Somatic Symptoms Explain Differences in Psychological Distress in Heart Failure Patients vs a Comparison Group

Daytime symptom trajectories among adults with stable heart failure and insomnia: evidence from a randomised controlled trial of cognitive behavioural therapy for insomnia

People with heart failure (HF) experience a high symptom burden and prevalent insomnia. However, little is known about daytime symptom trajectories after cognitive behavioural therapy for insomnia (CBT-I). In this study we describe: (1) daytime symptom trajectories among adults with insomnia and stable HF over 1 year, (2) how symptom trajectories differ between CBT-I versus HF self-management interventions, and (3) associations between demographic, clinical, and sleep characteristics, perceived stress, health-related quality of life (HRQoL), functional performance and daytime symptoms trajectories. We retrospectively analysed data from a randomised controlled trial of CBT-I versus HF self-management (NCT0266038). We measured sleep, perceived stress, HRQoL, and functional performance at baseline and symptoms at baseline, 3, 6, and 12 months. We conducted group-based trajectory modelling, analysis of variance, chi-square, and proportional odds models. Among 175 participants (mean [standard deviation] age 63.0 [12.9] years, 57.1% male, 76% White), we found four daytime symptom trajectories: (A) low improving symptoms (38.3%); (B) low psychological symptoms and high improving physical symptoms (22.8%); (C) high improving symptoms (24.0%); and (D) high not improving symptoms (14.9%). The CBT-I versus the HF self-management group had higher odds of belonging to Group A compared to other trajectories after controlling for baseline fatigue (odds ratio = 3.27, 95% confidence interval 1.39-7.68). The difference between the CBT-I and the HF self-management group was not statistically significant after controlling for baseline characteristics. Group D had the highest body mass index, perceived stress, and insomnia severity and the lowest cognitive ability, HRQoL, and functional performance. Research is needed to further evaluate factors contributing to symptom trajectories.

Association between Psychiatric Disorders and the Incidence of Heart Failure in Women

BACKGROUND

Depression and anxiety occur more frequently in women and are associated with an increased risk of cardiovascular disease.

OBJECTIVES

Data on the association between these psychiatric conditions and the incidence of acute heart failure (HF) and how they influence heart failure outcomes in women are lacking. We investigated this potential relationship using data from the National Inpatient Sample.

METHODS

We used ICD-10 codes to extract encounters for acute heart failure and/or the acute exacerbation of chronic heart failure, anxiety, and depression from the discharge data of the NIS from 2019 to 2020. We compared baseline characteristics and length of stay (LOS), cost of care (COC) and acute HF by depression/anxiety status for males and females and employed regression models to assess the influence of these psychiatric conditions on the outcomes.

RESULTS

There were 6,394,136 encounters involving females, which represented 56.6% of the sample. The prevalence of depression and anxiety were 15.7% and 16.8%, respectively. Among females, the occurrence of acute CHF did not differ by depression or anxiety status. However, Takostubo cardiomyopathy was more prevalent in those with depression (0.3% vs. 0.2%, p = 0.003) and anxiety (0.3% vs. 0.2%, p = 0.03) compared to those without these conditions. Among those with depression, LOS was significantly longer (3 days IQR: 2-6, vs. 3 days IQR:2-5 days, p < 0.001). The COC was USD 1481 more in patients with depression. On the contrary, LOS and COC were significantly lower in those without anxiety.

CONCLUSIONS

Depression was associated with an increased LOS among both men and women and an increased cost of care among women. Anxiety was associated with a decreased LOS and cost of care among women, which may be related to an increased rate of against medical advice (AMA) discharges among this population. Further research is necessary to identify optimal management strategies for depression and anxiety among patients hospitalized with HF.

Associations of multidimensional fatigue with the physical, psychological, and situational factors in outpatients with heart failure: a cross-sectional study

AIMS

Fatigue, a distressing symptom in patients with heart failure (HF), is associated with progress and health outcomes. Fatigue has been identified as having multidimensions, but a few studies have used a multidimensional fatigue scale. Many factors related to HF, including physical, psychological, and situational factors, may impact fatigue. However, there is limited knowledge about how these HF-related factors are associated with multidimensional fatigue in outpatients with HF in Japan. The aim of this study was to identify HF-related factors [physical; clinical characteristics, New York Heart Association (NYHA) functional class and physical function, psychological; depressive symptoms and anxiety, situational; health literacy and perceived control] associated with the five dimensions of fatigue in outpatients with HF.

METHODS AND RESULTS

Outpatients with HF (N = 165, mean age = 69.5 years, 78.8% male) completed the survey and physical assessment of gait speed. Fatigue was assessed using five dimensions of the Multidimensional Fatigue Inventory-20. Multiple linear regression analysis was conducted for each dimension of fatigue. General fatigue was predicted by age, NYHA, and perceived control. Physical fatigue was predicted by NYHA, depressive symptoms, and perceived control. Reduced activity was predicted by NYHA, gait speed, depressive symptoms, communicative health literacy, and critical health literacy. The reduced motivation was predicted by depressive symptoms and perceived control. Mental fatigue was predicted by depressive symptoms.

CONCLUSION

Different factors were significantly associated with each fatigue dimension. Further research is needed to alleviate fatigue in patients with HF.

Symptom Cluster Profiles Among Adults with Insomnia and Heart Failure

OBJECTIVE/BACKGROUND

Both heart failure (HF) and insomnia are associated with high symptom burden that may be manifested in clustered symptoms. To date, studies of insomnia have focused only on its association with single symptoms. The purposes of this study were to: (1) describe daytime symptom cluster profiles in adults with insomnia and chronic HF; and (2) determine the associations between demographic and clinical characteristics, insomnia and sleep characteristics and membership in symptom cluster profiles.

PARTICIPANTS

One hundred and ninety-five participants [M age 63.0 (SD12.8); 84 (43.1%) male; 148 (75.9%) New York Heart Association Class I/II] from the HeartSleep study (NCT0266038), a randomized controlled trial of the sustained effects of cognitive behavioral therapy for insomnia (CBT-I).

METHODS

We analyzed baseline data, including daytime symptoms (fatigue, pain, anxiety, depression, dyspnea, sleepiness) and insomnia (Insomnia Severity Index), and sleep characteristics (Pittsburgh Sleep Quality Index, wrist actigraphy). We conducted latent class analysis to identify symptom cluster profiles, bivariate associations, and multinomial regression.

RESULTS

We identified three daytime symptom cluster profiles, physical (N = 73 participants; 37.4%), emotional (N = 12; 5.6%), and all-high symptoms (N = 111; 56.4%). Body mass index, beta blockers, and insomnia severity were independently associated with membership in the all-high symptom profile, compared with the other symptom profile groups.

CONCLUSIONS

Higher symptom burden is associated with more severe insomnia in people with stable HF. There is a need to understand whether treatment of insomnia improves symptom burden as reflected in transition from symptom cluster profiles reflecting higher to lower symptom burden.

Sleep Characteristics, Mood, Somatic Symptoms, and Self-Care Among People With Heart Failure and Insomnia

BACKGROUND

Almost 50% of people with heart failure (HF) experience chronic insomnia and must perform self-care to manage their day-to-day healthcare needs. Understanding multifactorial influences on self-care, including demographic, clinical, and sleep characteristics, and mood and somatic symptoms will help identify people at highest risk for poor self-care. However, past research focused only on the associations of single symptoms and self-care. Multivariate approaches are needed to account for the synergistic associations of self-care with sleep, mood, and somatic symptoms among people with HF.

OBJECTIVES

The aims of the study were to (a) evaluate the levels of self-care maintenance and self-care confidence among people with stable HF and chronic insomnia; (b) identify the clinical and demographic correlates of self-care maintenance and confidence among people with stable HF and chronic insomnia; and (c) identify the associations between sleep characteristics, mood and somatic symptoms, and self-care maintenance and confidence among people with stable HF and chronic insomnia.

METHODS

We utilized a cross-sectional design with 195 adult participants who had chronic HF and insomnia. We assessed for symptoms of anxiety; depression; dyspnea; fatigue; stress; insomnia severity; and sleep disturbance, impairment, and quality. Self-care was measured using the Self-Care for Heart Failure Index v6.2. We used generalized linear models to test the associations between the demographic and clinical factors and self-care maintenance and confidence; exploratory and confirmatory factor analysis to identify the factor structure underlying the symptoms; and structural equation modeling to test the combined associations of the demographic and clinical factors and latent factors with self-care maintenance and confidence.

RESULTS

Self-care maintenance, confidence, and management were inadequate in most participants. We identified three latent factors among the nine symptoms: "sleep characteristics," "mood," and "somatic symptoms." In the structural equation model, "sleep characteristics," White race, and having a left ventricular ejection fraction of <45 were associated with self-care maintenance. Age was negatively associated with self-care confidence.

DISCUSSION

Poor sleep characteristics negatively influence the ability of people with HF and insomnia to perform self-care behaviors. Knowledge of the associations among age, left ventricular ejection fraction, and race with self-care will help clinicians and future researchers identify those at risk for poor self-care.

The Three Rs for Preventing Heart Failure Readmission: Review, Reassess, and Reeducate

Despite improvements in heart failure therapies, hospitalization readmission rates remain high. Nationally, increasing attention has been directed toward reducing readmission rates and thus identifying patients with the highest risk for readmission. This article summarizes the evidence related to decreasing readmission for patients with heart failure within 30 days after discharge, focusing on the acute setting. Each patient requires an individualized plan for successful transition from hospital to home and preventing readmission. Nurses must review the patient's current plan of care and adherence to it and look for clues to failure of the plan that could lead to readmission to the hospital. In addition, nurses must reassess the current plan with the patient and family to ensure that the plan continues to meet the patient's needs. Finally, nurses must continually reeducate patients about their plan of care, their plan for self-management, and strategies to prevent hospital readmission for heart failure.

A Systematic Review of Studies Using the Multidimensional Assessment of Fatigue Scale

PURPOSE

To review how the Multidimensional Assessment of Fatigue (MAF) has been used and evaluate its psychometric properties.

METHODS

We conducted a database search using "multidimensional assessment of fatigue" or "MAF" as key terms from 1993 to 2015, and located 102 studies.

RESULTS

Eighty-three were empirical studies and 19 were reviews/evaluations. Research was conducted in 17 countries; 32 diseases were represented. Nine language versions of the MAF were used. The mean of the Global Fatigue Index ranged from 10.9 to 49.4. The MAF was reported to be easy-to-use, had strong reliability and validity, and was used in populations who spoke languages other than English.

CONCLUSION

The MAF is an acceptable assessment tool to measure fatigue and intervention effectiveness in various languages, diseases, and settings across the world.

Effects of Cognitive Behavioral Therapy for Insomnia on Sleep-Related Cognitions Among Patients With Stable Heart Failure

OBJECTIVE/BACKGROUND

Cognitive behavioral therapy for insomnia (CBT-I) improves insomnia and fatigue among chronic heart failure (HF) patients, but the extent to which sleep-related cognitions explain CBT-I outcomes in these patients is unknown. We examined the effects of CBT-I on sleep-related cognitions, associations between changes in sleep-related cognitions and changes in sleep and symptoms after CBT-I, and the extent to which cognitions mediated the effects of CBT-I.

PARTICIPANTS

Stable New York Heart Association Class II-III HF patients (total n = 51; n = 26 or 51.0% women; M age = 59.1 ± 15.1 years).

METHODS

HF patients were randomized in groups to group CBT-I (n = 30) or attention control (HF self-management education, n = 21) and completed actigraphy, the Insomnia Severity Index, Pittsburgh Sleep Quality Index, Dysfunctional Beliefs and Attitudes about Sleep (DBAS) and Sleep Disturbance Questionnaires (SDQ), and self-reported fatigue, depression, anxiety, and sleepiness (baseline, immediately after treatment, six months). We used mixed-effects modeling, mediation analysis with a bootstrapping approach, and Pearson correlations.

RESULTS

There was a statistically significant group × mult time effect on DBAS. DBAS mediated the effects of CBT-I on insomnia severity and partially mediated CBT-I effects on fatigue. Improvements in dysfunctional cognitions were associated with improved sleep quality, insomnia severity, sleep latency and decreased fatigue, depression, and anxiety, with sustained effects at six months.

CONCLUSIONS

Improvement in dysfunctional sleep-related cognitions is an important mechanism for CBT-I effects among HF patients who are especially vulnerable to poor sleep and high symptom burden.

Sleep Disturbance, Daytime Symptoms, and Functional Performance in Patients With Stable Heart Failure: A Mediation Analysis

BACKGROUND

Sleep disturbance is common among patients with heart failure (HF) who also experience symptom burden and poor functional performance.

OBJECTIVE

We evaluated the extent to which sleep-related, daytime symptoms (fatigue, excessive daytime sleepiness, and depressive symptoms) mediate the relationship between sleep disturbance and functional performance among patients with stable HF.

METHODS

We recruited patients with stable HF for this secondary analysis of data from a cross-sectional, observational study. Participants completed unattended ambulatory polysomnography from which the Respiratory Disturbance Index was calculated, along with a Six-Minute Walk Test, questionnaires to elicit sleep disturbance (Pittsburgh Sleep Quality Index, Insomnia Symptoms from the Sleep Habits Questionnaire), daytime symptoms (Center for Epidemiologic Studies Depression Scale, Global Fatigue Index, Epworth Sleepiness Scale), and self-reported functional performance (Medical Outcomes Study SF36 V2 Physical Function Scale). We used structural equation modeling with latent variables for the key analysis. Follow-up, exploratory regression analysis with bootstrapped samples was used to examine the extent to which individual daytime symptoms mediated effects of sleep disturbance on functional performance after controlling for clinical and demographic covariates.

RESULTS

The sample included 173 New York Heart Association Class I-IV HF patients (n = 60/34.7% women; M = 60.7, SD = 16.07 years of age). Daytime symptoms mediated the relationship between sleep disturbance and functional performance. Fatigue and depression mediated the relationship between insomnia symptoms and self-reported functional performance, whereas fatigue and sleepiness mediated the relationship between sleep quality and functional performance. Sleepiness mediated the relationship between the respiratory index and self-reported functional performance only in people who did not report insomnia.

CONCLUSIONS

Daytime symptoms explain the relationships between sleep disturbance and functional performance in stable HF.

The Family Experience of Fatigue in Heart Failure

Fatigue is a symptom experienced almost universally by people living with a chronic illness. People diagnosed with heart failure have described experiencing significant levels of fatigue. The family experience of fatigue, that is, how families perceive, respond to, and manage fatigue, is unknown. Semistructured family group interviews with 22 families ( N = 62 family members) were conducted. Thematic analysis was undertaken to explore the family experience of fatigue. Fatigue was described as a significant symptom that affected physical, emotional, and social functioning at a family level. Fatigue was described as difficult to manage, and while most family members interviewed had developed a shared understanding of fatigue, some family members found acceptance of this invisible symptom more difficult. Spouses were more likely to express concern that fatigue, and especially increased fatigue, represented a decline in health. The study highlighted the importance of a shared understanding of fatigue from a family perspective.

Cognitive behavioral therapy for insomnia in stable heart failure: Protocol for a randomized controlled trial

BACKGROUND

Chronic insomnia is associated with disabling symptoms and decrements in functional performance. It may contribute to the development of heart failure (HF) and incident mortality. In our previous work, cognitive-behavioral therapy for insomnia (CBT-I), compared to HF self-management education, provided as an attention control condition, was feasible, acceptable, and had large effects on insomnia and fatigue among HF patients.

OBJECTIVES

The purpose of this randomized controlled trial (RCT) is to evaluate the sustained effects of group CBT-I compared with HF self-management education (attention control) on insomnia severity, sleep characteristics, daytime symptoms, symptom clusters, functional performance, and health care utilization among patients with stable HF. We will estimate the cost-effectiveness of CBT-I and explore the effects of CBT-I on event-free survival (EFS).

METHODS

Two hundred participants will be randomized in clusters to a single center parallel group (CBT-I vs. attention control) RCT. Wrist actigraphy and self-report will elicit insomnia, sleep characteristics, symptoms, and functional performance. We will use the psychomotor vigilance test to evaluate sleep loss effects and the Six Minute Walk Test to evaluate effects on daytime function. Medical record review and interviews will elicit health care utilization and EFS. Statistical methods will include general linear mixed models and latent transition analysis. Stochastic cost-effectiveness analysis with a competing risk approach will be employed to conduct the cost-effectiveness analysis.

DISCUSSION

The results will be generalizable to HF patients with chronic comorbid insomnia and pave the way for future research focused on the dissemination and translation of CBT-I into HF settings.

The Role of Heart Failure, Daytime Sleepiness, and Disturbed Sleep on Cognition

Disturbed sleep and daytime sleepiness may interfere with possible direct relationships between heart failure (HF) and cognition, yet there is limited research investigating this relationship. We aimed to investigate possible mediating roles of disturbed sleep and daytime sleepiness on the relationship between HF and selected cognitive domains among individuals with and without HF. In a cross-sectional design study, we examined the data of 841 older adults with and without HF from the Aging, Demographics, and Memory Study (ADAMS). We found individuals with HF were likely to have a higher degree of disturbed sleep and daytime sleepiness. Both disturbed sleep and daytime sleepiness were significant predictors of cognition. We found that only daytime sleepiness mediated the relationship between the presence of HF and cognitive domains, such as in attention, memory, and executive function after controlling for covariates. Interventions to improve daytime sleepiness among individuals with HF may also help improving cognition.

Feasibility and Efficacy of a Self-Management Intervention for Insomnia in Stable Heart Failure

BACKGROUND

Chronic insomnia is common among patients with heart failure (HF) and may contribute to fatigue and poor function. However, to date there have been no randomized controlled trials focused on treatment of insomnia or daytime symptoms in this population.

OBJECTIVES

The purpose of this study was to examine the preliminary efficacy, feasibility, and acceptability of a self-management intervention (cognitive behavioral therapy [CBT-I]) for insomnia among patients with stable HF.

METHODS

We conducted a pilot randomized controlled trial (RCT) in which patients with stable Class I-III HF (n = 25/52.1% women; mean age = 59 ± 14.8 years) were randomized in groups to CBT-I (n = 29) or an attention control condition (HF self-management with sleep hygiene; n = 19). Participants completed 2 weeks of wrist actigraphy, the insomnia severity index, and measures of fatigue, depression, sleepiness, and functional performance at baseline and follow-up. We computed the size of the effects on the dependent variables and used MANOVA to evaluate the effects of CBT-I on insomnia and fatigue.

RESULTS

CBT-I was feasible and acceptable and had a statistically significant effect on insomnia and fatigue, while controlling for the effects of comorbidity and age.

CONCLUSIONS

CBT-I has short-term efficacy as a treatment for chronic insomnia among patients with stable HF. Future studies are needed to address its sustained effects.

Psycho-emotional manifestations of valvular heart diseases: prospective assessment in mitral regurgitation

OBJECTIVE

To define the prevalence and consequences of post-traumatic stress disorder (PTSD) as an emotional response to cardiac diseases in patients with mitral regurgitation.

METHODS

We prospectively enrolled 186 patients with moderate or severe organic mitral regurgitation, presenting class I (absent) or II (minimal) dyspnea, who were compared with 80 controls of similar age (38 with completely normal cardiac function; 42 with mild mitral-valve prolapse; all with no, or at most mild, mitral regurgitation). Mitral-regurgitation severity and consequences were comprehensively measured, simultaneously with PTSD, anxiety, and depression.

RESULTS

PTSD prevalence was higher in mitral-regurgitation patients vs controls (23% vs 9%, P <.01). Although mitral-regurgitation objective severity (regurgitant volume 77.8 ± 28.9 vs 79.0 ± 27.5 mL, P = .8) and objective consequences (left-atrial volume 59.1 ± 20.9 vs 54.02 ± 15.6 mL, P = .1; right-ventricular systolic pressure 34.1 ± 11.4 vs 32.9 ± 7.2 mm Hg, P = .6) were similar with and without PTSD (all P ≥.1), patients with PTSD were more symptomatic (class II 74 vs 38%; fatigue 71% vs 38%, both P <.0001) and had higher anxiety and depressions scores (P <.0001).

CONCLUSIONS

PTSD is prevalent in organic moderate or severe mitral-regurgitation patients but is not determined by objective mitral-regurgitation severity or consequences. PTSD is linked to anxiety and depression and to symptoms usually considered cardiac, such as dyspnea. Thus, PTSD and psycho-emotional manifestations, linked to symptoms, represent important responses to chronic-valve disease that may affect clinical outcomes.

A pilot study exploring the effects of a 12-week t'ai chi intervention on somatic symptoms of depression in patients with heart failure

BACKGROUND

Patients with chronic heart failure (HF) and with elevated depression symptoms are at greater risk of morbidity and mortality. Somatic symptoms of depression are particularly prevalent in HF and are related to worse disease prognosis. T'ai chi practice is related to increased emotional well-being in various clinical populations; however, relatively little is known about t'ai chi's effects on somatic versus cognitive symptom dimensions of depression in HF.

PURPOSE

The objective of the study was to measure whether a t'ai chi intervention effectively reduces somatic and/or cognitive symptoms of depression in patients with HF.

METHODS

Patients with HF were assigned to either t'ai chi training (n=16) or a usual-care group (n=12). At baseline and after the 12-week intervention period, participants were evaluated for changes in depressive symptoms using Beck Depression Inventory (BDI) total scores (BDI-t) and subcategorized scores of BDI-somatic (BDI-s) and BDI-cognitive (BDI-c), and for symptoms of fatigue using the Multidimensional Fatigue Symptom Inventory-Short Form.

RESULTS

Patients with HF in the t'ai chi group compared to the usual-care group had reduced BDI-s (p≤0.017), but not BDI-c (p=0.50) scores from pre- to postintervention. Although t'ai chi did not significantly reduce fatigue, changes in physical fatigue (p≤0.05) were independently associated with changes in BDI-t scores.

CONCLUSIONS

T'ai chi practice reduced somatic symptoms of depression, which have been linked to worse prognosis in HF. Reductions in fatigue appear to explain some but not all of the reductions in somatic symptoms of depression.

Association of physical versus affective depressive symptoms with cardiac event-free survival in patients with heart failure

OBJECTIVE

To determine whether physical depressive symptoms inflate the association between depressive symptoms as measured with the nine-item Patient Health Questionnaire (PHQ-9) and cardiac event-free survival in patients with heart failure (HF).

METHODS

A total of 210 patients with HF were recruited from HF clinics affiliated with two academic medical centers. The PHQ-9 was used to assess levels of depressive symptoms. Cardiac event-free survival data (cardiac death, cardiac hospitalization, or cardiac emergency department visit) were collected for a median follow-up of 360 days. Cox proportional hazards regression analyses were performed separately for physical and affective depressive symptom dimensions of the PHQ-9 to examine predictive ability for time to the first cardiac event.

RESULTS

Scores of both physical and affective depressive symptom dimensions of the PHQ-9 predicted time to the first cardiac event in separate unadjusted models. However, scores of the physical depressive symptom dimension did not predict time to the first cardiac events, whereas scores of the affective depressive symptom dimension remained as an independent predictor (hazard ratio = 1.12, 95% confidence interval = 1.03-1.22) after controlling for health status (comorbidities and the New York Heart Association functional class) and clinical and sociodemographic factors.

CONCLUSIONS

Affective depressive symptoms, not physical depressive symptoms, predicted time to the first cardiac event independent of health status and clinical and sociodemographic characteristics. The use of the full PHQ-9 does not inflate the relationship of depressive symptoms to cardiac event-free survival. Thus, clinicians can use the PHQ-9 to assess depressive symptoms in their patients with HF without concern that the instrument overestimates the relationship between depressive symptoms and outcomes.

Determinants of excessive daytime sleepiness and fatigue in adults with heart failure

Little is known about excessive daytime sleepiness (EDS) in heart failure (HF). The aim of this cross-sectional descriptive study was to describe the prevalence of EDS and factors associated with it in HF. A secondary purpose was to explore the correlates of fatigue. We enrolled a consecutive sample of 280 adults with a confirmed diagnosis of chronic HF from three outpatient settings in the northeastern United States. Patients with major depressive illness were excluded. Clinical, sociodemographic, behavioral, and perceptual factors were explored as possible correlates of EDS. Using an Epworth Sleepiness Scale score > 10, the prevalence of EDS was 23.6%. Significant determinants of EDS were worse sleep quality (p = .048), worse functional class (p = .004), not taking a diuretic (p = .005), and lack of physical activity (p = .04). Only sleep quality was associated with fatigue (p < .001). Sleep-disordered breathing was not significantly associated with EDS or with fatigue. These factors may be amenable to intervention.

Evaluation and treatment of depression in patients with heart failure

PURPOSE

The purpose of this article is to provide an overview of relevant clinical issues including pathophysiology, clinical presentation, assessment/diagnosis, and treatment strategies regarding depression in the heart failure (HF) patient. This information was synthesized to create a clinical protocol to guide the practitioner in identifying, diagnosing, and treating depression in adult HF patients. This protocol was designed for use in the primary care or HF clinic setting.

DATA SOURCES

PubMed and CINAHL were utilized to search for articles pertaining to HF and depression.

CONCLUSIONS

The presence of depression in HF is associated with a worsening prognosis, increased risk of death, rehospitalization, and functional decline. The practitioner must identify predisposing factors for depression and evaluate symptoms. Self-rated screening instruments can assist the practitioner in identifying those with depression. Evidence is lacking regarding the treatment of depression in HF but selective serotonin reuptake inhibitors are likely the best option.

IMPLICATIONS FOR PRACTICE

Understanding depression as it occurs in patients with HF is critical. If depression is identified and properly managed it may lead to better patient outcomes.

Excessive daytime sleepiness is associated with poor medication adherence in adults with heart failure

BACKGROUND

A relationship between excessive daytime sleepiness (EDS) and poor treatment adherence has been suspected but not confirmed. We hypothesized that medication adherence would be poorer in adults with heart failure (HF) and EDS and that cognitive status would be the mechanism of effect.

METHODS AND RESULTS

A sample of 280 adults with chronic HF were enrolled into a prospective cohort comparison study. We identified a cohort with EDS and a control group without EDS and further divided both groups into those with and without mild cognitive decline. Data on medication adherence were obtained at baseline and 3 and 6 months by using the Basel Assessment of Adherence Scale. Regression analysis was used to clarify the contribution of EDS and cognition to medication adherence and to assess relationships over 6 months after adjusting for age, enrollment site, gender, race, functional class, depression, and premorbid intellect. At baseline, 62% of subjects were nonadherent to their medication regime. Nonadherence was significantly more common in those with EDS, regardless of cognitive status (P = .035). The odds of nonadherence increased by 11% for each unit increase in EDS (adjusted odds ratio 1.11; 95% confidence interval 1.05-1.19; P = .001). In longitudinal models, there was a 10% increase in the odds of nonadherence for each unit increase in EDS (P = .008). The only cognition measure significantly associated with medication adherence was attention (P = .047).

CONCLUSIONS

Adults with HF and EDS are more likely to have problems adhering to their medication regimen than those without EDS, regardless of their cognitive status. Identifying and correcting factors that interfere with sleep may improve medication adherence.

Actigraphic assessment of daily sleep-activity pattern abnormalities reflects self-assessed depression and anxiety in outpatients with advanced non-small cell lung cancer

OBJECTIVES

We measured subjectively evaluated depression and anxiety, and objectively measured daily sleep-activity patterns in inpatients and outpatients with advanced non-small cell lung cancer (NSCLC) and determined whether cancer-associated depression and anxiety are accompanied by characteristic circadian rhythm abnormalities.

METHODS

Equal numbers of inpatients (n=42) and outpatients (n=42) with advanced NSCLC were studied. Baseline depression and anxiety, assessed by the Hospital Anxiety and Depression Scale (HADS), and actigraphy were recorded before chemotherapy initiation. The effects of the presence and severity of chronic obstructive pulmonary disease (COPD) on depression, anxiety, and actigraphy were assessed only among the 42 outpatients.

RESULTS

Anxiety occurred in 40% and depression in 25% of these lung cancer patients, equally among inpatients and outpatients. All patients suffer extremely disturbed daily sleep-activity cycles but each patient also maintains some degree of circadian organization. Outpatients maintain more robust daily activity patterns and longer, more consolidated nighttime sleep compared with inpatients. The more disrupted the daily sleep-activity rhythm, the worse the depression and/or anxiety scores for outpatients. These relationships are obscured among inpatients. COPD has no independent measurable effects on the daily organization of sleep-activity, depression, or anxiety.

CONCLUSIONS

Lung cancer patients whose diurnal activity is disturbed by prolonged and frequent sedentary episodes and whose sleep is disturbed by frequent and prolonged waking are most anxious and depressed. These findings and relationships are masked by hospitalization. Since diurnal exercise improves both sleep and mood, it is reasonable to test whether enhancing daytime activity and nighttime sleep can diminish cancer-associated depression.

Propriedades psicométricas da Dutch Fatigue Scale e Dutch Exertion Fatigue Scale: versão brasileira

Fadiga é uma resposta humana em diversas situações agudas e crônicas e também na população geral. Este artigo relata estudo realizado para estimar confiabilidade e validade da Dutch Fatigue Scale (DUFS) e da Dutch Exertion Fatigue Scale (DEFS) adaptadas para o Brasil. Trezentos pacientes ambulatoriais com insuficiência cardíaca e 64 voluntários responderam a DUFS e a DEFS vertidas para o português. Análise fatorial sobre o conjunto de itens das duas escalas produziu solução com um fator para cada escala (variância explicada = 53,9%) e boas estimativas de confiabilidade pelo alfa de Chronbach (DUFS=0,85 e DEFS=0,92) foram obtidas. Na amostra de pacientes, os escores nas escalas foram positivamente associados com a classe funcional da insuficiência cardíaca (DUFS e DEFS p=0,000), com os escores de depressão (DUFS r s=0,63; p=0,00 e DEFS r s=0,55; p=0,00) e com distúrbio de sono (DUFS e DEFS p=0,000). As versões brasileiras mostraram propriedades semelhantes as das escalas originais.

Characteristics of fatigue in heart failure patients: a literature review

This is a literature review report to describe characteristics (frequency, intensity and correlates) of fatigue in cases of heart failure. MedLine and LILACS were the examined databases. Out of 89 articles identified, 27 were selected for data extraction. Fatigue frequency ranged from 69% to 88% and fatigue intensities are incomparable due to differences in measurement scales. Quality of life, illness progression, physical activity, social and demographic variables, comorbidity, treatment and who assessed the fatigue were variables studied in relation to fatigue. The diversity of fatigue assessment methods causes difficulties to integrate results on fatigue frequency, characteristics and related factors. No study was found on fatigue characteristics in samples of Brazilian heart failure patients.

A comparative study of pain in heart failure and non-heart failure veterans

BACKGROUND

Progress has been made in addressing pain in specific diseases such as cancer, but less attention has focused on understanding pain in nonmalignant states, including heart failure (HF).

METHODS AND RESULTS

From March 2006 to June 2007, 672 veterans were surveyed and scores for the Brief Pain Inventory, pain distress, clinically significant pain levels (moderate to severe pain), and pain locations were compared using univariate and multivariate models. Fifteen percent of the final sample had HF (95/634). In our study, the HF patients were older (P < .000), reported lower levels of general health (P = .018), had more co-morbidities (P < .000), were more likely to have a history of cancer (P = .035), and suffered more chest pain and fewer headaches (P = .026, P = .03, respectively) than their non-HF cohorts. When controlling for age, co-morbidity and cancer disorders, HF and non-HF patients did not differ in pain severity, interference, distress or locations. Of the patients currently experiencing pain, 67.3% of HF patients and 68.4% of non-HF patients rated their pain as moderate or severe (pain >or=4 on a 0 to 10 scale).

CONCLUSIONS

Although HF has not been identified as a painful condition, this study suggests the burden of pain is significant for both HF and non-HF ambulatory care patients.

Sleep disturbance in people with heart failure: implications for self-care

Heart failure (HF) is associated with high levels of sleep disturbance and sleep disorders, including insomnia, periodic limb movements during sleep, and sleep disordered breathing. Recent studies underscore the importance of disturbances in sleep, a multidimensional biobehavioral phenomenon, to the pathophysiological processes associated with the development of HF, excess morbidity and mortality, and decrements in quality of life and functional performance. Managing disturbed sleep requires specific self-care strategies that must be incorporated into other self-care tasks associated with HF. Decrements in functioning associated with disturbed sleep may also have a negative impact on the self-care capacity and self-care behaviors of people with HF. The purposes of this article are to evaluate the state of the science relative to the nature of sleep disturbance experienced by people with HF and to discuss the implications of sleep, sleep disorders, and sleep-promoting interventions for self-care of people with HF.

Symptom perception in CHF: (why mind matters)

Symptoms utilized in the clinical care of heart failure as markers of disease severity include, dyspnea, insomnia, low energy, fatigue, poor appetite, and diminished memory. This is despite the fact that physiologic variables such as cardiac ejection fraction and oxygen consumption do not accurately predict functional state in individuals with congestive heart failure (CHF). Distress (anxiety and depression) may amplify symptom complaints without associated physiologic aberration. Personality traits and psychiatric illness, such as mood, anxiety, and psychotic illnesses may also alter perception of somatic symptoms that are associated with this chronic illness. The impact of distress and its treatment on functional performance and CHF symptom reporting deserve additional attention. The need to screen for distress in all with serious symptomatic heart failure is certain.