The Health Economic Impact of Nephrotic Syndrome in the United States.

Background: Nephrotic syndrome (NS) is a rare kidney syndrome with high morbidity. Although a common contributor to the burden of chronic kidney disease, the direct and indirect costs of NS to patients and family caregivers are unrecognized. The objective was to characterize the direct and indirect costs of NS to patients. Methods: Adults with NS and family caregivers of children with NS were eligible to participate if they had a diagnosis of primary NS, had disease for at least 1 year, and had no other severe health conditions. Data-collection surveys were generated with input from the Kidney Research Network Patient Advisory Board, and surveys were mailed to the eligible participants. Participants were provided $50 for the return of completed surveys. Costs were defined as either direct out-of-pocket costs or indirect costs (e.g., time). Descriptive statistics, including percentage and median (interquartile range [IQR]) are reported. Results: Respondents included 28 adult patients and 17 caregivers of patients who were minors. Reported health insurance coverage included 35 (78%) with private insurance, 12 (27%) with public insurance, six (13%) with Children's Special Health Care Services, and one (2%) uninsured. Median annual direct costs were $3464 ($844-$5865) for adult patients and $1687 (IQR $1035-$4763) for caregivers. Of these costs, diet-associated costs contributed $1140 (IQR $600-$2400). The most substantial indirect cost was from the time spent planning/prepping meals (adults: 183 h/yr [IQR 114-331]; caregivers: 173 h/yr [IQR 84-205]). Conclusions: Adults and caregivers of children with NS face substantial disease-related direct and indirect costs beyond those covered by insurance. Following replication, the study will help health care providers, systems, and payers gain a better understanding of the financial and time burden incurred by those living with NS, consider barriers when treating patients, and develop supportive strategies.

Health-Related Quality of Life in Focal Segmental Glomerular Sclerosis and Minimal Change Disease: A Qualitative Study of Children and Adults to Inform Patient-Reported Outcomes.

RATIONALE & OBJECTIVE: Assessment of how patients feel and function is needed for clinical care and research for focal segmental glomerulosclerosis (FSGS) and minimal change disease (MCD). The objective of this study was to develop a patient-reported outcome assessment appropriate for use in children and adults with FSGS and MCD. STUDY DESIGN: Qualitative study using semi-structured interviews. SETTING & PARTICIPANTS: 48 semi-structured interviews with children aged 8 to 17 years (n = 11) and adults (n = 10) with FSGS and children aged 8 to 17 (n = 11) and adults (n = 16) with MCD recruited from 3 academic medical centers. ANALYTICAL APPROACH: Latent content analysis. RESULTS: FSGS and MCD have a pervasive and comparable impact on physical, social, and mental health-related quality of life regardless of age or diagnosis. Physical symptoms of swelling, fatigue, and pain were articulated by most participants. Disease management was also a frequent topic of discussion; participants described their experiences with medication and associated side effects, as well as lifestyle changes made to manage their disease (ie, dietary changes and frequent medical appointments). These discussions often identified a profound impact on physical abilities and life participation. In many instances, participants described the negative impact these symptoms had on their mood and sense of self, with most participants reporting feelings of anxiety. LIMITATIONS: Participants were primarily non-Hispanic White and English speaking, which may limit generalizability. CONCLUSIONS: Our results suggest that there are commonalities to the FSGS-MCD patient experience of health-related quality of life that will enable the generation of a disease-specific FSGS-MCD patient-reported outcomes instrument for use in children and adults. The development of this tool is intended to facilitate better care and support clinical research for these individuals.

The Development and Use of an EHR-Linked Database for Glomerular Disease Research and Quality Initiatives.

Background and Objective: The use of electronic health record (EHR) data can facilitate efficient research and quality initiatives. The imprecision of ICD-10 codes for kidney diagnoses has been an obstacle to discrete data-defined diagnoses in the EHR. This manuscript describes the Kidney Research Network (KRN) registry and database that provide an example of a prospective, real-world data glomerular disease registry for research and quality initiatives. Methods: KRN is a multicenter collaboration of patients, physicians, and scientists across diverse health-care settings with a focus on improving treatment options and outcomes for patients with glomerular disease. The registry and data warehouse amasses retrospective and prospective data including EHR, active research study, completed clinical trials, patient reported outcomes, and other relevant data. Following consent, participating sites enter the patient into KRN and provide a physician-confirmed primary kidney diagnosis. Kidney biopsy reports are redacted and uploaded. Site programmers extract local EHR data including demographics, insurance type, zip code, diagnoses, encounters, laboratories, procedures, medications, dialysis/transplant status, vitals, and vital status monthly. Participating sites transform data to conform to a common data model prior to submitting to the Data Analysis and Coordinating Center (DACC). The DACC stores and reviews each site's EHR data for quality before loading into the KRN database. Results: As of January 2021, 1,192 patients have enrolled in the registry. The database has been utilized for research, clinical trial design, clinical trial end point validation, and supported quality initiatives. The data also support a dashboard allowing enrolling sites to assist with clinical trial enrollment and population health initiatives. Conclusion: A multicenter registry using EHR data, following physician- and biopsy-confirmed glomerular disease diagnosis, can be established and used effectively for research and quality initiatives. This design provides an example which may be readily replicated for other rare or common disease endeavors.

Association between Psychiatric Disorders and Glomerular Disease.

Introduction: Patients with chronic health conditions, particularly chronic kidney disease, are at heightened risk for psychiatric disorders; yet, there are limited data on those with primary glomerular disease. Methods: This study included patients with glomerular disease enrolled in the kidney research network multisite patient registry. Registry data include encounter, diagnoses, medication, laboratory, and vital signs data extracted from participants' electronic health records. ICD-9/10 diagnosis codes were used to identify a subset of psychiatric disorders focused on anxiety, mood, and behavioral disorders. Time-varying Cox proportional hazard models were used to analyze time from the onset of kidney disease to diagnosis of psychiatric disorder. Adjusted models retained significant covariates from the full list of potential confounders, including age, sex, race, ethnicity, time-varying treatment, the estimated glomerular filtration rate, and proteinuria (urine protein-to-creatinine ratio [UPCR]). Analogous models examined diagnosis of psychiatric disorder as a predictor of time to end-stage kidney disease (ESKD). Results: Data were available for 950 participants, with a median of 58 months of follow-up. 110 (12%) participants were diagnosed with psychiatric disorder during the follow-up. The estimated rate of psychiatric diagnosis after kidney disease was 14.7 cases per 1,000 person-years and was highest among those of adolescent age at the time of kidney disease diagnosis. Adjusted analyses found adolescent age (vs. adult, hazard ratio [HR] = 3.11, 95% confidence interval [CI] 1.87-5.17) and Asian race (vs. white, HR = 0.34, 95% CI 0.16-0.71) were associated with psychiatric diagnosis. A higher UPCR per 1 log unit (HR 1.13, 95% CI 1.01-1.27) and a higher total number of oral medications were associated with psychiatric disorder (p < 0.001). Psychiatric diagnosis was also associated with progression to ESKD (HR = 2.45, 95% CI 1.53-3.92) in adjusted models. Discussion/Conclusion: Psychiatric disorders were documented in approximately one-eighth of patients with glomerular disease and correlated with clinical disease characteristics such as age, race, proteinuria, and oral medication burden. These findings suggest mental health screening is warranted in patients of all ages with glomerular disease.