We underscore the importance of frailty as a prognostic indicator and identify other recently established consequences of frailty. Widespread adoption of frailty assessment remains limited and researchers continue to find ways of simplifying the data collection process. Timely and regular assessment of frailty may allow for interventions that can mitigate the onset of poor outcomes and identify actionable targets for dialysis providers.

Introduction: Frailty and depression are highly prevalent in the dialysis population, but the association between them, the risk factors for their development, and their independent associations with mortality have not been studied. Methods: We examined 771 patients enrolled in the ACTIVE/ADIPOSE prevalent dialysis cohort study. Fried’s frailty phenotype and the Center for Epidemiologic Studies Depression score were used to determine frailty and presence of depressive symptoms, respectively. We assessed the baseline association between frailty and depressive symptoms, whether one entity is a risk factor for development of the other, and associations between frailty and depressive symptoms with mortality. Findings: At baseline, 13.1% of our population screened positive for depressive symptoms, 21.8% met criteria for frailty, and 10.0% met criteria for both. During follow-up, 26.6% of our population developed frailty and 12.7% developed depressive symptoms. Using multivariable logistic regression, baseline depressive symptoms were associated with 2.14-fold higher odds of being frail at baseline (95% confidence interval [CI] 1.45–3.17) and with a 2.16-fold higher odds of incident frailty during follow-up (95% CI 1.22–3.82). However, baseline frailty was not associated with incident depressive symptoms. Frailty and depressive symptoms were independent predictors of mortality in time-varying survival analysis (meeting frailty criteria: hazard ratio [HR] 1.53, 95% CI 1.05–2.23; depressive symptoms: HR 2.21,95% CI 1.50–3.25). Discussion: Frailty and depressive symptoms remained highly prevalent over time and were strongly associated with one another and independently associated with mortality among dialysis patients. Future studies should investigate whether interventions for depression could potentially mitigate the appearance of frailty and its associated poor outcomes.

Background: High ultrafiltration rate (UFR) has been associated with increased mortality in hemodialysis (HD) patients. However, the impact of UFR on decline of residual kidney function (RKF) has not been elucidated among patients receiving conventional HD. Methods: We performed a retrospective cohort study of 7,753 patients who initiated conventional HD from 2007 to 2011 and survived the first year of dialysis with baseline UFR and renal urea clearance (KRU) data at baseline and 1 year (5th patient-quarter). The primary exposure was average UFR at the 1st patient-quarter from dialysis initiation (<4, 4 to <6, 6 to <9, 9 to <13, and ≥13 mL/h/kg). Decline in RKF was defined as the percent change in KRU and decline in urine output during the first year after initiation of dialysis. We used a logistic regression model for rapid decline in RKF and a linear regression model for change in urine volume. Results: In our HD cohort, mean baseline UFR was 7.0 ± 3.1 mL/h/kg, and median (interquartile range) baseline KRU was 3.5 (2.1–5.3) mL/min/1.73 m2. There was a graded association between UFR and a rapid decline in RKF; the expanded case mix-adjusted ORs and 95% CIs were 1.21 (1.04–1.40), 1.34 (1.16–1.55), 1.73 (1.46–2.04), and 1.93 (1.48–2.52) for baseline UFR 4 to <6, 6 to <9, 9 to <13, and ≥13  mL/h/kg, respectively (reference: <4 mL/h/kg). KRU trajectories showed a greater KRU decline over time in higher UFR categories. Higher UFR was also associated with a greater decline in urine output after 1 year. Conclusion: Higher UFR was associated with a rapid decline in RKF among conventional HD patients. Further clinical trials are needed to elucidate a causal effect of UFR on RKF among HD patients.

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