Faculty Bibliography

Sleep disorders have a profound and well-documented impact on overall health and quality of life in the general population. In patients with chronic disease, sleep disorders are more prevalent, with an additional morbidity and mortality burden. The complex and dynamic relationship between sleep disorders and chronic kidney disease (CKD) remain relatively little investigated. This article presents an overview of sleep disorders in patients with CKD, with emphasis on relevant pathophysiologic underpinnings and clinical presentations. Evidence-based interventions will be discussed, in the context of individual sleep disorders, namely sleep apnea, insomnia, restless leg syndrome and excessive daytime sleepiness. Limitations of the current knowledge as well as future research directions will be highlighted, with a final discussion of different conceptual frameworks of the relationship between sleep disorders and CKD.

Including target populations in the design and implementation of research trials has been one response to the growing health disparities endemic to our health care system, as well as an aid to study generalizability. One type of community-based participatory research is "Patient Centered-Research", in which patient perspectives on the germane research questions and methodologies are incorporated into the study. The Patient-Centered Outcomes Research Institute (PCORI) has mandated that meaningful patient and stakeholder engagement be incorporated into all applications. As of March 2015, PCORI funded seven clinically-focused studies of patients with kidney disease. The goal of this paper is to synthesize the experiences of these studies to gain an understanding of how meaningful patient and stakeholder engagement can occur in clinical research of kidney diseases, and what the key barriers are to its implementation. Our collective experience suggests that successful implementation of a patient- and stakeholder-engaged research paradigm involves: (1) defining the roles and process for the incorporation of input; (2) identifying the particular patients and other stakeholders; (3) engaging patients and other stakeholders so they appreciate the value of their own participation and have personal investment in the research process; and (4) overcoming barriers and challenges that arise and threaten the productivity of the collaboration. It is our hope that the experiences of these studies will further interest and capacity for incorporating patient and stakeholder perspectives in research of kidney diseases.

BACKGROUND: Poor sleep health is a major health disparity and public health concern. The primary goal of this study was to accurately obtain the rates of self-reported sleep disorders, sleep dysfunction, and daytime sleepiness in a true community sample of black adults. METHODS: We used a community-based participatory research design to identify a health priority to design a study that could (a) provide an accurate assessment of the problem, (b) help to better understand the barriers to treatment, and (c) provide the community with access to care. Subsequently, 470 black adults, approached at salons, barber shops, and churches throughout Brooklyn participated. They underwent anthropometric measurement and completed a self-reported sleep assessment. RESULTS: Sleep disorders (insomnia, obstructive sleep apnea) were found in 34% of the sample, and 75% of the population that had a sleep disorder was unaware of it. Fourteen percent of the sample self-identified as having obstructive sleep apnea, 38.0% reported having Insomnia, and 38% reported having excessive daytime somnolence. People with a sleep disorder described less satisfaction with their sleep quality and poorer health than did those without a sleep disorder. CONCLUSION: The variability in the reported rates of sleep disorders in black samples suggests that the true rates of these conditions are not well-known. However, the large number of black individuals who have sleep disturbances warrants increased scientific and public health attention. In addition, with increased community involvement in research, there can be increased buy-in and greater accuracy in the assessments and reduced barriers to treatment.

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:Uremia has long been associated with cognitive deficits. This study explored the importance of the time of measurement of neurocognitive functioning, by directly comparing changes in neurocognitive functioning from immediately after hemodialysis treatment to immediately before treatment. METHODS:Twenty-five hemodynamically stable hemodialysis patients and 6 peritoneal dialysis controls completed 2 computer-based assessment batteries (ANAM), one immediately before dialysis and the second upon completion of that dialysis session. Paired sample t-tests were used to compare postdialysis with predialysis neurocognitive functioning scores for both a composite measure of global functioning and the neurocognitive subtests. RESULTS:There was significant improvement in global neuropsychological functioning from predialysis to postdialysis (t (24) = -7.5, p<0.001), showing an average of 18% improvement in the hemodialysis group, with no significant change in the peritoneal dialysis group. CONCLUSION/CONCLUSIONS:This study suggests that computer-based testing can offer information on the cognitive fluctuations of medically complex populations and suggests that the end of the session may be a better time to discuss important and complex health messages with hemodialysis patients. It further implies that some of the neurocognitive impairment that is associated with end-stage renal disease is a consequence of uremia and is improved by hemodialysis.

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.

BACKGROUND:The incidence and prevalence of Chronic Kidney Disease (CKD) is growing rapidly. Understanding the factors associated with declining renal function is of clinical significance. The current study's main goal was to identify variables that could predict decline in glomerular filtration rate (GFR) over time in outpatients with varying stages of CKD. METHODS:Seventy CKD patients completed psychological questionnaires and medical variables were extracted from the medical charts. Follow-up GFR was collected 6 months later. CKD patients with elevated depression scores were compared to patients with subclinical depression on medical and psychological variables. RESULTS:Average Beck Depression Inventory (BDI) score was 10.0 ± 7.8, placing the mean below the cut-off for clinical elevation. GFR was significantly different for the two groups (nondepressed, 40.0 ± 11.3 vs. depressed 29.6 ± 8.9; p < 0.05). Similarly, patients with elevated depression scores reported lower quality of life (Short Form 36 Health Survey; p < 0.05) inferior social support (Interpersonal Support Evaluation List; p < 0.05), and worse community integration (Community Integration Questionnaire; p < 0.05). Utilizing a regression, with a model correcting for baseline GFR, the BDI explained 19% of the variance in GFR score (t = -2.0, p < 0.05) for subjects with decreased GFR. CONCLUSIONS:Increased levels of preexisting depression were associated with inferior quality of life, social support and kidney functioning. Depression scores explained a significant amount of variance in GFR scores at 6 months even when corrected for baseline variability. Elevated depression scores are prevalent in CKD populations and further research on the impact of depression interventions is warranted.

The scientific evaluation of depression's impact on mortality in hemodialysis (HD) patients has yielded mixed results, with the more recent, more rigorous studies detecting a significant relationship. 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. In a corrected Cox regression model, which 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% confidence interval = 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 (β = 0.452, P = 0.044). In a subgroup of 85 subjects, self-reported medication adherence was also predictive of mortality, with higher rates of nonadherence being associated with increased mortality risk. 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.