Rationale and design of the Nephrotic Syndrome Study Network (NEPTUNE) Match in glomerular diseases: designing the right trial for the right patient, today.

Glomerular diseases are classified using a descriptive taxonomy that is not reflective of the heterogeneous underlying molecular drivers. This limits not only diagnostic and therapeutic patient management, but also impacts clinical trials evaluating targeted interventions. The Nephrotic Syndrome Study Network (NEPTUNE) is poised to address these challenges. The study has enrolled >850 pediatric and adult patients with proteinuric glomerular diseases who have contributed to deep clinical, histologic, genetic, and molecular profiles linked to long-term outcomes. The NEPTUNE Knowledge Network, comprising combined, multiscalar data sets, captures each participant's molecular disease processes at the time of kidney biopsy. In this editorial, we describe the design and implementation of NEPTUNE Match, which bridges a basic science discovery pipeline with targeted clinical trials. Noninvasive biomarkers have been developed for real-time pathway analyses. A Molecular Nephrology Board reviews the pathway maps together with clinical, laboratory, and histopathologic data assembled for each patient to compile a Match report that estimates the fit between the specific molecular disease pathway(s) identified in an individual patient and proposed clinical trials. The NEPTUNE Match report is communicated using established protocols to the patient and the attending nephrologist for use in their selection of available clinical trials. NEPTUNE Match represents the first application of precision medicine in nephrology with the aim of developing targeted therapies and providing the right medication for each patient with primary glomerular disease.

Primary Care Physician and Urologist Perspectives on Optimizing Active Surveillance for Low-Risk Prostate Cancer.

PURPOSE: We conducted a study to understand primary care physician (PCP) and urologist perspectives on determinants of active surveillance care delivery for men with low-risk prostate cancer. METHODS: We conducted in-depth, semistructured, virtual interviews with a purposive sample of 19 PCPs and 15 urologists between June 2020 and March 2021. We used the behavioral theory-informed Theoretical Domains Framework to understand barriers to and facilitators of active surveillance care delivery. Interviews were recorded, transcribed, and deductively coded into framework domains and constructs by 3 independent coders. Participant recruitment continued until data saturation by group. RESULTS: Our study included 19 PCPs (9 female; 4 in community practices, 15 in academic medical centers) and 15 urologists (3 female; 5 in private practice, 3 in academic medical centers). The most commonly reported Theoretical Domains Framework domains affecting active surveillance care were (1) knowledge and (2) environmental context and resources. Although urologists were knowledgeable about active surveillance, PCPs mentioned limitations in their understanding of active surveillance (eg, what follow-up entails). Both groups noted the importance of an informed patient, especially how a patient's understanding of active surveillance facilitates their receipt of recommended follow-up. Physicians viewed patient loss to follow-up as a barrier, but identified a favorable organizational culture/climate (eg, good communication between physicians) as a facilitator. CONCLUSIONS: With patients increasingly involving their PCPs in their cancer care, our study presents factors both PCPs and urologists perceive (or identify) as affecting optimal active surveillance care delivery. We provide insights that can help inform multilevel supportive interventions for patients, physicians, and organizations to ensure the success of active surveillance as a management strategy for low-risk prostate cancer.

Patient perspectives on factors influencing active surveillance adherence for low-risk prostate cancer: A qualitative study.

BACKGROUND: Prostate cancer is the most common cancer among men in the United States. Treatment guidelines recommend active surveillance for low-risk prostate cancer, which involves monitoring for progression, to avoid or delay definitive treatments and their side effects. Despite increased uptake, adherence to surveillance remains a challenge. METHODS: We conducted semi-structured, qualitative, virtual interviews based on the Theoretical Domains Framework (TDF), with men (15) who were or had been on active surveillance for their low-risk prostate cancer in 2020. Interviews were transcribed and coded under TDF's behavioral theory-based domains. We analyzed domains related to adherence to surveillance using constructivist grounded theory to identify themes influencing decision processes in adherence. RESULTS: The TDF domains of emotion, beliefs about consequences, environmental context and resources, and social influences were most relevant to surveillance adherence-. From these four TDF domains, three themes emerged as underlying decision processes: trust in surveillance as treatment, quality of life, and experiences of self and others. Positive perceptions of these three themes supported adherence while negative perceptions contributed to non-adherence (i.e., not receiving follow-up or stopping surveillance). The relationship between the TDF domains and themes provided a theoretical process describing factors impacting active surveillance adherence for men with low-risk prostate cancer. CONCLUSIONS: Men identified key factors impacting active surveillance adherence that provide opportunities for clinical implementation and practice improvement. Future efforts should focus on multi-level interventions that foster trust in surveillance as treatment, emphasize quality of life benefits and enhance patients' interpersonal experiences while on surveillance to optimize adherence.

Defining the molecular correlate of arteriolar hyalinosis in kidney disease progression by integration of single cell transcriptomic analysis and pathology scoring.

Arteriolar hyalinosis in kidneys is an independent predictor of cardiovascular disease, the main cause of mortality in chronic kidney disease (CKD). The underlying molecular mechanisms of protein accumulation in the subendothelial space are not well understood. Using single cell transcriptomic data and whole slide images from kidney biopsies of patients with CKD and acute kidney injury in the Kidney Precision Medicine Project, the molecular signals associated with arteriolar hyalinosis were evaluated. Co-expression network analysis of the endothelial genes yielded three gene set modules as significantly associated with arteriolar hyalinosis. Pathway analysis of these modules showed enrichment of transforming growth factor beta / bone morphogenetic protein (TGFß / BMP) and vascular endothelial growth factor (VEGF) signaling pathways in the endothelial cell signatures. Ligand-receptor analysis identified multiple integrins and cell adhesion receptors as over-expressed in arteriolar hyalinosis, suggesting a potential role of integrin-mediated TGFß signaling. Further analysis of arteriolar hyalinosis associated endothelial module genes identified focal segmental glomerular sclerosis as an enriched term. On validation in gene expression profiles from the Nephrotic Syndrome Study Network cohort, one of the three modules was significantly associated with the composite endpoint (> 40% reduction in estimated glomerular filtration rate (eGFR) or kidney failure) independent of age, sex, race, and baseline eGFR, suggesting poor prognosis with elevated expression of genes in this module. Thus, integration of structural and single cell molecular features yielded biologically relevant gene sets, signaling pathways and ligand-receptor interactions, underlying arteriolar hyalinosis and putative targets for therapeutic intervention.

SGLT2 inhibitors mitigate kidney tubular metabolic and mTORC1 perturbations in youth-onset type 2 diabetes.

The molecular mechanisms of sodium-glucose cotransporter-2 (SGLT2) inhibitors (SGLT2i) remain incompletely understood. Single-cell RNA sequencing and morphometric data were collected from research kidney biopsies donated by young persons with type 2 diabetes (T2D), aged 12 to 21 years, and healthy controls (HCs). Participants with T2D were obese and had higher estimated glomerular filtration rates and mesangial and glomerular volumes than HCs. Ten T2D participants had been prescribed SGLT2i (T2Di[+]) and 6 not (T2Di[-]). Transcriptional profiles showed SGLT2 expression exclusively in the proximal tubular (PT) cluster with highest expression in T2Di(-) patients. However, transcriptional alterations with SGLT2i treatment were seen across nephron segments, particularly in the distal nephron. SGLT2i treatment was associated with suppression of transcripts in the glycolysis, gluconeogenesis, and tricarboxylic acid cycle pathways in PT, but had the opposite effect in thick ascending limb. Transcripts in the energy-sensitive mTORC1-signaling pathway returned toward HC levels in all tubular segments in T2Di(+), consistent with a diabetes mouse model treated with SGLT2i. Decreased levels of phosphorylated S6 protein in proximal and distal tubules in T2Di(+) patients confirmed changes in mTORC1 pathway activity. We propose that SGLT2i treatment benefits the kidneys by mitigating diabetes-induced metabolic perturbations via suppression of mTORC1 signaling in kidney tubules.

Multi-Scalar Data Integration Links Glomerular Angiopoietin-Tie Signaling Pathway Activation With Progression of Diabetic Kidney Disease.

Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease (ESKD). Prognostic biomarkers reflective of underlying molecular mechanisms are critically needed for effective management of DKD. A three-marker panel was derived from a proteomics analysis of plasma samples by an unbiased machine learning approach from participants (N = 58) in the Clinical Phenotyping and Resource Biobank study. In combination with standard clinical parameters, this panel improved prediction of the composite outcome of ESKD or a 40% decline in glomerular filtration rate. The panel was validated in an independent group (N = 68), who also had kidney transcriptomic profiles. One marker, plasma angiopoietin 2 (ANGPT2), was significantly associated with outcomes in cohorts from the Cardiovascular Health Study (N = 3,183) and the Chinese Cohort Study of Chronic Kidney Disease (N = 210). Glomerular transcriptional angiopoietin/Tie (ANG-TIE) pathway scores, derived from the expression of 154 ANG-TIE signaling mediators, correlated positively with plasma ANGPT2 levels and kidney outcomes. Higher receptor expression in glomeruli and higher ANG-TIE pathway scores in endothelial cells corroborated potential functional effects in the kidney from elevated plasma ANGPT2 levels. Our work suggests that ANGPT2 is a promising prognostic endothelial biomarker with likely functional impact on glomerular pathogenesis in DKD.

Molecular programs associated with glomerular hyperfiltration in early diabetic kidney disease.

Hyperfiltration is a state of high glomerular filtration rate (GFR) observed in early diabetes that damages glomeruli, resulting in an iterative process of increasing filtration load on fewer and fewer remaining functional glomeruli. To delineate underlying cellular mechanisms of damage associated with hyperfiltration, transcriptional profiles of kidney biopsies from Pima Indians with type 2 diabetes with or without early-stage diabetic kidney disease were grouped into two hyperfiltration categories based on annual iothalamate GFR measurements. Twenty-six participants with a peak GFR measurement within two years of biopsy were categorized as the hyperfiltration group, and 26 in whom biopsy preceded peak GFR by over two years were considered pre-hyperfiltration. The hyperfiltration group had higher hemoglobin A1c, higher urine albumin-to-creatinine ratio, increased glomerular basement membrane width and lower podocyte density compared to the pre-hyperfiltration group. A glomerular 1240-gene transcriptional signature identified in the hyperfiltration group was enriched for endothelial stress response signaling genes, including endothelin-1, tec-kinase and transforming growth factor-ß1 pathways, with the majority of the transcripts mapped to endothelial and inflammatory cell clusters in kidney single cell transcriptional data. Thus, our analysis reveals molecular pathomechanisms associated with hyperfiltration in early diabetic kidney disease involving putative ligand-receptor pairs with downstream intracellular targets linked to cellular crosstalk between endothelial and mesangial cells.

The Michigan O'Brien Kidney Research Center: transforming translational kidney research through systems biology.

Research on kidney diseases is being transformed by the rapid expansion and innovations in omics technologies. The analysis, integration, and interpretation of big data, however, have been an impediment to the growing interest in applying these technologies to understand kidney function and failure. Targeting this urgent need, the University of Michigan O'Brien Kidney Translational Core Center (MKTC) and its Administrative Core established the Applied Systems Biology Core. The Core provides need-based support for the global kidney community centered on enabling incorporation of systems biology approaches by creating web-based, user-friendly analytic and visualization tools, like Nephroseq and Nephrocell, guiding with experimental design, and processing, analysis, and integration of large data sets. The enrichment core supports systems biology education and dissemination through workshops, seminars, and individualized training sessions. Meanwhile, the Pilot and Feasibility Program of the MKTC provides pilot funding to both early-career and established investigators new to the field, to integrate a systems biology approach into their research projects. The relevance and value of the portfolio of training and services offered by MKTC are reflected in the expanding community of young investigators, collaborators, and users accessing resources and engaging in systems biology-based kidney research, thereby motivating MKTC to persevere in its mission to serve the kidney research community by enabling access to state-of-the-art data sets, tools, technologies, expertise, and learning opportunities for transformative basic, translational, and clinical studies that will usher in solutions to improve the lives of people impacted by kidney disease.

SARS-CoV-2 receptor networks in diabetic and COVID-19-associated kidney disease.

COVID-19 morbidity and mortality are increased via unknown mechanisms in patients with diabetes and kidney disease. SARS-CoV-2 uses angiotensin-converting enzyme 2 (ACE2) for entry into host cells. Because ACE2 is a susceptibility factor for infection, we investigated how diabetic kidney disease and medications alter ACE2 receptor expression in kidneys. Single cell RNA profiling of kidney biopsies from healthy living donors and patients with diabetic kidney disease revealed ACE2 expression primarily in proximal tubular epithelial cells. This cell-specific localization was confirmed by in situ hybridization. ACE2 expression levels were unaltered by exposures to renin-angiotensin-aldosterone system inhibitors in diabetic kidney disease. Bayesian integrative analysis of a large compendium of public -omics datasets identified molecular network modules induced in ACE2-expressing proximal tubular epithelial cells in diabetic kidney disease (searchable at hb.flatironinstitute.org/covid-kidney) that were linked to viral entry, immune activation, endomembrane reorganization, and RNA processing. The diabetic kidney disease ACE2-positive proximal tubular epithelial cell module overlapped with expression patterns seen in SARS-CoV-2-infected cells. Similar cellular programs were seen in ACE2-positive proximal tubular epithelial cells obtained from urine samples of 13 hospitalized patients with COVID-19, suggesting a consistent ACE2-coregulated proximal tubular epithelial cell expression program that may interact with the SARS-CoV-2 infection processes. Thus SARS-CoV-2 receptor networks can seed further research into risk stratification and therapeutic strategies for COVID-19-related kidney damage.

SARS-CoV-2 receptor networks in diabetic and COVID-19 associated kidney disease.

COVID-19 morbidity and mortality is increased in patients with diabetes and kidney disease via unknown mechanisms. SARS-CoV-2 uses angiotensin-converting enzyme 2 (ACE2) for entry into host cells. Since ACE2 is a susceptibility factor for infection, we investigated how diabetic kidney disease (DKD) and medications alter ACE2 receptor expression in kidneys. Single cell RNA profiling of healthy living donor (LD) and DKD kidney biopsies revealed ACE2 expression primarily in proximal tubular epithelial cells (PTEC). This cell specific localization was confirmed by in situ hybridization. ACE2 expression levels were unaltered by exposures to renin angiotensin aldosterone system inhibitors in DKD. Bayesian integrative analysis of a large compendium of public -omics datasets identified molecular network modules induced in ACE2-expressing PTEC in DKD (searchable at hb.flatironinstitute.org/covid-kidney) that were linked to viral entry, immune activation, endomembrane reorganization, and RNA processing. The DKD ACE2-positive PTEC module overlapped with expression patterns seen in SARS-CoV-2 infected cells. Similar cellular programs were seen in ACE2-positive PTEC obtained from urine samples of 13 COVID-19 patients who were hospitalized, suggesting a consistent ACE2-coregulated PTEC expression program that may interact with the SARS-CoV-2 infection processes. Thus SARS-CoV-2 receptor networks can seed further research into risk stratification and therapeutic strategies for COVID-19 related kidney damage.

Single cell transcriptomics identifies focal segmental glomerulosclerosis remission endothelial biomarker.

To define cellular mechanisms underlying kidney function and failure, the KPMP analyzes biopsy tissue in a multicenter research network to build cell-level process maps of the kidney. This study aimed to establish a single cell RNA sequencing strategy to use cell-level transcriptional profiles from kidney biopsies in KPMP to define molecular subtypes in glomerular diseases. Using multiple sources of adult human kidney reference tissue samples, 22,268 single cell profiles passed KPMP quality control parameters. Unbiased clustering resulted in 31 distinct cell clusters that were linked to kidney and immune cell types using specific cell markers. Focusing on endothelial cell phenotypes, in silico and in situ hybridization methods assigned 3 discrete endothelial cell clusters to distinct renal vascular beds. Transcripts defining glomerular endothelial cells (GEC) were evaluated in biopsies from patients with 10 different glomerular diseases in the NEPTUNE and European Renal cDNA Bank (ERCB) cohort studies. Highest GEC scores were observed in patients with focal segmental glomerulosclerosis (FSGS). Molecular endothelial signatures suggested 2 distinct FSGS patient subgroups with α-2 macroglobulin (A2M) as a key downstream mediator of the endothelial cell phenotype. Finally, glomerular A2M transcript levels associated with lower proteinuria remission rates, linking endothelial function with long-term outcome in FSGS.

Systems Biology and Kidney Disease.

The kidney is a complex organ responsible for maintaining multiple aspects of homeostasis in the human body. The combination of distinct, yet interrelated, molecular functions across different cell types make the delineation of factors associated with loss or decline in kidney function challenging. Consequently, there has been a paucity of new diagnostic markers and treatment options becoming available to clinicians and patients in managing kidney diseases. A systems biology approach to understanding the kidney leverages recent advances in computational technology and methods to integrate diverse sets of data. It has the potential to unravel the interplay of multiple genes, proteins, and molecular mechanisms that drive key functions in kidney health and disease. The emergence of large, detailed, multilevel biologic and clinical data from national databases, cohort studies, and trials now provide the critical pieces needed for meaningful application of systems biology approaches in nephrology. The purpose of this review is to provide an overview of the current state in the evolution of the field. Recent successes of systems biology to identify targeted therapies linked to mechanistic biomarkers in the kidney are described to emphasize the relevance to clinical care and the outlook for improving outcomes for patients with kidney diseases.

Patient-reported advantages and disadvantages of peritoneal dialysis: results from the PDOPPS.

BACKGROUND: Patient-reported measures are increasingly recognized as important predictors of clinical outcomes in peritoneal dialysis (PD). We sought to understand associations between patient-reported perceptions of the advantages and disadvantages of PD and clinical outcomes. METHODS: In this cohort study, 2760 PD patients in the Peritoneal Dialysis Outcomes and Practice Patterns Study (PDOPPS) completed a questionnaire on their PD experience, between 2014 and 2017. In this questionnaire, PDOPPS patients rated 17 aspects of their PD experience on a 5-category ordinal scale, with responses scored from - 2 (major disadvantage) to + 2 (major advantage). An advantage/disadvantage score (ADS) was computed for each patient by averaging their response scores. The ADS, along with each of these 17 aspects, were used as exposures. Outcomes included mortality, transition to hemodialysis (HD), patient-reported quality of life (QOL), and depression. Cox regression was used to estimate associations between ADS and mortality, transition to HD, and a composite of the two. Logistic regression with generalized estimating equations was used to estimate cross-sectional associations of ADS with QOL and depression. RESULTS: While 7% of PD patients had an ADS < 0 (negative perception of PD), 59% had an ADS between 0 and < 1 (positive perception), and 34% had an ADS ≥1 (very positive perception). Minimal association was observed between mortality and the ADS. Compared with a very positive perception, patients with a negative perception had a higher transition rate to HD (hazard ratio [HR] = 1.67; 95% confidence interval [CI]: 1.21, 2.30). Among individual items, "space taken up by PD supplies" was commonly rated as a disadvantage and had the strongest association with transition to HD (HR = 1.28; 95% CI 1.07, 1.53). Lower ADS was strongly associated with worse QOL rating and greater depressive symptoms. CONCLUSIONS: Although patients reported a generally favorable perception of PD, patient-reported disadvantages were associated with transition to HD, lower QOL, and depression. Strategies addressing these disadvantages, in particular reducing solution storage space, may improve patient outcomes and the experience of PD.

Use of a Decision Aid for Patients Considering Peritoneal Dialysis and In-Center Hemodialysis: A Randomized Controlled Trial.

RATIONALE & OBJECTIVE: Annually, about 100,000 US patients face the difficult choice between the most common dialysis types, in-center hemodialysis and peritoneal dialysis. This study evaluated the value of a new decision aid to assist in the choice of dialysis modality. STUDY DESIGN: A parallel-group randomized controlled trial to test the efficacy of the decision aid on decision-making outcomes. SETTING & PARTICIPANTS: English-speaking US adults with advanced chronic kidney disease and internet access enrolled in 2015. INTERVENTION: Participants randomly assigned to the decision aid intervention received information about chronic kidney disease, peritoneal dialysis, and hemodialysis and a value clarification exercise through the study website using their own electronic devices. Participants in the control arm were only required to complete the control questionnaire. Questionnaire responses were used to assess differences across arms in decision-making outcomes. OUTCOMES: Treatment preference, decisional conflict, decision self-efficacy, knowledge, and preparation for decision making. RESULTS: Of 234 consented participants, 94 (40.2%) were lost to follow-up before starting the study. Among the 140 (70 in each arm) who started the study, 7 were subsequently lost to follow-up. Decision aid users had lower decisional conflict scores (42.5 vs 29.1; P<0.001) and higher average knowledge scores (90.3 vs 76.5; P<0.001). Both arms had high decisional self-efficacy scores independent of decision aid use. Uncertainty about choice of dialysis treatment declined from 46% to 16% after using the decision aid. Almost all (>90%) users of the decision aid reported that it helped in decision making. LIMITATIONS: Limited generalizability from the study of self-selected study participants who had to have internet access, speak English, and have computer literacy. High postrandomization loss to follow-up. Evaluation of only short-term outcomes. CONCLUSIONS: The decision aid improves decision-making outcomes immediately after use. Implementation of the decision aid in clinical practice may allow further assessment of its effects on patient engagement and empowerment in choosing a dialysis modality. FUNDING: This study was funded through a Patient Centered Outcomes Research Institute (PCORI) award (#1109). TRIAL REGISTRATION: Registered at ClinicalTrials.gov with study number NCT02488317.

Remote Management for Peritoneal Dialysis: A Qualitative Study of Patient, Care Partner, and Clinician Perceptions and Priorities in the United States and the United Kingdom.

RATIONALE & OBJECTIVE: Peritoneal dialysis (PD) is a home-based kidney replacement therapy used by a growing number of patients with kidney failure. This qualitative study explores the impact of remote management technologies on PD treatment priorities of patients, their care partners, and clinicians. STUDY DESIGN: Qualitative study, designed and conducted in collaboration with a stakeholder panel that included patients, patient advocates, care partners, and health care professionals. SETTING & PARTICIPANTS: 13 health care providers, 13 patients, and 4 care partners with at least 3 months experience with PD were recruited from the United States and United Kingdom through postings in PD clinics, websites, and social media. METHODOLOGY: Semi-structured telephone interviews with a purposive sample of participants. ANALYTICAL APPROACH: Inductive thematic development adapted from a grounded theory approach through analysis of interview transcripts by 3 independent coders. RESULTS: 4 main themes about PD treatments emerged that enabled evaluation of remote management: (1) impact of PD on everyday life, (2) simplifying treatment processes, (3) awareness and visibility of at-home treatments, and (4) support for managing treatments. The relative importance of these themes differed between patients/care partners and health care providers and by use of remote management cyclers. LIMITATIONS: Remote management is new to PD, mirrored in the limited penetration of use in the study sample, suggestive of findings reflecting early adoption. CONCLUSIONS: Participants welcomed technological advances such as remote management for PD, although priorities differed by stakeholder group. Remote management could potentially influence health care provider decisions about patient suitability for PD, while patients/care partners prioritized pre-emptive and early treatment adjustments. Currently, decisions about access to remote management are outside the control of patients and families, but this may change with more widespread use.

Perceptions about the dialysis modality decision process among peritoneal dialysis and in-center hemodialysis patients.

BACKGROUND: Patients reaching end-stage renal disease must make a difficult decision regarding renal replacement therapy (RRT) options. Because the choice between dialysis modalities should include patient preferences, it is critical that patients are engaged in the dialysis modality decision. As part of the Empowering Patients on Choices for RRT (EPOCH-RRT) study, we assessed dialysis patients' perceptions of their dialysis modality decision-making process and the impact of their chosen modality on their lives. METHODS: A 39-question survey was developed in collaboration with a multi-stakeholder advisory panel to assess perceptions of patients on either peritoneal dialysis (PD) or in-center hemodialysis (HD). The survey was disseminated to participants in the large US cohorts of the Dialysis Outcomes and Practice Patterns Study (DOPPS) and the Peritoneal DOPPS (PDOPPS). Survey responses were compared between PD and in-center HD patients using descriptive statistics, adjusted logistic generalized estimating equation models, and linear mixed regression models. RESULTS: Six hundred fourteen PD and 1346 in-center HD participants responded. Compared with in-center HD participants, PD participants more frequently reported that they were engaged in the decision-making process, were provided enough information, understood differences between dialysis modalities, and felt satisfied with their modality choice. PD participants also reported more frequently than in-center HD participants that partners or spouses (79% vs. 70%), physician assistants (80% vs. 66%), and nursing staff (78% vs. 60%) had at least some involvement in the dialysis modality decision. Over 35% of PD and in-center HD participants did not know another dialysis patient at the time of their modality decision and over 60% did not know the disadvantages of their modality type. Participants using either dialysis modality perceived a moderate to high impact of dialysis on their lives. CONCLUSIONS: PD participants were more engaged in the modality decision process compared to in-center HD participants. For both modalities, there is room for improvement in patient education and other support for patients choosing a dialysis modality.

Missed Hemodialysis Treatments: International Variation, Predictors, and Outcomes in the Dialysis Outcomes and Practice Patterns Study (DOPPS).

RATIONALE & OBJECTIVE: Missed hemodialysis (HD) treatments not due to hospitalization have been associated with poor clinical outcomes and related in part to treatment nonadherence. Using data from the Dialysis Outcomes and Practice Patterns Study (DOPPS) phase 5 (2012-2015), we report findings from an international investigation of missed treatments among patients prescribed thrice-weekly HD. STUDY DESIGN: Prospective observational study. SETTING & PARTICIPANTS: 8,501 patients participating in DOPPS, on HD therapy for more than 120 days, from 20 countries. Longitudinal and cross-sectional analyses were performed based on the 4,493 patients from countries in which 4-month missed treatment risk was > 5%. PREDICTORS: The main predictor of patient outcomes was 1 or more missed treatments in the 4 months before DOPPS phase 5 enrollment; predictors of missed treatments included country, patient characteristics, and clinical factors. OUTCOMES: Mortality, hospitalization, laboratory measures, patient-reported outcomes, and 4-month missed treatment risk. ANALYTICAL APPROACH: Outcomes were assessed using Cox proportional hazards, logistic, and linear regression, adjusting for case-mix and country. RESULTS: The 4-month missed treatment risk varied more than 50-fold across all 20 DOPPS countries, ranging from < 1% in Italy and Japan to 24% in the United States. Missed treatments were more likely with younger age, less time on dialysis therapy, shorter HD treatment time, lower Kt/V, longer travel time to HD centers, and more symptoms of depression. Missed treatments were positively associated with all-cause mortality (HR, 1.68; 95% CI, 1.37-2.05), cardiovascular mortality, sudden death/cardiac arrest, hospitalization, serum phosphorus level > 5.5mg/dL, parathyroid hormone level > 300pg/mL, hemoglobin level < 10g/dL, higher kidney disease burden, and worse general and mental health. LIMITATIONS: Possible residual confounding; temporal ambiguity in the cross-sectional analyses. CONCLUSIONS: In the countries with a 4-month missed treatment risk > 5%, HD patients were more likely to die, be hospitalized, and have poorer patient-reported outcomes and laboratory measures when 1 or more missed treatments occurred in a 4-month period. The large variation in missed treatments across 20 nations suggests that their occurrence is potentially modifiable, especially in the United States and other countries in which missed treatment risk is high.

Measuring patient experience in dialysis: a new paradigm of quality assessment.

Patients' experience of care (PEC) is as an important dimension in quality of care. As a distinct entity from patient satisfaction and patient health-related quality of life, PEC is defined as patients' perceptions of the range of interactions they have with the health care system, including care from providers, facilities, and health plans. While traditionally PEC may be ascertained via informal assessments, in recent years, especially in the United States, there has been a shift towards standardized surveillance of PEC amongst dialysis patients in order to: (1) set a normative expectation regarding the importance of PEC; (2) standardize the components of patients' experience that are assessed to minimize potential "blind spots"; (3) provide a direct "voice" to the patient in communicating perceptions of their care; (4) facilitate comparisons of quality across facilities; and (5) broaden accountability for PEC to the entire multidisciplinary dialysis care team. In this review, we will discuss the significance of PEC as a quality of care metric in dialysis patients; the history of PEC assessment across other health care arenas; the development of the In-Center Hemodialysis Consumer Assessment of Healthcare Provider and Systems survey as a means to standardize PEC assessment among US dialysis patients; experiences in PEC assessment across international dialysis populations; and future areas of research needed to refine the ascertainment of PEC and its impact upon patient outcomes.

Coping with kidney disease - qualitative findings from the Empowering Patients on Choices for Renal Replacement Therapy (EPOCH-RRT) study.

BACKGROUND: The highly burdensome effects of kidney failure and its management impose many life-altering changes on patients. Better understanding of successful coping strategies will inform patients and help health care providers support patients' needs as they navigate these changes together. METHODS: A qualitative, cross-sectional study involving semi-structured telephone interviews including open- and closed-ended questions, with 179 U.S. patients with advanced chronic kidney disease (CKD), either not yet on dialysis ([CKD-ND], n = 65), or on dialysis (hemodialysis [HD], n = 76; or peritoneal dialysis [PD], n = 38) recruited through social media and in-person contacts from June to December 2013. Themes identified through content analysis of interview transcripts were classified based on the Coping Strategies Index (CSI) and compared across groups by demographics, treatment modality, and health status. RESULTS: Overall, more engagement than disengagement strategies were observed. "Take care of myself and follow doctors' orders," "accept it," and "rely on family and friends" were the common coping themes. Participants often used multiple coping strategies. Various factors such as treatment modality, time since diagnosis, presence of other chronic comorbidities, and self-perceived limitations contributed to types of coping strategies used by CKD patients. CONCLUSIONS: The simultaneous use of coping strategies that span different categories within each of the CSI subscales by CKD patients reflects the complex and reactive response to the variable demands of the disease and its treatment options on their lives. Learning from the lived experience of others could empower patients to more frequently use positive coping strategies depending on their personal context as well as the stage of the disease and associated stressors. Moreover, this understanding can improve the support provided by health care systems and providers to patients to better deal with the many challenges they face in living with kidney disease.