Cognitive impairment (CI) is a prevalent problem in persons with HF heart failure (HF) and is associated with adverse clinical outcomes, higher mortality and poorer quality of life. Studies designed to attenuate or alleviate CI in persons with HF are limited, and evidenced based guidelines for screening and provision of care are practically nonexistent. Improvement in cognition has been reported following some therapies in HF and is thought to be the consequence of enhanced cerebral perfusion and oxygenation, suggesting that CI may be amenable to intervention in this population. Exercise is documented to increase cerebral perfusion and oxygenation by promoting neuroplasticity and neurogenesis, and, in turn, cognitive functioning. Brain derived neurotrophic factor (BDNF) is a key mechanism underlying the effect of exercise, but most studies of BDNF have not included individuals with CI or chronic illness populations, and its relationship to cognitive outcomes in HF is unknown. Cognitive retraining techniques, originally developed to treat traumatic brain injury, have also shown efficacy in broader neurologically-affected conditions and may provide added benefit to that of exercise. Animal studies suggest exercise and plasticity-based cognitive training could act synergistically through different neural mechanisms to have a more pronounced and positive impact on cognitive outcomes than either approach alone; but this has not been previously tested as an intervention to improve CI. The proposed feasibility study is designed to test the acceptability and limited efficacy of a combined exercise (Ex) and cognitive training (CT) program to improve CI in stable NYHA class II and III HF patients compared to either exercise alone or a no-intervention, attention-control group. Findings will be used to support the development of a future, large scale study to test the efficacy of this intervention to improve cognitive functioning, quality of life, and physiological markers of improved brain function in HF. In addition, we have an optional sub-study that participants may participate in order to further our understanding of biomarkers of inflammation and gen e expression before and after exercise.
Persons with heart failure (HF) have a four-fold greater likelihood of developing cognitive impairment (CI) than their age matched healthy counterparts, placing them at high risk for adverse clinical outcomes, poorer quality of life (QOL) and higher mortality. CI is a subtle but measurable deficit in one or multiple cognitive domains; it is a deficit greater than cognitive losses associated with normal aging. The few studies that have documented CI in HF are inconsistent. Few have used standard neuropsychological testing, and little is known about change in cognitive function over time in HF. Further, if CI is detected, there are currently no effective or evidenced-based guidelines to help restore or improve cognition in this population.Despite the aging population and projected rise of CI in HF, only 2 small intervention studies have been documented, indicating a critical need for further research in this area. The etiology of CI in HF is not fully understood, but several underlying mechanisms are consistently reported: reduced cerebral perfusion and oxygenation, brain structural changes (i.e., hippocampal damage, atrophy, loss of gray matter), and micro emboli.Clinical studies have shown that CI is improved after cardiac transplantation and is modifiable with standard therapies that improve cardiac output, oxygenation, fluid overload, and systemic and cerebral perfusion; these findings are inconsistent and anecdotal. The ability to positively influence cognitive function has important implications for patient adherence to a complex self-care regimen and the development of interventions that may partially reverse CI. Exercise improves clinical outcomes in HF by altering the deleterious peripheral and central mechanisms that contribute to HF exacerbations, worsen symptom severity, and lead to poor clinical outcomes. Less is known about the effect of exercise on cognitive function. Animal research has provided the most compelling evidence that exercise positively affects neuronal growth and the neural systems involved in learning and memory. Similar human findings have emerged; recent advances in neuroimaging support that participation in regular exercise leads to specific changes in brain structure and function. Exercise is also thought to enhance brain plasticity. BDNF appears to play a crucial role in this process: when BDNF levels increase following exercise, cognitive function improves. The association between exercise, BDNF and cognitive function has not been previously reported in HF. This feasibility study will clarify these important relationships and increase the potential for improving clinical outcomes in a future trial. Neurogenesis and neuroplasticity are means for the brain to recover from poor perfusion and oxygen deprivation such as that occurring in HF. Animal studies again provide the strongest evidence to date for using cognitive training (CT) to promote better cognitive functioning and provide a rationale for why a combined exercise and CT approach may be superior to monotherapy. Animal studies show that, like exercise, learning tasks and performing cognitively stimulating activities also increase BDNF levels and improve learning and memory. The effect of BDNF on brain function due to exercise however, is thought to be different from that occurring with CT. Exercise increases the proliferation and division of neuronal cells through BDNF, whereas CT appears to promote cell survival,suggesting a synergistic relationship may exist with greater benefit obtained when both are used together. The combination of exercise and plasticity-based CT has not been previously tested in HF or in other populations as an intervention for improving cognitive outcomes, but may be most optimal for targeting the underlying mechanisms for CI in HF. The proposed feasibility study is designed to test the acceptability, implementation and limited efficacy of a combined exercise (Ex) and cognitive training (CT) intervention in stable NYHA class II and III heart failure patients with cognitive impairment. A total of 60 participants will be randomized to one of three study arms: Ex/CT (N=20), Ex-alone (N=20), and attention control (N=20). The study aims are: Aim 1: To evaluate the feasibility of a 3-arm intervention (ExCT, Ex, AC) in heart failure patients with CI. Aim 1a. To test the acceptability and implementation of each study arm. Aim 2: To ascertain limited efficacy of the 3-arm intervention on changes in cognitive abilities Aim 3: To ascertain limited efficacy of the 3-arm intervention to improve cerebral oxygenation, physiological status, physical function and QOL.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
SINGLE
Enrollment
69
Walking 5 times per week at moderate intensity; cognitive retraining one-hour 2 times per week.
Emory University Heart Failure Clinics
Atlanta, Georgia, United States
Verbal Memory Score Change
List Learning (0-40), List Recall (0-10), and List Recognition (0-20) sections from the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) are used to assess Verbal memory.The range of scores for each section are in parentheses. Higher scores reflect better verbal memory. Scores are averaged for a total Verbal memory score, then converted to Z-score. Z-scores are used when neurocognitive test scores use different measurement scales, e.g., time to completion and number correct. This allows to report performance in a straightforward manner, with low and high scores reflecting poor and good performance consistently across different types of tests, and to provide interpretation of a person's performance in comparison to a group. For interpretive purposes, a z-score has a mean of 0 and a standard deviation of 1. This means that an individual who has a z-score of 1.5 is performing one and a half standard deviations above the group to which he/she is compared.
Time frame: Baseline, 3 months, 6 months
Visual Memory Score Change
Visual memory will be assessed using Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). RBANS figure recall requires the participant to remember a recent figure and redraw it from memory. The range of possible scores is 0-20. Scores are averaged, and then converted to z score. Z-scores are used when neurocognitive test scores use different measurement scales, e.g., time to completion and number correct. This allows to report performance in a straightforward manner, with low and high scores reflecting poor and good performance consistently across different types of tests, and to provide interpretation of a person's performance in comparison to a group. For interpretive purposes, a z-score has a mean of 0 and a standard deviation of 1. This means that an individual who has a z-score of 1.5 is performing one and a half standard deviations above the group to which he/she is compared.
Time frame: Baseline, 3 months, 6 months
Change in Processing Speed/Attention Score
RBANS coding (0-89) Color Trails 1 (timed test, 1-5 minutes) measures attention. The length of time to complete each part is recorded; lower raw scores reflect better processing speed and attention. Lower raw scores reflect better processing speed and attention. Scores are averaged for a total score, then converted to Z scores. Z-scores are used when neurocognitive test scores use different measurement scales, e.g., time to completion and number correct. This allows to report performance in a straightforward manner, with low and high scores reflecting poor and good performance consistently across different types of tests, and to provide interpretation of a person's performance in comparison to a group. For interpretive purposes, a z-score has a mean of 0 and a standard deviation of 1. This means that an individual who has a z-score of 1.5 is performing one and a half standard deviations above the group to which he/she is compared.
Time frame: Baseline, 3 months, 6 months
Change in Working Memory Score
Digit Span Forward (0-16), Digit Span Backwards (0-16), Digit Span Sequencing (0-16) and Letter Number Sequencing (0-48) sections from the Wechsler Adult Intelligence Scale - Fourth Edition are used to assess Working Memory. The range of possible scores for each section are in parentheses. The Digit Span subtest require the repetition of verbally presented series of numbers that increase in length; trials include the repeating of numbers in forward, backward, and numerical order. The Letter-Number sequencing test requires the repeating strings of letters and numbers in numerical and then in alphabetical order. Color Trails Test (CTT) Part 2, participants rapidly connect numbered circles in sequence while alternating between pink and yellow circles. Higher scores reflect better outcome. Scores reflect number correct and are averaged for total correct Working Memory score; are then converted to Z-score.
Time frame: Baseline, 3 months, 6 months
Change in Reaction Time
Scores are automatically calculated via the scoring software embedded within the CalCap and are standardized based on age and education level norms. Normative data are stratified by both age (20-34, 35-44, 45+) and education (\< 16 years, 16 years, \> 16 years). Lower scores reflect slower reaction time and higher scores reflect faster reaction time. Scores are automatically converted to age/education based standard scores and are reported as a T-score. T-scores (as Z-scores) are used when neurocognitive test scores use different measurement scales, e.g., time to completion and number correct. This allows to report performance in a straightforward manner, with low and high scores reflecting poor and good performance consistently across different types of tests, and to provide interpretation of a person's performance in comparison to a group.
Time frame: Baseline, 3 months, 6 months
Functional Capacity
Functional capacity will be assessed by six-minute walk across all 3 arms of the study.
Time frame: Baseline, 3 months, 6 months
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