What is your patient's cognitive profile? Three distinct subgroups of cognitive function in persons with heart failure

The Real-World Usability, Feasibility, and Performance Distributions of Deploying a Digital Toolbox of Computerized Assessments to Remotely Evaluate Brain Health: Development and Usability Study

BACKGROUND

An ongoing global challenge is managing brain health and understanding how performance changes across the lifespan.

OBJECTIVE

We developed and deployed a set of self-administrable, computerized assessments designed to measure key indexes of brain health across the visual and auditory sensory modalities. In this pilot study, we evaluated the usability, feasibility, and performance distributions of the assessments in a home-based, real-world setting without supervision.

METHODS

Potential participants were untrained users who self-registered on an existing brain training app called BrainHQ. Participants were contacted via a recruitment email and registered remotely to complete a demographics questionnaire and 29 unique assessments on their personal devices. We examined participant engagement, descriptive and psychometric properties of the assessments, associations between performance and self-reported demographic variables, cognitive profiles, and factor loadings.

RESULTS

Of the 365,782 potential participants contacted via a recruitment email, 414 (0.11%) registered, of whom 367 (88.6%) completed at least one assessment and 104 (25.1%) completed all 29 assessments. Registered participants were, on average, aged 63.6 (SD 14.8; range 13-107) years, mostly female (265/414, 64%), educated (329/414, 79.5% with a degree), and White (349/414, 84.3% White and 48/414, 11.6% people of color). A total of 72% (21/29) of the assessments showed no ceiling or floor effects or had easily modifiable score bounds to eliminate these effects. When correlating performance with self-reported demographic variables, 72% (21/29) of the assessments were sensitive to age, 72% (21/29) of the assessments were insensitive to gender, 93% (27/29) of the assessments were insensitive to race and ethnicity, and 93% (27/29) of the assessments were insensitive to education-based differences. Assessments were brief, with a mean duration of 3 (SD 1.0) minutes per task. The pattern of performance across the assessments revealed distinctive cognitive profiles and loaded onto 4 independent factors.

CONCLUSIONS

The assessments were both usable and feasible and warrant a full normative study. A digital toolbox of scalable and self-administrable assessments that can evaluate brain health at a glance (and longitudinally) may lead to novel future applications across clinical trials, diagnostics, and performance optimization.

Latent profile analysis of data from the brief inventory of neurocognitive impairment (BINI) to develop neuro-cognitive profiles among opioid-dependent patients in drug treatment

BACKGROUND

Neurocognitive dysfunction is common among individuals with opioid use disorders (OUD) and can impede a range of treatment outcomes. We developed the 57-item Brief Inventory of Neuro-cognitive Impairment (BINI) to help detect and monitor neurocognitive dysfunction in the context of drug treatment settings. To date, no study has examined the possible presence of BINI subgroups among OUD patients, which could enhance our ability to tailor intervention strategies to meet individual treatment needs. The purpose of this study was to conduct a latent profile analysis to identify BINI subgroups that differ in terms of their reported and objective neurocognitive dysfunction. We hypothesized that subgroups would emerge, suggesting the potential benefit of implementing tailored strategies for optimal treatment outcomes.

METHODS

Latent profile analyses included data from opioid-dependent patients (N = 177) enrolled in a methadone maintenance treatment program between July 2018 and October 2019.

RESULTS

We found three profiles of self-reported neurocognitive symptoms, including those with 1) minimal concerns 2) moderate concerns, and 3) many concerns across multiple domains.

CONCLUSIONS

If these results are confirmed, the BINI may be used to rapidly identify persons who require specific accommodation strategies to improve their drug treatment outcomes.

Cognitive profiles in persons with opioid use disorder enrolled in methadone treatment

Cognitive impairment is common in persons with opioid use disorder and associated with poor treatment outcomes, including elevated risk for relapse. Much less is known about the underlying structure of these deficits and the possible presence of cognitive phenotypes. A total of 177 adults (average 42.2 years of age, 52.0% male, 65.5% Caucasian) enrolled in a methadone maintenance treatment program completed the NIH Toolbox as part of a larger project. Cluster analyses revealed a 2-cluster solution-persons with intact cognitive function in all domains (n = 93; Intact) and those with impairments on tests of attention and executive function (n = 83; Impaired). Follow-up analyses revealed that the Impaired group was slightly older, more likely to self-identify as a racial/ethnic minority, and less likely to report consuming alcohol four or more times per week. These findings suggest the existence of distinct cognitive profiles in persons with opioid use disorder and encourage further examination, particularly studies to examine the possible benefits of routine screening for cognitive impairment as part of substance use treatment.

Examination of attention, executive function, and memory as predictors of mortality risk in adults with systolic heart failure

BACKGROUND

The prevalence and impact of cognitive impairment in heart failure is increasingly recognized. Converging evidence points to global cognitive function as predictive of prognosis in adults with heart failure when assessed with screening tools. Additional work is needed to understand which domains of cognitive function are most relevant for prognosis.

AIMS

The present study sought to examine associations between domains of cognitive function and mortality risk in adults with heart failure.

METHODS

In the present prospective, observational cohort study, global cognitive function, attention, executive function, and memory were assessed by means of a comprehensive neuropsychogical battery in adults with systolic heart failure. Mortality data were obtained from the National Death Index (median follow-up 2.95 years). Relationships among each cognitive domain and mortality were assessed with Cox regression. Covariates included age, sex, heart failure severity, comorbidity and depressive symptoms.

RESULTS

Participants were 325 patients with systolic heart failure with a mean age of 68.6 years (59% men, 73% Caucasian). Following covariate adjustment, better global cognitive function, attention, and executive function were related to decreased mortality risk.

CONCLUSIONS

Future research is needed to clarify the underlying mechanisms of the association between cognitive impairment and mortality.

Sleep quality and daytime sleepiness are not associated with cognition in heart failure

BACKGROUND

Individuals with heart failure (HF) exhibit comorbid impairments in both sleep and cognitive performance. Sleep quality has been associated with impaired cognitive performance in HF patients, but reports are inconsistent. In this study, we examined associations between sleep quality, daytime sleepiness, and cognitive function in HF.

METHODS AND RESULTS

Participants were 267 (age = 69.1 ± 9.3) mostly Caucasian (74.9%), male (59.6%) stable HF patients recruited from outpatient settings. This cross-sectional study was a secondary analysis of a prospective observational study. Cognitive function domains assessed included: global cognitive function, attention, memory, and executive function. Sleep quality and daytime sleepiness were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS), respectively. Separate multiple hierarchical linear regressions were conducted to determine associations between cognitive function and sleep quality and daytime sleepiness, after controlling for sex, New York Heart Association (NYHA) class, education, depressive symptoms, and medical comorbidities. Cognitive function was not associated with sleep quality or daytime sleepiness after alpha inflation corrections were applied.

CONCLUSIONS

Cognitive function in HF is not associated with sleep quality or daytime sleepiness; other factors may exert greater influence on cognitive performance.

Detecting and Managing Cognitive Impairment to Improve Engagement in Heart Failure Self-Care

PURPOSE OF THE REVIEW

The purpose of this review was to examine the recent literature on detecting cognitive impairment in patients with heart failure (HF) and the evidence indicating any ramifications of cognitive impairment on patient engagement in HF self-care.

RECENT FINDINGS

Mild cognitive impairment (MCI) is common in HF and impacts on patients' engagement in self-care, yet it is frequently not detected. The use of screening tools, even when brief, improves detection of MCI. However, the most sensitive, specific and feasible screening measure to use in practice is yet to be identified. A full neuropsychological assessment is required to determine a diagnosis of cognitive impairment and to identify the specific areas of cognitive deficit. In patients with HF, there appears to be differing clusters of cognitive deficits. Identification of these deficits may help inform the application of specific cognitive training strategies to ameliorating cognitive changes in HF patients and potentially enhance engagement in self-care. Screening for cognitive impairment is crucial in the management of HF patients to ensure that potential self-care deficits are prevented. The optimal screening tool is yet to be identified.

Repeated recall as an intervention to improve memory performance in heart failure patients

Background:

Up to 50% of heart failure patients demonstrate aspects of cognitive impairment, including memory deficit. Novel interventions are needed to address memory deficit among heart failure patients.

Aim:

The goal of this study was to evaluate the testing effect as an intervention to improve memory performance in heart failure patients.

Methods:

This was a randomized controlled clinical trial ( N=84) comparing the memory performance of heart failure patients with and without mild cognitive impairment after a repeated testing intervention. Memory performance was measured by verbal word pair associates recall scores, between attention control and experimental subjects.

Results:

Patients had a mean age of 71.7 ± 13.3 years and similar baseline memory (immediate p=.79 and delayed p=.47). Overall, there were no significant differences in memory between experimental and control subjects, respectively (67.2±18.87 vs. 61.9±22.3, verbal word pair associates, t = −1.179, p=.24). In the final hierarchical regression model, age ( p=.018) and education ( p=.006) were significant predictors of memory performance, with the intervention approaching significance ( p=.079).

Conclusions:

Although not statistically significant, the intervention group reported better memory. Age and education continue to be significant contributors to memory performance in the heart failure population. Continued development of interventions to improve memory performance in heart failure patients is indicated.

Cardiorespiratory instability in monitored step-down unit patients: using cluster analysis to identify patterns of change

Cardiorespiratory instability (CRI) in monitored step-down unit (SDU) patients has a variety of etiologies, and likely manifests in patterns of vital signs (VS) changes. We explored use of clustering techniques to identify patterns in the initial CRI epoch (CRI₁; first exceedances of VS beyond stability thresholds after SDU admission) of unstable patients, and inter-cluster differences in admission characteristics and outcomes. Continuous noninvasive monitoring of heart rate (HR), respiratory rate (RR), and pulse oximetry (SpO₂) were sampled at 1/20 Hz. We identified CRI₁ in 165 patients, employed hierarchical and k-means clustering, tested several clustering solutions, used 10-fold cross validation to establish the best solution and assessed inter-cluster differences in admission characteristics and outcomes. Three clusters (C) were derived: C1) normal/high HR and RR, normal SpO₂ (n = 30); C2) normal HR and RR, low SpO₂ (n = 103); and C3) low/normal HR, low RR and normal SpO₂ (n = 32). Clusters were significantly different based on age (p < 0.001; older patients in C2), number of comorbidities (p = 0.008; more C2 patients had ≥ 2) and hospital length of stay (p = 0.006; C1 patients stayed longer). There were no between-cluster differences in SDU length of stay, or mortality. Three different clusters of VS presentations for CRI₁ were identified. Clusters varied on age, number of comorbidities and hospital length of stay. Future study is needed to determine if there are common physiologic underpinnings of VS clusters which might inform clinical decision-making when CRI first manifests.