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.

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.

The urinary chemokines CXCL9 and CXCL10 are promising noninvasive diagnostic markers of acute rejection (AR) in kidney recipients, but their levels might be confounded by urinary tract infection (UTI) and BK virus (BKV) reactivation. Multiparametric model development and validation addressed these confounding factors in a training set of 391 samples, optimizing the diagnostic performance of | 3463 TINEL ET aL.