Sleep quality and sleepiness in persons with implantable cardioverter defibrillators: outcome from a clinical randomized longitudinal trial

Self-reported Sleep Quality Before and After Atrial Fibrillation Ablation

BACKGROUND

Poor sleep quality is highly prevalent in atrial fibrillation (AF) with reported links between worse sleep quality and higher AF severity. Little research has examined whether sleep quality changes after AF ablation despite it being a routinely performed procedure.

OBJECTIVE

The aim of this study was to evaluate self-reported sleep quality before and after AF ablation and to examine whether sleep quality differs by AF severity or sex.

METHODS

This longitudinal pilot study assessed sleep using the Pittsburgh Sleep Quality Index at preablation and at 1, 3, and 6 months after ablation. Atrial fibrillation disease severity was assessed by the Canadian Cardiology Society Severity of AF scale. Outcomes were analyzed using descriptive statistics, Spearman ρ correlations, and multilevel longitudinal models.

RESULTS

The sample (N = 20) was 55% female with a mean age of 65 (±7) years. Poor sleep quality (mean Pittsburgh Sleep Quality Index scores > 5) was evident at all time points. Improvement was noted at 3 months (moderate effect size d = 0.49); and negligible further improvement, from 3 to 6 months post ablation. Improvement was seen primarily in male subjects (large effect size d = 0.89 at 3 months), with smaller improvements for female subjects. Although Severity of AF scale scores were not correlated with sleep quality, Severity of AF scale severity scores did significantly improve over time.

CONCLUSIONS

Patients with AF have poor sleep quality that improves for the first 3 months after AF ablation, with men showing more improvement than women. A more accurate understanding of the sleep challenges after AF ablation could lead to development of more realistic patient education and improve patient self-management.

Gender-Based Differences in the Relationships Among Social Support, Positive Psychological Capital, and Sleep Quality in Patients Implanted With Pacemakers: A Moderated Mediation Model

BACKGROUND

Sleep disorders are common and seriously affect the prognosis of patients implanted with pacemakers.

AIMS

In this study, it was investigated whether social support directly impacts sleep quality and whether positive psychological capital mediates and gender moderates the relationship between social support and sleep quality among this group.

METHODS

A total of 178 patients implanted with pacemakers were recruited to participate in the study from 2 tertiary hospitals in Shandong, China. Patients were assessed using the Perceived Social Support Scale, Positive PsyCap Questionnaire, and Pittsburgh Sleep Quality Index (PSQI). Multiple linear regression and the PROCESS macro were used to test the mediating and moderated mediating effects.

RESULTS

Patients' mean PSQI score was (8.48 ± 4.50), and 71.30% of the patients had sleep problems (PSQI > 5). Social support scores were negatively correlated with PSQI scores (r = -0.19, P = .010) and positively correlated with positive psychological capital scores (r = 0.45, P < .001). In addition, positive psychological capital scores were negatively related to PSQI scores (r = -0.39, P < .001). The confidence interval (CI) from the bootstrap output indicated that positive psychological capital played a mediating role between social support and sleep quality (95% CI, -0.098 to -0.033), and gender moderated the association between social support and sleep via positive psychological capital (95% CI, -0.087 to -0.006).

CONCLUSION

The sleep problems of this population cannot be ignored. Gender-based differences should be considered when guiding such patients toward using internal and external resources to cope with sleep problems.

Associations between pain, objective sleep efficiency and cognition in patients with implantable cardioverter defibrillators

INTRODUCTION

Patients with implantable cardioverter defibrillators (ICDs) frequently experience sleep disruption. Prior work shows associations between objective (actigraphic) sleep and cognition in these patients, but whether pain affects associations between measures of sleep fragmentation (eg, sleep efficiency, SE) and cognition is unknown. The present study examined independent and interactive associations between objective SE and pain on cognitive performance in patients with ICDs.

METHODS

A total of 37 patients with ICDs (M_age = 60.0, SD = 12.4) and self-reported sleep disturbance completed 14 days of actigraphy. Average SE was computed [(average total sleep time/average time in bed) × 100%]. Patients completed the Short Form 36 Health Survey pain section, and computerized tasks measuring executive functioning (letter series, N-Back task), sustained attention/processing speed (symbol digit modalities test, SDMT), and simple reaction time. Multiple linear regressions examined whether SE independently predicted or interacted with pain ratings to predict cognitive performance.

RESULTS

SE interacted with pain to predict SDMT performance, accounting for 12% unique variance. In patients reporting worse pain, higher SE was associated with better SDMT performance. Similar patterns of association on SDMT were not observed in patients with average or low pain. SE and pain ratings did not independently predict SDMT performance. Performance on other cognitive tasks was not associated with any predictors.

CONCLUSION

Better sleep efficiency may play an important role in improving sustained attention/processing speed in patients with ICDs and perceived severe pain. Future research should examine whether interventions aimed at improving sleep fragmentation provide benefit to lower order cognition, particularly in patients with worse pain.

Multisymptom Profile Predicts Increased Risk of Poor Outcomes After Initial Placement of Implantable Cardioverter Defibrillator

CONTEXT

Patients with implantable cardioverter defibrillators (ICDs) are at risk for multiple physical and psychological symptoms. Identification of specific symptom profiles associated with poor outcomes may elucidate novel strategies to enhance symptom management.

OBJECTIVES

The objectives were to determine common symptoms after initial ICD implantation, identify classes of individuals with similar symptom profiles, describe patient characteristics associated with different symptom profiles, and determine if symptom profiles at hospital discharge predicted outcomes three and 12 months after implantation.

METHODS

This was a secondary data analysis of a randomized controlled trial that compared patient + partner versus patient-only interventions designed to help patients manage symptoms, prepare for ICD shocks, and resume daily activities. Symptoms were measured with the Patient Concerns Assessment. Latent class regression analysis was used to identify symptom classes at baseline, three-month, and 12-month follow-up. Associations between patient characteristics, class membership, and outcomes were examined using chi-square, analysis of variance, and Poisson regression.

RESULTS

The study included 301 patients (74% male, mean age 64 ± 11.9 years). Three classes were identified: Multi-Symptom (N = 119, 40%), Tired-Rundown (N = 130, 43%), and Mostly Asymptomatic (N = 52, 17%). Patients in the Multi-Symptom class were younger (59.9 years, P < 0.001) and reported more anxiety (P < 0.001) and depression (P < 0.01) than the other classes. Membership in the Multi-Symptom class predicted lower quality of life and resulted in nearly double the rate of hospitalizations after 12 months (P = 0.02, IRR 1.9).

CONCLUSION

Evaluation of symptom profiles after ICD implantation offers a promising strategy for identifying patients at risk for poor health outcomes.

Effect of Rehabilitation on Sleep Quality After Ablation for Atrial Fibrillation: Data From a Randomized Trial

BACKGROUND

Low sleep quality is common in patients with atrial fibrillation (AF). Positive effects of cardiac rehabilitation on patients treated for AF with ablation have been found, but whether cardiac rehabilitation affects sleep quality is unknown. The objectives of this study were to investigate (1) differences in sleep quality between cardiac rehabilitation and usual care groups and (2) whether other factors could affect sleep quality.

METHODS

From the randomized CopenHeartRFA trial, 210 patients treated for AF with ablation were included. A rehabilitation program consisting of physical exercise and psychoeducational consultations was tested. Sleep quality was measured with the Pittsburg Sleep Quality Index (PSQI) questionnaire before intervention and at the end of intervention. Anxiety, depression, and European Heart Rhythm Association scores were assessed.

RESULTS

No difference between groups in sleep quality was found (PSQI global mean [SD] score, 6.60 [3.61] points for the cardiac rehabilitation group [n = 83] and 6.08 [3.60] points for the usual care group [n = 90]; P = .34), although improvements in sleep quality were noted in both groups. Sleep latency, duration, and efficiency were significant by type of AF at 1 month. Anxiety, depression, and higher European Heart Rhythm Association scores at 4 months were associated with a higher PSQI global mean score at the end of intervention.

CONCLUSION

The rehabilitation program showed no effect on sleep quality. A large proportion of patients reported poor sleep quality, and patients reporting anxiety, depression, or AF symptoms described worse sleep quality compared with patients who did not experience anxiety, depression, or AF symptoms. More research in the field is warranted.

Cognitive performance in patients with implantable cardioverter defibrillators: Associations with objective sleep duration, age and anxiety

Sleep disturbance and anxiety are highly prevalent in patients with implantable cardiac defibrillators (ICDs). There is limited research, however, on the associations between cognitive performance and sleep parameters, age and anxiety. Forty-one patients with ICDs and self-reported sleep disturbance completed 14 days of actigraphy (M_age  = 60.3, SD = 12.3) measuring total sleep time (TST), and a computerized cognitive test battery measuring processing speed and attention (i.e. simple reaction time and symbol digit modality task [SDMT]) and executive function (i.e. flanker task, letter series task and N-back task). Multiple regressions determined whether independent effects of TST, age and anxiety, as well as interactive effects of TST and age, predicted cognitive performance. TST predicted performance on two tasks of executive function (i.e. letter series and N-back task), as well as an attentional vigilance and processing speed task (i.e. SDMT), and this did not depend on patient age. On letter series, N-back and SDMT, longer TST predicted better performance. Increasing age was a predictor of worse performance on SDMT and flanker tasks. No other predictors were associated with task performance. Results show that sleep duration, not anxiety, may be an important predictor of higher-order cognitive functioning and lower-order tasks measuring processing speed and attention in ICD patients, with longer sleep duration showing greater benefit for performance.

Sleep disturbance in patients with an implantable cardioverter defibrillator: Prevalence, predictors and impact on health status

Background:

Sleep disturbances are highly prevalent in patients with cardiac diseases and associated with poor health outcomes. However, little is known about sleep disturbance in patients with an implantable cardioverter defibrillator.

Aims:

We examined the prevalence and predictors of sleep disturbance and the impact on perceived health status in a Dutch cohort of implantable cardioverter defibrillator patients.

Methods:

Patients (n=195) enrolled in the Web-based distress program for implantable cardioverter defibrillator patients (WEBCARE) trial completed questionnaires at the time of implantable cardioverter defibrillator implantation, three, six and 12 months afterwards. Sleep disturbance was assessed with the corresponding item #3 of the Patient Health Questionnaire 9.

Results:

At baseline, 67% (n=130) reported sleep disturbance (cut off ≥1). One year later, the prevalence was 57% (n=112). Younger age (odds ratio=0.96, 95% confidence interval 0.92–0.99; p=0.012) and high negative affectivity/low social inhibition (odds ratio=4.47, 95% confidence interval 1.52–13.17; p=0.007) were associated with sleep disturbance at 12 months in adjusted analyses. Sleep disturbance was not associated with health status at 12 months. Charlson Comorbidity Index, anxiety, Type D personality and high negative affectivity/low social inhibition were associated with impaired health status at follow-up.

Conclusions:

Sleep disturbance was highly prevalent in patients with an implantable cardioverter defibrillator. Younger age and high negative affectivity predicted sleep disturbance 12 months post-implantation independent of other demographic, clinical, intervention and psychological covariates. Sleep disturbance was not associated with impaired health status at the 12-month follow-up.

Patient-centred care of patients with ventricular arrhythmias and risk of sudden cardiac death: What do the 2015 European Society of Cardiology guidelines add?

Nurses and allied professionals are at the forefront of care delivery in patients with arrythmogenic risk and have a responsibility to deliver care that is focused on their individual needs. The 2015 European Society of Cardiology guideline on prevention of ventricular arrhythmia and sudden cardiac death heralds a step-change in patient and family focus and interdisciplinary involvement. This development reflects a recognition within the European Society of Cardiology that chronic care of patients with cardiovascular conditions can be improved by involving all stakeholders, making use of multidisciplinary interventions, and placing the patient at the centre of the care process. In this article, taskforce contributors discuss the latest evidence and highlight some of the most pertinent issues for nurses involved in patient-centred care of patients and families with ventricular arrhythmias and/or risk of sudden death.

Sleep, Psychosocial Functioning, and Device-Specific Adjustment in Patients with Implantable Cardioverter Defibrillators (ICDs)

Rates of sleep disorders and associated adjustment were examined in patients with implantable cardioverter defibrillators (ICDs; n = 42; Mage = 61.57, SD = 12.60). One night of ambulatory polysomnography, 14 days of sleep diaries, and questionnaires (mood, sleepiness, fatigue, device acceptance) were administered. Controlling for ischemia, MANCOVA examined adjustment by sleep diagnosis. Apnea was most common (28.6%), followed by Insomnia (16.7%) and Comorbid Insomnia/Apnea (11.9%). Patients with insomnia reported poorer mood, greater sleepiness, and lower device acceptance than good sleepers; they also demonstrated poorer mood and less ICD device acceptance than patients with sleep apnea. Patients with comorbid insomnia/apnea also exhibited poorer mood and less ICD device acceptance than good sleepers; however, comorbid patients did not significantly differ from insomnia or apnea patients on any measure. Those with disordered sleep (regardless of type) reported greater fatigue than good sleepers. Assessment (and treatment) of difficulties with sleep, mood, fatigue, and device acceptance may be important for the comprehensive clinical management of ICD patients. Further research appears warranted.

Ayurvedic doshas as predictors of sleep quality

Background

The 3 Ayurvedic constitutional types or Doshas – vata, pitta, and kapha – are responsible for homeostasis and health. The doshas determine various functions, including sleep. According to the Ayurvedic texts, sleep is caused by increased kapha and insomnia by increased vata or pitta, which may follow physical or mental exertion, or disease. The present study was carried out to determine whether this relationship could be found using contemporary standardized questionnaires.

Material/Methods

In this cross-sectional single-group study, 995 persons participated (646 males; group average age ±S.D., 49.1±15.2 years). Participants were attending a 1-week residential yoga program in northern India. Participants were assessed for dosha scores using a Tridosha questionnaire and the quality of sleep in the preceding week was self-rated using a sleep rating questionnaire.

Results

Multiple linear regression analyses were used to determine if each dosha acted as a predictor of quality and quantity of sleep. Vata scores significantly predicted the time taken to fall asleep [p<0.01], and the feeling of being rested in the morning [p<0.001]; with higher vata scores being associated with a longer time to fall asleep and a lesser feeling of being rested in the morning. Kapha scores significantly predicted day-time somnolence [p<0.05] and the duration of day-time naps in minutes [p<0.05], with higher kapha scores being associated with longer day-time naps.

Conclusions

The results suggest that the doshas can influence the quality and quantity of sleep.