Kidney Failure Risk Equation in vascular access planning: a population-based study supporting value in decision making.

Background: The Kidney Failure Risk Equation (KFRE) can play a better role in vascular access (VA) planning in patients with chronic kidney disease (CKD) requiring hemodialysis (HD). We described the VA creation and utilization pattern under existing estimated glomerular filtration rate (eGFR)-based referral, and investigated the utility of KFRE score as an adjunct variable in VA planning. Methods: Patients with CKD aged ≥18 years with eGFR <20 mL/min/1.73 m2 who chose HD as dialysis modality from January 2010 to August 2020 were included from a population-based database in British Columbia, Canada. Modality selection date was the index date. Exposures were categorized as (i) current eGFR-based referral, (ii) eGFR-based referral plus KRFE 2-year risk score on index date (KFRE-2) >40% and (iii) eGFR-based referral plus KFRE-2 ≤40%. We estimated the proportion of patients who started HD on arteriovenous fistula/graft (AVF/G) within 2 years, indicating timely pre-emptive creation, and the proportion of patients in whom AVF/G was created but did not start HD within 2 years, indicating too-early creation. Results: Study included 2581 patients, median age 71 years, 60% male. Overall, 1562(61%) started HD and 276 (11%) experienced death before HD initiation within 2 years. Compared with current referral, the proportion of patients who started HD on AVF/G was significantly higher when KFRE-2 was considered in addition to current referral (49% vs 58%, P-value <.001). Adjunct KFRE-2 significantly reduced too-early creation (31% vs 18%, P-value <.001). Conclusions: KFRE in addition to existing eGFR-based referral for VA creation has the potential to improve VA resource utilization by ensuring more patients start HD on AVF/G and may minimize too-early/unnecessary creation. Prospective research is necessary to validate these findings.

Are patients with primary glomerular disease at increased risk of malignancy?

Over the past decade, several observational studies and case series have provided evidence suggesting a connection between glomerular diseases (GN) and the development of malignancies, with an estimated risk ranging from 5%-11%. These malignancies include solid organ tumors as well as hematologic malignancies such as lymphoma and leukemia. However, these risk estimates are subject to several sources of bias, including unmeasured confounding from inadequate exploration of risk factors, inclusion of GN cases that were potentially secondary to an underlying malignancy, misclassification of GN type, and ascertainment bias arising from an increased likelihood of physician encounters compared to the general population. Consequently, population-based studies that accurately evaluate the cancer risk in GN populations are lacking. While it is speculated that long-term use of immunosuppressive medications and GN disease activity measured by proteinuria and estimated glomerular filtration rate may be associated with cancer risk in patients with GN, the independent role of these risk factors remains largely unknown. The presence of these knowledge gaps could lead to (i) lack of awareness of cancer as a potential chronic complication of GN, (ii) under-utilization of routine screening practices in clinical care that allow early diagnosis and treatment of malignancies, and (iii) under-recognition of modifiable risk factors to decrease the risk of de novo malignancies over time. This review summarizes the current evidence on the risk of cancer in patients with GN, explores the limitations of prior studies, and discusses methodological challenges and potential solutions for obtaining accurate estimates of cancer risk and identifying modifiable risk factors unique to GN populations.

Long-term effect of COVID-19 infection on kidney function among COVID-19 patients followed in post-COVID-19 recovery clinics in British Columbia, Canada.

BACKGROUND: We investigated the effect of Post-Acute COVID Syndrome or "long-COVID" on kidney function among patients followed in post-COVID recovery clinics (PCRC) in British Columbia, Canada. METHODS: Long-COVID patients referred to PCRC between July 2020 to April 2022, aged ≥18 years who had an estimated glomerular filtration rate (eGFR) value recorded at 3 months from the coronavirus disease 2019 (COVID-19) diagnosis (index) date were included. Those requiring renal replacement therapy prior to index date were excluded. Primary outcome was change in eGFR and urine albumin-creatinine ratio (UACR) after COVID-19 infection. The proportion of patients in each of the six eGFR categories (<30, 30-44, 45-59, 60-89, 90-120 and >120 mL/min/1.73 m2) and three UACR categories (<3, 3-30 and >30 mg/mmol) in all of the study time points were calculated. Linear mixed model was used to investigate change in eGFR over time. RESULTS: The study sample included 2212 long-COVID patients. Median age was 56 years, 51% were male. Half (∼47%-50%) of the study sample had normal eGFR (≥90 mL/min/1.73 m2) from COVID-19 diagnosis to 12 months post-COVID and <5% of patients had an eGFR <30 mL/min/1.73 m2. There was an estimated 2.96 mL/min/1.73 m2 decrease in eGFR within 1 year after COVID-19 infection that was equivalent to 3.39% reduction from the baseline. Decline in eGFR was highest in patients hospitalized for COVID-19 (6.72%) followed by diabetic patients (6.15%). More than 40% of patients were at risk of CKD. CONCLUSIONS: People with long-COVID experienced a substantial decline in eGFR within 1 year from the infection date. The prevalence of proteinuria appeared to be high. Close monitoring of kidney function is prudent among patients with persistent COVID-19 symptoms.

A Population-Based Analysis of the Risk of Glomerular Disease Relapse after COVID-19 Vaccination.

BACKGROUND: Although case reports have described relapses of glomerular disease after COVID-19 vaccination, evidence of a true association is lacking. In this population-level analysis, we sought to determine relative and absolute risks of glomerular disease relapse after COVID-19 vaccination. METHODS: In this retrospective population-level cohort study, we used a centralized clinical and pathology registry (2000-2020) to identify 1105 adult patients in British Columbia, Canada, with biopsy-proven glomerular disease that was stable on December 14, 2020 (when COVID-19 vaccines first became available). The primary outcome was disease relapse, on the basis of changes in kidney function, proteinuria, or both. Vaccination was modeled as a 30-day time-varying exposure in extended Cox regression models, stratified on disease type. RESULTS: During 281 days of follow-up, 134 (12.1%) patients experienced a relapse. Although a first vaccine dose was not associated with relapse risk (hazard ratio [HR]=0.67; 95% confidence interval [95% CI], 0.33 to 1.36), exposure to a second or third dose was associated with a two-fold risk of relapse (HR=2.23; 95% CI, 1.06 to 4.71). The pattern of relative risk was similar across glomerular diseases. The absolute increase in 30-day relapse risk associated with a second or third vaccine dose varied from 1%-2% in ANCA-related glomerulonephritis, minimal change disease, membranous nephropathy, or FSGS to 3%-5% in IgA nephropathy or lupus nephritis. Among 24 patients experiencing a vaccine-associated relapse, 4 (17%) had a change in immunosuppression, and none required a biopsy. CONCLUSIONS: In a population-level cohort of patients with glomerular disease, a second or third dose of COVID-19 vaccine was associated with higher relative risk but low absolute increased risk of relapse.

Medication Nonadherence in Systemic Lupus Erythematosus: A Systematic Review.

OBJECTIVE: Medication nonadherence has not been well characterized in systemic lupus erythematosus (SLE). Our objective was to a conduct a systematic review of the literature, examining the burden and determinants of medication nonadherence in SLE. METHODS: We conducted a systematic search of Medline (1946-2015), Embase (1974-2015), and Web of Science (1900-2015) databases and selected original studies of SLE patients that evaluated nonadherence to SLE therapies as the primary study outcome. We extracted information on study design, sample size, length of followup, data sources, type of nonadherence problem examined, adherence measures and reported estimates, and determinants of adherence reported in multivariable analyses. RESULTS: After screening 4,111 titles, 11 studies met the inclusion criteria. Study sample sizes ranged from 32 to 246 patients, and studies were categorized according to data source: self-report (5), electronic monitoring devices (1), clinical records from rheumatology clinics (3), and refill information from pharmacy records (2). Overall, the percentage of nonadherent patients ranged from 43% to 75%, with studies consistently reporting that over half of patients are nonadherent. Studies also showed that up to 33% of patients discontinue therapy after 5 years. Determinants of nonadherence included having depression, rural residence, lower education level, and polypharmacy. CONCLUSION: Overall, synthesis of current evidence suggests that the burden of medication nonadherence is substantial in SLE. Findings highlight the importance of developing interventions to support adherence and improve outcomes among patients.