Effect of social deprivation on peritoneal dialysis uptake: A mediation analysis with the data of the REIN registry

Background: Social deprivation could act as a barrier to peritoneal dialysis (PD). The objective of this study was to assess the association between social deprivation estimated by the European deprivation index (EDI) and PD uptake and to explore the potential mediators of this association. Methods: From the Renal Epidemiology and Information Network registry, patients who started dialysis in 2017 were included. The EDI was calculated based on the patient’s address. The event of interest was the proportion of PD 3 months after dialysis initiation. A mediation analysis with a counterfactual approach was carried out to evaluate the direct and indirect effect of the EDI on the proportion of PD. Results: Among the 9588 patients included, 1116 patients were on PD; 2894 (30.2%) patients belonged to the most deprived quintile (Q5). PD was associated with age >70 years (odds ratio (OR) 0.79 [95% confidence interval (CI): 0.69–0.91]), male gender (0.85 [95% CI: 0.74–0.97]), cardiovascular disease (OR 0.86 [95% CI: 0.86–1.00]), chronic heart failure (OR 1.34 [95% CI: 1.13–1.58]), active cancer (OR 0.67 [95% CI: 0.53–0.85]) and obesity (OR 0.75 [95% CI: 0.63–0.89]). In the mediation analysis, Q5 had a direct effect on PD proportion OR 0.84 [95% CI: 0.73–0.96]. The effect of Q5 on the proportion of PD was mediated by haemoglobin level at dialysis initiation (OR 0.96 [95% CI: 0.94–0.98]) and emergency start (OR 0.98 [95% CI: 0.96–0.99]). Conclusion: Social deprivation, estimated by the EDI, was associated with a lower PD uptake. The effect of social deprivation was mediated by haemoglobin level, a proxy of predialysis care and emergency start.

Symptomatic SARS-CoV2 infections in patients treated in France by hemodialysis in an establishment, or at home or by peritoneal dialysis: Data from the REIN and RDPLF registry

In France all patients treated with dialysis are registered in the REIN registry (Epidemiology and Information Network in Nephrology) ; in addition the RDPLF (French Language Peritoneal Dialysis Registry) monitors patients treated at home in French-speaking regions and countries. Asymptomatic patients with a positive SARS-CoV2 test were excluded : the study focused only on patients with symptomatic COVID-19 disease. Data from REIN and RDPLF were used. In total, 3,541 patients were declared symptomatic with COVID-19. The proportion of patients with symptomatic SAR-coV2 infection was 4.9% in patients treated at home by peritoneal dialysis or hemodialysis and 8.0% in those treated in a dialysis unit. After adjustment for age and comorbidities, being treated at home was associated with a higher risk of mortality. In conclusion, home treatments could represent a solution for preventing the risk of contamination during the circulation of the virus. On the other hand, the risk of mortality in symptomatic patients at home could be linked to a delay in treatment: rigorous remote organization must be implemented so as not to delay the treatment of patients in the event of infection.

P1432THE PRE-DIALYSIS CARE TRAJECTORIES OF ESRD PATIENTS: WHAT TYPES AND WHAT FACTORS OF EMERGENCY DIALYSIS START?

Background and Aims According to the REIN registry, in France in 2017, 30% of incident end-stage renal disease (ESRD) patients started dialysis in emergency. Emergency dialysis start (ES) is associated with higher risks of morbidity and mortality as well as a decreased quality of life for patients. The objectives were to describe groups of patients with similar care trajectories (or “types”) and identify the factors associated with ES. Method Data from the French REIN registry linked with the French national health insurance database (SNDS) were used. Patients aged 18 years old and older who started dialysis in 2015 in France were included. The 2 years pre-dialysis care trajectory was defined using 8 key components of ambulatory and hospital CKD care consumption. Multiple Correspondence Analysis (MCA) on these components was performed before a Hierarchical Clustering on Principal Components (HCPC) in order to identify types of care trajectories. Logistic regression models including both patients’ characteristics and the key CKD healthcare consumption were used to identify factors associated with ES. Results Among the 8856 patients included, 2681 (30.3%) started dialysis in emergency. The HCPC identified 6 types of pre-dialysis care trajectories. ES rate ranged from 11% to 62% depending on the type. Patient’s profiles were also different between types of trajectories, including age and comorbidities (diabetes prevalence ranged from 22% to 56%). For example, the 5th and 6th types of pre-dialysis care trajectories with high ES rates were characterized by low and absent CKD healthcare consumption respectively. They were shared by younger and less comorbid patients (26.7% and 25.7% aged < 45 years old, 66.5% and 59.4% without any cardiovascular diseases respectively). Conversely to the absence of nephrologist follow-up, the absence of general practitioner follow-up was not significantly associated with ES (OR=1.83, CI 95% [1.58-2.13] and OR=0.79, CI 95% [0.61-1.04] respectively). Conclusion Exploiting the strength of the combined use of clinical and healthcare consumption data, our study shows the diversity of pre-dialysis care trajectories of CKD patients. While some of these types of trajectories can be explained by patients’ clinical and demographic characteristics, complementary qualitative approaches are required to fully understand ES. Some types, as well as ES associated factors, highlight the need for earlier CKD screening and nephrologist referral.