[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.

[Is cancer incidence different between type 2 diabetes patients compared to non-diabetics in hemodialysis? A study from the REIN registry]. / Patients en hémodialyse : l'incidence de cancer est-elle différente entre les diabétiques de type 2 comparés aux non-diabétiques ? Une étude du registre REIN.

BACKGROUND AND OBJECTIVES: In France, diabetes mellitus is now the second cause of end stage renal disease. In a large previous French national study, we observed that dialyzed diabetics have a significant lower risk of death by cancer. This first study was focused on cancer death but did not investigate cancer incidence. In this context, the aim of this second study was to compare the incidence of cancer in diabetic dialyzed patients compared to non-diabetic dialyzed patients in a French region. METHODS: This epidemiologic multicentric study included 588 diabetic and non-diabetic patients starting hemodialysis between 2002 and 2007 in Bretagne. Data were issued from REIN registry and cancer incidence were individually collected from medical records. Diabetics and non-diabetics were matched one by one on age, sex and year of dialysis initiation. RESULTS: During the follow-up, we observed 28 cancers (9.4%) in diabetic patients and 26 cancers (8.9%) in non-diabetics patients. The cumulative incidence to develop a cancer 2 years after the dialysis start was approximately 6% in both diabetics and non-diabetics patients. In univariate Fine and Gray analysis, BMI, hemoglobin, statin use had P-value<0.2. However, in the adjusted model, these variables were not significantly associated with cancer incidence. CONCLUSION: This study lead on a little number of dialyzed patients did not show any significant difference on cancer incidence between diabetic and non-diabetic patients after hemodialysis start.

Influence of Socio-Economic Inequalities on Access to Renal Transplantation and Survival of Patients with End-Stage Renal Disease.

BACKGROUND: Public and scientific concerns about the social gradient of end-stage renal disease and access to renal replacement therapies are increasing. This study investigated the influence of social inequalities on the (i) access to renal transplant waiting list, (ii) access to renal transplantation and (iii) patients' survival. METHODS: All incident adult patients with end-stage renal disease who lived in Bretagne, a French region, and started dialysis during the 2004-2009 period were geocoded in census-blocks. To each census-block was assigned a level of neighborhood deprivation and a degree of urbanization. Cox proportional hazards models were used to identify factors associated with each study outcome. RESULTS: Patients living in neighborhoods with low level of deprivation had more chance to be placed on the waiting list and less risk of death (HR = 1.40 95%CI: [1.1-1.7]; HR = 0.82 95%CI: [0.7-0.98]), but this association did not remain after adjustment for the patients' clinical features. The likelihood of receiving renal transplantation after being waitlisted was not associated with neighborhood deprivation in univariate and multivariate analyses. CONCLUSIONS: In a mixed rural and urban French region, patients living in deprived or advantaged neighborhoods had the same chance to be placed on the waiting list and to undergo renal transplantation. They also showed the same mortality risk, when their clinical features were taken into account.

Type 1 and type 2 diabetes and cancer mortality in the 2002-2009 cohort of 39,811 French dialyzed patients.

End-stage renal disease is a chronic and progressive pathology associated with several comorbidities, particularly diabetes. Indeed, diabetes is the first cause of end-stage renal disease and, in France, 42% of incident patients had diabetes in 2012. In the general population, diabetes is associated with increased cancer risk. The aim of this study was to examine the association between risk of cancer death and diabetes in a large French cohort of patients with end-stage renal disease. Data on all patients with end-stage renal disease who initiated dialysis in France between 2002 and 2009 were extracted from the Renal Epidemiology Information Network registry. The risk of dying by cancer was studied using the Fine and Gray model to take into account the competing risk of death by other causes. We analyzed 39,811 patients with end-stage renal disease. Their mean age was 67.7±15 years, 39.4% had diabetes and 55.3% at least one cardiovascular disease. Compared with the non-diabetic group, patients with diabetes were older and had more cardiovascular and respiratory comorbidities when they started dialysis. Conversely, fewer diabetic patients had also a tumor at the beginning of the renal replacement therapy. Cancer was indicated as the cause of death for 6.7% of diabetic and 13.4% of non-diabetic patients. The Fine and Gray multivariate analyses indicated that diabetes (HR=0.72 95% CI: [0.68-0.95], p<0.001) and also female gender, peritoneal dialysis, cardio-vascular disease and kidney transplantation were associated with decreased risk of death by cancer. In this French cohort of patients with end-stage renal disease, diabetes was not associated with a significant increased risk of dying from cancer. Studies on the incidence of cancer in patients with ESRD are now needed to evaluate the potential association between diabetes and specific malignancies in this population.

Spatial distribution of end-stage renal disease (ESRD) and social inequalities in mixed urban and rural areas: a study in the Bretagne administrative region of France.

BACKGROUND: Several studies have investigated the implication of biological and environmental factors on geographic variations of end-stage renal disease (ESRD) incidence at large area scales, but none of them assessed the implication of neighbourhood characteristics (healthcare supply, socio-economic level and urbanization degree) on spatial repartition of ESRD. We evaluated the spatial implications of adjustment for neighbourhood characteristics on the spatial distribution of ESRD incidence at the smallest geographic unit in France. METHODS: All adult patients living in Bretagne and beginning renal replacement therapy during the 2004-09 period were included. Their residential address was geocoded at the census block level. Each census block was characterized by socio-economic deprivation index, healthcare supply and rural/urban typology. Using a spatial scan statistic, we examined whether there were significant clusters of high risk of ESRD incidence. RESULTS: The ESRD incidence was non-randomly spatially distributed, with a cluster of high risk in the western Bretagne region (relative risk, RR = 1.28, P-value = 0.0003). Adjustment for sex, age and neighbourhood characteristics induced cluster shifts. After these adjustments, a significant cluster (P = 0.013) persisted. CONCLUSIONS: Our spatial analysis of ESRD incidence at a fine scale, across a mixed rural/urban area, indicated that, beyond age and sex, neighbourhood characteristics explained a great part of spatial distribution of ESRD incidence. However, to better understand spatial variation of ESRD incidence, it would be necessary to research and adjust for other determinants of ESRD.