Depressive Symptoms are Associated with Heart Rate Variability Independently of Fitness: A Cross-Sectional Study of Patients with Heart Failure.

BACKGROUND: Depression is associated with reduced heart rate variability (HRV) in healthy and cardiac samples, which may be accounted for by physical fitness. In a small sample of cardiac patients, activity and fitness levels attenuated the relationship between HRV and depression. In the current study of heart failure (HF) patients, we hypothesized that depressive symptoms and HRV would be inversely related and physical fitness would attenuate this association. PURPOSE: To determine if previous associations among depressive symptoms, physical fitness, and HRV would replicate in a sample of HF patients. METHODS: The sample consisted of HF patients (N = 125) aged 68.55 ± 8.92 years, 68.8% male, and 83.2% Caucasian. The study was cross-sectional and a secondary analysis of a nonrandomized clinical trial (Trial Identifier: NCT00871897). Depressive symptoms were evaluated using the Beck Depression Inventory (BDI)-II, fitness with the 2 min step test (2MST), and HRV during a 10 min resting laboratory psychophysiology protocol. The dependent variable in hierarchical linear regressions was the root mean square of successive differences. RESULTS: Controlling for sex, age, ß-blocker use, hypertension, and diabetes, higher BDI-II scores significantly predicted lower HRV, ß = -.29, t(92) = -2.79, p < .01. Adding 2MST did not attenuate the relationship in a follow-up regression. CONCLUSION: Depressive symptoms were associated with lower HRV in HF patients, independent of physical fitness. Given the prevalence of depression and suppressed HRV common among HF patients, interventions addressing depressive symptoms and other predictors of poor outcomes may be warranted.

Depressive symptoms moderate the relationship between medication regimen complexity and objectively measured medication adherence in adults with heart failure.

Patients with heart failure (HF) take many medications to manage their HF and comorbidities, and 20-50% experience depression. Depressed individuals with more complex medication regimens may be at greater risk for poor adherence. The aim of this study was to assess depressive symptoms as a moderator of the relationship between medication regimen complexity and medication adherence in an observational study of patients with HF. In hierarchical linear regression with the final sample of 299, the interaction of medication regimen complexity and depressive symptoms predicted medication adherence, p < .05. For individuals with higher levels of depressive symptoms [1 standard deviation (SD) above the mean], more regimen complexity was associated with lower adherence. For individuals with low (1 SD below the mean) or average levels of depressive symptoms, regimen complexity was unrelated to medication adherence. Care management strategies, including pillboxes and caregiver involvement, may be valuable in HF patients with depression.

Cognitive Function Predicts Risk for Clinically Significant Weight Gain in Adults With Heart Failure.

BACKGROUND: Few investigators have examined whether cognitive deficits predict poorer self-care of weight management recommendations and weight gain in adults with heart failure. OBJECTIVE: The purposes of this study were (1) to examine whether cognition is associated with adherence to daily weighing and weight gain incidence and (2) to explore self-reported symptom perception and management when a weight increase occurs. METHODS: In this observational study, participants completed neuropsychological testing, were given an electronic scale, and were instructed to record their weight for 21 days. Data for 301 participants were collected at baseline and 3 weeks after weight monitoring. RESULTS: At baseline, only 35% of the enrolled respondents knew when to call their physician for increased weight gain, and 37% of the analyzed sample (n = 110/301) experienced a clinically significant weight gain. Regressions tested whether baseline attention, executive function, or memory predicted adherence to daily weighing and the likelihood of weight gain incidence. In unadjusted and adjusted covariate analyses, none of the cognitive domains predicted adherence to daily weighing (P ≥ .375); however, all 3 cognitive domains predicted an increased risk of a clinically significant weight gain (P ≤ .05). Importantly, 65% of participants with a weight gain did not identify this symptom on self-report questions. CONCLUSIONS: Although cognitive deficits are not associated with adherence to daily weighing, adults with cognitive deficits may be at an increased risk for experiencing a clinically significant weight gain, and most do not perceive symptoms. CLINICAL IMPLICATIONS: Adults with heart failure require more than directions on self-care related to weight monitoring.

Cognitive Function Does Not Impact Self-reported Health-Related Quality of Life in Heart Failure Patients.

BACKGROUND: Adults with heart failure (HF) often demonstrate impairment across multiple domains of cognitive functioning and report poor health-related quality of life (HRQoL). Previous researchers have found that cognitive deficits were generally not associated with HRQoL in a carefully evaluated sample. The exception was memory, which was only weakly associated with HRQoL. However, cognitive deficits interfere with self-care and disease self-management, which could be expected to affect HRQoL. OBJECTIVE: We sought to verify this counterintuitive finding in a large well-characterized sample of HF patients using a well-validated neuropsychological battery. METHODS: Participants were 302 adults (63% male) predominately white (72.5%) HF patients (68.7 ± 9.6 years) recruited from 2 medical centers. Self-reported HRQoL was assessed using the Kansas City Cardiomyopathy Questionnaire. Participants completed a neuropsychological battery examining attention, executive function, memory, and visuospatial functioning. Hierarchical multiple linear regression was used for analyses. RESULTS: Mild global cognitive impairment was observed in 29.5% of the sample (Modified Mini-Mental State [3MS] Examination score <90). Controlling for gender, depression, HF severity, premorbid IQ, comorbidities, and education, only executive function predicted HRQoL, ß = .17, P < .05. However, executive function accounted for only 0.6% of the variance in HRQoL. CONCLUSION: Cognitive function generally did not predict HRQoL in HF patients. The correlates of HRQoL in HF do not appear to include mild cognitive impairment. Other factors may play a bigger role such as disease severity, age, and depressive symptoms. Future studies should investigate modifiable determinants of HRQoL in HF patients, toward the goal of finding interventions that preserve HRQoL during this chronic illness.

Cognitive Function in Heart Failure Is Associated With Nonsomatic Symptoms of Depression But Not Somatic Symptoms.

BACKGROUND: Patients with heart failure (HF) have high rates of cognitive impairment and depressive symptoms. Depressive symptoms have been associated with greater cognitive impairments in HF; however, it is not known whether particular clusters of depressive symptoms are more detrimental to cognition than others. OBJECTIVE: The aim of this study was to identify whether somatic and/or nonsomatic depressive symptom clusters were associated with cognitive function in persons with HF. METHODS: Participants were 326 HF patients (40.5% women, 26.7% non-white race-ethnicity, aged 68.6 ± 9.7 years). Depressive symptoms were measured using a depression questionnaire commonly used in medical populations: the Patient Health Questionnaire-9. Somatic and nonsomatic subscale scores were created using previous factor analytic results. A neuropsychological battery tested attention, executive function, and memory. Composites were created using averages of age-adjusted scaled scores. Regressions adjusting for demographic and clinical factors were conducted. RESULTS: Regressions revealed that Patient Health Questionnaire-9 total was associated with attention (ß = -.14, P = .008) and executive function (ß = -.17, P = .001). When analyzed separately, the nonsomatic subscale, but not the somatic symptoms subscale (P values ≥ .092), was associated with attention scores (ß = -.15, P = .004) and memory (ß = -.11, P = .044). Both nonsomatic (ß = -.18, P < .001) and somatic (ß = -.11, P = .048) symptoms were related to executive function. When included together, only the nonsomatic symptom cluster was associated with attention (ß = -.15, P = .020) and executive function (ß = -.19, P = .003). CONCLUSIONS: Greater overall depressive symptom severity was associated with poorer performance on multiple cognitive domains, an effect driven primarily by the nonsomatic symptoms of depression. CLINICAL IMPLICATIONS: These findings suggest that screening explicitly for nonsomatic depressive symptoms may be warranted and that the mechanisms underlying the depression-cognitive function relationship in HF are not solely related to sleep or appetite disturbance. Thus, interventions that target patients' somatic symptoms only (eg, poor appetite or fatigue) may not yield maximum cognitive benefit compared with a comprehensive treatment that targets depressed mood, anhedonia, and other nonsomatic symptoms.

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

PURPOSE: The aim of this study was to determine whether patients with heart failure (HF) have distinct profiles of cognitive impairment. BACKGROUND: Cognitive impairment is common in HF. Recent work found three cognitive profiles in HF patients-(1) intact, (2) impaired, and (3) memory-impaired. We examined the reproducibility of these profiles and clarified mechanisms. METHODS: HF patients (68.6 ± 9.7 years; N=329) completed neuropsychological testing. Composite scores were created for cognitive domains and used to identify clusters via agglomerative-hierarchical cluster analysis. RESULTS: A 3-cluster solution emerged. Cluster 1 (n=109) had intact cognition. Cluster 2 (n=123) was impaired across all domains. Cluster 3 (n=97) had impaired memory only. Clusters differed in age, race, education, SES, IQ, BMI, and diabetes (ps ≤ .026) but not in mood, anxiety, cardiovascular, or pulmonary disease (ps ≥ .118). CONCLUSIONS: We replicated three distinct patterns of cognitive function in persons with HF. These profiles may help providers offer tailored care to patients with different cognitive and clinical needs.

Greater body mass index is associated with poorer cognitive functioning in male heart failure patients.

BACKGROUND: Heart failure (HF) and obesity are associated with cognitive impairment. However, few studies have investigated the relationship between adiposity and cognitive functioning in HF for each sex, despite observed sex differences in HF prognosis. We tested the hypothesis that greater body mass index (BMI) would be associated with poorer cognitive functioning, especially in men, in sex-stratified analyses. METHODS AND RESULTS: Participants were 231 HF patients (34% female, 24% nonwhite, average age 68.7 ± 7.3 years). Height and weight were used to compute BMI. A neuropsychology battery tested global cognitive function, memory, attention, and executive function. Composites were created using averages of age-adjusted scaled scores. Regressions adjusting for demographic and medical factors were conducted. The sample was predominantly overweight/obese (76.2%). For men, greater BMI predicted poorer attention (ΔR(2) = 0.03; ß = -0.18; P = .01) and executive function (ΔR(2) = 0.02; ß = -0.13; P = .04); these effects were largely driven by men with severe obesity (BMI ≥40 kg/m(2)). BMI did not predict memory (P = .69) or global cognitive functioning (P = .08). In women, greater BMI was not associated with any cognitive variable (all P ≥ .09). DISCUSSION: Higher BMI was associated with poorer attention and executive function in male HF patients, especially those with severe obesity. These patients may therefore have more difficulties with the HF treatment regimen and may have poorer outcomes.

The impact of medication nonadherence on the relationship between mortality risk and depression in heart failure.

OBJECTIVE: Heart failure affects more than 5 million U.S. adults, and approximately 20% of individuals with heart failure experience depressive symptoms. Depression is detrimental to prognosis in heart failure, conferring approximately a 2-fold increase in mortality risk. Medication nonadherence may help explain this relationship because depressed patients are less likely to adhere to the medication regimen. METHOD: Depression, electronically monitored medication adherence, and mortality were measured in a sample of 308 patients with heart failure participating in a study of self-management behavior. Cardiovascular and all-cause mortality data were obtained from the Centers for Disease Control and Prevention's National Death Index (median 2.9-year follow-up). Cox proportional hazards regression was used to assess the relationship between depression and mortality, with and without adjustment for age, gender, disease severity, and medication nonadherence. RESULTS: In adjusted analyses, depression was associated with an increased all-cause mortality risk (hazard ratio 1.87; 95% confidence interval 1.04-3.37). Depression was not related to cardiovascular mortality, potentially because of a low number of cardiac-related deaths. When medication nonadherence was added to the model, nonadherence (hazard ratio 1.01; 95% confidence interval 1.004-1.02), but not depression, predicted all-cause mortality risk. CONCLUSIONS: Depressive symptoms confer increased all-cause mortality risk in heart failure, and medication nonadherence contributes to this relationship. Depression and nonadherence represent potentially modifiable risk factors for poor prognosis. Future research is needed to understand whether interventions that concomitantly target these factors can improve outcomes. (PsycINFO Database Record

Cognitive function and health literacy are independently associated with heart failure knowledge.

OBJECTIVES: Determine the relationship between cognitive function and health literacy in heart failure (HF) knowledge in patients with HF. BACKGROUND: HF requires extensive, complex treatment; thus, cognition and health literacy may contribute to understanding and self-management of HF. METHODS: Participants were 330 HF outpatients. Health literacy was assessed using the Medical Term Recognition Test and the Rapid Estimate of Adult Literacy in Medicine. Global cognitive function was screened with the Modified Mini-Mental Status Examination. HF knowledge was assessed with the Dutch Heart Failure Knowledge Scale (DHFKS). RESULTS: Health literacy (ß = .26, p < .001) and cognition (ß = .36, p < .001) were related to DHFKS. Both scores were independently associated with DHFKS (health literacy: ß = .13, p = .044 and cognition: ß = .30, p < .001). CONCLUSIONS: Impairments in health literacy and cognition were independently associated with reduced HF knowledge. Interventions should address both factors to be maximally effective.

Association Between Poorer Cognitive Function and Reduced Objectively Monitored Medication Adherence in Patients With Heart Failure.

BACKGROUND: Subclinical cognitive impairment is prevalent in heart failure (HF); however, its role in important clinical outcomes, such as HF treatment adherence, is unclear. Given the complex polypharmacy in HF treatment, cognitive deficits may be important in predicting medication management. Thus, the objective of the current study was to examine the impact of cognitive function on medication adherence among community-dwelling patients with HF using objective assessments. METHODS AND RESULTS: A prospective observational cohort design of 309 community-dwelling patients with HF (59.7% male, 68.7±9.7 years) and no history of dementia or neurological disease. Cognition was assessed using a neuropsychological battery at baseline. Medication adherence was objectively measured for 21 days using an electronic pillbox. Regression analyses tested whether attention, executive function, or memory predicted 21-day medication adherence. In unadjusted analyses, lower scores on all 3 cognitive domains predicted poorer medication adherence (ß=0.52-85; P=0.001-0.009). After adjusting for demographic, clinical, and psychosocial variables, memory continued to predict medication adherence (ß=0.51; P=0.008), whereas executive function (ß=0.24; P=0.075) and attention were no longer a predictor (ß=0.34; P=0.131). CONCLUSIONS: Poorer cognitive function, especially in regard to memory, predicted reduced medication adherence among patients with HF and no history of dementia. This effect remained after adjustment for factors known to predict adherence, such as depressed mood, social support, and disease severity level. Future studies should examine the link from cognitive impairment and medication nonadherence to clinical outcomes (eg, hospitalization and mortality). CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT01461629.

The association between cognitive function and objective adherence to dietary sodium guidelines in patients with heart failure.

BACKGROUND: Although cognitive impairment is common in heart failure (HF) patients, its effects on sodium adherence recommendations are unknown. PURPOSE: Our aim is to examine if cognitive function is associated with patient sodium adherence. METHODS: Sodium collection/excretion and cognitive function were assessed for 339 HF patients over a 5-8-week period. Neuropsychological testing was performed at baseline (Visit 1), whereas two 24-hour urine samples were collected within 7 weeks postbaseline. The ability to collect two 24-hour urine samples and the estimation of sodium excretion levels from these samples were used to estimate sodium adherence recommendations. RESULTS: Nearly half (47%) of the study participants (n=159) were unable to give two valid 24-hour urine samples. Participants who were unable to adhere to two valid 24-hour urine samples had significantly poorer attention and global cognition tests (P<0.044), with a trend for poorer executive function (P=0.064). Among those with valid samples, urine sodium level was not associated with global cognitive function, attention, executive function, or memory after adjusting for covariates. Female sex was associated with lower sodium excretion (all P<0.01); individuals with knowledge of sodium guidelines had less intake of sodium, resulting in excretion of less sodium (all P≤0.03). Conversely, higher socioeconomic status (SES) and body mass index (BMI) were associated with greater sodium (all P≤0.02 and P≤0.01). CONCLUSION: Adherence to urine sodium collection was poor, especially among those with poorer cognitive function. Sodium consumption exceeded recommended amounts and was unrelated to cognitive function. Interventions for improving sodium adherence should focus on at-risk groups (high SES and BMI) and at improving knowledge of recommended salt intake.

Depressive symptoms are associated with obesity in adults with heart failure: An analysis of gender differences.

BACKGROUND: Depression is a predictor and consequence of obesity in the general population. Up to 50% of patients with heart failure exhibit elevated depressive symptoms or depressive disorders; however, research on the depression-obesity relationship in heart failure populations is limited, especially in regard to gender differences. AIMS: To conduct total-sample and gender-stratified analyses to determine whether depressive symptoms are associated with body mass index (BMI) in a sample of patients with heart failure. METHOD: Participants were 348 (39% female, 26% non-White) patients with heart failure (aged 68.7±9.7 years) recruited from urban medical centers. Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9). Height and weight were used to compute BMI (kg/m(2)). Regressions were performed for total sample and both genders. Regressions for BMI were run with demographic, medical, and psychological covariates in Step 1 and the PHQ-9 in Step 2. RESULTS: Regression results (total sample) revealed that the PHQ-9 was associated with BMI after adjusting for covariates (ß=.22, p=.004). For males, the relationship between PHQ-9 and BMI remained (ß=.23, p=.024) and was driven by those with severe obesity (BMI ≥ 40 kg/m(2)). A trend between PHQ-9 and BMI was detected among females (ß=.19, p=.091). CONCLUSION: BMI is related to depressive symptoms in adults with heart failure even after adjusting for demographic and medical covariates. Depressive symptoms were associated with BMI in males, whereas a trend was detected among females. These findings could ultimately be used to improve heart failure outcomes for depressed, obese individuals with heart failure.

The MoCA and MMSE as screeners for cognitive impairment in a heart failure population: a study with comprehensive neuropsychological testing.

OBJECTIVE: To examine the ability of the Mini Mental Status Examination (MMSE) and Montreal Cognitive Assessment (MoCA) to detect cognitive impairment in persons with heart failure (HF). BACKGROUND: Although the MMSE and MoCA are commonly used screeners in HF, no research team has validated their performance against neuropsychological testing. METHODS: Participants were 106 patients with HF (49.1% male, 68.13 ± 9.82 years) who completed the MoCA, MMSE, and a full neuropsychological battery. Sensitivity and specificity were examined. Discriminant function analyses tested whether the screeners correctly detected cognitive impairment. RESULTS: A MoCA score <25 and MMSE score of <28 yielded optimal sensitivity/specificity (.64/.66 and .70/.66, respectively). The MoCA correctly classified 65% of patients, Wilk's lambda = .91, χ(2)(1) = 9.89, p < .01, and the MMSE correctly classified 68%, Wilk's lambda = .87, χ(2)(1) = 14.26, p < .001. CONCLUSIONS: In HF, both the MoCA and MMSE are useful in identifying the majority of patients with and without cognitive impairment. Both tests misclassified approximately one-third of patients, so continued monitoring and evaluation of patients is needed in conjunction with screening.

Randomized controlled feasibility trial of two telemedicine medication reminder systems for older adults with heart failure.

We conducted a feasibility study of a telehealth intervention (an electronic pill box) and an m-health intervention (an app on a smartphone) for improving medication adherence in older adults with heart failure. A secondary aim was to compare patient acceptance of the devices. The participants were 60 adults with HF (65% male). Their average age was 69 years and 83% were Caucasian. Patients were randomized using a 2 × 2 design to one of four groups: pillbox silent, pillbox reminding, smartphone silent, smartphone reminding. We examined adherence to 4 medications over 28 days. The overall adherence rate was 78% (SD 35). People with the telehealth device adhered 80% of the time and people with the smartphone adhered 76% of the time. Those who received reminders adhered 79% of the time, and those with passive medication reminder devices adhered 78% of the time, i.e. reminding did not improve adherence. Patients preferred the m-health approach. Future interventions may need to address other contributors to poor adherence such as motivation.