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. Author manuscript; available in PMC: 2023 Apr 1.
Published in final edited form as: J Card Fail. 2021 Nov 8;28(4):519–530. doi: 10.1016/j.cardfail.2021.10.008

Randomized Controlled Trial of a Cognitive Intervention to Improve Memory in Heart Failure

SUSAN J PRESSLER 1, MIYEON JUNG 1, IRMINA GRADUS-PIZLO 2, MARITA G TITLER 3, DEAN G SMITH 4, SUJUAN GAO 5, KITTIE REID LAKE 1, HEATHER BURNEY 5, DAVID G CLARK 6, KELLY L WIERENGA 1, SUSAN G DORSEY 7, BRUNO GIORDANI 8
PMCID: PMC9018491  NIHMSID: NIHMS1764230  PMID: 34763080

Abstract

Background:

The objective of this 3-arm randomized controlled trial was to evaluate the efficacy of computerized cognitive training (CCT) in improving primary outcomes of delayed-recall memory and serum brain-derived neurotrophic factor (BDNF) levels; and the secondary outcomes were working memory, instrumental activities of daily living (IADLs) and health-related quality of life (HRQL) in patients with heart failure (HF).

Methods and Results:

Patients (n = 256) were randomly assigned to 8 weeks of CCT using BrainHQ, computerized crossword puzzles active control intervention, and usual care. All patients received weekly nurse-enhancement interventions. Data were collected at enrollment and baseline visits and at 10 weeks and 4 and 8 months. In mixed effects models, there were no statistically significant group or group-by-time differences in outcomes. There were statistically significant differences over time in all outcomes in all groups. Patients improved over time on measures of delayed-recall memory, working memory, IADLs, and HRQL and had decreased serum BDNF.

Conclusions:

CCT did not improve outcomes compared with the active control intervention and usual care. Nurse-enhancement interventions may have led to improved outcomes over time. Future studies are needed to test nurse-enhancement interventions in combination with other cognitive interventions to improve memory in persons with HF.

Keywords: heart failure, cognitive dysfunction, computerized cognitive training, nurse-enhancement intervention

Lay Summary

In 256 patients with heart failure, 8 weeks of computerized cognitive training, computerized crossword puzzles or usual care were studied for effects on (1st) delayed recall memory and serum brain-derived neurotrophic factor (BDNF) and (2nd) working memory, instrumental activities of daily living (IADLs), and health-related quality of life (HRQL). Measurements were at baseline, 10 weeks, and 4 and 8 months. Nurse-enhancement interventions (eg, support, assessment) were provided. Delayed recall memory, working memory, IADLs, and HRQL improved over time. There were no statistically significant differences among treatment groups over time. BDNF unexpectedly decreased. Nurse-enhancement interventions may explain improved outcomes. Future studies are needed.


More than 6.2 million adults in the United States have heart failure (HF),1 and cognitive dysfunction occurs in 23% to 75% of these adults.24 Memory is the cognitive domain most often impaired,2,3 and memory dysfunction is an independent predictor of mortality in patients with HF.5 The relationship has been established between HF and both memory dysfunction and structural brain damage.3,4,617 In addition, memory dysfunction is associated with poorer performance of instrumental activities of daily living (IADLs)18 and worse health-related quality of life (HRQL).19,20 Improving memory is essential to maintaining independent living, enhancing HRQL, and preventing the trajectory of decline that occurs in patients with HF. Few interventions have been tested that target memory improvement using randomized controlled trial (RCT) designs in adequately sized samples of patients with HF.2126

The evidence is compelling: HF is associated with memory dysfunction as measured using screening tests,27,28 neuropsychological tests2,3 and self-report.19,20 The prevalence of dysfunction varies across studies based on research design, measures and sample characteristics. Increased HF severity and older age are associated with increased memory dysfunction, although associations vary across studies.2,3,14 By gender, in a study of 249 patients with HF, men had poorer memory scores than women in total and delayed recall.2 Taken together, the literature supports the fact that patients with HF experience dysfunction in memory and working memory; older patients with more severe HF are at greater risk of memory dysfunction, and men may be at increased risk.

Structural brain damage4,717 in patients with HF occurs in areas of the brain responsible for memory and working memory. Major pathophysiological processes thought to be responsible are low cardiac output leading to cerebral hypoperfusion4,611 and atrial fibrillation leading to cerebral microemboli.13,14 In a series of case-controlled studies, the structures damaged with neuronal loss include the hippocampi,11 fornix fibers,6 amygda-lae,6 mamillary bodies,6 medial temporal and frontal lobes,68,10,11,14,15 and cerebellum.17 Recently, N-terminal prohormone of brain natriuretic peptide was significantly and negatively correlated with reduced density of gray matter in the medial and posterior cingulate cortex, hippocampus and precuneus.15

A growing body of science supports the idea that brain plasticity-based computerized cognitive training (CCT) may be an efficacious intervention to improve memory performance by improving sensory processing of information and increasing neuronal growth.21 26,29 This approach targets the memory dysfunction and brain structural damage of neuronal loss found in HF. Efficacy has been supported of cognitive training to improve memory in meta-analyses among healthy older adults30 and adults with mild cognitive impairment.31 In preliminary studies among 4021 and 2724 patients with HF, patients randomized to CCT had significantly improved memory,21 working memory21,24 and serum brain-derived neurotrophic factor (BDNF)24 levels over 12 weeks. Serum BDNF is a neurotrophin involved in neurogenesis and neuroplasticity changes related to memory and learning.3235 In a pilot study of 69 patients with HF, patients randomized to a combined exercise and CCT intervention had improved verbal memory at 3 months after intervention compared with patients randomized to attention control and exercise only, but not at 6 months.26 To our knowledge, no other randomized clinical trials have tested the efficacy of CCT in patients with HF.

The purpose of Cognitive Intervention to Improve Memory in Heart Failure Patients (NR016116; NCT #03035565; Pressler MPI) (MEMOIR-HF) was to conduct a full-scale efficacy test of the CCT intervention against a general cognitive stimulation computerized crossword puzzle active-control intervention and a usual-care control group who received no computerized cognitive intervention.36 The first study aim was to evaluate the efficacy of CCT to improve coprimary outcomes of memory and serum BDNF levels and secondary outcomes of working memory, IADLs and HRQL. It was hypothesized that patients randomized to the CCT using BrainHQ would have improved delayed-recall memory, increased serum BDNF and improved working memory, IADLs and HRQL at 10 weeks and 4 and 8 months after baseline in comparison to the computerized puzzles active control and usual-care control groups. CCT is a feasible, low cost and potentially scalable intervention for improving memory.

Methods

Design and Procedures

MEMOIR-HF was a 3-arm RCT. The protocol was approved by the university’s institutional review board. All patients provided written informed consent prior to data collection. At enrollment, patients completed the Montreal Cognitive Assessment (MoCA) test,37 and venipuncture for biospecimens and baseline visits were scheduled. After baseline data collection, patients were randomized to 1 of the 3 groups for the 8-week intervention phase. After completion of the intervention phase, patients completed follow-up data collection at 10 weeks and 4 and 8 months after baseline. Baseline and follow-up data collection were completed in patients’ homes, clinics or school of nursing research offices, based on their preferences. Follow-up data were collected by trained research assistants masked to randomization group. Data were collected between February 2017 and November 2020.

Patients were randomized to the 3 groups using stratified randomization. The strata were defined by gender and global cognitive function as measured by the MoCA test, with scores of normal (26–30) or low (19–25). Patients were assigned to 1 of the 3 groups with equal probability. A computer-generated randomization list was maintained on a secure website accessed by 1 coinvestigator (MJ) and the project manager to determine group assignments after baseline data collection.

Sample

Patients were recruited from 7 multidisciplinary HF and cardiology clinics. Inclusion criteria were: (1) age 21 years or older; (2) understanding of English; (3) telephone access; (4) hearing of normal conversation; (5) able to read computer screen; (6) chronic HF, stage C; (7) New York Heart Association (NYHA) class I, II or III; and (8) receiving optimized medical therapies. Patients were excluded if they had a comorbid condition known to cause memory loss or terminal illness or a MoCA37 score less than 19, which suggests possible dementia.38

Interventions

The study interventions are described in detail elsewhere.21,36 Briefly, the CCT intervention BrainHQ developed by PositScience (https://www.brainhq.com/) was designed to improve memory and working memory using scientific principles of neuroplasticity. It is a tailored, adaptive intervention that assesses baseline cognitive performance and increases in difficulty (titrates) as the individual successfully progresses through the program. Patients randomized to CCT were instructed to use the program 5 hours a week for 8 weeks, for a total of 40 hours, as recommended by the developers of BrainHQ.3941 The exact time for brain plasticity improvement to occur after training is unknown, but it may take at least 1 month.42,43 The structural integrity of white matter was shown to be increased after 8 weeks of training (n = 11 healthy adults).44 The 4-month follow-up time allowed for development of plasticity, and the 8-month follow-up time allowed for evaluation of sustained change.45,46 The computerized puzzles’ active control intervention was designed to match the CCT intervention in delivery mode and time. Patients randomized to puzzles were instructed to use free puzzles from Crossword Fun (Crossword Fun-Chrome Web Store) (google.com) [accessed 05/07/2021] and Bestcrosswords (Free Crossword Puzzles/BestCross words.com) [accessed 05/07/2021] for 5 hours a week for 8 weeks for a total of 40 hours. Patients randomized to usual care did not receive any specific cognitive interventions from the study team and continued to receive care from multidisciplinary health care professionals, including cardiologists.

The prespecified adherence level was ≥ 90% of 40 hours. Adherence was measured for the CCT group using documentation from the BrainHQ program (time spent; number of exercises completed; and notification of completion) and patient self-report (time spent). Adherence was measured for the puzzles group using documentation by patients’ self-reporting of time spent. After each puzzles session, patients were requested to document the time they spent on the calendar provided to them by the study team.

All patients in the 3 groups received nurse-enhancement interventions during the 8-week intervention periods.21,24,36 Core elements of the nurse-enhancement interventions were providing support and education for the CCT interventions, assessing patients’ health status and surveilling changes in clinical condition, and monitoring treatment fidelity. The rationale was 3-fold for the core elements. First, strong empirical evidence exists that nurse-led interventions that provide education and support are associated with improved HRQL and reduced hospitalization among patients with HF.4749 Second, changes in the clinical condition of patients with HF need to be surveilled because they may interfere with performance of the interventions.50 Third, treatment fidelity to cognitive training interventions needs to be monitored to evaluate efficacy.51 The nurse-enhancement interventions were delivered under the guidance of a coinvestigator (MJ). Over the course of the study, interventions were delivered by 8 registered nurses (6 with bachelor’s and 2 with PhD degrees) who had experience in caring for persons with chronic illness; 1 undergraduate social work student; and the project manager (bachelor’s degree in business) with 6 years of health-research experience. The nurse-enhancement interventions included a 1-hour home visit to educate patients about performing the CCT and puzzles interventions and weekly telephone calls during the 8 weeks of intervention (CCT and puzzles groups). Patients in the usual-care group did not receive cognitive interventions, and the nurse-enhancement intervention focused on surveillance of patients’ clinical conditions. Weekly telephone calls during the 8 weeks were to provide the core elements, guided by the treatment group assignment. If patients needed more assistance in performing interventions, intervenors made additional telephone calls and home visits.

Outcome Measures

The outcome measures were chosen based on past successful study outcomes for this population of patients.21,24,36 All outcome measures have documented validity and reliability. The coprimary outcome measures were the Hopkins Verbal Learning Test Revised (HVLT-R)52 delayed-recall memory score and serum BDNF levels. To complete the HVLT-R delayed-recall score, the patient is requested to learn and remember 12 words over 3 trials and recall the words 20 minutes later. Possible scores range from 0 to 12 for the delayed-recall measure, and higher scores indicate better performance. Serum BDNF levels were measured at the enrollment visit and at 10 weeks, 4 months and 8 months after baseline. BDNF was assayed using a commercially available ELISA (R&D Systems, Minneapolis, MN) in batches with duplicates for each patient. The limit of detection was 20 pg/mL. None of the samples were below the detection limit.

The secondary outcomes measured were the CogState One Back Accuracy task53 to assess working memory, the Everyday Problems Test for Cognitively Challenged Elderly54 to assess IADLs, and the Minnesota Living with Heart Failure Questionnaire55 to assess HRQL. The CogState One Back Accuracy task is a computerized neuropsychological test that uses playing cards as the stimulus to assess working memory. Transformed scores of the arcsine of correct responses were used in the analyses. Higher scores indicate better performance. The Everyday Problems Test for Cognitively Challenged Elderly is a 16-item performance-based test with 2 questions per item. Total possible scores range from 0 to 32, and higher scores indicate better performance. The Minnesota Living with Heart Failure Questionnaire is a 21-item questionnaire on 6-point response scales designed to measure the impact of physical and emotional symptoms on patients’ ability to live as they want. Possible total scores range from 0 to 105, and higher scores indicate poorer HRQL. A 5-point change is clinically meaningful.56 Other variables were collected to characterize the sample and monitor treatment fidelity. Patient satisfaction with the study was completed at 8 months by using the 9-item Patient Satisfaction Questionnaire.57

Statistical Analysis

MEMOIR-HF was designed to have 80% power based on a 2-tailed test at a 5% significance level to test the hypotheses that patients in the CCT group would have improved memory and increased serum BDNF levels compared with the puzzles and usual-care groups at 8 months.36 Details of the sample size were published elsewhere.36 The planned sample size was 264 patients to ensure 70 patients per group at completion. The sample size was adjusted to 276 during year 4 to account for withdrawals. Patients who completed baseline interviews were randomly assigned as planned in the randomization scheme and analyzed in the group to which they were originally assigned (intention to treat).

Descriptive statistics were computed for all variables, scores were examined for outliers, and density plots were evaluated for variable distributions. Baseline comparisons were evaluated for demographic and clinical variables among the 3 groups using analysis of variance (ANOVA) and the Fisher’s exact and χ2 tests.

Mixed effects models were conducted to test the hypotheses for the 5 outcome measures collected at baseline, 10 weeks, and 4 and 8 months. The main effect for each group was not included in the models in order to enforce the equal group mean assumption at baseline, given the RCT design.58 Time and group-by-time interactions were included in the mixed models while controlling for the stratifying variables of gender and MoCA with an unstructured covariance matrix. Comparisons were conducted among the 3 group means at each postrandomization time using F-tests for contrasts within the mixed effects models. Analyses were completed using SAS 9.4 (SAS Institute, Cary, NC). The significance level was alpha < .05.

A sensitivity analysis was conducted using multiple imputation to evaluate the influence of missing follow-up data on study outcomes, particularly missing data because of the coronavirus disease 2019 (COVID-19). During year 4, month 9, of the study (March 2020), the COVID-19 pandemic began in the state, and face-to-face research visits were prohibited. The patients in the computerized-intervention groups continued to complete them, and the nurse-enhancement interventions continued to be delivered by telephone. The protocol was modified to change follow-up data collection from face-to-face to telephone interviews. The modified protocol received emergency approval from the institutional review board and was initiated on March 16, 2020. The COVID-19 restrictions necessitated a change in 4 outcome measures that required face-to-face administration. This change resulted in missing data for a subset of patients. The numbers of patients who withdrew or were lost to follow-up are provided in Fig. 1. COVID-19-related missing data accounted for most of the missing outcomes; the highest percentages of missing data were for CogState working memory and Everyday Problems Test IADLs, and serum BDNF (all 24.5%) at the 8-month follow-up. The percentage of missing for the HVLT delayed-recall memory was 18.5% at 8-month follow-up. There were no missing values for the Living with Heart Failure Questionnaire HRQL measure.

Fig. 1.

Fig. 1.

Diagram of the Cognitive Intervention to Improve Memory in Heart Failure Patients (MEMOIR-HF CONSORT) study.

A regression imputation approach was used to generate predicted values for those with missing outcomes by using baseline characteristics and observed outcomes with separate group means while adjusting for randomization strata.59,60 Mixed effects models were conducted using the data generated by multiple imputations, and results were combined to provide parameter estimates and hypothesis tests results. The statistical software SAS 9.4 was used for the analyses. The significance level was alpha < .05.

Two additional sensitivity analyses were completed to further evaluate the effects of adherence to the CCT intervention on outcomes. First, a per protocol analysis was completed using mixed effects models to compare the patients in the CCT group who had 90% and higher adherence with the patients in the puzzles active control and usual-care control groups. Second, a dose/response analysis was completed using mixed effects models in the patients randomized to CCT, adjusting for age, gender, years of education, and left ventricular ejection fraction (LVEF).

Results

A total of 276 patients consented, 256 were randomized, and 233 (91%) completed the study (Fig. 1). Stratification by gender and MoCA score yielded a sample of 139 (54.3%) women and 117 (45.7%) men; the sample included 121 (47.3%) patients with normal MoCA scores and 135 (52.7%) with low MoCA scores (Table 1). The mean age was 66.4 years (SD = 12.3), and the mean education level was 13.9 years (SD = 2.6). The sample included patients with both reduced and preserved ejection fraction; mean LVEF was 49.3% (SD = 14.4). NYHA class was: I, n = 23 (9%); II, n = 96 (37.5%); III, n = 134 (52.3%); and IV, n = 1 (0.4%). Baseline comparisons are presented for the groups in Table 1. No statistically significant differences were found in baseline variables among the groups.

Table 1.

Baseline Demographic and Clinical Characteristics by Group (n = 256)

Characteristic Overall (n = 256) BrainHQ (n = 85) Puzzles (n = 86) Usual Care (n = 85) P Value

Age, y, mean ± SD 66.4 ± 12.3 67.1 ± 12.9 66.8 ± 12.2 65.2 ± 11.9 .544a
Sex, n (%) .972b
 Men 117 (45.7) 39 (45.9) 40 (46.5) 38 (44.7)
 Women 139 (54.3) 46 (54.1) 46 (53.5) 47 (55.3)
Race, n (%) .560c
 Asian 1 (0.4) 0 (0) 1 (1.2) 0 (0)
 Native Hawaiian/Pacific Islander 1 (0.4) 0 (0) 0 (0) 1 (1.2)
 Black/African American 37 (14.5) 11 (12.9) 11 (12.8) 15 (17.7)
 White 216 (84.4) 74 (87.1) 74 (86.1) 68 (80.0)
 More than 1 race 1 (0.4) 0 (0) 0 (0) 1 (1.2)
Ethnicity, n (%) .649c
 Hispanic or Latino 4 (1.6) 2 (2.4) 1 (1.2) 1 (1.2)
 Non-Hispanic or Latino 251 (98.1) 82 (96.5) 85 (98.8) 84 (98.8)
 Unknown 1 (0.4) 1 (1.2) 0 (0) 0 (0)
Marital status, n (%) .825b
 Married 133 (52.0) 42 (49.4) 45 (52.3) 46 (54.1)
 Not married 123 (48.1) 43 (50.6) 41 (47.7) 39 (45.9)
Education, y, mean ± SD 13.9 ± 2.6 13.8 ± 2.9 13.9 ± 2.5 14.0 ± 2.4 .928a
LVEF, %, mean ± SD 49.3 ± 14.4 48.9 ± 14.5 49.3 ± 14.1 49.5 ± 14.6 .965a
LVEF, n (%) .872c
 Normal ≥ 50% 139 (54.3) 48 (56.5) 47 (54.7) 44 (51.8)
 Moderately reduced 40–49% 53 (20.7) 14 (16.5) 19 (22.1) 20 (23.5)
 Reduced < 40% 62 (24.2) 22 (25.9) 19 (22.1) 21 (24.7)
 Missing 2 (0.8) 1 (1.2) 1 (1.2) 0 (0.0)
NYHA class, n (%) .124c
 I 23 (9.0) 9 (10.6) 6 (7.0) 8 (9.4)
 II 96 (37.5) 26 (30.6) 29 (33.7) 41 (48.2)
 III 134 (52.3) 48 (56.5) 51 (59.3) 35 (41.2)
 IV 1 (0.4) 1 (1.2) 0 (0) 0 (0)
 Missing 2 (0.8) 1 (1.2) 0 (0) 1 (1.2)
Medications, n (%)
 ACE inhibitor 85 (33.2) 24 (28.2) 29 (33.7) 32 (37.7) .425b
 ARB 63 (24.6) 27 (31.8) 16 (18.6) 20 (23.5) .131b
 ARNI 17 (6.6) 5 (5.9) 5 (5.8) 7 (8.2) .770b
 Beta-adrenergic blocker 213 (83.2) 74 (87.1) 71 (82.6) 68 (80.0) .460b
 Diuretic 199 (77.7) 68 (80.0) 66 (76.7) 65 (76.5) .827b
 Aldosterone antagonist 69 (27.0) 26 (30.6) 23 (26.7) 20 (23.5) .583b
 SGLT-2 inhibitor 6 (2.3) 2 (2.4) 2 (2.3) 2 (2.4) 1.000b
 Anticoagulant-warfarin 51 (19.9) 12 (14.1) 21 (24.4) 18 (21.2) .227b
 Antiplatelet 57 (22.3) 20 (23.5) 20 (23.3) 17 (20.0) .827b
 Factor Xa inhibitor 61 (23.8) 18 (21.2) 22 (25.6) 21 (24.7) .775b
 Thrombin inhibitor 4 (1.6) 2 (2.4) 0 (0) 2 (2.4) .401c
 Antidepressant 85 (33.2) 24 (28.2) 33 (38.4) 28 (32.9) .371b
 Anxiolytic/sedative/hypnotic 26 (10.2) 11 (12.9) 10 (11.6) 5 (5.9) .269b
History comorbid condition, n (%)
 Atrial fibrillation 110 (43.0) 33 (38.8) 41 (47.7) 36 (42.4) .500b
 Hypertension 210 (82.0) 71 (83.5) 70 (81.4) 69 (81.2) .907b
 Coronary artery disease 112 (43.8) 36 (42.4) 39 (45.4) 37 (43.5) .924b
 Coronary artery bypass graft 51 (19.9) 17 (20.0) 21 (24.4) 13 (15.3) .328b
 Depression 50 (19.5) 19 (22.4) 13 (15.1) 18 (21.2) .440b
 Diabetes 117 (45.7) 42 (49.4) 39 (45.4) 36 (42.4) .651b
 Myocardial infarction 50 (19.5) 14 (16.5) 19 (22.1) 17 (20.0) .645b
 Sudden cardiac arrest 6 (2.3) 2 (2.4) 2 (2.3) 2 (2.4) 1.000c
 Stroke 24 (9.4) 6 (7.1) 9 (10.5) 9 (10.6) .669b
 Transient ischemic attack 11 (4.3) 5 (5.9) 4 (4.7) 2 (2.4) .555c
 Ventricular arrhythmias 40 (15.6) 13 (15.3) 13 (15.1) 14 (16.5) .966b
MoCA at enrollment, mean ± SD 25.3 ± 2.5 25.4 ± 2.6 25.1 ± 2.6 25.4 ± 2.5 .683a
 Normal, mean ± SD 27.5 ± 1.2 27.5 ± 1.3 27.4 ± 1.3 27.5 ± 1.1 .809a
 Low, mean ± SD 23.3 ± 1.6 23.4 ± 1.6 23.1 ±1.6 23.5 ± 1.6 .518a
PHQ-8, mean ± SD 5.9 ± 5.0 5.9 ± 4.7 6.0 ± 5.8 5.7 ± 4.5 .913a

ACE, angiotensin-converting enzyme; ARB, angiotensin receptor blocking agent; ARNI, angiotensin receptor-neprilysin inhibitor; LVEF, left ventricular ejection fraction; MoCA, Montreal Cognitive Assessment; NYHA, New York Heart Association; PHQ-8, Patient Health Questionnaire-8; SGLT-2, sodium-glucose co-transporter-2.

a

Analysis of variance

b

χ2 test.

c

Fisher’s exact test.

Intervention data are presented in Table 2. In the intervention groups, 42 (49%) of the 85 patients randomized to CCT and 57 (66%) of the 86 randomized to puzzles met the 90% adherence rate. The total time spent by intervenors on nurse-enhancement interventions was 35.2 hours for the CCT group, 34.3 hours for the puzzles group, and 23.1 hours for the usual-care group. There were no statistically significant differences in patient satisfaction with the study among patients randomized to the 3 groups (P = 0.768). At the final 8-month data-collection timepoint, patients were asked if they would like to receive a complimentary copy of BrainHQ access for 8 weeks from PositScience. If patients said yes, the study team member sent them a link to request the copy. Of the 233 patients who completed the study, 117 replied yes (31 in BrainHQ; 38 in puzzles; 48 in usual care); 78 replied no (29 in BrainHQ; 29 in puzzles; 20 in usual care); and 38 (12 in BrainHQ; 13 in puzzles; 13 in usual care) did not send response. We do not know how many patients requested or used the copy because it occurred after the study’s completion.

Table 2.

Intervention Variables

Variables BrainHQ (n = 85) Puzzles (n = 86) Usual Care (n = 85) P value

Computerized interventions
Adherence in hours, mean ± SD 24.9 ± 14.6 38.7 ± 17.0 N/A < .0001a
Adherence ≥ 90%, n (%) 42 (49%) 57 (66%) N/A .026b
Nurse-enhancement interventions
Total time spent on telephone calls in minutes, mean ± SD 35.2 ± 19.9d 34.3 ± 20.3 23.1 ± 9.6 < .0001c

SD, standard deviation.

a

t test

b

χ2 test

c

Analysis of variance

d

n = 83

The observed means are presented for the primary and secondary outcomes for the groups in Table 3. There were no statistically significant differences in group by time interactions for the primary and secondary outcomes of HVLT-R delayed-recall scores, serum BDNF levels, CogState One Back Accuracy task, Everyday Problems Test scores, and Living with Heart Failure Questionnaire scores. However, there were statistically significant differences in time effects from baseline for all 5 outcome variables of HVLT-R delayed-recall scores (P < .0001), serum BDNF levels (P = 0.0007), CogState One Back Accuracy task (P = 0.0495), Everyday Problems Test (P = 0.023), and Living with Heart Failure scores (P = 0.025). The time-dependent changes were evident by 10 weeks and persisted until the end of follow-up (8 months) in the neuropsychological tests and IADL variables, the biological (ie, BDNF) variable, and the psychological HRQL variable. Post hoc analysis results comparing the predicted group means at each follow-up time are presented in Table 4. There were no significant differences among the 3 groups at any follow-up evaluations.

Table 3.

Mixed Effects Models Results for Outcome Variables Adjusted for Stratified Variables of Gender and MoCA (n = 256)

Visit Observed Means and Standard Deviations
Mixed Models P Value
BrainHQ (n = 85) Puzzles (n = 86) Usual Care (n = 85) Time Group × Time

Hopkins Verbal Learning Test–Revised, Delayed Recall < .0001 .753
 Baseline 8.8 ± 2.7 8.4 ± 2.7 8.7 ± 2.5
 10 weeks 9.2 ± 3.0 9.0 ± 2.5 9.1 ± 2.7
 4 months 9.9 ± 2.3 9.4 ± 2.4 9.9 ± 2.0
 8 months 9.5 ± 2.3 9.7 ± 2.4 9.9 ± 1.9
Serum BDNF, ng/mL .0007 .709
 Baseline 19.2 ± 7.4 17.5 ± 7.8 18.3 ± 7.8
 10 weeks 16.8 ± 8.1 15.9 ± 8.8 16.3 ± 9.0
 4 months 16.8 ± 8.4 16.9 ± 8.8 15.9 ± 8.4
 8 months 16.2 ± 7.7 14.5 ± 8.8 16.2 ± 7.4
CogState One Back Accuracy .049 .839
 Baseline 1.3 ± 0.2 1.3 ± 0.2 1.3 ± 0.2
 10 weeks 1.3 ± 0.2 1.3 ± 0.3 1.3 ± 0.2
 4 months 1.3 ± 0.2 1.3 ± 0.3 1.3 ± 0.2
 8 months 1.3 ± 0.3 1.3 ± 0.2 1.3 ± 0.2
Everyday Problems Test .023 .263
 Baseline 27.1 ± 4.4 26.1 ± 4.8 26.4 ± 4.9
 10 weeks 27.4 ± 4.8 27.5 ± 4.6 27.6 ± 4.6
 4 months 27.8 ± 3.9 26.7 ± 5.2 27.5 ± 4.7
 8 months 27.4 ± 3.8 27.5 ± 5.2 28.5 ± 3.2
LHFQ .025 .648
 Baseline 30.2 ± 23.0 34.0 ± 24.2 32.6 ± 21.6
 10 weeks 28.8 ± 22.5 29.5 ± 23.1 29.0 ± 21.6
 4 months 30.7 ± 25.8 28.8 ± 23.7 31.1 ± 22.6
 8 months 31.6 ± 26.5 29.6 ± 23.4 32.2 ± 25.4

BDNF, brain-derived neurotrophic factor; LHFQ, Living with Heart Failure Questionnaire; MoCA, Montreal Cognitive Assessment; ng/ml, nanogram per milliliter

Table 4.

Post hoc Comparisons of Mixed Effects Models Results for Outcome Variables at 10 Weeks and 4 and 8 Months (n = 256)

Visit Predicted Means and 95% Confidence Intervals
P Value
BrainHQ (n = 85) Puzzles (n = 86) Usual Care (n = 85)

Hopkins Verbal Learning Test–Revised, Delayed Recall
 10 weeks 8.9 (8.3 to 9.4) 8.9 (8.3 to 9.4) 8.9 (8.6 to 9.3) .819
 4 months 9.4 (8.9 to 9.9) 9.4 (8.9 to 9.9) 9.5 (9.2 to 9.8) .578
 8 months 9.3 (8.8 to 9.7) 9.5 (9.1 to 10.0) 9.5 (9.2 to 9.8) .222
Serum BDNF, ng/mL
 10 weeks 16.5 (14.8 to 18.2) 17.0 (15.3 to 18.7) 16.7 (15.5 to 17.8) .851
 4 months 16.8 (15.0 to 18.6) 17.9 (16.3 to 19.6) 17.1 (15.9 to 18.3) .367
 8 months 16.6 (14.7 to 18.5) 16.0 (14.3 to 17.8) 16.5 (15.4 to 17.7) .694
CogState One Back Accuracy
 10 weeks 1.3 (1.2 to 1.3) 1.3 (1.3 to 1.4) 1.3 (1.3 to 1.3) .543
 4 months 1.3 (1.3 to 1.4) 1.3 (1.3 to 1.4) 1.3 (1.3 to 1.4) .647
 8 months 1.3 (1.2 to 1.3) 1.3 (1.3 to 1.4) 1.3 (1.3 to 1.3) .407
Everyday Problems Test
 10 weeks 26.7 (25.8 to 27.6) 27.4 (26.6 to 28.3) 27.3 (26.7 to 27.9) .099
 4 months 26.9 (26.0 to 27.9) 26.9 (26.0 to 27.8) 27.1 (26.5 to 27.7) .615
 8 months 26.4 (25.4 to 27.4) 27.2 (26.3 to 28.2) 27.1 (26.5 to 27.7) .092
LHFQ
 10 weeks 29.3 (25.4 to 33.2) 29.2 (25.4 to 33.1) 28.9 (26.2 to 31.7) .882
 4 months 31.2 (26.7 to 35.6) 27.0 (22.8 to 31.3) 29.5 (26.5 to 32.4) .293
 8 months 32.1 (27.3 to 36.9) 28.7 (24.2 to 33.3) 30.7 (27.6 to 33.8) .529

BDNF, brain-derived neurotrophic factor; LHFQ, Living with Heart Failure Questionnaire; ng/mL, nanogram per milliliter.

Results from mixed effects models are presented in Table 5, in which multiple imputation was used to compare the outcome measures at 10 weeks and at 4 and 8 months, adjusting for missing data. The primary and secondary outcomes results did not differ substantially from the results in Table 3, using observed data without imputation.

Table 5.

Post hoc Comparisons of Mixed Effects Models Multiple Imputation Results for Outcome Variables at 10 Weeks and 4 and 8 Months (n = 256)

Visit Predicted Means and 95% Confidence Intervals
P Value
BrainHQ (n = 85) Puzzles (n = 86) Usual Care (n = 85)

Hopkins Verbal Learning Test–Revised, Delayed Recall
 10 weeks 9.0 (8.5 to 9.6) 9.0 (8.5 to 9.5) 9.0 (8.7 to 9.4) .912
 4 months 9.5 (9.0 to 10.0) 9.3 (8.8 to 9.8) 9.5 (9.2 to 9.8) .452
 8 months 9.2 (8.7 to 9.6) 9.5 (9.0 to 9.9) 9.4 (9.1 to 9.7) .299
Serum BDNF, ng/mL
 10 weeks 16.4 (14.6 to 18.3) 16.6 (14.8 to 18.4) 16.5 (15.3 to 17.6) .796
 4 months 16.6 (14.5 to 18.6) 17.3 (15.5 to 19.1) 16.6 (15.5 to 17.8) .491
 8 months 16.1 (14.1 to 18.0) 15.3 (13.4 to 17.2) 15.9 (14.8 to 17.1) .475
CogState One Back Accuracy
 10 weeks 1.3 (1.3 to 1.3) 1.3 (1.3 to 1.4) 1.3 (1.3 to 1.3) .750
 4 months 1.3 (1.3 to 1.4) 1.3 (1.3 to 1.4) 1.3 (1.3 to 1.3) .703
 8 months 1.3 (1.2 to 1.3) 1.3 (1.3 to 1.4) 1.3 (1.3 to 1.3) .627
Everyday Problems Test
 10 weeks 26.8 (25.9 to 27.7) 27.4 (26.5 to 28.3) 27.3 (26.7 to 27.9) .219
 4 months 27.1 (26.0 to 28.1) 26.9 (25.9 to 27.8) 27.1 (26.5 to 27.7) .583
 8 months 26.7 (25.7 to 27.7) 27.1 (26.2 to 28.1) 27.3 (26.7 to 27.8) .147
LHFQ
 10 weeks 30.9 (26.7 to 35.1) 28.9 (24.7 to 33.1) 29.4 (26.6 to 32.2) .506
 4 months 31.8 (27.3 to 36.3) 27.1 (22.7 to 31.4) 29.9 (26.9 to 32.8) .208
 8 months 33.1 (28.4 to 37.9) 28.2 (23.6 to 32.8) 31.0 (28.0 to 34.0) .258

BDNF, brain-derived neurotrophic factor; LHFQ, Living with Heart Failure Questionnaire; ng/mL, nanogram per milliliter.

The per protocol analysis was conducted to test for the robustness of the intention-to-treat results. The findings were similar to those of the main mixed effects model analysis. Compared with patients randomized to the puzzles-active control (n = 86) and usual-care control groups (n = 85), patients randomized to CCT who had 90% and higher adherence (n = 43) had no statistically significant differences in group by time interactions for the outcomes of HVLT-R delayed-recall scores (P = 0.456), serum BDNF levels (P = 0.718), CogState One Back Accuracy task (P = 0.646), Everyday Problems Test scores (P = 0.461), or Living with Heart Failure Questionnaire scores (P = 0.527). Notably, the time-dependent changes remained statistically significant for 4 of the outcome variables: HVLT-R delayed-recall scores (P < .0001); serum BDNF levels (P = 0.006); Everyday Problems Test (P = 0.004); and Living with Heart Failure scores (P = 0.006). In contrast to the main results, the CogState One Back Accuracy task was not statistically significantly different over time (P = 0.120).

The primary and secondary outcomes did not differ with the dose or duration of the CCT intervention. Results from the dose/response analysis, conducted in patients randomized to CCT, indicated that there were no statistically significant differences in outcomes based on the time-by-dose interactions at 8 months. The P values for the time-by-dose interactions were: HVLT-R delayed-recall scores (P = 0.355); serum BDNF levels (P = 0.4826); CogState One Back Accuracy task (P = 0.538); Everyday Problems Test (P = 0.316); and Living with Heart Failure Questionnaire scores (P = 0.915).

Discussion

MEMOIR-HF was a well-powered RCT that examined whether a CCT intervention (BrainHQ) could improve delayed-recall memory, serum BDNF levels, working memory, IADLs, and HRQL in patients with HF. To our knowledge, it is the first intention-to-treat RCT conducted to test the efficacy of CCT in these outcomes in patients with HF. Patients in the sample had LVEFs ranging from 15% to 80% (mean, 49.3%) and nearly one-fourth (24.2%) had moderate to severe HF with LVEFs < 40%. Patients were stratified by gender and global cognitive function prior to randomization. Outcome measures were prespecified and validated. We hypothesized that compared with patients randomized to the computerized puzzles active-control and usual-care control groups, patients randomized to 8 weeks of CCT would have improved outcomes over 8 months. The hypotheses were not supported; no statistically significant group-by-time-interaction effects were found for the primary and secondary outcomes. However, consistent and statistically significant time effects were found for all 5 outcome variables beginning 10 weeks after initiation of the intervention and persisting until 8 months. Patients in all groups had statistically significant improvement over time on measures of delayed-recall memory, working memory, IADLs, and HRQL and a statistically significant decrease in serum BDNF levels. The time-dependent results were unexpected for patients with HF, given the declining trajectory of cognitive function unresponsive to known drug therapies.

The changes over time in memory and IADLs are consistent with our preliminary studies in which cognitive training and active-control interventions led to improvement over time, independent of group assignment.21,24 In MEMOIR-HF, a larger, more diverse sample was studied; the puzzles intervention was matched to the CCT intervention in intensity and delivery mode, and the follow-up time was longer (8 months vs 12 weeks) to enable emergence of differences requiring a sustained intervention. The 5-point improvement in HRQL over time is clinically meaningful for the population with HF. It is intriguing to postulate that the MEMOIR-HF nurse-enhancement interventions drove the improvement in outcomes because it was a common denominator in all 3 groups. Patients with HF have frequent changes in clinical conditions, and nursing interventions that provide support and surveillance improve HRQL and increase the likelihood of survival.4749 Future studies are needed to evaluate the core elements of the nurse-enhancement interventions that may have contributed to improvements in memory and the other outcomes. The most efficacious elements of the nurse-enhancement interventions should be included into integrative medicine programs to enhance well-being in persons with HF.

The statistically significant decrease in serum BDNF levels over time in all 3 groups was surprising in directionality but indicative of the biological response to the interventions. BDNF is a complex modulator of neuronal connections and is subject to multiple stimulatory and inhibitory inputs.34 Theoretically, BDNF stimulates neuroplasticity and might be expected to modulate improvement in cognitive function. In MEMOIR-HF, a consistent and significant decrease in BDNF was observed over a timeframe similar to the observed time-dependent improvements in memory, IADLs, and HRQL. The similar temporal changes in the biological response and neuropsychological and behavioral measures suggest a possible connection. It is intriguing to hypothesize that the improved cognitive function may have diminished the stimuli to BDNF expression and, thereby, accounted for its directional change. Given the sparsity of serial data in conditions with a high prevalence of vascular cognitive impairment such as HF, the optimal level of serum BDNF is unclear. It is possible that memory dysfunction in HF needs to be assessed through other biomarkers that have a preeminent position over BDNF. For example, serum BDNF levels may be reflective of inflammatory processes manifest in the pathophysiology of HF,35 and a substantive intervention may indirectly modify BDNF by altering these processes. A systematic evaluation of such factors is warranted in future studies.

One potential limitation of MEMOIR-HF was missing data, arising partially from the severe physical disability present in chronic HF and partially from COVID-19 restrictions. The overall completion rate was high, at 91%, but some outcomes data were lost because of COVID-19 restrictions, and this loss cannot be excluded as a confounder for the nonsignificant group by time differences. It seems unlikely that missing data accounted for the observed neutral primary and secondary outcomes in the interventions because sensitivity testing using multiple imputations did not alter significantly the comparisons by group and time.

A second limitation was that the adherence rates were less than 90% for some patients randomized to BrainHQ and puzzles and significantly lower for the BrainHQ group, which may have contributed to nonsignificant group-by-time results. Post hoc power analysis using sample sizes of the 3 groups in the per protocol analysis yielded 71.9% power, slightly lower than the planned power of 80% for detecting an effect size of 0.48. Sensitivity testing showed little or no change in primary or secondary outcomes based on dosage, duration of or adherence to the CCT. There were no differences in outcomes based on adherence rates in the intention to treat, per protocol or dose/response analyses. The ideal adherence rate required for efficacious cognitive training varied in past studies, but among samples of healthy older adults, 20 to 40 hours were sufficient.30,31,41,45,61 Despite these results, it remains possible that a higher and more intensive usage of CCT might further improve outcomes in patients with HF. The lower adherence rates for BrainHQ compared with the puzzles intervention may have occurred because BrainHQ is titrated to individual cognitive performance and increases in complexity over time. There were no significant differences in patient satisfaction among the groups at the study’s completion. A third limitation was that the measurement of time spent was by self-report for the computerized puzzles intervention, and the number, difficulty and completion of puzzles worked were not documented. In future studies, these factors need to be addressed actively.

Conclusions

In conclusion, CCT using BrainHQ did not improve delayed recall memory, working memory, IADLs, or HRQL when compared with the computerized crossword puzzles active-control intervention and usual care over 8 months in this sample of patients with HF. However, over time, patients in all 3 groups unexpectedly demonstrated statistically significant and, in the case of HRQL, clinically meaningful improved outcomes beginning at 10 weeks and sustained over 8 months; that was unexpected. Nurse-enhancement interventions, available to all 3 groups, may be an important explanation for the time-dependent effects. Importantly, the findings support the fact that memory and working-memory dysfunction, IADLs, and HRQL do not invariably decline but are amenable to an available intervention. Clinicians caring for patients with HF need to be aware that more than 50% of patients with HF may have memory dysfunction and need assistance in learning and performing IADLs. Patients need to be assessed for memory dysfunction at HF diagnosis and routinely afterwards. Family members should be included in patients’ care to facilitate adequate IADLs. Future studies are needed to examine the most efficacious nurse-enhancement interventions and test them in combination with other cognitive interventions. Further characterization of biomarkers associated with memory dysfunction may provide an independent means of assessing cognitive dysfunction and its changes with efficacious therapies.

Acknowledgments

We acknowledge Elham Algashgari, MSN, BSN; Maddison Barley, MSN, BSN; Samantha Endean, MA, BA; Mary Heskett, BSN; Judy Kline, BSN; Jia Liu, PhD, BSN; Ellen McAdams, MSW; and Suzanne Wang, BSN, for assistance with recruitment, intervention delivery, and data collection. We acknowledge William J. Gill, MD, Richard J. Kovacs, MD, and Nathan D. Lambert, MD, Indiana University School of Medicine, Krannert Institute of Cardiology, for assistance with recruitment and data collection. We acknowledge Milton L. Pressler, MD, who provided editorial input.

This study was supported by the National Institute of Nursing Research R01 NR016116 and Center for Enhancing Quality of Life in Chronic Illness, Indiana University School of Nursing. Serum BDNF analyte measures were completed by the Translation Core within the Center for Diabetes and Metabolic Diseases at Indiana University School of Medicine (P30DK097512).

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