Sleep symptoms and clinical markers of illness in patients with heart failure

Prognostic impact of insomnia in patients receiving trans-catheter aortic valve replacement

BACKGROUND

The presence of insomnia exhibits a profound association with diverse cardiovascular pathologies. However, its prognostic implications in patients undergoing transcatheter aortic valve replacement (TAVR) for severe aortic stenosis remain ambiguous.

METHODS

This retrospective study enrolled patients who underwent TAVR for severe aortic stenosis at a prominent academic center from 2015 to 2022. The impact of insomnia, operationally defined as the prescription of soporific agents, on the two-year composite primary outcome comprising all-cause mortality and hospital readmissions was scrutinized.

RESULTS

A cohort of 345 patients (median age 85 years, 99 males) was encompassed in the analysis. All subjects underwent successful TAVR and subsequent discharge. The presence of insomnia (N = 91) emerged as an independent predictor of the two-year composite endpoint, with an adjusted hazard ratio of 1.66 (95 % confidence interval 1.08-2.57, p = 0.022), significantly delineating the two-year cumulative incidence of the primary endpoint (40 % versus 30 %, p = 0.035).

CONCLUSION

Approximately one-fourth of TAVR candidates manifested symptoms of insomnia, a condition autonomously correlated with heightened mortality and morbidity following the TAVR procedure. The optimal strategy for addressing insomnia in TAVR candidates constitutes a paramount consideration for future interventions.

Insomnia and common mental disorder among patients with pre-existing chronic non-communicable diseases in southern Ethiopia: a survey during COVID-19 pandemic

Background

COVID-19 has been causing significant mental health problems and other health-related issues. Despite the fact that COVID-19 has a significant impact on chronic disease patients, there is scant research on insomnia, common mental health disorders (CMD), and their associated factors among chronic disease patients.

Objective

The purpose of this study was to assess the prevalence of insomnia and common mental disorders (CMD) and their associated factors among patients with pre-existing chronic NCDs in Sidama, southern Ethiopia.

Methods

A multicenter cross-sectional study was undertaken between June 1 and September 1, 2021. The study included 633 participants. CMD and insomnia were assessed using a 20-item Self-Reported Questionnaire (SRQ-20) and a 7-item Insomnia Severity Index (ISI) scale, respectively. To describe the various variables, descriptive statistics were used. We performed multivariable logistic regression analysis to identify independent factors associated with CMD and insomnia. A value of p < 0.05 was considered statistically significant at a 95% confidence interval.

Results

The prevalence of insomnia and CMD was found to be 39.3% and 46.8%, respectively. Being merchant (AOR = 0.33; 95% CI = 0.13, 0.82), having a diagnosis of diabetes mellitus (AOR = 1.89; 95% CI = 1.04, 3.46), comorbid diagnosis (AOR = 3.96; 95% CI = 2.27, 6.89), low social support (poor (AOR = 3.37; 95% CI = 1.51, 7.57) and moderate (AOR = 3.13; 95% CI = 1.46, 6.69)), symptoms of insomnia (AOR = 12.08; 95% CI = 7.41, 19.72) and poor quality of life (QOL) (AOR = 1.67; 95% CI = 1.04, 2.72) were independent predictors of CMD. We also found out that, having cardiovascular disorders (CVDs) (AOR = 2.48; 95% CI = 1.18, 5.19), CMD (AOR = 12.09; 95% CI = 7.46, 19.61), and poor QOL (AOR = 2.04; 95% CI = 1.27, 3.26) were significantly associated with insomnia symptoms.

Conclusion

Our study suggests that substantially high prevalence of CMD and insomnia. Significant association between CMD and occupation, diagnosis, comorbidity, social support, insomnia, and QOL were found. We also revealed that having CVDs, CMD, and poor QOL were significantly associated with insomnia symptoms. Therefore, dealing with the mental health problems of patients with chronic NCDs is an essential component of public health intervention during the COVID-19 pandemic.

Insomnia in patients with acute heart failure: from the KCHF registry

AIMS

Insomnia is a known risk factor for heart failure (HF) and a predictor of cardiac events in HF patients, but the clinical significance of insomnia in patients with acute HF (AHF) is not adequately evaluated. This study aimed to investigate the association between insomnia and subsequent clinical outcomes in patients with AHF.

METHODS

From the Kyoto Congestive Heart Failure registry, consecutive 3414 patients hospitalized for HF who were discharged alive were divided into the 2 groups at discharge: insomnia group and non-insomnia group. We compared baseline characteristics and 1 year clinical outcomes according to the presence of insomnia. The primary outcome measure was all-cause death.

RESULTS

There were 330 patients (9.7%) and 3084 patients (90.3%) with and without insomnia, respectively. In the multivariable logistic regression analysis, brain-type natriuretic peptide above median value at discharge (OR = 1.50, 95% CI = 1.08-2.10, P = 0.02) and the presence of oedema at discharge (OR = 4.23, 95% CI = 2.95-6.07, P < 0.001) were positively associated with insomnia at discharge, whereas diuretics at discharge (OR = 0.60, 95% CI = 0.39-0.90, P = 0.01) were negatively associated with insomnia at discharge. The cumulative 1 year incidence of all-cause death was significantly higher in the insomnia group than in the non-insomnia group (25.1% vs. 16.2%, P < 0.001). Even after adjusting the confounders, the higher mortality risk of patients with insomnia relative to those without insomnia remained significant (HR = 1.55, 95% CI = 1.24-1.94; P < 0.001).

CONCLUSIONS

Patients with insomnia at discharge were associated with a higher risk of mortality than those without insomnia at discharge.

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.

Prognostic Impact of Sleep Patterns and Related-Drugs in Patients with Heart Failure

Sleep disturbances are frequent among patients with heart failure (HF). We hypothesized that self-reported sleep disturbances are associated with a poor prognosis in patients with HF. A longitudinal study of 119 patients with HF was carried out to assess the association between sleep disturbances and the occurrence of major cardiovascular events (MACE). All patients with HF completed self-administered questionnaires on sleepiness, fatigue, insomnia, quality of sleep, sleep patterns, anxiety and depressive symptoms, and central nervous system (CNS) drugs intake. Patients were followed for a median of 888 days. Cox models were used to estimate the risk of MACE associated with baseline sleep characteristics. After adjustment for age, the risk of a future MACE increased with CNS drugs intake, sleep quality and insomnia scores as well with increased sleep latency, decreased sleep efficiency and total sleep time. However, after adjustment for left ventricular ejection fraction and hypercholesterolemia the HR failed to be significant except for CNS drugs and total sleep time. CNS drugs intake and decreased total sleep time were independently associated with an increased risk of MACE in patients with HF. Routine assessment of self-reported sleep disturbances should be considered to prevent the natural progression of HF.

Sleep Disorder and Heart Failure with Preserved Ejection Fraction

It is generally considered that obstructive sleep apnea is a potential cause of heart failure (HF), and insomnia and central sleep apnea are results of HF. However, the number of reports describing the bidirectional relationship between sleep disorder and HF has increased. Sleep disorder may contribute to left ventricular diastolic dysfunction via left atrial overload, left ventricular remodeling, pulmonary hypertension, and atrial fibrillation, which lead to HF with preserved left ventricular ejection fraction. Overnight rostral fluid shift and lung congestion may lead to airflow obstruction in the upper pharynx and stimulate pulmonary irritant receptors, which induce hyperventilation and sleep disorder.

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.

Perceived Stress, Subjective, and Objective Symptoms of Disturbed Sleep in Men and Women with Stable Heart Failure

Objective/Background: Sleep disturbance is prevalent among patients with heart failure (HF) and is associated with increased morbidity and mortality. Stress also affects health and quality of life among patients with cardiovascular disease and likely plays a prominent role in HF. However, little is known about the associations between stress and sleep among HF patients.Participants: One hundred fifty-three stable New York Heart Association (NYHA) Classification I-IV HF patients with at least low symptoms of insomnia (M_age:63.0 ± 12.8, 42% Women).Methods: We examined baseline stress, sleep disturbance, and sleep-related characteristics from a randomized controlled trial of cognitive behavioral therapy for insomnia, including the Perceived Stress Scale, Insomnia Severity Index, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Sleep Disturbance Questionnaire, Dysfunctional Beliefs about Sleep Scale, PROMIS Cognitive Ability, SF-36 Mental Health, and wrist actigraphy. We used Pearson correlations and general linear models to assess stress-sleep associations, including the potential moderating effects of sex and symptom severity (NYHA).Results: There were moderate-to-large correlations between stress and self-reported sleep disturbance, dysfunctional beliefs about sleep, cognitive ability, and mental health (p's < 0.01). High stress was associated with more objectively-measured (i.e., actigraph-assessed) awakenings and sleep fragmentation among women than men (β = - 0.04, p < 0.01; β = - 0.71, p = 0.04). Relationships between stress and objectively-measured sleep did not vary by symptom severity.Conclusions: Perceived stress is related to sleep disturbance among HF patients, and effects may be sex-dependent. Subsequent research should determine the temporal links between sleep and stress, and optimal opportunities for intervention among HF patients.

Prevalence of Restless Legs Syndrome and Its Effects on Sleep and Health-Related Quality of Life in Patients With Heart Failure

BACKGROUND

Restless legs syndrome (RLS) is a neurological disorder characterized by leg restlessness and dysesthesia. Although the relationship between RLS and heart failure (HF) has been reported, the prevalence and clinical significance of RLS in patients with HF remain to be elucidated.

METHODS AND RESULTS

We enrolled consecutive patients with HF who were admitted to our institutions. RLS was diagnosed using the International Restless Legs Syndrome Study Group criteria. Subjective sleepiness, sleep quality, and quality of life (QoL) were assessed using the Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and 8-item Short Form (SF-8), respectively. Among the 133 patients, 18 (13.6%) had RLS and were younger than those without RLS (62.4±13.4 vs 70.0±12.2, P = .017). The RLS group had significantly disrupted sleep quality and QoL, with greater PSQI score (8.0±3.2 vs 5.9±3.3, P = .015) and lower SF-8 physical component summary (PCS) score (35.6±6.5 vs 40.7±9.5, P = .031), despite similar ESS and SF-8 mental component summary scores. In the multivariable regression analysis, RLS was associated with greater PSQI (β=0.211; P = .014) and lower PCS score (β=-0.177; P = .045).

CONCLUSION

In the patients with HF, RLS was prevalent, and sleep quality and QoL may be disrupted by RLS.

Effects of suvorexant on sleep apnea in patients with heart failure: A protocol of crossover pilot trial

BACKGROUND

Suvorexant, an orexin receptor antagonist, is known as a safe and effective sleep medication. Many patients with heart failure (HF) have sleep-disordered breathing (SDB) and are short sleepers, and it is unknown whether suvorexant is effective in HF patients and can improve insomnia safely. The aim of this study is to examine the effect of suvorexant on SDB in patients with HF.

METHODS

The Heart Failure with Insomnia and Suvorexant trial of Juntendo University Hospital and Juntendo Shizuoka Hospital (J-FLAVOR trial) is a multicenter trial with a randomized double crossover design. We will enroll a total of 30 HF patients treated in the Juntendo University Hospital and Juntendo Shizuoka Hospital. Eligible patients will undergo portable sleep monitoring twice with or without oral administration of suvorexant in a randomly assigned order. Before the study night, patients in the suvorexant first group will receive suvorexant for 4 consecutive days. There are at least 3 wash-out days between the study nights with and without suvorexant. Primary outcome measures of the non-inferiority trial of suvorexant include the apnea-hypopnea index and the severity of SDB, and the results will be compared between the study nights with and without suvorexant.

CONCLUSION

The present study can determine whether suvorexant can be used in HF patients without affecting their SDB. This is a pilot study to primarily assess whether suvorexant affects the severity of SDB in patients with HF. Therefore, further study is warranted to investigate whether suvorexant alters short- and long-term clinical outcomes by providing longer and better sleep in patients with HF.

Effects of Zolpidem CR on Sleep and Nocturnal Ventilation in Patients with Heart Failure

STUDY OBJECTIVE

This study aimed to evaluate the effects of zolpidem CR (controlled release) on sleep and nocturnal ventilation in patients with congestive heart failure, a population at risk for insomnia and poor sleep quality.

METHODS

Fifteen patients with heart failure (ischemic cardiomyopathy) and ejection fraction ≤ 45% in NYHA functional class I or II were evaluated with full polysomnography in a placebo-controlled, double-blind, randomized trial. Patients underwent three tests: (1) baseline polysomnography and, after randomization, (2) a new test with zolpidem CR 12.5 mg or placebo, and after 1 week, (3) a new polysomnography, crossing the "medication" used.

RESULTS

A 16% increase in total sleep time was found with the use of zolpidem CR and an increase in stage 3 NREM sleep (slow wave sleep). The apnea hypopnea index (AHI) did not change with zolpidem CR even after controlling for supine position; however, a slight but significant decrease was observed in lowest oxygen saturation compared with baseline and placebo conditions (83.60 ± 5.51; 84.43 ± 3.80; 80.71 ± 5.18, P = 0.002).

CONCLUSION

Zolpidem CR improved sleep structure in patients with heart failure, did not change apnea hypopnea index, but slightly decreased lowest oxygen saturation.

"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.

Use of an evidence-based protocol to screen for sleep-disordered breathing in a heart failure disease management clinic

Undiagnosed and untreated sleep-disordered breathing can lead to negative health outcomes and increased utilization of health resources among patients with heart failure. The purpose of this evidence-based practice project was to implement and evaluate a new multifaceted sleep-disordered breathing screening protocol in a heart failure disease management clinic. The combined use of a symptoms questionnaire, the Epworth sleepiness scale, and overnight pulse oximetry was significantly more effective in identifying patients with a positive diagnosis of sleep-disordered breathing than using the Epworth sleepiness scale alone (P < .05).

Health behavior and adherence to treatment for sleep breathing disorder in the patient with heart failure

BACKGROUND

Heart failure can be complicated by a variety of comorbidities including sleep breathing disorder (SBD). Treatment for SBD in the heart failure patient can improve quality of life and decrease mortality. Few studies have sought to examine the reasons why patients with heart failure who screen positive for SBD do not follow through with diagnostic testing and recommendations for evidence based treatments.

PURPOSE

The purpose of this study was to describe and compare the characteristics of patients with heart failure who adhered to recommendations for evaluation and treatment of SBD with those who did not. Additionally, the study sought to examine reasons for nonadherence.

METHODS

A descriptive comparative design was used. Descriptive statistics were used to define and compare the study population in terms of demographic data, which included age, gender, ethnicity, New York Heart Association heart failure classification, and comorbidities. Additionally, patients were surveyed to determine reasons for nonadherence to recommended overnight sleep study evaluation and or treatment with positive airway pressure.

RESULTS

Demographics with higher percentages of adherence to evaluation and treatment included younger individuals and male gender. Prevalent reasons for nonadherence for evaluation and treatment included negative perceptions of an overnight sleep study evaluation and advanced age.

IMPLICATIONS FOR PRACTICE

The community nurse educator can use the descriptive comparative findings in this study to tailor educational programs toward individuals with heart failure who have screened positive for SBD who are most at risk for nonadherence.

Modifiable factors associated with sleep dysfunction in adults with heart failure

BACKGROUND

Sleep dysfunction contributes to poor quality of life in adults with heart failure (HF). The purpose of this study was to identify factors associated with sleep dysfunction that may be modifiable.

METHODS

Data were collected from 266 subjects enrolled from three sites in the U.S. Sleep dysfunction was measured over the past month with the Pittsburgh sleep quality index, using a score > 10 to indicate sleep dysfunction. Potentially modifiable clinical, behavioral, and psychological factors thought to be associated with sleep dysfunction were analyzed with hierarchical logistic regression analysis.

RESULTS

When covariates of age, gender, race, data collection site, and New York Heart Association (NYHA) functional class were entered on the first step, only NYHA was a significant correlate of sleep dysfunction. When the clinical, behavioral, and psychological factors were entered, correlates of sleep dysfunction were the number of drugs known to cause daytime somnolence (OR = 2.08), depression (OR = 1.83), worse overall perceived health (OR = 1.64), and better sleep hygiene (OR = 1.40). Although most (54%) subjects had sleep disordered breathing (SDB), SDB was not a significant predictor of sleep dysfunction.

DISCUSSION

Factors associated with sleep dysfunction in HF include medications with sleepiness as a side-effect, depression, poorer health perceptions, and better sleep hygiene. Sleep dysfunction may motivate HF patients to address sleep hygiene. Eliminating medications with sleepiness as a side-effect, treating depression and perceptions of poor health may improve sleep quality in HF patients.

The contribution of heart failure to sleep disturbances and depressive symptoms in older adults

BACKGROUND

The aim of this study was to explore the associations between physical symptoms, sleep disturbances, and depressive symptoms in community-dwelling elderly individuals, comparing persons with and without heart failure (HF).

METHODS

A total of 613 older adults (mean age 78 years) underwent clinical and echocardiographic examinations. Questionnaires were used to evaluate sleep disturbances and depressive symptoms. A model was developed in those with HF (n = 107) and compared with those without HF (n = 506).

RESULTS

Cardiopulmonary symptoms (ie, dyspnea and nighttime palpitations) and pain had significant direct associations with sleep disturbances, which indirectly affected depressive symptoms. The model was essentially the same in those with and without HF except that the effect of sleep disturbances on depressive symptoms was stronger in those with HF (β = 0.64 vs β = 0.45, P = .006).

CONCLUSION

In community-dwelling older adults, regardless of their diagnosis, physical symptoms had a direct effect on sleep disturbances and an indirect effect on depressive symptoms.

[Factors associated to sleep pattern in heart failure patients]

The objective of this study was to describe sleep patterns in patients with heart failure (HF) and analyze associations between sleep and the following variables: gender, age, fatigue, fatigue on exertion, physical activity, functional class, drug therapy, dyspnea, and body mass index. The nonprobability sample consisted of 400 patients (mean age 57.8 years; 64.8% were men, average schooling of 6.1 years; 82.5% Functional Class II or III). The prevalence of poor sleepers was 68.5%, and 46.5% rated sleep as poor or very poor. Scores suggest that the bad sleeper category was associated with: female, unemployed, fatigue, fatigue on exertion, dyspnea and higher functional classes of HF. The proportion of poor sleepers among patients with HF is among the highest in chronic diseases. Dyspnea and fatigue, common symptoms of this disease, significantly increase the chance of being a bad sleeper.

Self-reported health-related quality of life and sleep disturbances in Taiwanese people with heart failure

BACKGROUND AND RESEARCH OBJECTIVE

Health-related quality of life (HRQOL) has been viewed as the most important clinical outcome of heart failure (HF) management. However, information about the predictors of HRQOL in Taiwanese people with HF is limited, especially for the effects of sleep disturbances on HF.

PURPOSE

The purpose of this study was to identify predictors of HRQOL in Taiwanese people with HF, especially focusing on the extent to which sleep variables are related to HRQOL.

METHODS

A cross-sectional, descriptive correlational design was used. A nonprobability sample of 125 participants was recruited from the outpatient departments of 2 hospitals located in southern Taiwan. Participants were face-to-face individually interviewed to complete the Kansas City Cardiomyopathy Questionnaire, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, and Charlson Comorbidity Index. Data for concomitant health problems and HF characteristics were collected from the medical records.

RESULTS

The mean Kansas City Cardiomyopathy Questionnaire overall summary score for HRQOL in this sample was 70.50 (SD, 19.63). Health-related quality of life physical symptom had the highest score, and the psychological satisfaction domain had the lowest. Six predictors of the HRQOL were identified by using a 3-step hierarchical multiple regression analysis with forward method. The predictors were education (R² = 0.09), New York Heart Association functional class (R² = 0.398), Charlson Comorbidity Index number (R² = 2.6), subjective sleep quality (R² = 0.037), sleep disturbances (R² = 0.015), and sleep latency (R² = 0.018), and together they accounted for a total of 58.5% of the variance in HRQOL.

CONCLUSIONS

Nurses should use a holistic perspective to help patients understand and manage the impact of HF on their daily lives. Effective interventions for improving HRQOL should be designed based on patients' needs and lifestyles. The study findings could serve as a baseline for further longitudinal studies to explore the long-term effects of correlates and causal relationships among the variables in this Taiwanese population with HF.

Insomnia symptoms and daytime function in stable heart failure

OBJECTIVES

To evaluate insomnia symptoms and the extent to which they are associated with clinical and demographic patient characteristics, daytime symptoms, and functional performance in patients with stable heart failure (HF).

DESIGN

Cross-sectional, observational.

SETTING

Five structured HF disease management programs in the Northeastern U.S.

PARTICIPANTS

173 stable chronic HF patients

INTERVENTIONS

N/A.

MEASUREMENTS AND RESULTS

Full polysomnography was obtained for one night in participants' homes. Participants completed the six-minute walk test, Medical Outcomes Study SF-36, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Multi-Dimensional Assessment of Fatigue Scale, Centers for the Epidemiological Studies of Depression Scale, and questionnaire items eliciting insomnia symptoms (self-reported difficulty initiating and maintaining sleep and waking too early in the morning). Over half of HF patients reported insomnia symptoms. These were associated with increased daytime symptoms (depression, fatigue), excessive daytime sleepiness, and functional performance in models that statistically controlled for clinical and demographic covariates. These relationships were not explained by sleep disordered breathing.

CONCLUSIONS

Insomnia symptoms are common in patients with stable heart failure and are associated with daytime symptoms and decrements in functional performance.

Poor sleep and impaired self-care: towards a comprehensive model linking sleep, cognition, and heart failure outcomes

BACKGROUND

Persons with heart failure (HF) have significantly lower sleep quantity and quality than persons without HF. The purpose of this article is to propose a conceptual model describing how poor sleep may contribute to inadequate self-care and untoward outcomes in persons with HF.

AIMS

Our overarching hypothesis is that sleep affects self-care and outcomes through its effects on cognition. Building on the work of others, we outline a conceptual model that illustrates that even transient sleep disruption prevents sleep-related restorative processes and contributes to cognitive dysfunction-especially in the 25-50% of HF patients with existing cognitive impairment. Poor sleep may be sufficient to impair cognition to a level that interferes with higher order functions involved in effective HF self-care practices. Through these mechanisms, inadequate sleep may contribute to poor outcomes such as low health-related quality of life and greater risk of unplanned hospitalization.

CONCLUSION

The proposed model (1) bridges physical, neuropsychological and behavioral phenomena, (2) suggests a mechanism by which poor sleep affects daytime behavior, and (3) is empirically testable. Exploring factors that interfere with sleep may improve self-care and outcomes in persons with HF.

The Berlin questionnaire for sleep apnea in a sleep clinic population: relationship to polysomnographic measurement of respiratory disturbance

The Berlin questionnaire (BQ) has been used to help identify patients at high risk of having sleep apnea in primary care and atrial fibrillation patients. The BQ may be a useful adjunct in sleep medicine and research, but it has never been validated in a sleep clinic population. The aim of the study is to determine the specificity and sensitivity of the BQ compared to the respiratory disturbance index (RDI) values obtained from two nights of polysomnographic recording in a sleep clinic population. This is a retrospective chart review study of 130 sleep clinic patients. Patients' demographics, BQ scores, RDI measurements, and sleep study parameters were extracted from the patients' chart. Of the 130 charts reviewed, the BQ identified 76 (58.5%) as being at high-risk of having sleep apnea, but overnight polysomnography found only 34 of the 130 patients (26.2%) had an RDI > 10. The BQ performed with 0.62 sensitivity and 0.43 specificity at the RDI > 10 level. Due to the low sensitivity and specificity as well as the large number of false negatives and positives, the Berlin questionnaire is not an appropriate instrument for identifying patients with sleep apnea in a sleep clinic population.

Insomnia and chronic heart failure

Insomnia is highly prevalent in patients with chronic disease including chronic heart failure (CHF) and is a significant contributing factor to fatigue and poor quality of life. The pathophysiology of CHF often leads to fatigue, due to nocturnal symptoms causing sleep disruption, including cough, orthopnea, paroxysmal nocturnal dyspnea, and nocturia. Inadequate cardiac function may lead to hypoxemia or poor perfusion of the cerebrum, skeletal muscle, or visceral body organs, which result in organ dysfunction or failure and may contribute to fatigue. Sleep disturbances negatively affect all dimensions of quality of life and is related to increased risk of comorbidities, including depression. This article reviews insomnia in CHF, cardiac medication side-effects related to sleep disturbances, and treatment options.

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.

Symptoms of fatigue in chronic heart failure patients: Clinical and psychological predictors

OBJECTIVE

To examine the role of clinical and psychological characteristics as predictors of fatigue in CHF.

BACKGROUND

Little is known about predictors of fatigue in CHF. Next to heart failure characteristics, depressive symptoms and type-D personality may explain individual differences in fatigue.

METHODS

At baseline, 136 CHF outpatients (age<or=80 years) completed a questionnaire to assess depressive symptoms, type-D personality and cardiac symptoms. At one-year follow-up, they completed the Dutch Exertion Fatigue Scale and the Fatigue Assessment Scale to assess symptoms of fatigue. Medical information was obtained from the patients' medical records.

RESULTS

Exertion fatigue and general fatigue were identified as different manifestations of fatigue. We found that exertion fatigue at 12-month follow-up was predicted by decreased exercise capacity (beta=-.35; p<.001), dyspnoea (beta=24; p=.002), hypertension (beta=.16; p=.03), and depressive symptoms (beta=.16; p=.05). In contrast, general fatigue at 12-month follow-up was predicted by dyspnoea (beta=.24; p=.003), depressive symptoms (beta=.27; p<.001), type-D personality (beta=17; p=.03), and sleep problems (beta=.20; p=.01). Together, these variables explained 32% and 37% of the variance, respectively.

CONCLUSION

The present study showed that fatigue was related to both clinical and psychological characteristics. The use of this knowledge may lead to a better understanding and treatment of the clinical manifestations of fatigue in CHF.

Sleep Disturbances in People Living With Heart Failure

Approximately 10% to 70% of people living with chronic heart failure (HF) experience significant sleep disturbances, which have been shown to impair their health-related quality of life and overall functional performance. Research findings, however, report inconsistent conclusions about sleep disturbances and their adverse effects on HF. The purpose of this article is to review several research studies addressing sleep disturbances in patients with HF and to highlight contradictory and inconsistent findings. Further nursing research about the phenomena related to sleep disturbances in people with HF is warranted so that evidence-based assessments and interventions can be tested in the future.