Patients with ESRD have high rates of depression, which is associated with diminished quality of life and survival. We determined whether individual cognitive behavioral therapy (CBT) reduces depression in hemodialysis patients with elevated depressive affect in a randomized crossover trial. Of 65 participants enrolled from two dialysis centers in New York, 59 completed the study and were assigned to the treatment-first group (n=33) or the wait-list control group (n=26). In the intervention phase, CBT was administered chairside during dialysis treatments for 3 months; participants were assessed 3 and 6 months after randomization. Compared with the wait-list group, the treatment-first group achieved significantly larger reductions in Beck Depression Inventory II (self-reported, P=0.03) and Hamilton Depression Rating Scale (clinician-reported, P,0.001) scores after intervention. Mean scores for the treatment-first group did not change significantly at the 3-month follow-up. Among participants with depression diagnosed at baseline, 89% in the treatment-first group were not depressed at the end of treatment compared with 38% in the wait-list group (Fisher's exact test, P=0.01). Furthermore, the treatment-first group experienced greater improvements in quality of life, assessed with the Kidney Disease Quality of Life Short Form (P=0.04), and interdialytic weight gain (P=0.002) than the wait-list group, although no effect on compliance was evident at follow-up. In summary, CBT led to significant improvements in depression, quality of life, and prescription compliance in this trial, and studies should be undertaken to assess the long-term effects of CBT on morbidity and mortality in patients with ESRD.
Background
The scientific evaluation of depression's impact on mortality in HD patients has yielded mixed results, with the more recent, more rigorous studies detecting a significant relationship.
Method
In this study 130 HD patients from an urban North American hospital were evaluated for depressive affect and then observed for up to 5 years.
Results
In a corrected Cox regression model, that held constant age, gender, dialysis vintage, illness severity and diabetic status, depressive affect emerged as a modest but significant predictor of mortality (relative risk = 1.05, 95% CI 1.01 – 1.08). When the subjects were divided according to depressive affect severity, those with severe depressive affect had significantly shorter time to death (beta = .452, p = .044). In a sub-group of 85 subjects, self-reported medication adherence was also predictive of mortality, with higher rates of non-adherence being associated with increased mortality risk.
Conclusion
This paper lends support to the burgeoning literature on depression and reduced survival in HD populations, as well as begins the investigation of understanding the underlying mechanisms.
End-stage renal disease is growing in prevalence and incidence. With technical advancements, patients are living longer on hemodialysis. Depression is the most prevalent comorbid psychiatric condition, estimated at about 25% of end-stage renal disease samples. The identification and assessment of depression are confounded by the overlap between depression symptomatology and uremia. Several recent studies have employed time-varying models and identified a significant association between depression and mortality. Due to the high prevalence of depression and the potential impact on survival, well-constructed investigations are warranted.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.