Development of a risk stratification algorithm to improve patient-centered care and decision making for incident elderly patients with end-stage renal disease.

A significant number of elderly patients die during their first 3 months of dialysis. Because dialysis can impair the quality of both life and death, a personalized care plan based on both early prognosis and patient choices is required. We developed a prognostic screening tool to identify older patients in need of specific care based on a multidisciplinary approach. Our study included 24,348 patients aged 75 years and older from the French national renal epidemiology and information network (REIN) registry who began dialysis between 1 January 2005 and 30 September 2012. Our primary outcome was overall mortality during the first 3 months of renal replacement therapy. Multivariate logistic regression was used to construct a scoring system in a random half of the cohort (training set). This score, which included age, gender, specific comorbidities, albumin levels, and mobility, was then applied to the other half (validation set). In all, 2548 patients died during the first 3 months after dialysis initiation, 22% after dialysis withdrawal. Three risk groups were identified: low risk (score under 12 points, 3-month expected mortality under 20%), intermediate risk (score from 12 to 16, mortality between 20 and 40%, 9.5% of patients) and high risk (score 17 or more, mortality over 40%, 2.5% of patients). We developed a decision-making process that classifies patients according to their risk of early death in view of their potentially imminent need for supportive care or treatment.

A multinational cohort study of in-center daily hemodialysis and patient survival.

Increasing hemodialysis frequency from three to six times per week improves left-ventricular mass and health-related quality of life; however, effects on survival remain uncertain. To study this, we identified 556 patients in the International Quotidian Dialysis Registry who received daily hemodialysis (more than five times per week) between 2001 and 2010. Using propensity score-based matching, we matched 318 of these patients to 575 contemporaneous patients receiving conventional (three times weekly) hemodialysis in the Dialysis Outcomes and Practice Patterns Study. All patients had session times of <5 h, and received dialysis in the clinic or hospital setting. Mortality rates between groups were compared using Cox proportional hazards regression. Mean dialysis frequency in the daily group was 5.8 sessions per week. Mean weekly treatment time was 15.7 h for daily and 11.9 h for conventional patients. During 1382 patient-years of follow-up, 170 patients died. Those receiving daily hemodialysis had a significantly higher mortality rate than those receiving conventional hemodialysis (15.6 and 10.9 deaths per 100 patient-years, respectively: hazard ratio 1.6). Similar results were found in prespecified subgroup and sensitivity analyses. Unlike previous studies, we found that in-center daily hemodialysis was not associated with any mortality benefit. Thus, decisions to undertake daily hemodialysis should be based on quality-of-life improvements, rather than on claims of improved survival.

Measuring senescence rates of patients with end-stage renal disease while accounting for population heterogeneity: an analysis of data from the ERA-EDTA Registry.

PURPOSE: Although a population's senescence rate is classically measured as the increase in mortality rate with age on a logarithmic scale, it may be more accurately measured as the increase on a linear scale. Patients on dialysis, who suffer from accelerated senescence, exhibit a smaller increase in their mortality rate on a logarithmic scale, but a larger increase on a linear scale than patients with a functioning kidney transplant. However, this comparison may be biased by population heterogeneity. METHODS: Follow-up data on 323,308 patients on dialysis and 91,679 patients with a functioning kidney transplant were derived from the ERA-EDTA Registry. We measured the increases in their mortality rates using Gompertz frailty models that allow individual variation in this increase. RESULTS: According to these models, the senescence rate measured as the increase in mortality rate on a logarithmic scale was smaller in patients on dialysis, while the senescence rate measured as the increase on a linear scale was larger in patients on dialysis than patients with a functioning kidney transplant. CONCLUSIONS: Also when accounting for population heterogeneity, a population's senescence rate is more accurately measured as the increase in mortality rate on a linear scale than a logarithmic scale.