 were included. AKI incidence was 9.2% (95%CI 4.6-13.9) among hospitalized patients and 32.6% (95%CI 8.5-56.6) among critically ill patients. In children with multisystem inflammatory syndrome associated with SARS-CoV-2, AKI incidence was 20% (95%CI 14-28). Microvascular or thrombotic events were associated with adverse renal outcomes (OR 2.14; 95%CI 1.32-3.48). AKI was associated with increased mortality (OR 4.68; 95%CI 1.06-20.70) and greater likelihood of renal replacement therapy requirement (OR 2.87; 95%CI 1.45-5.68). The certainty of evidence ranged from moderate to high for the principal outcomes. Conclusion: Current evidence supports an important association between microvascular thrombotic injury and COVID-19-associated AKI. These findings reinforce the relevance of endothelial dysfunction and thromboinflammatory pathways in kidney involvement during COVID-19 and highlight the need for early renal monitoring, risk stratification, and kidney-protective strategies in high-risk patients. Keywords: COVID-19; Acute Kidney Injury; Microvascular Thrombosis; SARS-CoV-2; Renal Replacement Therapy; Systematic Review

Background: Uremic pruritus affects up to 90% of individuals and substantially impairs quality of life, in the group of patients undergoing chronic dialysis. Despite multiple therapeutic options, an optimal and well tolerated treatment remains elusive. Ketotifen, a mast cell stabilizer with antihistaminic properties prevent itch by inhibition of mast cell derived tryptase, which modulates protease-activated receptor-2 (PAR-2) in the cowhage itch pathway. Materials and Methods: In this prospective observational study, 230 chronic dialysis patients were screened, of whom 48 (20.9%) had clinically significant pruritus identified using a structured questionnaire. Twenty-four patients with moderate-to-severe symptoms who were prescribed ketotifen as part of routine clinical care consented to prospective follow-up. Ketotifen was initiated at 1 mg twice daily, with dose escalation to 2 mg twice daily in patients with persistent symptoms according to routine clinical practice. Pruritus severity was assessed using visual (VAS), verbal (VRS), and numerical (NRS) rating scales before and after treatment. Results: After two weeks of initial 1mg therapy, 19 showed significant clinical improvement. Mean scores reduced 77.5 [-&gt;] 27.1 (VAS), 87.5 [-&gt;] 20.8 (VRS), and 74.2 [-&gt;] 25 (NRS) (around 65% reduction with p < 0.001 across all scales). Clinical relief was achieved in 83.3% overall and mild tolerable drowsiness occurred only at the 2mg dose. Conclusion: Ketotifen is a safe, effective and well tolerated option for moderate to severe uremic pruritus in dialysis patients. Larger multicenter studies are warranted to confirm efficacy and optimize dosing.

Background: Psychological distress is common in chronic kidney disease (CKD) and is associated with reduced quality of life, treatment non-adherence, and worse clinical outcomes. Distress in CKD is also linked to difficulties adjusting to the demands of illness management. Despite this, psychological support remains inconsistently integrated within kidney care pathways, and existing interventions often lack clear theoretical specification and explicit targeting of mechanisms underpinning adjustment to CKD. Objectives: To describe the systematic development of iADJUST, a theory-informed patient co-designed digital psychological intervention targeting key cognitive and behavioural mechanisms involved in adjustment to CKD. Methods: Intervention development was guided by the Medical Research Council framework for complex interventions. A structured, iterative process integrated empirical evidence, psychological theory, and patient and public involvement and engagement. The Common-Sense Model of Self-Regulation and cognitive behavioural theories informed the identification of modifiable maintaining mechanisms associated with adjustment to CKD. Intervention components were mapped onto these mechanisms and refined through co-design with people living with CKD. Results: iADJUST is a six-session self-guided digital psychological intervention delivered over 12 weeks and supplemented by therapist contact. The intervention targets illness-related uncertainty, fatigue-related activity dysregulation, catastrophic what-if thinking, self-critical evaluation, and behavioural withdrawal. It integrates psychoeducation, cognitive and behavioural strategies, maintenance planning, and elements from acceptance and commitment therapy and compassion-focused approaches. Content is delivered through video, audio, and guided tasks and activities. Conclusion: iADJUST provides a theory-informed, evidence-based psychological intervention for CKD explicitly mapping intervention components to maintaining cognitive and behavioural mechanisms implicated in adjustment. Feasibility evaluation is underway.

Background: Early renal function decline is often accompanied by bothersome urological symptoms, yet effective early-stage nutritional interventions remain limited. L-Ergothioneine (EGT), a diet-derived antioxidant concentrated in renal tissue via the OCTN1 transporter, has shown renoprotective potential preclinically, but human interventional data are sparse. Methods: In this single-center, open-label, self-controlled trial, 31 adults (aged 45-70 years) with early renal function decline and persistent urological symptoms ([&ge;]3 months) received oral EGT (120 mg/day) for 90 days; 27 completed the study. Participants served as their own controls. The primary outcome was the within-subject change in eGFR (CKD-EPI 2021 creatinine); secondary outcomes included cystatin C-based eGFR, serum creatinine, UACR, a 10-item voiding diary, and a low-back-pain visual analogue scale (VAS). Within-subject changes were assessed by paired t-test or Wilcoxon signed-rank test. Results: Creatinine-based eGFR increased from 86.04 {+/-} 17.89 to 93.25 {+/-} 19.00 mL/min/1.73 m2 (+8.4%; p = 0.0016) and serum creatinine fell by 7.0% (p = 0.015). However, cystatin C-based eGFR and serum cystatin C were unchanged (p = 0.31 and p = 0.99), so the filtration signal was not corroborated by an independent, muscle-mass-independent marker. UACR showed a non-significant downward trend. Patient-reported outcomes improved most robustly: the total voiding diary score decreased by 57.2% (p < 0.0001) and low-back-pain VAS by 67.2% (p = 0.0002), with significant relief of urgency, frequency, and voiding difficulty. No product-related adverse events occurred. Conclusions: In this uncontrolled study, 90-day EGT supplementation was associated with marked improvement in urological symptoms and in creatinine-based eGFR, although the latter was not confirmed by cystatin C. These changes cannot be attributed to EGT alone and may substantially reflect placebo and natural-history effects. The findings are hypothesis-generating and warrant confirmation in a randomized, placebo-controlled trial using validated symptom instruments. Trial Registration: ChiCTR2500108897; Prospectively registered on 2025-09-08.

Introduction: Autosomal-dominant tubulointerstitial kidney disease (ADTKD) is characterized by chronic kidney disease (CKD) with an average age of end-stage renal disease (ESRD) of approximately 45 years, bland urinary sediment, the absence of proteinuria and autosomal dominant inheritance. While several causative genes have been found, there remain families in whom no molecular diagnosis has been identified (ADTKD-NMD). Methods: We identified BICC1 truncating variants in several families with ADTKD-NMD in the Wake Forest Rare Inherited Kidney Disease Registry and then screened families in our database and other referred families for BICC1 truncating variants. We performed segregation analysis and characterized affected individuals for clinical and histopathologic phenotypes. We analyzed oligomer formation of BICC1 mutants with wild-type BICC1-, ANKS3- and ANKS6 proteins through co-immunoprecipitation and Western blotting, and we tested for posttranscriptional regulation of the BICC1 target mRNA, Dand5, in a Luciferase reporter assay. Results: We found 6 heterozygous truncating mutations in BICC1 segregating with the ADTKD phenotype in 8 independent pedigrees worldwide. Affected individuals developed kidney failure in the 6th to 7th decade of life that was characterized pathologically by tubular atrophy and interstitial fibrosis. The truncated gene products localized to cytoplasmic bodies and demonstrated various degrees of self-association or binding to the known interaction partners, ANKS3 and ANKS6. While the wild-type BICC1 gene product acts as a posttranscriptional repressor of target mRNAs, all truncation variants exhibited increased expression of substrate mRNA. Conclusions: Truncating variants in BICC1 are a novel cause of ADTKD, segregating with the disease phenotype and upregulating BICC1 target gene expression through a dominant-negative- or a gain-of-function mode of action.

Introduction The hemoglobin, albumin, lymphocytes and platelets (HALP) score, a novel nutritional and inflammatory biomarker, has been used in various chronic disease studies. However, the relationship between the HALP score and chronic kidney disease (CKD) remains poorly elucidated. This study aimed to explore the possible association between the HALP score and CKD. Methods Our analysis encompassed 25,160 adult participants drawn from NHANES cycles spanning 2009 through 2018. Weighted multivariable logistic regression and generalized additive models (GAMs) were employed to evaluate the independent associations between the HALP score and CKD, albuminuria, and low-estimated glomerular filtration rate (eGFR). Threshold effects were examined using two-piecewise linear regression. Subgroup and sensitivity analyses were performed to assess robustness. Receiver operating characteristic (ROC) curve analyses were applied to compare the discriminative capacity of the HALP score with the prognostic nutritional index (PNI), systemic immune-inflammation index (SII), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR). The clinical findings were further validated in a 5/6 nephrectomy rat model. Results After adjustment for multiple confounders, higher HALP scores were inversely associated with the risk of CKD (OR = 0.97, 95% CI: 0.94-0.99) and albuminuria (OR = 0.97, 95% CI: 0.93-0.99). However, after full adjustment for demographic characteristics, physical examination indices and laboratory parameters (Model 3), the correlation between the HALP score and low-eGFR was no longer statistically significant. Non-linear analyses revealed a threshold effect, with CKD risk declining as the HALP score increased up to an inflection point of 52.43 (OR = 0.97, 95% CI: 0.95-0.99), beyond which no further protective effect was observed. A similar threshold effect was identified for albuminuria. Subgroup and interaction analyses indicated no meaningful effect modification by age, sex, BMI, hypertension, or diabetes. Sensitivity analyses confirmed the robustness of the results. ROC analysis demonstrated that the HALP score showed superior discriminative ability for CKD and albuminuria compared with PNI, SII, LMR, and PLR. In the animal experiment, CKD model rats exhibited significantly lower HALP scores than controls. Inverse correlations were observed between the HALP score and serum creatinine (Scr), blood urea nitrogen (BUN), and urinary albumin-to-creatinine ratio (UACR), with UACR showing the strongest correlation, which was consistent with the clinical findings. Conclusion Lower HALP scores are independently associated with increased prevalence of CKD and albuminuria. As an affordable and readily measurable biomarker, the HALP score may facilitate CKD risk assessment.

Introduction: Mitochondrial DNA (mtDNA) is not routinely analyzed in inherited kidney disease. We evaluated mtDNA variation in families who remained genetically unresolved despite extensive testing. Methods: We reviewed pedigrees from the Wake Forest-Charles University Rare Inherited Kidney Disease Registry to identify genetically unresolved families with suspected maternal inheritance, performed mtDNA genotyping, clinically characterized variant carriers, and functionally evaluated disease-associated mitochondrial variants. Results: Among 33 families with evidence of maternal inheritance, 18 (55%) carried one of seven disease-associated mtDNA variant types, including homoplasmic recurrent single-nucleotide insertions in the second light-strand promoter (LSP2; 9 families), novel MT-TW and MT-TL2 variants (2 and 1 families, respectively), and previously reported MT-TF and heteroplasmic MT-ND5 variant (5 and 1 families, respectively). In 16 families, variants occurred on distinct haplotypes, consistent with independent mutational events and rapid enrichment to homoplasmy across generations. Maternal transmission was strongly supported, with below-normal kidney function observed in 54/60 (90%) offspring of affected mothers versus 1/17 (6%) offspring of affected fathers (p = 1.23 x 10e-11). Pathogenicity was further supported by predicted deleterious structural effects and functional evidence of impaired mitochondrial transcription and translation, respiratory chain deficiency, and CoQ10 depletion. Affected individuals predominantly presented with chronic tubulointerstitial kidney disease, occasionally accompanied by gout and only sporadically with extrarenal manifestations. The rate of kidney disease progression appeared to vary both between and within families. Overall, 109/119 genetically affected individuals or obligate at-risk carriers were clinically affected; most unaffected carriers were younger than 45 years of age. Clinical status was unavailable for an additional 66 obligate at-risk carriers. Conclusions: These findings establish the physiological relevance of the LSP2 promoter, support routine assessment of the mitochondrial genome in inherited kidney disease, and highlight mtDNA variants as an important cause of familial and sporadic tubulointerstitial kidney disease of previously unexplained etiology.

Introduction: Depression is common among people receiving haemodialysis and is associated with adverse outcomes, but the biological pathways underlying this relationship remain uncertain. We examined associations between depressive symptoms, mortality, immune-metabolic markers and stress-related transcriptional profiles, including potential sex differences in routine biomarkers. Methods: We studied 297 adults receiving maintenance haemodialysis across North and East London and Essex. Moderate/severe depressive symptoms were defined as a 17-item Hamilton Depression Rating Scale score >18. Cox regression examined all-cause mortality from enrolment until death or administrative censoring on 24 March 2026. Linear regression assessed associations between depressive-symptom severity and routinely measured immune-metabolic markers, overall and by sex. In a laboratory subset, inflammatory proteins and transcriptional profiles were examined overall only. Results: Moderate/severe depressive symptoms were associated with higher mortality in the adjusted model, although the association was attenuated after full adjustment (HR= 1.49; 95% CI 1.00-2.23; p=0.055). Higher white-cell count was associated with greater depressive-symptom severity before, but not after, adjustment for body mass index. Diastolic blood pressure was the only routine marker showing evidence that its association with depressive symptoms differed by sex (interaction p=0.022). Exploratory analyses did not provide convincing evidence that the measured biomarkers accounted for the depression-mortality association. In the laboratory subset, no inflammatory protein or transcriptional measure was significantly associated with depressive symptoms in fully adjusted analyses. Conclusion: Depression may identify a clinically relevant risk state among people receiving haemodialysis. The exploratory biological findings require validation in larger, prospectively sampled cohorts.

Background: Fibrosis, characterised by excessive accumulation of collagen type I (COL1), is a common feature of chronic diseases, including liver diseases (LDs), chronic kidney disease (CKD) and heart failure (HF). COL1 degradation products can be detected in urine by proteomics/ peptidomics analyses and may serve as non-invasive biomarkers of fibrosis. We aimed to identify a common molecular signature of fibrosis across these diseases that may ultimately guide interventions to slow disease progression and prevent organ damage. Methods: Using capillary electrophoresis coupled to mass spectrometry (CE-MS), naturally occurring COL1 degradation products (peptides) in the urine of patients with fibrotic disease, LDs (n=127), CKD (n=263) or HF (n=187), were investigated and compared with the same number of matched controls. Disease-associated COL1 peptides were identified separately for each condition, and peptides showing consistent associations across the three diseases were selected to define a common fibrosis signature. A support vector machine model based on the selected peptides was developed and validated in independent cohorts of patients with LDs (n=110), CKD (n=93), HF (n=32) and controls (n=643). Results: We identified a common fibrotic signature consisting of 50 COL1 degradation products, mainly downregulated in fibrosis. A model based on these peptides achieved a strong performance, with an area under the receiver operating characteristic curve (AUC) of 0.935 (95% confidence interval (CI) 0.917-0.953, p<0.0001) in an external validation cohort comprising pooled disease groups (LDs, CKD, and HF) and controls. Performance was maintained in LDs, CKD and HF, with AUCs of 0.917 (95% CI 0.890-0.944, p<0.0001), 0.951 (95% CI 0.931-0.971, p<0.0001) and 0.950 (95% CI 0.903-0.997, p<0.0001), respectively. The model scores were significantly associated with fibrosis stage in LDs (p=0.0097) and with interstitial fibrosis and tubular atrophy in CKD (p=0.045). Conclusion: A model of urinary COL1 peptides captures a shared collagen degradation signature across organs and diseases, enabling the non-invasive assessment of fibrosis irrespective of its origin. As these peptides exclusively reflect collagen degradation, the findings suggest impaired collagen degradation as a driver in fibrosis. Future clinical studies are warranted to evaluate the utility of this model for early fibrosis detection and earlier implementation of anti-fibrotic interventions.