Background. Patients on kidney replacement therapy comprise a vulnerable population and may be at increased risk of death from coronavirus disease 2019 (COVID-19). Currently, only limited data are available on outcomes in this patient population. Methods. We set up the ERACODA (European Renal Association COVID-19 Database) database, which is specifically designed to prospectively collect detailed data on kidney transplant and dialysis patients with COVID-19. For this analysis, patients were included who presented between 1 February and 1 May 2020 and had complete information available on the primary outcome parameter, 28-day mortality. Results. Of the 1073 patients enrolled, 305 (28%) were kidney transplant and 768 (72%) dialysis patients with a mean age of 60 ± 13 and 67 ± 14 years, respectively. The 28-day probability of death was 21.3% [95% confidence interval (95% CI) 14.3–30.2%] in kidney transplant and 25.0% (95% CI 20.2–30.0%) in dialysis patients. Mortality was primarily associated with advanced age in kidney transplant patients, and with age and frailty in dialysis patients. After adjusting for sex, age and frailty, in-hospital mortality did not significantly differ between transplant and dialysis patients [hazard ratio (HR) 0.81, 95% CI 0.59–1.10, P = 0.18]. In the subset of dialysis patients who were a candidate for transplantation (n = 148), 8 patients died within 28 days, as compared with 7 deaths in 23 patients who underwent a kidney transplantation <1 year before presentation (HR adjusted for sex, age and frailty 0.20, 95% CI 0.07–0.56, P < 0.01). Conclusions. The 28-day case-fatality rate is high in patients on kidney replacement therapy with COVID-19 and is primarily driven by the risk factors age and frailty. Furthermore, in the first year after kidney transplantation, patients may be at increased risk of COVID-19-related mortality as compared with dialysis patients on the waiting list for transplantation. This information is important in guiding clinical decision-making, and for informing the public and healthcare authorities on the COVID-19-related mortality risk in kidney transplant and dialysis patients.

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Background COVID-19 has exposed hemodialysis patients and kidney transplant recipients to an unprecedented life-threatening infectious disease raising concerns about kidney replacement therapy (KRT) strategy during the pandemic. The present study investigated the association of type of KRT with COVID-19 severity adjusting for differences in individual characteristics. Methods Data on kidney transplant recipients and hemodialysis patients diagnosed with COVID-19 between February 1st and December 1st 2020 were retrieved from ERACODA. Cox regression models adjusted for age, sex, frailty and comorbidities were used to estimate hazard ratios (HR) for 28-day mortality risk in all patients and in the subsets who were tested because of symptoms Results In total, 1,670 patients (496 functional kidney transplant and 1,174 hemodialysis) were included. 16.9% of kidney transplant and 23.9% of hemodialysis patients died within 28 days of presentation. The unadjusted 28-day mortality risk was 33% lower in kidney transplant recipients compared with hemodialysis patients (HR: 0.67, 95%CI: 0.52-0.85). In a fully adjusted model, the risk was 78% higher in kidney transplant recipients (HR: 1.78, 95%CI: 1.22-2.61) compared with hemodialysis patients. This association was similar in patients tested because of symptoms (fully adjusted model HR: 2.00, 95%CI: 1.31-3.06). This risk was dramatically increased during the first post-transplant year. Results were similar for other endpoints (e.g. hospitalization, ICU admission, mortality beyond 28 days) and across subgroups. Conclusions Kidney transplant recipients had a greater risk of a more severe course of COVID-19 compared with hemodialysis patients; they therefore require specific infection mitigation strategies.

BackgroundDespite the many advantages it offers, the percentage of dialysis patients that receive home dialysis [peritoneal dialysis (PD) or home haemodialysis (HHD)] in the Netherlands has declined over the last decade. Pre-dialysis education could stimulate the use of home dialysis. This article presents the results of the pre-dialysis programme GUIDE, with regard to the following question: Does the implementation of a structured pre-dialysis programme with a home-focused approach increase the number of pre-dialysis patients that choose and receive home dialysis?MethodsThe GUIDE process starts when a patient has an eGFR of 15 mL/min/1.73 m2. The process begins with a home visit from a case manager and the completion of questionnaires by the patient, the case manager and the nephrologist. A multidisciplinary meeting (MDM) is held to determine a specific patient profile (or treatment recommendation). This is followed by patient education, a second MDM and finally the selection of the treatment by the patient and the nephrologist. This retrospective observational study describes the selection process of all patients that received a treatment recommendation between 12 September 2013 and 18 December 2014 at Meander Medical Centre. Data were collected by file research and analysis of questionnaires.ResultsOne hundred and two patients were included. They started the process at a mean eGFR of 12.3 mL/min/1.73 m2. Home dialysis was recommended for 62.8% of the patients who were advised to have dialysis treatment. Of the patients that opted for dialysis, 34.2% chose PD and 8.2% chose HHD; 22.9% started home dialysis as their first therapy, compared with 17.6% in the months before implementation of GUIDE. Finally, 32.1% of the patients that received dialysis therapy received home dialysis. In the months before GUIDE, an average of just 19.5% of the patients that received dialysis received home dialysis.ConclusionsIn comparison to historical data, the pre-dialysis programme GUIDE increases the number of patients that choose and receive home dialysis.

Rationale & Objective Patients on kidney replacement therapy (KRT) are at a very high risk of COVID-19. Triage pathway for KRT patients presenting with varying severity of COVID-19 illness remains ill-defined. We studied clinical characteristics of patients at initial and subsequent hospital presentations and its impact on patient outcomes. Study Design, Setting, Participants European Renal Association COVID-19 Database (ERACODA) was analysed for clinical and laboratory features of 1423 KRT patients with COVID-19 either hospitalized or non-hospitalized during first presentation and those representing after non-admission at initial triage. Predictors of outcomes (Hospitalisation, 28-day mortality) were determined for those not hospitalized at first presentation. Results Amongst 1423 KRT patients with COVID-19 (Hemodialysis = 1017/Transplant = 406), 25% (n = 355) were not hospitalized at first presentation (30% Hemodialysis/13% Transplant). Of these non-hospitalized patients, 10% (n = 36) re-presented second time, with a 5-day median interval between two presentations (Interquartile interval 2-7 days). Patients who re-presented had worsening respiratory symptoms, a fall in oxygen saturation (97% vs. 90%) and rise in C-reactive protein between attendances (26 vs. 73 mg/L). Patients on second presentation were older (72 vs. 63 years), had early respiratory symptoms and lung imaging abnormalities compared with those who did not return second time. The 28-day mortality for those admitted at first or second presentations was not significantly different (25% vs. 29%, p = 0.6). Higher age, prior smoking history, higher clinical frailty score and self-reported shortness of breath at first presentation, were identified as predictors of mortality in those discharged at initial triage. Conclusions The study provides evidence that KRT patients with COVID-19 and mild pulmonary abnormalities with lack of pulmonary insufficiency can be safely discharged, with vigilance of respiratory symptoms, especially in those with risk factors for poor outcomes. Our findings support a risk-stratified clinical approach to admissions and discharges of KRT patients presenting with COVID-19, to aid clinical triage and optimise resource utilisation during the ongoing pandemic.