Modifiable factors associated with sleep dysfunction in adults with heart failure

Correlates of cognition among people with chronic heart failure and insomnia

PURPOSE

This study aimed to describe cognitive characteristics and their associations with demographic and clinical factors among adults with chronic heart failure (HF) and insomnia.

METHODS

We performed a cross-sectional analysis of baseline data from the HeartSleep Study (NCT#02,660,385), a randomized controlled trial designed to evaluate the effects of cognitive-behavioral therapy for insomnia. Demographic characteristics and health history were obtained. We measured sleep characteristics with the Insomnia Severity Index, the PROMIS Sleep Disturbance Questionnaire, and wrist actigraphy. Sleepiness, stress, and quality of life were measured with validated questionnaires. Measures of cognition included frequency of lapses on the psychomotor vigilance test and the PROMIS cognitive abilities scale where ≥ 3 lapses and a score of ≤ 50, respectively, suggested impairment. These variables were combined into a composite score for multivariable analyses.

RESULTS

Of a sample that included 187 participants (58% male; mean age 63.1 [SD = 12.7]), 77% had New York Heart Association class I or II HF and 66% had HF with preserved ejection fraction. Common comorbidities were diabetes (35%), hypertension (64%), and sleep apnea (54%). Impaired vigilant attention was associated with non-White race, higher body mass index, less education, and more medical comorbidities. Self-reported cognitive impairment was associated with younger age, higher body mass index, and pulmonary disease. On adjusted analysis, significant risk factors for cognitive impairment included hypertension (OR 1.94), daytime sleepiness (OR 1.09), stress (OR 1.08), and quality of life (OR 0.12).

CONCLUSIONS

Impaired cognition is common among people with chronic HF and insomnia and associated with hypertension, daytime sleepiness, stress, and poor quality of life.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: Insomnia Self-management in Heart Failure; NCT#02,660,385.

Sleep-related predictors of cognition among adults with chronic insomnia and heart failure enrolled in a randomized controlled trial of cognitive behavioral therapy for insomnia

STUDY OBJECTIVES

Cognitive impairment and insomnia are common in chronic heart failure (HF). We examined the effects of cognitive behavioral therapy for insomnia (CBT-I) and the extent to which demographic, clinical, symptom, and functional characteristics predicted cognition among people with chronic HF and insomnia who participated in a randomized controlled trial of CBT-I.

METHODS

Participants with HF were randomized to group-based CBT-I or an attention control (HF self-management education). Outcomes were measured over 1 year. We measured psychomotor vigilance and self-reported cognitive ability (PROMIS Cognitive Abilities Scale), clinical and demographic characteristics, history of sleep apnea, fatigue, pain, insomnia (Insomnia Severity Index), sleepiness (Epworth Sleepiness Scale), Six Minute Walk, EuroQoL Quality of Life, and wrist actigraphy (sleep characteristics and rest-activity rhythms). We used cosinor analysis to compute rest-activity rhythms and general linear models and general estimating equations to test the effects of predictors over 1 year.

RESULTS

The sample included 175 participants (mean age = 63 SD = 12.9 Years; 43% women). There was a statistically significant group-time effect on self-reported cognitive function and increases in the proportion of participants, with < 3 psychomotor vigilance lapses in the CBT-I group. Controlling for group-time effects and baseline cognition, decreased sleepiness, improved rest-activity rhythms, and 6-minute walk distance predicted a composite measure of cognition (psychomotor vigilance lapses and self-reported cognition).

CONCLUSIONS

CBT-I may improve cognition in adults with chronic HF. A future fully powered randomized controlled trial is needed to confirm the extent to which CBT-I improves multiple dimensions of cognition.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: Cognitive Behavioral Therapy for Insomnia: A Self-Management Strategy for Chronic Illness in Heart Failure; URL: https://clinicaltrials.gov/ct2/show/NCT02660385; Identifier: NCT02660385.

CITATION

Redeker NS, Conley S, O'Connell M, Geer JH, Yaggi H, Jeon S. Sleep-related predictors of cognition among adults with chronic insomnia and heart failure enrolled in a randomized controlled trial of cognitive behavioral therapy for insomnia. J Clin Sleep Med. 2023;19(6):1073-1081.

The Association Between Self-reported Sleep Quality and Self-care in Adults With Heart Failure

BACKGROUND

Sleep disturbance is one of the most common symptoms among patients with heart failure (HF), and it may affect the ability of patients to perform self-care. There is a lack of evidence on the association between sleep quality and its components and self-care in adults with HF.

OBJECTIVE

The aim of this study was to evaluate the association between sleep quality and its components and self-care in adults with HF.

METHODS

This study is a secondary analysis of baseline data from the MOTIVATE-HF study, a randomized controlled trial on patients with HF and their caregivers. Only patients' data were analyzed in this study (n = 498). Sleep quality and self-care were evaluated with the Pittsburgh Sleep Quality Index and the Self-Care of Heart Failure Index v6.2, respectively.

RESULTS

A habitual sleep efficiency of 75% to 84% was associated with lower self-care maintenance compared with a habitual sleep efficiency of 85% or greater ( P = .031), as was taking sleep medications once or twice a week compared with less than once a week ( P = .001). A frequency of daytime dysfunction less than once a week was associated with lower self-care management compared with a frequency of daytime dysfunction of 3 or more times a week ( P = .025). Taking sleep medications less than once a week was associated with lower self-care confidence compared with taking sleep medications 3 or more times a week ( P = .018).

CONCLUSION

Poor sleep quality is frequently reported by patients with HF. Sleep efficiency, sleep medications, and daytime dysfunction may influence self-care more than the other sleep quality components.

Sleep disturbance in heart failure: A concept analysis

AIM

This concept analysis aims to analyze the concept of sleep disturbance (SD) in the context of heart failure (HF) to guide the development of a clearly defined definition.

BACKGROUND

The term "sleep disturbance" has been used in the literature to describe sleep problems and sleep disorders among individuals with HF. Environmental, physical, psychological, behavioral, and developmental factors complicate the phenomenon of SD in HF.

DESIGN

Walker and Avant's method was used for this concept analysis.

DATA SOURCE

Published literature from 2000 to 2020 was identified from electronic health profession-related databases. The current definition and usages of SD were abstracted from empirical work and electronic databases.

REVIEW METHODS

A focused review of abstracts and full text relating to SD in HF was performed. Studies featuring original data and peer-reviewed articles written in English were included to investigate the multifactorial contextual meaning of the concept.

RESULTS

SD in HF can be described as a condition in which individuals experience difficulty initiating and maintaining sleep, and difficulty continuing or resuming sleep due to frequent nocturnal arousals due to HF symptoms, sleep-disordered breathing, insomnia, and psychological burdens.

CONCLUSIONS

To evaluate SD in HF, clinicians must examine the underlying causes to provide the contextual meaning of the concept. A clearly defined and distinguishable concept of SD in HF provides a possibility for accurate measurements of sleep quality, exploring interventions, and evaluating outcomes.

Diagnostic accuracy and suitability of instruments that screen for obstructive sleep apnoea, insomnia and sleep quality in cardiac patients: a meta-analysis

BACKGROUND

A number of clinical guidelines recommend that all cardiac rehabilitation patients should be screened for potential sleep disorders with a validated screening instrument. There is currently no consensus on what specific tools should be used.

OBJECTIVE

To identify tools that are practical to use in the clinical environment and have high diagnostic accuracy.

METHODS

We systematically searched online databases to identify patient reported outcome instruments that have been used in published research studies to assess the likelihood of obstructive sleep apnoea (OSA) in cardiac patients. In studies that provided diagnostic data, these data were extracted and verified via an evidence-based diagnostic calculator. Where sufficient numbers of studies were available, a meta-analysis was conducted to determine pooled estimates of specificity, sensitivity and diagnostic odds ratios. Selected papers were qualitatively assessed using the Standards for Reporting Diagnostic accuracy studies (STARD).

RESULTS

Of the 21 instruments identified, six detected likelihood of OSA, two assessed daytime sleepiness, five assessed insomnia and eight examined sleep quality. A meta-analysis of 14 studies that assessed diagnostic accuracy of moderate OSA, revealed moderate sensitivity for the Berlin Questionnaire, Sens = 0.49 (95% CI 0.45-0.52) and good sensitivity for the Stop-BANG, Sens = 0.93 (95% CI 0.87-0.96) but poor specificity at standard cut-off criteria.

CONCLUSION

There are promising practical tools available to screen patients with OSA and other sleep disorders in cardiac rehabilitation settings, but specificity could be improved. Additional assessment of sleep quality may enhance prognostic ability with both OSA and insomnia screening.

Sleep Quality and Associated Factors among Diabetes, Hypertension, and Heart Failure Patients at Debre Markos Referral Hospital, Northwest Ethiopia

Background

Chronic illnesses have a negative impact on the quality of sleep; however, patients with chronic illness do not bring sleep issues while they are coming to a health institution for a follow-up. As a result, poor sleep quality among patients with chronic illness is often unrecognized and untreated, and it results to a negative impact on the prognosis of chronic illness.

Methods

An institutional-based cross-sectional study design was employed from February 22, 2018, to April 6, 2018. The total sample size was 396. The study employed a stratified random sampling technique, and study participants were selected by systematic sampling. The data were collected by a Pittsburgh Sleep Quality Index (PSQI) questionnaire which is a validated and standardized tool. The data were analyzed by SPSS version 25; text, tables, and figures were utilized for data presentation. By considering a 95% confidence level and P value of 0.05, binary logistic regression and Kruskal-Wallis test were enrolled.

Results

The prevalence of poor sleep quality among diabetes, hypertension, and heart failure patients was 36.5%. The odds of being a poor sleeper are increased when age increased. Patients who have poor perception towards the prognosis of their illness were four times more likely to be a poor sleeper compared to patients with good perception (AOR = 4.21, 95%CI = 1.94-9.13, P = 0.001). Patients who have anxiety were four times more likely to be a poor sleeper compared with patients without anxiety (AOR = 3.69, 95%CI = 2.19-6.20, P = 0.001). The educational level and residence were other factors associated with sleep quality. There was a statistically significant difference of sleep quality between patients with diabetes and hypertension, and diabetes and heart failure (F (2, 384) = 10.92, P = 0.004). Conclusion and Recommendations. In this study, over one-third of patients had poor sleep quality. Age, educational level, residence, perception towards prognosis of illness, and anxiety were factors associated with sleep quality. All health care providers should assess and provide advice about sleep hygiene and influencing factors. Assessment of sleep quality for every diabetes, hypertension, and heart failure patients in every visit should be incorporated in the care package.

Sleep – the yet underappreciated player in cardiovascular diseases: A clinical review from the German Cardiac Society Working Group on Sleep Disordered Breathing

Patients with a wide variety of cardiovascular diseases, including arterial and pulmonary hypertension, arrhythmia, coronary artery disease and heart failure, are more likely to report impaired sleep with reduced sleep duration and quality, and also, sometimes, sleep interruptions because of paroxysmal nocturnal dyspnoea or arrhythmias. Overall, objective short sleep and bad sleep quality (non-restorative sleep) and subjective long sleep duration are clearly associated with major cardiovascular diseases and fatal cardiovascular outcomes. Sleep apnoea, either obstructive or central in origin, represents the most prevalent, but only one, of many sleep-related disorders in cardiovascular patients. However, observations suggest a bidirectional relationship between sleep and cardiovascular diseases that may go beyond what can be explained based on concomitant sleep-related disorders as confounding factors. This makes sleep itself a modifiable treatment target. Therefore, this article reviews the available literature on the association of sleep with cardiovascular diseases, and discusses potential pathophysiological mechanisms. In addition, important limitations of the current assessment, quantification and interpretation of sleep in patients with cardiovascular disease, along with a discussion of suitable study designs to address future research questions and clinical implications are highlighted. There are only a few randomised controlled interventional outcome trials in this field, and some of the largest studies have failed to demonstrate improved survival with treatment (with worse outcomes in some cases). In contrast, some recent pilot studies have shown a benefit of treatment in selected patients with underlying cardiovascular diseases.

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.

Heart Failure Symptoms Profile Associated With Depressive Symptoms

Heart failure (HF) symptoms are known to influence depressive symptoms, yet a symptom profile has not been identified. HF symptoms relative to symptom experience (frequency, severity, interference with physical activity and enjoyment of life) associated with depressive symptoms were examined. Data from three HF studies (N = 308) which used the Heart Failure Symptom Survey were included in this cross-sectional secondary analysis. Supervised classification for and identification of symptoms most associated with depressive symptoms were accomplished using random forest algorithms via conditional inference trees. The HF symptom profile associated with depressive symptoms across all four symptom experience domains included fatigue, dizziness, and forgetfulness/difficulty concentrating. Abdominal bloating, worsening cough, and difficulty sleeping were also important, but did not consistently rank in the top 5 for symptom importance relative to all symptom experience domains. Symptom profiling may enhance early identification of patients at risk for depressive symptoms and inform symptom management interventions.

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.

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.

Sleepiness and activity in heart failure patients with reduced ejection fraction and central sleep-disordered breathing

OBJECTIVE

Patients with heart failure (HF) and sleep disordered breathing (SDB) are typically not sleepy, unlike patients without heart failure. Previous work in HF patients with obstructive SDB suggested that sleepiness was associated with a reduction in daytime activity. The consequences of predominately central SDB on sleepiness in HF are less well understood. The aim of this study was to test the hypothesis that subjective sleepiness is associated with reduced daytime activity in HF patients with central SDB, compared to those without SDB.

METHODS

The Epworth Sleepiness Scale (ESS), nocturnal polysomnography, and 14 days of wrist watch actigraphy were used to assess subjective daytime sleepiness, nocturnal sleep and breathing, and 24-h activity levels, respectively.

RESULTS

A total of 54 patients with HF were studied, nine had obstructive SDB and were removed from further analysis. Of the patients, 23 had HF with predominantly central SDB (HF-CSA; apnea-hypopnea index (AHI) median 20.6 (IQR 12.9-40.2)/h), and 22 had noSDB (HF-noSDB; AHI 3.7 (2.5-5.9)/h). The median patient age was 68 years (range 59-73 years). There were no significant differences either in ESS score (HF-CSA; 8 [4-10] vs. HF-noSDB; 8 (6-12); p = 0.49) or in duration of daytime activity (HF-CSA 14.5 (14.1-15.2) and HF-noSDB 15.1 (14.4-15.3) hours; p = 0.10) between the groups.

CONCLUSION

HF patients with predominately central SDB are not subjectively sleepy compared to those without SDB, despite reduced sleep quality. We speculate that the lack of sleepiness (based on ESS score) may be due to increased sympathetic nerve activity, although further studies are needed due to the small number (n = 5) of sleepy HF-CSA patients. Daytime activity was not different between HF-noSDB and HF-CSA patients.

Tailored educational supportive care programme on sleep quality and psychological distress in patients with heart failure: A randomised controlled trial

BACKGROUND

Up to 74% of patients with heart failure report poor sleep in Taiwan. Poor symptom management or sleep hygiene may affect patients' sleep quality. An effective educational programme was important to improve patients' sleep quality and psychological distress. However, research related to sleep disturbance in patients with heart failure is limited in Taiwan.

OBJECTIVES

To examine the effects of a tailored educational supportive care programme on sleep disturbance and psychological distress in patients with heart failure.

DESIGN

randomised controlled trial.

PARTICIPANTS AND SETTING

Eighty-four patients with heart failure were recruited from an outpatient department of a medical centre in Taipei, Taiwan. Patients were randomly assigned to the intervention group (n=43) or the control group (n=41).

METHODS

Patients in the intervention group received a 12-week tailored educational supportive care programme including individualised education on sleep hygiene, self-care, emotional support through a monthly nursing visit at home, and telephone follow-up counselling every 2 weeks. The control group received routine nursing care. Data were collected at baseline, the 4th, 8th, and 12th weeks after patients' enrollment. Outcome measures included sleep quality, daytime sleepiness, anxiety, and depression.

RESULTS

The intervention group exhibited significant improvement in the level of sleep quality and daytime sleepiness after 12 weeks of the supportive nursing care programme, whereas the control group exhibited no significant differences. Anxiety and depression scores were increased significantly in the control group at the 12th week (p<.001). However, anxiety and depression scores in the intervention group remained unchanged after 12 weeks of the supportive nursing care programme (p>.05). Compared with the control group, the intervention group had significantly greater improvement in sleep quality (β=-2.22, p<.001), daytime sleepiness (β=-4.23, p<.001), anxiety (β=-1.94, p<.001), and depression (β=-3.05, p<.001) after 12 weeks of the intervention.

CONCLUSION

This study confirmed that a supportive nursing care programme could effectively improve sleep quality and psychological distress in patients with heart failure. We suggested that this supportive nursing care programme should be applied to clinical practice in cardiovascular nursing.

Heart failure and sleep disorders

Awareness of the importance of sleep-related disorders in patients with cardiovascular diseases is growing. In particular, sleep-disordered breathing, short sleep time, and low sleep quality are frequently reported by patients with heart failure (HF). Sleep-disordered breathing, which includes obstructive sleep apnoea (OSA) and central sleep apnoea (CSA), is common in patients with HF and has been suggested to increase the morbidity and mortality in these patients. Both OSA and CSA are associated with increased sympathetic activation, vagal withdrawal, altered haemodynamic loading conditions, and hypoxaemia. Moreover, OSA is strongly associated with arterial hypertension, the most common risk factor for cardiac hypertrophy and failure. Intrathoracic pressure changes are also associated with OSA, contributing to haemodynamic alterations and potentially affecting overexpression of genes involved in ventricular remodelling. HF treatment can decrease the severity of both OSA and CSA. Indeed, furosemide and spironolactone administration, exercise training, cardiac resynchronization therapy, and eventually heart transplantation have shown a positive effect on OSA and CSA in patients with HF. At present, whether CSA should be treated and, if so, which is the optimal therapy is still debated. By contrast, more evidence is available on the beneficial effects of OSA treatment in patients with HF.

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.

Is sleep quality related to cognition in individuals with heart failure?

OBJECTIVE

To examine how self-reported sleep quality and daytime symptoms are associated with selected domains of cognitive function among individuals with heart failure (HF).

BACKGROUND

HF patients suffer from poor sleep quality and cognitive decline. The relationship between sleep and cognition has not been well documented among individuals with HF.

METHODS

In this descriptive, cross-sectional study, 68 individuals with HF (male: 63%, mean age = 72 years, SD = 11) completed sleep questionnaires and a neuropsychological battery.

RESULTS

Participant had mean Pittsburgh Sleep Quality Index score of 5.04 (SD = 2.8). Regression analyses demonstrated neither sleep quality or excessive daytime sleepiness (EDS) were related to cognitive function, but daytime dysfunction was related to lower letter fluency and attention index.

CONCLUSION

Contrary to some earlier reports, subjective sleep and EDS in this group of individuals was not associated with cognitive decline.

"I'd eat a bucket of nails if you told me it would help me sleep:" perceptions of insomnia and its treatment in patients with stable heart failure

BACKGROUND

Poor sleep, including insomnia, is common among patients with heart failure (HF). However, little is known about the efficacy of interventions for insomnia in this population. Prior to developing interventions, there is a need for better understanding of patient perceptions about insomnia and its treatment.

OBJECTIVES

To evaluate HF patients' perceptions about 1) insomnia and its consequences; 2) predisposing, precipitating, and perpetuating factors for insomnia; 3) self-management strategies and treatments for insomnia; and 4) preferences for insomnia treatment.

METHODS

The study, guided by the "3 P" model of insomnia, employed a parallel convergent mixed methods design in which we obtained qualitative data through focus groups and quantitative data through questionnaires (sleep quality, insomnia severity, dysfunctional beliefs and attitudes about sleep; sleep-related daytime symptoms and functional performance). Content analysis was used to evaluate themes arising from the focus group data, and descriptive statistics were used to analyze the quantitative data. The results of both forms of data collection were compared and synthesized.

RESULTS

HF patients perceived insomnia as having a negative impact on daytime function and comorbid health problems, pain, nocturia, and psychological factors as perpetuating factors. They viewed use of hypnotic medications as often necessary but disliked negative daytime side effects. They used a variety of strategies to manage their insomnia, but generally did not mention their sleep concerns to physicians whom they perceived as not interested in sleep.

CONCLUSIONS

HF patients believe insomnia is important and multi-factorial. Behavioral treatments, such as cognitive behavioral therapy, for insomnia may be efficacious in modifying perpetuating factors and likely to be acceptable to patients.

Nocturia, sleep and daytime function in stable heart failure

BACKGROUND

The aim of this study was to evaluate nocturia severity and nocturia-related differences in sleep, daytime symptoms and functional performance among patients with stable heart failure (HF).

METHODS AND RESULTS

In this cross-sectional observational study, we recruited 173 patients [mean age 60.3 ± 16.8 years; female n = 60 (35%); mean left ventricular ejection fraction 32 ± 14.6%] with stable chronic HF from HF disease management programs in the northeastern United States. Participants reported nocturia and completed a 6-minute walk test (6MWT), 1 night of ambulatory polysomnography, and the SF-36 Medical Outcomes Study, Epworth Sleepiness, Pittsburgh Sleep Quality Index, Multidimensional Assessment of Fatigue, and Centers for the Epidemiological Studies of Depression scales. Participants reported 0 (n = 30; 17.3%), 1-2 (n = 87; 50.2%), and ≥3 (n = 56; 32.4%) nightly episodes of nocturia. There were decreases in sleep duration and efficiency, REM and stage 3-4 sleep, physical function, and 6MWT distance and increases in the percentage of wake time after sleep onset, insomnia symptoms, fatigue, and sleepiness across levels of nocturia severity.

CONCLUSIONS

Nocturia is common, severe, and closely associated with decrements in sleep and functional performance and increases in fatigue and sleepiness in patients with stable HF.

Predictors of objectively measured medication nonadherence in adults with heart failure

BACKGROUND

Medication nonadherence rates are high. The factors predicting nonadherence in heart failure remain unclear.

METHODS AND RESULTS

A sample of 202 adults with heart failure was enrolled from the northeastern United States and followed for 6 months. Specific aims were to describe the types of objectively measured medication adherence (eg, taking, timing, dosing, drug holidays) and to identify contributors to nonadherence 6 months after enrollment. Latent growth mixture modeling was used to identify distinct trajectories of adherence. Indicators of the 5 World Health Organization dimensions of adherence (socioeconomic, condition, therapy, patient, and healthcare system) were tested to identify contributors to nonadherence. Two distinct trajectories were identified and labeled persistent adherence (77.8%) and steep decline (22.3%). Three contributors to the steep decline in adherence were identified. Participants with lapses in attention (adjusted OR, 2.65; P=0.023), those with excessive daytime sleepiness (OR, 2.51; P=0.037), and those with ≥2 medication dosings per day (OR, 2.59; P=0.016) were more likely to have a steep decline in adherence over time than to have persistent adherence.

CONCLUSIONS

Two distinct patterns of adherence were identified. Three potentially modifiable contributors to nonadherence have been identified.