Kidney transplant recipients may be at a high risk of developing critical coronavirus disease 2019 (COVID‐19) illness due to chronic immunosuppression and comorbidities. We identified hospitalized adult kidney transplant recipients at 12 transplant centers in the United States, Italy, and Spain who tested positive for COVID‐19. Clinical presentation, laboratory values, immunosuppression, and treatment strategies were reviewed, and predictors of poor clinical outcomes were determined through multivariable analyses. Among 9845 kidney transplant recipients across centers, 144 were hospitalized due to COVID‐19 during the 9‐week study period. Of the 144 patients, 66% were male with a mean age of 60 (±12) years, and 40% were Hispanic and 25% were African American. Prevalent comorbidities included hypertension (95%), diabetes (52%), obesity (49%), and heart (28%) and lung (19%) disease. Therapeutic management included antimetabolite withdrawal (68%), calcineurin inhibitor withdrawal (23%), hydroxychloroquine (71%), antibiotics (74%), tocilizumab (13%), and antivirals (14%). During a median follow‐up period of 52 days (IQR: 16‐66 days), acute kidney injury occurred in 52% cases, with respiratory failure requiring intubation in 29%, and the mortality rate was 32%. The 46 patients who died were older, had lower lymphocyte counts and estimated glomerular filtration rate levels, and had higher serum lactate dehydrogenase, procalcitonin, and interleukin‐6 levels. In sum, hospitalized kidney transplant recipients with COVID‐19 have higher rates of acute kidney injury and mortality.

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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Pre-transplant donor biopsy (PTDB)-based marginal-donor allocation systems to single or dual renal transplantation could increase the use of organs with Kidney Donor Profile Index (KDPI) in the highest range (e.g. >80 or >90), whose discard rate approximates 50% in the US. To test this hypothesis, we retrospectively calculated the KDPI and analyzed the outcomes of 442 marginal kidney transplants (340 single transplants: 278 with a PTDB Remuzzi score <4 [median KDPI:87; interquartile range(IQR):78-94] and 62 with a score =4 [median KDPI:87; IQR:76-93]; 102 dual transplants [median KDPI: 93; IQR:86-96]) and 248 single standard transplant controls [median KDPI:36; IQR:18-51]. PTDB-based allocation of marginal grafts led to a limited discard rate of 15% for kidneys with KDPI of 80-90 and of 37% for kidneys with a KDPI of 91-100. Although 1-year eGFRs were significantly lower in recipients of marginal kidneys (-9.3, -17.9, and -18.8ml/min, for dual transplants, single kidneys with PTDB score <4, and =4, respectively; P<0.001), graft survival (median follow-up 3.3 years) was similar between marginal and standard kidney transplants (hazard ratio: 1.20 [95% confidence interval: 0.80 to 1.79; P=0.38]). In conclusion, PTDB-based allocation allows the safe transplantation of kidneys with KDPI in the highest range that may otherwise be discarded.

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.

Pre-existing CKD, intra-arterial administration and CM volume are the most important risk factors for CI-AKI. Since risk factors for CI-AKI are well defined, and the timing of renal insult is known, patients should be carefully stratified before the administration of CM, in order to reduce the negative impact of modifiable risk factors on renal function. The intravenous administration of moderate amounts of isotonic saline solution or bicarbonate solution still represents the principal intervention with documented and acceptable effectiveness for CI-AKI prevention. More data are needed on aggressive volume expansion strategies along with diuretics, targeting forced diuresis with high urinary output. The role of antioxidant agents remains controversial, and only moderate evidence exists in favour of N-acetylcysteine. Statins could contribute to reducing the incidence of CI-AKI, although their mechanism of action is not fully ascertained. No robust data demonstrate a reduction of CI-AKI incidence by peri-procedural hemodialysis/hemofiltration; renal replacement therapies may carry instead unnecessary risks. Remote ischemic preconditioning might represent a simple, non-invasive and cost effective preventive measure for CI-AKI prevention, but few data are currently available about its clinical application in patients at high risk of CI-AKI.

Background and aim of the studyIn hemodialysis patients, sedentarism is a potentially modifiable mortality risk factor. We explored whether healthcare staff’s attitude towards exercise interacts with patient-perceived barriers in modifying the level of physical activity in this population.MethodsIn this prospective, cross-sectional, multicenter study we recruited 608 adult patients and 330 members of the healthcare staff in 16 hemodialysis units in Italy. We assessed patient-perceived barriers to, and healthcare staff’s attitude towards, exercise by specific questionnaires. We fitted multilevel linear models to analyze the relationships of either barriers or staff’s attitude, and their interaction, with a measure of patient self-reported physical activity (the Human Activity Profile–Adjusted Activity Score [HAP-AAS]), adjusting for multiple confounders. We also employed latent class analysis to dichotomize patients into those endorsing or not endorsing barriers.ResultsMost barriers were negatively associated with the HAP-AAS (adjusted change attributable to a given barrier ranging between -5.1 [“Feeling too old”, 95% Confidence Interval: -9.4 to -0.8] and -15.6 [“Ulcers on legs and feet”, 95%CI: -24.8 to -6.5]. We found a significant interaction between staff’s attitude and barriers (adjusted P values ranging between 0.03 [“I do not believe that it is physician’s or nurse’s role providing advice on exercise to patients on dialysis”] and 0.001 [“I do not often ask patients about exercise”]). A beneficial effect of a proactive staff’s attitude was evident only in patients not endorsing barriers.ConclusionsBarriers and non-proactive staff’s attitude reduce physical activity in hemodialysis patients. Patients not endorsing barriers benefit the most from a proactive staff’s attitude.

Kidney transplantation is the treatment of choice for most of the patients with end-stage renal disease (ESRD). It improves quality of life, life expectancy, and has a lower financial burden to the healthcare system in comparison to dialysis. Every year more and more older patients are included in the kidney transplant waitlist. Within this patient population, transplanted subjects have better survival and quality of life as compared to those on dialysis. It is therefore crucial to select older patients who may benefit from renal transplantation, as well as those particularly at risk for post-transplant complications. Sarcopenia and frailty are frequently neglected in the evaluation of kidney transplant candidates. Both conditions are interrelated complex geriatric syndromes that are linked to disability, aging, comorbidities, increased mortality, and graft failure post-transplantation. Chronic kidney disease (CKD) and more importantly ESRD are characterized by multiple metabolic complications that contribute for the development of sarcopenia and frailty. In particular, anorexia, metabolic acidosis and chronic low-grade inflammation are the main contributors to the development of sarcopenia, a key component in frail transplant candidates and recipients. Both frailty and sarcopenia are considered to be reversible. Frail patients respond well to multiprofessional interventions that focus on the patients' positive frailty criteria, while physical rehabilitation and oral supplementation may improve sarcopenia. Prospective studies are still needed to evaluate the utility of formally measuring frailty and sarcopenia in the older candidates to renal transplantation as part of the transplant evaluation process.