Long-lasting clinical symptoms 6 months after COVID-19 infection in the French national cohort of patients on dialysis.

BACKGROUND: Systematic reviews have shown a high prevalence of long-term persistent sequelae after COVID-19. The aim of this study was to describe the prevalence and risk factors associated with long-lasting clinical symptoms (LLCS) in survivors on chronic dialysis at 6 months after the onset of acute COVID-19 infection in the pre-vaccination period. METHODS: This national cohort study included all French patients on dialysis who had SARS-Cov-2 infection between March and December 2020 and who were alive and still on dialysis 6 months after infection. A form was filled in at 6 months concerning the presence of the following persistent symptoms: extreme fatigue, headache, muscle or weight loss of > 5%, respiratory sequelae, tachycardia, chest pain, joint or muscle pain, persistent anosmia or ageusia, diarrhea, sensory disorders, neuro-cognitive disorders, post-traumatic stress syndrome, depression, and anxiety. RESULTS: Complete survey results were available for 1217 patients (25.2% of those included); 216 (17.7%) had some LLCS. Probability of 6-month LLCS was higher in patients who were hospitalized in a medical or intensive care unit: OR 1.64 (95% CI 1.16-2.33) and 5.03 (2.94-8.61), respectively. Younger patients had a lower probability of LLCS. Each year on dialysis, as well as diabetes, overweight or obesity were associated with a higher probability of LLCS by 1.03 (1.01-1.06), 1.53 (1.08-2.17), 1.96 (1.10-3.52) and 2.35 (1.30-4.26), respectively. CONCLUSIONS: This national study shows that at least one in six patients on dialysis who have COVID-19 will have LLCS. Systematic screening in dialysis patients would allow us to identify those who need more careful prevention and long-term care and to address them towards a rehabilitation pathway.

Impact of Tacrolimus Daily Dose Limitation in Renal Transplant Recipients Expressing CYP3A5: A Retrospective Study.

The pharmacokinetic variability of tacrolimus can be partly explained by CYP3A5 activity. Our objective was to evaluate a tacrolimus sparing policy on renal graft outcome according to CYP3A5 6986A>G genetic polymorphism. This retrospective study included 1114 recipients with a median follow-up of 6.3 years. Genotyping of the 6986A>G allelic variant corresponding to CYP3A5*3 was systematically performed. One year after transplantation, tacrolimus blood trough concentration (C0) target range was 5-7 ng/mL. However, daily dose was capped to 0.10 mg/kg/day regardless of the CYP3A5 genotype. A total 208 CYP3A5*1/- patients were included. Despite a higher daily dose, CYP3A5*1/- recipients exhibited lower C0 during follow-up (p < 0.01). Multivariate analysis did not show any significant influence of CYP3A5*1/- genotype (HR = 0.70, 0.46-1.07, p = 0.10) on patient-graft survival. Glomerular Filtration Rate (GFR) decline was significantly lower for the CYP3A5*1/- group (p = 0.02). The CYP3A5*1/- genotype did not significantly impact the risk of biopsy-proven acute rejection (BPAR) (HR = 1.01, 0.68-1.49, p = 0.97) despite significantly lower C0. Based on our experience, a strategy of tacrolimus capping is associated with a better GFR evolution in CYP3A5*1/- recipients without any significant increase of BPAR incidence. Our study raised some issues about specific therapeutic tacrolimus C0 targets for CYP3A5*1/- patients and suggests to set up randomized control studies in this specific population.

Effect of age and care organization on sources of variation in kidney transplant waiting list registration.

Despite national guidelines, medical practices and kidney transplant waiting list registration policies may differ from one dialysis/transplant unit to another. Benefit risk assessment variations, especially for elderly patients, have also been described. The aim of this study was to identify sources of variation in early kidney transplant waiting list registration in France. Among 16 842 incident patients during the period 2016-2017, 4386 were registered on the kidney transplant waiting list at the start of, or during the first year after starting, dialysis (26%). We developed various log-linear mixed effect regression models on three levels: patients, dialysis networks, and transplant centers. Variability was expressed as variance from the random intercepts (± standard error). Although patient characteristics have an important impact on the likelihood of registration, the overall magnitude of variability in registration was low and shared by dialysis networks and transplant centers. Between-transplant center variability (0.23 ± 0.08) was 1.8 higher than between-dialysis network variability (0.13 ± 0.004). Older age was associated with a lower probability of registration and greater variability between networks (0.04, 0.20, & 0.93 in the 18-64, 65-74, and 75-84 age groups). Targeted interventions should focus on elderly patients and/or certain regions with greater variability in waiting list access.

[Towards an extension of the REIN registry to patients with chronic kidney disease at stage 5 not treated with dialysis or transplantation? A pilot study]. / Vers une extension du registre REIN aux patients avec une maladie rénale chronique au stade 5 non traités par dialyse ou greffe ? Étude pilote.

To date, it is important to know more about the population of CKD stage 5 patients in order to better understand the practices of access to renal replacement therapy (RRT) or conservative treatment and to anticipate future needs. In April 2015, at the instigation of the Scientific Committee of REIN, a working group was formed to reflect on the opportunity and feasibility of a data collection on these patients. Between September 2017 and March 2018, 21 participating centers included 390 patients over a period of at least one month. The data collected included the patient's living conditions, level of study, mode of referral, clinical data and the therapeutic project. The median age at baseline was 71.4years (IQR: 58.4-80.4), 39.9% were diabetic. The median eGFR was 12mL/min/1.73m2 (IQR: 9-14). At inclusion, 77% of the patients were already followed in nephrology, 11% had been referred by a general practitioner. For the majority of patients included (81%), there was a RRT project. In 10% of cases, there was a project of conservative care, in 5% of cases the project was not yet decided and in 7% the project had not been yet discussed. At the latest news (median time 4.0months), 35% of patients were dialyzed, 9 (2%) have been pre-emptively transplanted, 25 (6%) died, 210 (54%) were still with a CKD stage 5. Our pilot study has shown the feasibility and interest of setting up such a data collection. Such a registry will provide important public health information regarding the demographic of nephrologists and advanced practices nurses. At the local level, this information will help the department to organize themselves to set-up pre-RRT information, implementation of care pathway nurses and multidisciplinary meetings for difficult cases. However, our pilot study shows that to ensure the completeness of the collection, the tracking upstream or downstream of nephrology consultations for eligible patients is essential and therefore requires dedicated human time on site.

The prognostic impact of cirrhosis on patients receiving maintenance haemodialysis.

BACKGROUND: Further study is needed on the prognostic impact of cirrhosis on haemodialysis patients. AIM: To evaluate cirrhosis' impact according to severity on survival and to provide therapeutic guidelines for haemodialysis cirrhotic patients. METHODS: Patients with end-stage renal failure treated with haemodialysis were included retrospectively from 01/01/2000 to 31/12/2004 and prospectively from 01/01/2005 to 31/12/2014 in our French Region. Clinical data, presence of cirrhosis and its severity were recorded at the beginning of haemodialysis. The primary endpoint was 2-year survival. RESULTS: Seven thousand three hundred and fifty-four patients (96%) without cirrhosis and 304 patients (4%) with cirrhosis were included. Two-year survival in noncirrhotic patients was higher than in cirrhotic patients (71.7% vs 54.4%, P < 0.0001). Patients with decompensated cirrhosis had a worse 2-year outcome (44.1%) as compared to compensated cirrhotic (62.8%, P = 0.002) and noncirrhotic patients (71.7%, P < 0.0001). Compensated and decompensated cirrhosis were independent predictive factors of 2-year mortality. In sensitivity analysis restricted to cirrhotic patients, 2-year survival of Child-Pugh A patients was higher than in Child-Pugh B and C patients (65.5% vs 27.7% vs 0%, P < 0.0001). Development of predictive models based either on severity scores (MELD and Child-Pugh) and extrahepatic comorbidities allowed correct classification of around 70% of patients in terms of mortality and may help to better stratify mortality risk in this population. CONCLUSIONS: Cirrhosis is independently associated with mortality in haemodialysis patients. Patients with severe cirrhosis have a poor 2-year outcome. Severity of cirrhosis and presence of extrahepatic comorbidities should be considered when deciding to initiate renal replacement therapy.