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

The mediating effect of personal mastery and perceived social support between emotional intelligence and social alienation among patients receiving peritoneal dialysis

Aim

This study aims to assess the extent of social alienation in patients undergoing peritoneal dialysis and examine how personal mastery and perceived social support mediate the association between emotional intelligence and social alienation in this patient population.

Methods

This study adopts a cross-sectional survey design. A total of 192 patients were recruited from a tertiary hospital located in Henan Province, China, using a convenience sampling method. We have developed a structural equation model to investigate the mediating influence of personal mastery and perceived social support on the emotional intelligence and social alienation of patients undergoing Peritoneal dialysis.

Results

Peritoneal patients exhibited an social alienation score of 42.01 ± 3.15. Elevated EI levels (coefficient = -0.616, p < 0.001) were significantly correlated with reduced social alienation. The mediation model demonstrated that personal mastery and perceived social support fully mediated the impact of emotional intelligence on social alienation.

Conclusion

The social alienation of peritoneal dialysis patients is serious, and healthcare professionals should pay attention to patients' social alienation, improve patients' emotional intelligence through relevant interventions, increase personal mastery and perceived social support, and finally reduce social alienation.

Is social deprivation associated with the peritoneal dialysis outcomes? A cohort study with REIN registry data

BACKGROUND

Social deprivation is associated with lower peritoneal dialysis (PD) uptake. This study was carried out to evaluate the role of social deprivation on the outcome of PD.

METHODS

This was a retrospective study of data extracted from the Renal Epidemiology and Information Network registry for patients older than 18 years who started PD in metropolitan France between 1 January 2017 and 30 June 2018. The end of the observation period was 31 December 2020. The exposure was the European Deprivation Index calculated using the patient's address. The events of interest were death, transfer to haemodialysis (HD), transplantation and the composite event of death or transfer to HD. A Cox model and Fine and Gray model were used for the analysis.

RESULTS

A total of 1581 patients were included, of whom 418 (26.5%) belonged to Quintile 5 of the European Deprivation Index (the most deprived patients). In the Cox model, the most deprived subjects did not have a greater risk of death (cause-specific hazard ratio (cs-HR): 0.76 [95% confidence interval (CI): 0.53-1.10], transfer to HD (cs-HR 1.37 [95% CI: 0.95-1.98]) or the composite event of death or transfer to HD (cs-HR: 1.08 [95% CI: 0.84-1.38]) or a lower risk of kidney transplantation (cs-HR: 0.73 [95% CI: 0.48-1.10]). In the competing risk analysis, the most deprived subjects had a higher risk of transfer to HD (subdistribution hazard ratio (sd-HR): 1.54 [95% CI: 1.08-2.19]) and lower access to kidney transplantation (sd-HR: 0.68 [0.46-0.99]).

CONCLUSION

In PD patients, social deprivation was not associated with death or the composite event of death or transfer to HD. Socially deprived individuals had a greater risk of transfer to HD and lower access to kidney transplantation in the competing risk analysis.

What are the factors that determine treatment choices in patients with kidney failure: a retrospective cohort study using data linkage of routinely collected data in Wales

OBJECTIVES

To identify the factors that determine treatment choices following pre-dialysis education.

DESIGN

Retrospective cohort study using data linkage with univariate and multivariate analyses using linked data.

SETTING

Secondary care National Health Service Wales healthcare system.

PARTICIPANTS

All people in Wales over 18 years diagnosed with established kidney disease, who received pre-dialysis education between 1 January 2016 and 12 December 2018.

MAIN OUTCOME MEASURES

Patient choice of dialysis modality and any kidney replacement therapy started.

RESULTS

Mean age was 67 years; n=1207 (60%) were male, n=878 (53%) had ≥3 comorbidities, n=805 (66%) had mobility problems, n=700 (57%) had pain symptoms, n=641 (52%) had anxiety or were depressed, n=1052 (61.6%) lived less than 30 min from their treatment centre, n=619 (50%) were on a spectrum of frail to extremely vulnerable. n=424 (25%) chose home dialysis, n=552 (32%) chose hospital-based dialysis, n=109 (6%) chose transplantation, n=231 (14%) chose maximum conservative management and n=391 (23%) were 'undecided'. Main reasons for not choosing home dialysis were lack of motivation/low confidence in capacity to self-administer treatment, lack of home support and unsuitable housing. Patients who choose home dialysis were younger, had lower comorbidities, lower frailty and higher quality of life scores. Multivariate analysis found that age and frailty were predictors of choice, but we did not find any other demographic associations. Of patients who initially chose home dialysis, only n=150 (54%) started on home dialysis.

CONCLUSION

There is room for improvement in current pre-dialysis treatment pathways. Many patients remain undecided about dialysis choice, and others who may have chosen home dialysis are still likely to start on unit haemodialysis.

Sex disparities in the utilization of nurse-assisted peritoneal dialysis: a mediation analysis using data from the REIN registry

Background

This study was carried out to evaluate the association between patient sex and the proportion of nurse-assisted peritoneal dialysis (PD) at dialysis initiation and to explore whether sex disparities in nurse-assisted PD utilization was explained by predialysis care and/or by social deprivation using mediation analysis.

Methods

This was a retrospective study using data from the Renal Epidemiology and Information Network (REIN) registry linked to the French National Healthcare Database (SNDS) of incident patients between 1 January 2017 and 30 June 2018. A regression logistic was used for statistical analysis. A mediation analysis explored the direct effect of sex on nurse-assisted PD proportion and the indirect effect through the European Deprivation Index (EDI), and the number of general practitioner (GP) and nephrologist visits before dialysis initiation.

Results

Among 1706 patients on PD, there were 637 women (37.3%) and 1069 men (62.7%). Nurse-assisted PD proportion was 332/610 (54.4%) for women vs 464/1036 (44.8%) for men. In the multivariable analysis women were more likely to be treated by nurse-assisted PD {odds ratio (OR) 1.92 [95% confidence interval (CI) 1.46-2.52]}. Nurse-assisted PD was associated with the median number of GP visits [OR 1.44 (95% CI 1.11-1.86)] and with the median number of nephrologist visits [OR 0.59 (95% CI 0.46-0.76)]. The mediation analysis showed a direct effect of sex on nurse-assisted PD [OR 1.90 (95% CI 1.80-2.01)] and an indirect effect through the median number of GP visits [OR 1.05 (95% CI 1.04-1.06], the median number of nephrologist visits [OR 1.02 (95% CI 1.02-1.03)] and quintile 5 of the EDI [OR 1.03 (95% CI 1.02-1.03)].

Conclusion

Women were more frequently treated by nurse-assisted PD than men. Differences between women and men in predialysis care and social deprivation could explain the greater utilization of nurse-assisted PD among women.

Twenty years of the French Renal Epidemiology and Information Network

Background

The French Renal Epidemiology and Information Network (REIN) is 20 years old. It is not just a national data registry, but rather an epidemiological and informational network serving patients with chronic kidney disease, nephrology teams and health services.

Methods

The past 10-year trends of the incidence and prevalence of renal replacement therapy by dialysis or kidney transplantation and waitlist activity are presented. To detect potential significant changes in trends from 2012 and 2021, a Joinpoint regression model was used.

Results

The overall incidence of treated end-stage kidney disease (ESKD) was 169 per million population (pmp) in 2021. It was stable despite an increase in the incidence of diabetes. We found a decreasing trend in the proportion of patients starting dialysis in an emergency but an increase in those starting haemodialysis (HD) with a temporary catheter. Peritoneal dialysis decreased by 1.7% each year, whereas home HD, although involving only 1% of dialysis patients, increased by 10% each year. For patients not treated at home, the median time to drive from the patient's home to the dialysis unit was 17 min. The proportion of patients on the transplantation waitlist at the start of dialysis increased from 7% to 12%. Among the 111 263 new ESKD patients from 2012 to 2021, 8% received a first transplant at 1 year and 20% at 5 years. Among kidney transplant recipients, the mean time on the waitlist increased from 13.8 to 22.6 months. Living donor transplants increased in frequency, representing 15% of kidney transplants.

Conclusions

Data from the REIN registry allow for the evaluation of needs and provide a planning tool for French authorities. The progressive implementation of automatic data retrieval from dialysis informatics charts might alleviate the burden of data collection. Furthermore, the research activity the REIN engenders, resulting in renewed confidence by health authorities in the dynamism of French nephrology, allows for an optimistic outlook for the REIN.

Social deprivation and kidney failure due to an undiagnosed nephropathy

BACKGROUND

In France, kidney diseases of undetermined origin account for 5%-20% of all causes of end-stage kidney disease. We investigated the impact of social disadvantage on the lack of aetiological diagnosis of nephropathies.

METHODS

Data from patients who started dialysis in France between 1 January 2017 and 30 June 2018 were extracted from the French Renal Epidemiology and Information Network registry. The social deprivation of each individual was estimated by the European Deprivation Index (EDI) defined by the patient's address. Logistic regression was used to perform mediation analysis to study the potential association between social deprivation and unknown nephropathy.

RESULTS

Of the 7218 patients included, 1263 (17.5%) had unknown kidney disease. A total of 394 (31.4%) patients in the unknown kidney disease belonged to the most deprived quintile of the EDI [fifth quintile (Q5)], vs 1636 (27.5%) patients in the known kidney disease group. In the multivariate analysis, unknown kidney disease was associated with Q5 (odds ratio 1.40, 95% confidence interval 1.12-1.74, P = .003). Mediation analysis did not identify any variables (e.g. obesity, initiation of dialysis in emergency, number of visits to the general practitioner and nephrologist before initiation of dialysis, date of first nephrology consultation) that mediated the association between social deprivation and nephropathy of unknown origin.

CONCLUSIONS

Our results show that, compared with nondeprived subjects, individuals experiencing social deprivation have a higher risk of unknown nephropathy at dialysis initiation. However, mediation analysis did not identify any variables that explained the association between social deprivation and nephropathy of unknown origin.

Functional representation of the network organisation of dialysis activities in France: A novel level for assessing quality of care

To assess quality of care, groups of care units that cared for the same patients at various stages of end-stage renal disease, might be more appropriate than the centre level. These groups constitute "communities" that need to be delineated to evaluate their practices and outcomes. In this article, we describe the use of an agglomerative (Fast Greedy) and a divisive (Edge Betweenness) method to describe dialysis activities in France. The validation was based on the opinion of the field actors at the regional level of the REIN registry. At the end of 2018, ESRD care in France took place in 1,166 dialysis units. During 2016-2018, 32 965 transfers occurred between dialysis units. With the Edge Betweenness method, the 1,114 French dialysis units in metropolitan France were classified into 156 networks and with the Fast Greedy algorithm, 167 networks. Among the 32 965 transfers, 23 168 (70%) were defined in the same cluster by the Edge Betweenness algorithm and 26 016 (79%) in the same cluster by the Fast Greedy method. According to the Fast Greedy method, during the study period, 95% of patients received treatment in only one network. According to the opinion of the actors in the field, the Fast Greedy algorithm seemed to be the best method in the context of dialysis activity modelling. The Edge Betweenness classification was not retained because it seemed too sensitive to the volume of links between dialysis units.