Clinical Outcomes of Rural Patients with Diabetes Treated by ECHO-Trained Providers Versus an Academic Medical Center.

BACKGROUND: Despite clinical practice guidelines prioritizing cardiorenal risk reduction, national trends in diabetes outcomes, particularly in rural communities, do not mirror the benefits seen in clinical trials with emerging therapeutics and technologies. OBJECTIVE: Project ECHO supports implementation of guidelines in under-resourced areas through virtual communities of practice, sharing of best practices, and case-based learning. We hypothesized that diabetes outcomes of patients treated by ECHO-trained primary care providers (PCPs) would be similar to those of patients treated by specialists at an academic medical center. DESIGN: Specialists from the University of New Mexico (UNM) launched a weekly diabetes ECHO program to mentor dyads consisting of a PCP and community health worker at ten rural clinics. PARTICIPANTS: We compared cardiorenal risk factor changes in patients with diabetes treated by ECHO-trained dyads to patients treated by specialists at the UNM Diabetes Comprehensive Care Center (DCCC). Eligible participants included adults with type 1 diabetes, type 2 diabetes on insulin, or diabetes of either type with A1c > 9%. MAIN MEASURES: The primary outcome was change from baseline in A1c in the ECHO and DCCC cohorts. Secondary outcomes included changes in body mass index (BMI), blood pressure, cholesterol, and urine albumin to creatinine ratio (UACR). KEY RESULTS: Compared to the DCCC cohort (n = 151), patients in the ECHO cohort (n = 856) experienced greater A1c reduction (-1.2% vs -0.6%; p = 0.02 for difference in difference). BMI decreased in the Endo ECHO cohort and increased in the DCCC cohort (-0.2 vs. +1.3 kg/m2; p = 0.003 for difference in difference). Diastolic blood pressure declined in the Endo ECHO cohort only. Improvements of similar magnitude were observed in low-density lipoprotein cholesterol in both groups. UACR remained stable in both groups. CONCLUSIONS: ECHO may be a suitable intervention for improving diabetes outcomes in rural, under-resourced communities with limited access to a specialist.

Do pre-transplant cultural factors predict health-related quality of life after kidney transplantation?

BACKGROUND: Post-transplant health-related quality of life (HRQOL) is associated with health outcomes for kidney transplant (KT) recipients. However, pretransplant predictors of improvements in post-transplant HRQOL remain incompletely understood. Namely, important pretransplant cultural factors, such as experience of discrimination, perceived racism in healthcare, or mistrust of the healthcare system, have not been examined as potential HRQOL predictors. Also, few have examined predictors of decline in HRQOL post-transplant. METHODS: Using data from a prospective cohort study, we examined HRQOL change pre- to post-transplant, and novel cultural predictors of the change. We measured physical, mental, and kidney-specific HRQOL as outcomes, and used cultural factors as predictors, controlling for demographic, clinical, psychosocial, and transplant knowledge covariates. RESULTS: Among 166 KT recipients (57% male; mean age 50.6 years; 61.4% > high school graduates; 80% non-Hispanic White), we found mental and physical, but not kidney-specific, HRQOL significantly improved post-transplant. No culturally related factors outside of medical mistrust significantly predicted change in any HRQOL outcome. Instead, demographic, knowledge, and clinical factors significantly predicted decline in each HRQOL domain: physical HRQOL-older age, more post-KT complications, higher pre-KT physical HRQOL; mental HRQOL-having less information pre-KT, greater pre-KT mental HRQOL; and, kidney-specific HRQOL-poorer kidney functioning post-KT, lower expectations for physical condition to improve, and higher pre-KT kidney-specific HRQOL. CONCLUSIONS: Instead of cultural factors, predictors of HRQOL decline included demographic, knowledge, and clinical factors. These findings are useful for identifying patient groups that may be at greater risk of poorer post-transplant outcomes, in order to target individualized support to patients.

Predicting Kidney Transplant Evaluation Non-attendance.

Non-attendance to kidney transplant evaluation (KTE) appointments is a barrier to optimal care for those with kidney failure. We examined the medical and socio-cultural factors that predict KTE non-attendance to identify opportunities for integrated medical teams to intervene. Patients scheduled for KTE between May, 2015 and June, 2018 completed an interview before their initial KTE appointment. The interview assessed various social determinants of health, including demographic (e.g., income), medical (e.g. co-morbidities), transplant knowledge, cultural (e.g., medical mistrust), and psychosocial (e.g., social support) factors. We used multiple logistic regression analysis to determine the strongest predictor of KTE non-attendance. Our sample (N = 1119) was 37% female, 76% non-Hispanic White, median age 59.4 years (IQR 49.2-67.5). Of note, 142 (13%) never attended an initial KTE clinic appointment. Being on dialysis predicted higher odds of KTE non-attendance (OR 1.76; p = .02; 64% of KTE attendees on dialysis vs. 77% of non-attendees on dialysis). Transplant and nephrology teams should consider working collaboratively with dialysis units to better coordinate care, (e.g., resources to attend appointment or outreach to emphasize the importance of transplant) adjusting the KTE referral and evaluation process to address access issues (e.g., using tele-health) and encouraging partnership with clinical psychologists to promote quality of life for those on dialysis.

Managing the symptom burden associated with maintenance dialysis: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.

Individuals with kidney failure undergoing maintenance dialysis frequently report a high symptom burden that can interfere with functioning and diminish life satisfaction. Until recently, the focus of nephrology care for dialysis patients has been related primarily to numerical targets for laboratory measures, and outcomes such as cardiovascular disease and mortality. Routine symptom assessment is not universal or standardized in dialysis care. Even when symptoms are identified, treatment options are limited and are initiated infrequently, in part because of a paucity of evidence in the dialysis population and the complexities of medication interactions in kidney failure. In May of 2022, Kidney Disease: Improving Global Outcomes (KDIGO) held a Controversies Conference-Symptom-Based Complications in Dialysis-to identify the optimal means for diagnosing and managing symptom-based complications in patients undergoing maintenance dialysis. Participants included patients, physicians, behavioral therapists, nurses, pharmacists, and clinical researchers. They outlined foundational principles and consensus points related to identifying and addressing symptoms experienced by patients undergoing dialysis and described gaps in the knowledge base and priorities for research. Healthcare delivery and education systems have a responsibility to provide individualized symptom assessment and management. Nephrology teams should take the lead in symptom management, although this does not necessarily mean taking ownership of all aspects of care. Even when options for clinical response are limited, clinicians should focus on acknowledging, prioritizing, and managing symptoms that are most important to individual patients. A recognized factor in the initiation and implementation of improvements in symptom assessment and management is that they will be based on locally existing needs and resources.

Ultraprocessed Foods and Kidney Disease Progression, Mortality, and Cardiovascular Disease Risk in the CRIC Study.

RATIONALE & OBJECTIVE: Ultraprocessed foods are widely consumed in the United States and are associated with cardiovascular disease (CVD), mortality, and kidney function decline in the general population. We investigated associations between ultraprocessed food intake and chronic kidney disease (CKD) progression, all-cause mortality, and incident CVD in adults with chronic kidney disease (CKD). STUDY DESIGN: Prospective cohort study. SETTING & PARTICIPANTS: Chronic Renal Insufficiency Cohort Study participants who completed baseline dietary questionnaires. EXPOSURE: Ultraprocessed food intake (in servings per day) classified according to the NOVA system. OUTCOMES: CKD progression (≥50% decrease in estimated glomerular filtration rate [eGFR] or initiation of kidney replacement therapy), all-cause mortality, and incident CVD (myocardial infarction, congestive heart failure, or stroke). ANALYTICAL APPROACH: Cox proportional hazards models adjusted for demographic, lifestyle, and health covariates. RESULTS: There were 1,047 CKD progression events observed during a median follow-up of 7 years. Greater ultraprocessed food intake was associated with higher risk of CKD progression (tertile 3 vs tertile 1, HR, 1.22; 95% CI, 1.04-1.42; P=0.01 for trend). The association differed by baseline kidney function, such that greater intake was associated with higher risk among people with CKD stages 1/2 (eGFR≥60mL/min/1.73m2; tertile 3 vs tertile 1, HR, 2.61; 95% CI, 1.32-5.18) but not stages 3a-5 (eGFR<60mL/min/1.73m2; P=0.003 for interaction). There were 1,104 deaths observed during a median follow-up of 14 years. Greater ultraprocessed food intake was associated with higher risk of mortality (tertile 3 vs tertile 1, HR, 1.21; 95% CI, 1.04-1.40; P=0.004 for trend). LIMITATIONS: Self-reported diet. CONCLUSIONS: Greater ultraprocessed food intake may be associated with CKD progression in earlier stages of CKD and is associated with higher risk of all-cause mortality in adults with CKD. PLAIN LANGUAGE SUMMARY: Ultraprocessed foods are industrial formulations produced using ingredients and processes that are not commonly used in culinary preparations and contain few, if any, intact unprocessed foods. Ultraprocessed foods are widely consumed in the United States, and high intakes of such foods have been linked to cardiovascular disease, kidney disease, and mortality in the general population. In this study, we found that greater intake of ultraprocessed foods was associated with higher risk of kidney disease progression and mortality in adults with chronic kidney disease. Our findings suggest that patients with kidney disease may benefit from greater consumption of fresh, whole, and homemade or hand-prepared foods and fewer highly processed foods.

Interventions for fatigue in people with kidney failure requiring dialysis.

BACKGROUND: Fatigue is a common and debilitating symptom in people receiving dialysis that is associated with an increased risk of death, cardiovascular disease and depression. Fatigue can also impair quality of life (QoL) and the ability to participate in daily activities. Fatigue has been established by patients, caregivers and health professionals as a core outcome for haemodialysis (HD). OBJECTIVES: We aimed to evaluate the effects of pharmacological and non-pharmacological interventions on fatigue in people with kidney failure receiving dialysis, including HD and peritoneal dialysis (PD), including any setting and frequency of the dialysis treatment. SEARCH METHODS: We searched the Cochrane Kidney and Transplant Register of Studies up to 18 October 2022 through contact with the Information Specialist using search terms relevant to this review. Studies in the Register are identified through searches of CENTRAL, MEDLINE, and EMBASE, conference proceedings, the International Clinical Trials Registry Platform (ICTRP) Search Portal and ClinicalTrials.gov. SELECTION CRITERIA: Studies evaluating pharmacological and non-pharmacological interventions affecting levels of fatigue or fatigue-related outcomes in people receiving dialysis were included. Studies were eligible if fatigue or fatigue-related outcomes were reported as a primary or secondary outcome. Any mode, frequency, prescription, and duration of therapy were considered. DATA COLLECTION AND ANALYSIS: Three authors independently extracted data and assessed the risk of bias. Treatment estimates were summarised using random effects meta-analysis and expressed as a risk ratio (RR) or mean difference (MD), with a corresponding 95% confidence interval (CI) or standardised MD (SMD) if different scales were used. Confidence in the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. MAIN RESULTS: Ninety-four studies involving 8191 randomised participants were eligible. Pharmacological and non-pharmacological interventions were compared either to placebo or control, or to another pharmacological or non-pharmacological intervention. In the majority of domains, risks of bias in the included studies were unclear or high. In low certainty evidence, when compared to control, exercise may improve fatigue (4 studies, 217 participants (Iowa Fatigue Scale, Modified Fatigue Impact Scale, Piper Fatigue Scale (PFS), or Haemodialysis-Related Fatigue scale score): SMD -1.18, 95% CI -2.04 to -0.31; I2 = 87%) in HD. In low certainty evidence, when compared to placebo or standard care, aromatherapy may improve fatigue (7 studies, 542 participants (Fatigue Severity Scale (FSS), Rhoten Fatigue Scale (RFS), PFS or Brief Fatigue Inventory score): SMD -1.23, 95% CI -1.96 to -0.50; I2 = 93%) in HD. In low certainty evidence, when compared to no intervention, massage may improve fatigue (7 studies, 657 participants (FSS, RFS, PFS or Visual Analogue Scale (VAS) score): SMD -1.06, 95% CI -1.47, -0.65; I2 = 81%) and increase energy (2 studies, 152 participants (VAS score): MD 4.87, 95% CI 1.69 to 8.06, I2 = 59%) in HD. In low certainty evidence, when compared to placebo or control, acupressure may reduce fatigue (6 studies, 459 participants (PFS score, revised PFS, or Fatigue Index): SMD -0.64, 95% CI -1.03 to -0.25; I2 = 75%) in HD. A wide range of heterogenous interventions and fatigue-related outcomes were reported for exercise, aromatherapy, massage and acupressure, preventing our capability to pool and analyse the data. Due to the paucity of studies, the effects of pharmacological and other non-pharmacological interventions on fatigue or fatigue-related outcomes, including non-physiological neutral amino acid, relaxation with or without music therapy, meditation, exercise with nandrolone, nutritional supplementation, cognitive-behavioural therapy, ESAs, frequent HD sections, home blood pressure monitoring, blood flow rate reduction, serotonin reuptake inhibitor, beta-blockers, anabolic steroids, glucose-enriched dialysate, or light therapy, were very uncertain. The effects of pharmacological and non-pharmacological treatments on death, cardiovascular diseases, vascular access, QoL, depression, anxiety, hypertension or diabetes were sparse. No studies assessed tiredness, exhaustion or asthenia. Adverse events were rarely and inconsistently reported. AUTHORS' CONCLUSIONS: Exercise, aromatherapy, massage and acupressure may improve fatigue compared to placebo, standard care or no intervention. Pharmacological and other non-pharmacological interventions had uncertain effects on fatigue or fatigue-related outcomes in people receiving dialysis. Future adequately powered, high-quality studies are likely to change the estimated effects of interventions for fatigue and fatigue-related outcomes in people receiving dialysis.

Implementing Advance Care Planning for dialysis patients: HIGHway project.

BACKGROUND: Patients undergoing hemodialysis have a high mortality rate and yet underutilize palliative care and hospice resources. The Shared Decision Making-Renal Supportive Care (SDM-RSC) intervention focused on goals of care conversations between patients and family members with the nephrologist and social worker. The intervention targeted deficiencies in communication, estimating prognosis, and transition planning for seriously ill dialysis patients. The intervention showed capacity to increase substantially completion of advance care directives. The HIGHway Project, adapted from the previous SDM-RSC, scale up training social workers or nurses in dialysis center in advance care planning (ACP), and then support them for a subsequent 9-month action period, to engage in ACP conversations with patients at their dialysis center regarding their preferences for end-of-life care. METHODS: We will train between 50-60 dialysis teams, led by social workers or nurses, to engage in ACP conversations with patients at their dialysis center regarding their preferences for end-of-life care. This implementation project uses the Knowledge to Action (KTA) Framework within the Consolidated Framework for Implementation Research (CFIR) to increase adoption and sustainability in the participating dialysis centers. This includes a curriculum about how to hold ACP conversation and coaching with monthly teleconferences through case discussion and mentoring. An application software will guide on the process and provide resources for holding ACP conversations. Our project will focus on implementation outcomes. Success will be determined by adoption and effective use of the ACP approach. Patient and provider outcomes will be measured by the number of ACP conversations held and documented; the quality and fidelity of ACP conversations to the HIGHway process as taught during education sessions; impact on knowledge and skills; content, relevance, and significance of ACP intervention for patients, and Supportive Kidney Care (SKC) App usage. Currently HIGHway is in the recruitment stage. DISCUSSION: Effective changes to advance care planning processes in dialysis centers can lead to institutional policy and protocol changes, providing a model for patients receiving dialysis treatment in the US. The result will be a widespread improvement in advance care planning, thereby remedying one of the current barriers to patient-centered, goal-concordant care for dialysis patients. TRIAL REGISTRATION: The George Washington University Protocol Record NCR213481, Honoring Individual Goals and Hopes: Implementing Advance Care Planning for Persons with Kidney Disease on Dialysis, is registered in ClinicalTrials.gov Identifier: NCT05324878 on April 11th, 2022.

High performance implementation of the hierarchical likelihood for generalized linear mixed models: an application to estimate the potassium reference range in massive electronic health records datasets.

BACKGROUND: Converting electronic health record (EHR) entries to useful clinical inferences requires one to address the poor scalability of existing implementations of Generalized Linear Mixed Models (GLMM) for repeated measures. The major computational bottleneck concerns the numerical evaluation of multivariable integrals, which even for the simplest EHR analyses may involve millions of dimensions (one for each patient). The hierarchical likelihood (h-lik) approach to GLMMs is a methodologically rigorous framework for the estimation of GLMMs that is based on the Laplace Approximation (LA), which replaces integration with numerical optimization, and thus scales very well with dimensionality. METHODS: We present a high-performance, direct implementation of the h-lik for GLMMs in the R package TMB. Using this approach, we examined the relation of repeated serum potassium measurements and survival in the Cerner Real World Data (CRWD) EHR database. Analyzing this data requires the evaluation of an integral in over 3 million dimensions, putting this problem beyond the reach of conventional approaches. We also assessed the scalability and accuracy of LA in smaller samples of 1 and 10% size of the full dataset that were analyzed via the a) original, interconnected Generalized Linear Models (iGLM), approach to h-lik, b) Adaptive Gaussian Hermite (AGH) and c) the gold standard for multivariate integration Markov Chain Monte Carlo (MCMC). RESULTS: Random effects estimates generated by the LA were within 10% of the values obtained by the iGLMs, AGH and MCMC techniques. The H-lik approach was 4-30 times faster than AGH and nearly 800 times faster than MCMC. The major clinical inferences in this problem are the establishment of the non-linear relationship between the potassium level and the risk of mortality, as well as estimates of the individual and health care facility sources of variations for mortality risk in CRWD. CONCLUSIONS: We found that the direct implementation of the h-lik offers a computationally efficient, numerically accurate approach for the analysis of extremely large, real world repeated measures data via the h-lik approach to GLMMs. The clinical inference from our analysis may guide choices of treatment thresholds for treating potassium disorders in the clinic.

Blood pressure and volume management in dialysis: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.

Blood pressure (BP) and volume control are critical components of dialysis care and have substantial impacts on patient symptoms, quality of life, and cardiovascular complications. Yet, developing consensus best practices for BP and volume control have been challenging, given the absence of objective measures of extracellular volume status and the lack of high-quality evidence for many therapeutic interventions. In February of 2019, Kidney Disease: Improving Global Outcomes (KDIGO) held a Controversies Conference titled Blood Pressure and Volume Management in Dialysis to assess the current state of knowledge related to BP and volume management and identify opportunities to improve clinical and patient-reported outcomes among individuals receiving maintenance dialysis. Four major topics were addressed: BP measurement, BP targets, and pharmacologic management of suboptimal BP; dialysis prescriptions as they relate to BP and volume; extracellular volume assessment and management with a focus on technology-based solutions; and volume-related patient symptoms and experiences. The overarching theme resulting from presentations and discussions was that managing BP and volume in dialysis involves weighing multiple clinical factors and risk considerations as well as patient lifestyle and preferences, all within a narrow therapeutic window for avoiding acute or chronic volume-related complications. Striking this challenging balance requires individualizing the dialysis prescription by incorporating comorbid health conditions, treatment hemodynamic patterns, clinical judgment, and patient preferences into decision-making, all within local resource constraints.

Itch and Ache on Dialysis: New Approaches to Manage Uremic Pruritus and Restless Legs.

BACKGROUND: Uremic pruritus (UP) and restless legs syndrome (RLS) are highly prevalent complaints among patients with end-stage renal disease (ESRD) undergoing chronic dialysis. These chronic troublesome symptoms lead to a significant decrease in quality of life (QOL) and increase in mortality rate. Despite their distressing characteristics, these symptoms usually remain under-recognized by healthcare providers. Therefore, careful history intake, and stepwise treatment are essential. Numerous pharmacological and non-pharmacological treatments have been demonstrated to help in controlling these 2 conditions. SUMMARY: In this review, we discuss the latest findings regarding UP and RLS among ESRD patients on maintenance dialysis. We also examine different treatment options in this group of patients. The majority of these patients do not have the opportunity to receive a kidney transplant and need other treatments for these burdensome symptoms in order to improve their QOL and prognosis. Key Messages: UP and RLS are common but underdiagnosed conditions in ESRD patients on maintenance dialysis that are related to a decline in patients' QOL and poor prognosis. The pathophysiology of these conditions remains not well understood. Therefore, controversies still exist on treatment options. Treating these conditions provides an opportunity to improve the health-related QOL and outcomes of dialysis patients.

American Indian chronic Renal insufficiency cohort study (AI-CRIC study).

BACKGROUND: Chronic kidney disease (CKD) is an increasing epidemic globally that is associated with adverse health outcomes including end stage kidney disease (ESKD), cardiovascular disease (CVD), and death. American Indians (AIs) have a higher prevalence of CKD than most other racial/ethnic groups, due in part to a high prevalence of type 2 diabetes. Other genetic and environmental factors not yet identified may also contribute to the disproportionate burden of CKD in AIs. METHOD: We will establish 3 clinical centers to recruit AIs from the Southwest United States (US) to expand the Chronic Renal Insufficiency Cohort (CRIC) study. We will follow the current CRIC protocol for kidney and cardiovascular measures and outcomes, which include ambulatory monitoring of kidney function and the use of mobile health technologies for CVD sub-phenotyping, and compare the outcomes in AIs with those in other racial/ethnic groups in CRIC. DISCUSSION: AI-CRIC will identify the role of various risk factors for rapid loss of kidney function among AIs of the Southwest US. In addition, to better understand the natural history of CKD and CVD in this high-risk population, we will identify unique risk factors for CKD and CVD progression in AIs. We will also compare event rates and risk factors for kidney and cardiovascular events in AIs with the other populations represented in CRIC.

Advance care planning with patients on hemodialysis: an implementation study.

BACKGROUND: Patients with end-stage kidney disease (ESKD) on hemodialysis have limited life expectancy, yet their palliative care needs often go unmet. The aim of this study was to identify barriers and facilitators for implementation of "Shared Decision Making and Renal Supportive Care" (SDM-RSC), an intervention to improve advance care planning (ACP) for patients with ESKD on hemodialysis. METHODS: The Consolidated Framework for Implementation Research (CFIR) was the organizing framework for this study. CFIR is a theory-based implementation framework consisting of five domains (Intervention Characteristics, Inner Setting, Outer Setting, Characteristics of Individuals, and Process), each of which has associated constructs. Potential barriers and facilitators to implementation of the SDM-RSC intervention were identified through observation of study procedures, surveys of social workers nephrologists, study participants, and family members, and assessment of intervention fidelity. RESULTS: Twenty-nine nephrologists and 24 social workers, representing 18 outpatient dialysis units in Massachusetts (n = 10) and New Mexico (n = 8), were trained to conduct SDM-RSC intervention sessions. A total of 102 of 125 patient enrolled in the study received the intervention; 40 had family members present. Potential barriers and facilitators to implementation of the SDM-RSC intervention were identified in each of the five CFIR domains. Barriers included complexity of the intervention; challenges to meeting with patients on non-dialysis days; difficulties scheduling intervention sessions due to nephrologists' and social workers' caseloads; perceived need for local policy change regarding ACP; perceived need for additional ACP training for social workers and nephrologists; and lack of endorsement of the intervention by some staff members. Facilitators included: training for social workers, national dialysis chain leadership engagement and the institution of social worker/nephrologist clinic champions. CONCLUSIONS: ACP for patients on hemodialysis can have a positive impact on end-of-life outcomes for patients and their families but does not take place routinely. The barriers to effective implementation of interventions to improve ACP identified in this study might be addressed by: adapting the intervention for local contexts with input from clinicians, dialysis staff, patients and families; providing nephrologists and social workers additional training prior to delivering the intervention; and developing policy that routinizes ACP for hemodialysis patients. TRIAL REGISTRATION: Clinicaltrials.gov NCT02405312. Registered 04/01/2015.

Patient-Reported Outcome Measures for Fatigue in Patients on Hemodialysis: A Systematic Review.

BACKGROUND: Fatigue is a prevalent and debilitating symptom in patients receiving hemodialysis. We aimed to identify and evaluate the characteristics and psychometric properties of patient-reported outcome measures for fatigue in patients receiving hemodialysis, to inform the selection of a robust and feasible measure for use in randomized trials in hemodialysis. STUDY DESIGN: Systematic review of outcome measures for fatigue. SETTING & POPULATION: Patients receiving hemodialysis. SEARCH STRATEGY & SOURCES: MEDLINE, Embase, PsycINFO, and CINAHL from inception to April 2017 were searched for all studies that reported fatigue in patients receiving hemodialysis. ANALYTICAL APPROACH: With a focus on addressing methods, items (individual questions) from all measures were categorized into content and measurement dimensions of fatigue. We assessed the general characteristics (eg, number of items and cost) and psychometric properties of all measures. RESULTS: From 123 studies, we identified 43 different measures: 24 (55%) were developed specifically for the hemodialysis population (of which 18 were nonvalidated author-developed measures for use in their study only), 17 (40%) for other populations, and 2 (5%) for chronic kidney disease (all stages). The measures assessed 11 content dimensions of fatigue, the 3 most frequent being level of energy (19 [44%]), tiredness (15 [35%]), and life participation (14 [33%]); and 4 measurement dimensions: severity (34 [79%]), frequency (10 [23%]), duration (4 [9%]), and change (1 [2%]). The vitality subscale of the 36-Item Short Form Health Survey (SF-36) was the most frequently used (19 [15%] studies), but has only been tested for reliability in hemodialysis. Of the fatigue-specific measures, the Chalder Fatigue Scale was the only one evaluated in hemodialysis, but the full psychometric robustness remains uncertain. LIMITATIONS: For feasibility, we searched for validation studies in the hemodialysis population using the names of measures identified in the primary search strategy. CONCLUSIONS: A very wide range of measures have been used to assess fatigue in patients receiving hemodialysis, each varying in content and length. Many have limited validation data available in this population. A standardized and psychometrically robust measure that captures dimensions of fatigue that are important to patients is needed to estimate and improve this disabling complication of hemodialysis.

Beta-2 microglobulin clearance in high-flux dialysis and convective dialysis modalities: a meta-analysis of published studies.

Background: Recent meta-analyses suggest that higher removal of beta-2 microglobulin (ß2M) with either high-flux (HFD) dialysis or hemodiafiltration (HDF) may be associated with decreased total and cardiovascular mortality in dialysis patients. However, there are limited data about the performance of high flux dialyzers and/or convective therapies in removing ß2M. Methods: This is a random effects meta-analysis and meta-regression of data extracted from randomized controlled trials and observational studies in hemodialysis, hemofiltration and HDF regarding the efficiency of high flux dialyzers to remove ß2M. Studies were searched using ProQuest in SCOPUS, EMBASE and MEDLINE. Results: We included 69 studies from 1 January 2001 to 12 June 2017 on 1879 patients with 6771 available measurements. Average ß2M clearance was 48.75 mL/min [95% confidence interval (CI) 42.50-55.21] for conventional HF dialysis, and 87.06 mL/min (95% CI 75.08-99.03) for convective therapies (hemofiltration and HDF) with substantial heterogeneity among studies [P (Q) ≤ 0.001]. In multivariable meta-regression analyses, we found significantly higher ß2M clearance for polyarylethersulfone dialyzers when used for HFD and polysulfone membranes in convective therapies. However, the mass of ß2M removed into the dialysate did not depend on membrane material. Adjusted dialysate-side (-22.279, 95% CI -9.8 to -34.757, P < 0.001) ß2M clearances were significantly lower than whole blood clearances, suggesting that adsorption contributes substantially to ß2M removal. Higher Kuf, blood flow and substitution fluid rates but not dialysate flow rates were associated with statistically significant and clinically meaningful elevation in ß2M clearance from the body independent of the dialysis modality. Conclusions: Membrane composition and characteristics, modality (convective versus diffusive), blood flow rates and substitution fluid rates in HDF play a significant role in the efficient removal of ß2M from the body in both diffusive and convective dialysis.

Study protocol: rationale and design of the community-based prospective cohort study of kidney function and diabetes in rural New Mexico, the COMPASS study.

BACKGROUND: Rural areas in the state of New Mexico have been the "ground-zero" for the epidemic of diabetic Chronic Kidney Disease (CKD) in the United States. However, there is limited research about risk factors of diabetic CKD in this area and scarce data regarding the performance of emerging markers of renal filtration and epigenetic biomarkers of renal function and diabetes in this area with its unique ethnic/racial population. We designed the COMPASS study as a community-based program in rural New Mexico aiming to screen for CKD and to discover CKD-related translational biomarkers. METHODS/DESIGN: The study involves a prospective, longitudinal cohort design involving individuals living in rural New Mexico. Participants undergo a screening for kidney disease using markers of abnormal renal filtration (impaired glomerular filtration rate) or damage (albuminuria). Those found to have CKD on the basis of these tests or those at risk for CKD are enrolled in a prospective longitudinal cohort. We measure markers of renal function, insulin resistance and epigenetics (microRNAs) on patients. Individuals are invited to participate in interviews and focus groups in order to characterize their attitudes towards research and barriers or facilitators to participation in future research studies about kidney disease. DISCUSSION: This study will provide important data about the local epidemiology of kidney disease in a high-risk rural setting and the utility of emerging renal filtration markers (Beta 2 Microglobulin and Cystatin C), while generating data and methods for the analyses of microRNA biomarkers. The qualitative research subproject will identify factors associated with increased willingness to participate in future translational research projects. With its geographical focus, this study will address a critical disparity in kidney disease research, while generating novel epigenetic data that are relevant for future studies in the general population.

Renal Replacement Therapy and Incremental Hemodialysis for Veterans with Advanced Chronic Kidney Disease.

Each year approximately 13,000 Veterans transition to maintenance dialysis, mostly in the traditional form of thrice-weekly hemodialysis from the start. Among >6000 dialysis units nationwide, there are currently approximately 70 Veterans Affairs (VA) dialysis centers. Given this number of VA dialysis centers and their limited capacity, only 10% of all incident dialysis Veterans initiate treatment in a VA center. Evidence suggests that, among Veterans, the receipt of care within the VA system is associated with favorable outcomes, potentially because of the enhanced access to healthcare resources. Data from the United States Renal Data System Special Study Center "Transition-of-Care-in-CKD" suggest that Veterans who receive dialysis in a VA unit exhibit greater survival compared with the non-VA centers. Substantial financial expenditures arise from the high volume of outsourced care and higher dialysis reimbursement paid by the VA than by Medicare to outsourced providers. Given the exceedingly high mortality and abrupt decline in residual kidney function (RKF) in the first dialysis year, it is possible that incremental transition to dialysis through an initial twice-weekly hemodialysis regimen might preserve RKF, prolong vascular access longevity, improve patients' quality of life, and be a more patient-centered approach, more consistent with "personalized" dialysis. Broad implementation of incremental dialysis might also result in more Veterans receiving care within a VA dialysis unit. Controlled trials are needed to examine the safety and efficacy of incremental hemodialysis in Veterans and other populations; the administrative and health care as well as provider structure within the VA system would facilitate the performance of such trials.

Tryptophan and Kynurenine Levels and Its Association With Sleep, Nonphysical Fatigue, and Depression in Chronic Hemodialysis Patients.

OBJECTIVE: Sleep and mood disorders are common in hemodialysis (HD) patients and the pathophysiology is still unclear. Tryptophan (TRP) and its metabolites may play a prominent role in neural pathways related to sleep, fatigue, and depression. Here, we sought to compare the levels of TRP and its metabolites between HD patients and healthy subjects and examine their association with sleep, fatigue, and depression in HD patients. The design was cross-sectional analysis. SUBJECTS: Ninety-nine adult patients on stable thrice weekly HD schedule between September 2011 and March 2014 and 10 healthy controls. INTERVENTION: Venous blood samples were drawn in healthy subjects and immediately before dialysis in chronic HD patients. TRP and kynurenine (KYN) metabolites were measured by high-performance liquid chromatography. The Medical Outcomes Study Sleep Scale, the PROMIS Short form Fatigue, and the Patient Health Questionnaire were administered concurrently. MAIN OUTCOME MEASURE: Sleep, fatigue, and depression as assessed by subjective questionnaire. RESULTS: TRP levels were significantly lower (52.4 ± 15.2 vs. 67.9 ± 3.1 µmol/L; P < .0001) and KYN (3.2 ± 1.2 vs. 1.4 ± 0.1 µmol/L; P < .0001) were significantly higher in the 99 HD patients relative to 10 healthy controls. In HD patients, higher KYN levels were correlated with worse depression and fatigue scores (r2 = 0.23 and 0.21; P ≤ .05, respectively). We found no association between TRP and KYN/TRP ratio with sleep disturbances, fatigue, and depression in HD patients. CONCLUSIONS: Our study indicates disturbed TRP metabolism in HD patients, but low TRP levels were not related with sleep disturbances, depression, and fatigue. In contrast, KYN levels, a metabolite of TRP, were much higher in HD patients compared with controls, and higher KYN associated with depression and fatigue. Further studies exploring the biological and functional consequences of increased TRP catabolism in HD patients are warranted.

The effect of frequent hemodialysis on self-reported sleep quality: Frequent Hemodialysis Network Trials.

BACKGROUND: Many patients who receive maintenance hemodialysis experience poor sleep. Uncontrolled studies suggest frequent hemodialysis improves sleep quality, which is a strong motivation for some patients to undertake the treatment. We studied the effects of frequent in-center ('daily') and nocturnal home hemodialysis on self-reported sleep quality in two randomized trials. METHODS: Participants were randomly assigned to frequent (six times per week) or conventional (three times per week) hemodialysis in the Frequent Hemodialysis Network Daily (n = 245) and Nocturnal (n = 87) Trials. We used the Medical Outcomes Study Sleep Problems Index II (SPI II), a validated and reliable instrument in patients with end-stage renal disease, to measure self-reported sleep quality. The SPI II is scored from 0-100, with a higher value indicating poorer quality of sleep. A mean relative decline in SPI II would suggest improved sleep quality. The primary sleep outcome was the change in the SPI II score over 12 months. RESULTS: In the Daily Trial, after adjustment for baseline SPI II, subjects randomized to frequent as compared with conventional in-center hemodialysis experienced a 4.2 [95% confidence interval (CI) 0.4-8.0] point adjusted mean relative decline in SPI II at 4 months and a 2.6 (95% CI -2.3-7.5) point adjusted mean relative decline at 12 months. In the Nocturnal Trial, subjects randomized to frequent nocturnal as compared with conventional home hemodialysis experienced 2.9 (95% CI -3.4-9.3) and 4.5 (95% CI -3.2-12.2) point mean relative declines at Months 4 and 12, respectively. CONCLUSIONS: Although a possible benefit of frequent in-center hemodialysis was observed at 4 months, neither frequent in-center hemodialysis nor home nocturnal hemodialysis demonstrated significant improvements in self-reported sleep quality compared with conventional hemodialysis at 12 months.