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.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNA vaccination may fail to sufficiently protect transplant recipients against coronavirus disease 2019 (COVID-19). We retrospectively evaluated COVID-19 in kidney transplant recipients (n = 226) after BNT162b2 mRNA vaccine administration. The control group consisted of unvaccinated patients (n = 194) during the previous pandemic wave. We measured anti-spike protein immunoglobulin G (IgG) levels and cellular responses, using enzyme-linked immunosorbent spot assay, in a prospective cohort after vaccination (n = 31) and recovery from COVID-19 (n = 19). COVID-19 was diagnosed in 37 (16%) vaccinated and 43 (22%) unvaccinated patients. COVID-19 severity was similar in both groups, with patients exhibiting a comparable need for hospitalization (41% vs. 40%, p = 1.000) and mortality (14% vs. 9%, p = .726). Short posttransplant periods were associated with COVID-19 after vaccination (p < .001). Only 5 (16%) patients achieved positive SARS-CoV-2 IgG after vaccination, and 17 (89%, p < .001) recovered from COVID-19 (median IgG levels, 0.6 vs. 52.5 AU/ml, p < .001). A cellular response following vaccination was present in the majority (n = 22, 71%), with an increase in interleukin 2 secreting T cells (p < .001). Despite detectable T cell immunity after mRNA vaccination, kidney transplant recipients remained at a high risk of severe COVID-19.Humoral responses induced by vaccination were significantly lower than that after COVID-19.

Background/Aims: The immune response to influenza vaccine may be influenced by many factors, e.g. age, comorbidities or inflammation, and iron status. Methods: We studied the vaccine-induced production of hemagglutination-inhibition antibodies (HI) in 133 hemodialysis patients (HD) and 40 controls. To identify variables associated with the immune response, uni- and multivariate regression analyses were performed with seroconversion in HI titers as a dependent variable, with demographics, comorbidities, previous vaccination, inflammation, and iron status as independent variables. Results: Seroconversion rates were lower in HD than in controls [43% versus 73% (H1N1 strain; p < 0.05); 43% versus 53% (H3N2; P=NS); 36% versus 62% (B; p < 0.05)]. In both HD and control groups, the predictors of the inferior HI production were pre-vaccination seroprotection, vaccination in the previous season, and old age. We did not find associations between seroconversion rates and inflammation and iron status in the studied populations. This was also true for a subanalysis of patients without pre-vaccination seroprotection. Conclusion: The influenza vaccine-induced antibody production was lower in HD than in controls and was independent of inflammation and iron status in both groups. Besides dependence on dialysis, the variables associated with inferior seroconversion rates included pre-vaccination seroprotection, previous vaccination, and old age.

Background: The immune response to vaccination in hemodialysis (HD) patients can be influenced by disorders of iron metabolism, iron overload or chronic inflammatory state. Elevated levels of hepcidin are considered a new marker of iron metabolism impairment and anemia of inflammation in HD patients. Methods: We studied the effects of hepcidin, other markers of iron status and intravenous iron (Fe_iv) on the response to an influenza vaccine (Influvac® subunit 2008/2009) in 40 HD patients. The immune response of HD patients was compared with that of 46 controls without renal disease according to serum antihemagglutinin antibody titer (anti-HA). Results: A total of 31 HD patients (responders) attained seroconversion (at least a 4-fold increase in anti-HA) to at least 1 of 3 vaccine strains; 9 patients (nonresponders) did not respond to any strain. Responders did not differ from nonresponders in hepcidin [99 µg/l (36–200) vs. 97 µg/l (23–216), p = 0.97]. Responders had lower ferritin (571 ± 291 vs. 821 ± 309 µg/l, p = 0.031) and were administered higher doses of Fe_iv within the last 12 weeks prior to vaccination [625 mg (312–625) vs. 312 mg (0–625), p = 0.029]. The seroconversion to A(H1N1), A(H3N2) and B strains was noted in 20, 52 and 40% of HD and in 11, 39 and 48% of controls, respectively (HD vs. controls, p = nonsignificant). The rates of seroprotection (anti-HA ≧40) to vaccine strains in HD (27, 85 and 95%) and controls (24, 96 and 98%) were also comparable. Conclusion: Antibody production following influenza vaccination in HD patients may be suppressed by very high ferritin levels. Hepcidin does not correlate with immune response and high levels of hepcidin may reflect its retention in HD patients. Fe_iv administration was not associated with a poorer immune response. The immunogenicity of the A(H1N1) strain was inadequate in HD patients and controls alike.