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.
Aim:to analyze the results of the regional center for the creation and maintenance of vascular access for hemodialysis.Materials and methods.We performed a retrospective analysis. In five years (2012–2016) we performed 3,837 different operations on vascular access (VA) in 1,862 patients.Results.There is a strong dependence of type VA and the cause of CKD 5D. At the time of the HD start, the proportion of arteriovenous fistula (AVF), synthetic vascular graft (SVG) and central venous catheter (CVC) was 73.7, 0.3 and 26% for glomerulonephritis; 58.4, 0.4 and 41% for pyelonephritis; 53, 1 and 26% for diabetes mellitus; 32, 8 and 60% for polycystic disease and 33, 2 and 65% for systemic processes, respectively. After one year on HD the shares of AVF, SVG and CVC were 89, 2 and 9% for glomerulonephritis; 76, 6 and 18% of pyelonephritis; 70, 5 and 25% for diabetes mellitus; 68, 10 and 22% for polycystic disease and 53, 5 and 42% for systemic processes, respectively. In a case of start of HD via AVF, five years survival was 61% [95% CI 51.8; 71.9]; in a case of start HD via CVC with followed by conversion to AVF – 53.9% [95% CI 42.5; 67]; in a case of CVC remained the only access – 31.6% [21.4; 41.4]. Non-maturation of AVF was observed in 5.9% of new AVF (the risk increased in a case of diabetes mellitus), early thrombosis (before the first use of AVF) was observed in 12.7% of new AVF (the risk increased with diabetes, polycystic and systemic diseases). Creation of AVF a week before the start of HD or 1–2 weeks later significantly increased the risk of thrombosis. Primary patency in a year, three and five years was 77.2% (95% CI 71.7; 81.7); 48% (95% CI 41.6, 54.1); 34.1% (95% CI 27.8, 40.5) respectively; secondary patency – 87% [95% CI 83.7; 89.7]; 74.4% [95% CI 70.3; 78,12]; 60.9% [95% CI 56.4; 65.1] respectively. The use of temporary CVC is associated with a three-fold increase of the risk of infection compared with permanent CVC: IRR 3,31 (2,46; 4,43), p < 0,0001.Conclusion.A more detailed analysis is required to identify risk factors for complications of vascular access and to optimize approaches to its creation and maintenance.
Aim: to analyze the survival of patients on the waiting list for kidney transplantation and the results of transplantation depending on the duration of waiting.Materials and methods. We performed a retrospective observational analysis that included 1,197 patients on the waiting list. The end point was exclusion from the waiting list (WL). The causes for exclusion (death, exclusion due to deterioration of the comorbid background or transplantation) were considered in terms of competing risks.Results. In total, 72.5% of patients reached the end point: 21.1% of them died, 11% were excluded, and 40.4% underwent transplantation. Kaplan–Meier estimate showed that cumulative risk of death was 80.4% [95% CI 77.9; 88.6], of exclusion was 77.9% [95% CI 65.4; 88.2], of transplantation was 63.6% [95% CI 58.3; 69] after 10 years on the waiting list. However, such an assessment cannot be directly interpreted as a prediction of the relevant event risk of occurrence for the patient in the WL, because it does not take into account competing events. According to a balanced assessment of the competing risks (Fine and Gray estimate), cumulative incidence was 30.9% (95% CI 27.7; 34.2) for death, 18.2% [95% CI 15.5; 21.1] for exclusion and 49.4% [95% CI 46; 52.6%] for transplantation after 10 years on WL. The probability of transplantation was significantly higher than the risk of death up to and including 5 years of waiting (incidence rate ratio – IRR 1.769 [95% CI 1.098; 2.897]). When waiting 7 to 8 years, the probability of transplantation was less than the risk of death: IRR 0.25 (95% CI 0.093; 0.588; p = 0.0009). Of the 483 recipients, 61 died and 119 returned to dialysis. The risk of graft loss after 10 years was 68.5% [95% CI 57.5; 79.1] and the risk of death of a recipient with a functioning graft was 48.3% [95% CI 34.7; 63] according to Kaplan–Meier estimate. The cumulative incidence of the method was 30.8% [95% CI 23.3; 38.5%] and 55.7% [95% CI 46.6; 63.5%] according to Fine and Gray estimate, respectively. The risk of death after transplantation increases significantly when waiting for more than 6 years – IRR 4.325 [95% CI 1.649; 10.47], p = 0.0045 relative to a shorter waiting period. With an increase in the waiting period, the comorbid background (CIRS scale) deteriorates significantly, even adjusted for the initial patient condition: the partial correlation r = 0.735; p < 0.0001.Conclusion. 1. In the context of competing risks, the Fine and Gray estimate gives a more balanced risk assessment compared to the Kaplan–Meier method. 2. Increasing the waiting time for transplantation significantly increases the risk of death of the candidate on the waiting list and reduces the probability of transplantation, as well as increases the risk of death of the recipient after transplantation. Apparently, this is mainly due to the deterioration of the comorbid background.
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.
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