A lack of data on patient choices and outcomes at the time of pre-dialysis planning limits meaningful shared decision making, particularly in older frailer patients. In this large retrospective cohort study of patients aged over 70 seen by the pre-dialysis clinic (2004-2016) of a large single centre in the United Kingdom (1,216 patients), age, sex, comorbidity, poverty and frailty were used to predict choice of renal replacement therapy (RRT) over maximum conservative management (MCM). The impact of patient choice of RRT versus MCM was used to predict survival from the time of choice using multivariable Cox proportional hazards regression. Older age, female sex, greater poverty and greater frailty were associated with choosing MCM, whilst comorbidity had no significant impact on choice. At 5 years of follow up, 49% of all patients had died without receiving RRT. Over 70% of the patients choosing MCM died with better kidney function than the median level at which those starting RRT initiated treatment. Frailty and age were better predictors of survival than comorbidity and in patients with at least moderate frailty, RRT offered no survival benefit over MCM. In conclusion, analysing outcomes from the time of choice may improve shared decision making. Frailty should be routinely assessed and collected and further work may help predict which patients are unlikely to survive or progress to end stage renal disease and may not need to be burdened with making a pre-dialysis choice.
Kidney Diseases/psychology , Patient Selection/ethics , Renal Replacement Therapy/ethics , Aged , Aged, 80 and over , Cohort Studies , Comorbidity , Conservative Treatment , Female , Humans , Kidney/pathology , Kidney Failure, Chronic/therapy , Male , Renal Dialysis/methods , Renal Replacement Therapy/mortality , Retrospective Studies , United Kingdom
BACKGROUND: The incidence of chronic kidney disease (CKD) is rising and is likely to continue to do so for the foreseeable future, with the fastest growth seen among adults ≥75 years of age. Elderly patients with advanced CKD are likely to have a higher burden of comorbidity and frailty, both of which may influence their disease outcome. For these patients, treatment decisions can be complex, with the current lack of robust prognostic tools hindering the shared decision-making process. The current study aims to assess the impact of comorbidity and frailty on the outcomes of patients referred for pre-dialysis education. METHODS: We performed a single-centre study of patients (n = 283) referred for pre-dialysis education between 2010 and 2012. The Charlson Comorbidity Index (CCI) and Clinical Frailty Scale (CFS) were used to assess comorbid disease burden and frailty, respectively. Follow-up data were collected until February 2015. RESULTS: The CCI and CFS scores at the time of referral to the pre-dialysis service were independent predictors of mortality. Within the study follow-up period, 76% of patients with a high CFS score at the time of pre-dialysis education had died, with 63% of these patients not commencing dialysis before death. CONCLUSION: A relatively simple frailty scale and comorbidity score could be used to predict survival and better inform the shared decision-making process for patients with advanced kidney disease.
