Sleep Quality During and After Cardiothoracic Intensive Care and Psychological Health During Recovery

Evidence-based interventions to improve sleep quality after thoracic surgery:A retrospective analysis of clinical studies

OBJECTIVE

To investigate and rank the evidence for the efficacy of interventions in improving sleep quality after cardiac surgery using comprehensive comparisons.

BACKGROUND

Clinical evidence suggests that over 80 % of adult cardiac surgery patients experience sleep disturbances during the first week postoperatively. While certain interventions have been shown to improve post-thoracic surgery sleep quality, a systematic description of the effects of these varied interventions is lacking.

METHODS

This systematic search was conducted across PubMed, Web of Science, Cochrane, Embase, and CINAHL databases to collate all published randomized clinical trials as evidence. Two researchers independently extracted pertinent information from eligible trials and assessed the quality of included studies. Based on statistical heterogeneity, traditional meta-analysis using fixed or random-effects models was employed to assess the efficacy of interventions, and a Frequentist network meta-analysis using a consistency model was conducted to rank the effectiveness of intervention protocols.

RESULTS

Our review incorporated 37 articles (n = 3569), encompassing 46 interventions, including 9 reports on pharmacological interventions (24.3 %), 28 on non-pharmacological interventions (75.7 %), and 5 on anesthetic management interventions (13.5 %). The analysis indicated the efficacy of Benson's relaxation technique, Progressive muscle relaxation, Education, Aromatherapy, Acupressure, Massage, and Eye masks in enhancing postoperative sleep quality. Specifically, Benson's relaxation technique (cumulative ranking curve area: 0.80; probability: 98.3 %) and Acupressure (cumulative ranking curve area: 0.96; probability: 58.3 %) were associated with the highest probability of successfully improving postoperative sleep quality, while Progressive muscle relaxation (cumulative ranking curve area: 0.70; probability: 35.2 %) and Eye masks (cumulative ranking curve area: 0.81; probability: 78.8 %) were considered secondary options. Eye masks and Massage significantly reduced postoperative sleep latency, with Eye masks (cumulative ranking curve area: 0.82; probability: 51.0 %) being most likely to enhance sleep quality postoperatively, followed by Massage (cumulative ranking curve area: 0.60; probability: 27.2 %). Education, Music, Massage, Eye masks, and Handholding were effective in alleviating pain intensity, with Education being most likely to successfully reduce postoperative pain (cumulative ranking curve area: 0.92; probability: 54.3 %), followed by Music (cumulative ranking curve area: 0.91; probability: 54 %).

CONCLUSIONS

Our findings can be utilized to optimize strategies for managing post-thoracic surgery sleep disturbances and to develop evidence-based approaches for this purpose. Benson's relaxation technique, Progressive muscle relaxation, Education, Aromatherapy, Acupressure, Massage, and Eye masks significantly improve sleep quality in postoperative patients. KEY: disorders of initiating and maintaining sleep, sleep wake disorders, thoracic surgical procedures, cardiac surgical procedures, sleep quality, pain, network meta-analysis.

Perioperative Sleep Disturbance in Surgical Patients: A Concept Analysis

To investigate and define the concept of perioperative sleep disturbance (PSD) among surgical patients, with the goal of aiding clinical practice and research. Walker and Avant's eight-step approach of concept analysis was applied. A systematic search of English literature was conducted in the following databases: PubMed, Web of Science, and CINAHL, with a time restriction from 2010 to August 2023. Based on the 54 eligible studies, the attributes of PSD in surgical patients were identified as individualized symptom manifestation, difficulty initiating and/or maintaining sleep, and altered sleep patterns. The antecedents included poor psychological state, inaccurate perception, surgery and/or anesthesia-related physiological changes, and environmental interference. PSD in surgical patients was found to result in physical discomfort, psychological disorder, impaired neurocognitive function, and prolonged recovery. A clearly defined and distinguishable concept of PSD in surgical patients was achieved through concept analysis, which provides a conceptual basis for future development in both clinical practice and related research.

Pain and sleep after open-heart surgery-inhalation peppermint essence: double-blind randomized clinical trial

OBJECTIVE

The aim of this study was to determine the effect of inhaling peppermint essence on pain relief and sleep quality after open-heart surgery.

METHODS

In a double-blind randomised clinical trial carried out in Iran in 2020, 64 cardiac patients were selected by convenience sampling and randomly allocated to aromatherapy (n=32) and placebo (n=32) groups. The aromatherapy and control groups received inhaled aromatherapy using peppermint essence and distilled water, respectively. Data gathering tools were the Numeric Pain Rating Scale and St Mary's Hospital Sleep Questionnaire. Data were analysed using an independent t-test, χ2 test, Mann-Whitney U test and generalised estimating equation analysis.

RESULTS

The mean severity of pain in the aromatherapy and placebo groups was 3.22±0.88 and 4.56±0.90, respectively, which was a statistically significant difference (p=0.0001). The mean sleep scores after the intervention on day 1 were 20.10±4.90 and 25.76±6.36 in the aromatherapy and placebo groups, respectively, and 18.63±5.56 and 22.62±5.69, respectively, on day 2. The difference between the two groups was statistically significantly different after the intervention in terms of sleep quality (p<0.05).

CONCLUSION

Aromatherapy attenuated pain and improved sleep quality after open-heart surgery. Peppermint essence aromatherapy is therefore recommended after surgery.

Effects of Acupuncture-Point Stimulation on Perioperative Sleep Disorders: A Systematic Review with Meta-Analysis and Trial Sequential Analysis

Background

Perioperative sleep disorders exert a severe adverse impact on postoperative recovery. Recently, some observational studies reported that acupuncture-point stimulation (APS) provided benefits for promoting perioperative sleep quality. However, the effects of APS on perioperative sleep disorders following general anesthesia have not been thoroughly assessed by any systematic study and meta-analysis. Therefore, we conducted this systematic review and meta-analysis to reveal the effects of APS on perioperative sleep disorders.

Methods

Eight databases (Chinese: CNKI, VIP, CBM, and Wanfang; English: PubMed, Embase, Web of Science, and Cochrane Library) were thoroughly searched to find randomized controlled trials (RCTs) that indicated a link between APS and the occurrence of perioperative sleep disorders. We applied RevMan 5.4 (Cochrane Collaboration) and Stata 16.0 (Stata Corp) to conduct our meta-analysis. In addition, the trial sequential analysis (TSA) tool was utilized to estimate the validity and reliability of the data.

Results

In this study, nine RCTs with 719 patients were conducted. Compared to the control group, APS significantly improved perioperative subjective sleep quality (SMD: -1.36; 95% CI: -1.71 to -1.01; P < 0.00001). Besides, it increased perioperative TST (preoperative period MD = 24.29, 95% CI: 6.4 to 42.18, P = 0.0008; postoperative period MD = 45.86, 95% CI: 30.00 to 61.71, P < 0.00001) and SE (preoperative MD = 3.62, 95% CI: 2.84 to 4.39, P < 0.00001; postoperative MD = 6.43, 95% CI: 0.95 to 11.73, P < 0.00001). The consequence of trial sequential analysis further confirmed the reliability of our meta-analysis results.

Conclusion

According to the currently available evidence, APS could effectively improve perioperative sleep quality and play an essential role in decreasing the incidence of perioperative sleep disorders.

Association between Acute Respiratory Distress Syndrome Due to COVID-19 and Long-Term Sleep and Circadian Sleep-Wake Disorders

Current studies agree on the impact of sleep and circadian rest-activity rhythm alterations in acute respiratory distress syndrome (ARDS) survivors. However, research on the duration of this impact is scarce. In this study, we evaluate the impact of ARDS on the sleep and circadian rest-activity rhythm of COVID-19 survivors twelve months after hospital discharge. This is a prospective study including COVID-19 survivors with and without ARDS during hospitalization. Data was collected four and twelve months after hospital discharge. The interventions included one-week wrist actigraphy and a home sleep apnea test (HSAT), and evaluations were conducted according to the Pittsburgh sleep quality index (PSQI), Epworth sleepiness scale (ESS), and insomnia severity index (ISI). Fifty-two patients were evaluated (ARDS = 31 and non-ARDS = 21); they had a median age of 49.0 [39.0;57.2] years and 53.8% were male. After twelve months, 91.3% presented poor sleep quality, 58.7% presented insomnia, 50% presented daytime somnolence, and 37% presented comorbid insomnia and obstructive sleep apnea (COMISA). No significant improvement was observed in relation to sleep or the circadian rest-activity rhythm between four and twelve months. A tendency of poor sleep quality, insomnia, daytime somnolence, and COMISA was observed. Finally, there was no significant impact on the circadian rest-activity rhythm between four and twelve months or between the groups.

Dynamic prevalence of sleep disturbance among critically ill patients in intensive care units and after hospitalisation: A systematic review and meta-analysis

BACKGROUND

Sleep disturbance is a common complaint among critically ill patients in intensive care units and after hospitalisation. However, the prevalence of sleep disturbance among critically ill patients varies widely.

OBJECTIVE

To estimate the prevalence of sleep disturbance among critically ill patients in the intensive care unit and after hospitalisation.

METHODS

Electronic databases were searched from their inception until 15 August 2022. Only observational studies with cross-sectional, prospective, and retrospective designs investigating sleep disturbance prevalence among critically ill adults (aged ≥ 18 years) during intensive care unit stay and after hospitalisation were included.

RESULTS

We found 13 studies investigating sleep disturbance prevalence in intensive care units and 14 investigating sleep disturbance prevalence after hospitalisation, with 1,228 and 3,065 participants, respectively. The prevalence of sleep disturbance during an ICU stay was 66 %, and at two, three, six and ≥ 12 months after hospitalisation was 64 %, 49 %, 40 %, and 28 %, respectively. Studies using the Richards-Campbell Sleep Questionnaire detected a higher prevalence of sleep disturbance among patients in intensive care units than non-intensive care unit specific questionnaires; studies reported comparable sleep disturbance prevalence during intensive care stays for patients with and without mechanical ventilation.

CONCLUSION

Sleep disturbance is prevalent in critically ill patients admitted to an intensive care unit and persists for up to one year after hospitalisation, with prevalence ranging from 28 % to 66 %. The study results highlight the importance of implementing effective interventions as early as possible to improve intensive care unit sleep quality.

Investigation of the Sleep Quality Among Hospitalized Cardiovascular Patients Using Regression Models and Qualitative Comparative Analysis

This study aimed to explore the relationships between modifiable and non-modifiable factors that influence sleep quality in hospitalized patients with cardiovascular disease in China. This study design was cross-sectional and descriptive. This study involved a convenience sample of 242 patients hospitalized for cardiovascular issues. Hierarchical regression model and qualitative comparative analysis model were performed. Regression revealed that age and depression both had statistically significant effects on sleep quality. The combination of conditions with strongest predictive effect on sleep quality was male of younger age, high level of depression, high level of anxiety, and low level of social support. Other combinations with predictive power on sleep quality are as follows: (1) younger male patients (aged 47-63 years) with high level of anxiety, high level of social support, and low level of depression; (2) older male patients (aged 63-79 years) with high level of depression, high level of social support, and low levels of anxiety; and (3) older male patients with high level of anxiety and low level of social support. Nurses may promote primary and secondary prevention of cardiovascular health prior to hospitalization, through routine screening for depressive and anxious symptoms and assessment of the patient's social support network. It is unknown whether these findings are unique to hospitalized patients. Therefore, future work should assess the fit of the model to other more diverse groups of hospitalized patients.

Sleep patterns and potential risk factors for disturbed sleep quality in patients after surgery for infective endocarditis

Background

The current study aimed to investigate the sleep quality of patients after valve replacement surgery due to infective endocarditis and identify risk factors for disturbed sleep post hospitalisation.

Methods

Eighty patients were assessed postoperatively using subjective scale measures, the Pittsburgh sleep quality index (PSQI) and the Epworth sleepiness scale, and an objective measure, actigraphy. Scale measures were assessed approximately 2 weeks and 6 months after surgery. Actigraphy monitoring was performed for 2 consecutive weeks during hospitalisation. Logistic regression was used to identify risk factors for disturbed sleep.

Results

The study population (n = 80) had an average age of 42.8 ± 14.2 years, and 67.5% were male. The median sleep efficiency was 85.3% in week 1 and 86.8% in week 2. The frequency of awakenings was significantly higher in week 1 (20.0 times vs. 19.3 times, p = 0.017). The scale measures showed significant improvement in sleep by 6 months after surgery compared to that during hospitalisation. Multivariable logistic regression analysis suggested that the possible risk factors for disturbed sleep 6 months after surgery included age (OR = 1.479, 95%CI 1.140–1.920) and a few parameters of early postoperative disturbed sleep quality (PSQI: OR = 2.921, 95%CI 1.431–5.963; sleep efficiency: OR = 0.402, 95%CI 0.206–0.783; and average duration of awakenings: OR = 0.006, 95%CI 0.000–0.827).

Conclusions

Disturbed sleep quality was witnessed in postoperative patients during hospitalisation and up to 6 months after surgery. Over time, the patients’ sleep quality improved significantly. Age and a few early postoperative sleep quality variables were risk factors for disturbed sleep 6 months after surgery.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13019-022-01828-4.

Sensitivity and specificity of proposed Richards‐Campbell Sleep Questionnaire cut‐off scores for good quality sleep during an ICU stay

BACKGROUND

The 5-visual analogue scale Richards-Campbell Sleep Questionnaire subjective sleep measure is widely used in intensive care. A cut-off score indicative of good quality sleep has not been established and is required to guide the categorisation of individual patient and unit wide sleep quality.

DESIGN AND METHODS

The aim was to determine the global Richards-Campbell Sleep Questionnaire cut-off score for good to very good sleep during an intensive care unit stay in non-ventilated patients. The study was a secondary (cohort) retrospective analysis of patient self-report data (n = 32) from an interventional study testing a sleep promotion bundle. The Standards for Reporting Diagnostic Accuracy studies statement were used to report the study. The study was conducted in two mixed adult 12 and 20-bed ICUs of a tertiary referral hospital in a metropolitan area. In the morning, eligible patients were administered the Richards-Campbell Sleep Questionnaire together with a 5-category item Likert scale in which patients rated their nocturnal sleep quality as 'very poor', 'poor', 'fair', 'good' and 'very good'. Receiver Operator Curve analysis was performed.

RESULTS

Thirty-seven per cent (n = 32) of the total sample of 84 adult intensive care patients were females. The median age was 61.5 (51, 72) years. Self-reported median global Richards-Campbell Sleep Questionnaire score was 54.4 (30.1, 77.1) mm. A global score of ≥63.4 mm was the optimal cut-off for self-reported 'good sleep' (sensitivity: 87%, specificity: 81% and area under the curve: 0.896).

CONCLUSIONS

Although the study requires replication in ventilated patients and other ICU settings, the cut-off score (63 mm) could be used to guide the categorisation of individual patient and unit wide sleep quality.

The accuracy of simple, feasible alternatives to polysomnography for assessing sleep in intensive care: An observational study

BACKGROUND

Sleep disturbance is common in intensive care patients. Understanding the accuracy of simple, feasible sleep measurement techniques is essential to informing their possible role in usual clinical care.

OBJECTIVE

The aim of the study was to investigate whether sleep monitoring techniques such as actigraphy (ACTG), behavioural assessments, and patient surveys are comparable with polysomnography (PSG) in accurately reporting sleep quantity and quality among conscious, intensive care patients.

METHODS

An observational study was conducted in 20 patients admitted to the intensive care unit (ICU) for a minimum duration of 24 h, who underwent concurrent sleep monitoring via PSG, ACTG, nursing-based observations, and self-reported assessment using the Richards-Campbell Sleep Questionnaire.

RESULTS

The reported total sleep time (TST) for the 20 participants measured by PSG was 328.2 min (±106 min) compared with ACTG (362.4 min [±62.1 min]; mean difference = 34.22 min [±129 min]). Bland-Altman analysis indicated that PSG and ACTG demonstrated clinical agreement and did not perform differently across a number of sleep variables including TST, awakening, sleep-onset latency, and sleep efficiency. Nursing observations overestimated sleep duration compared to PSG TST (mean difference = 9.95 ± 136.3 min, p > 0.05), and patient-reported TST was underestimated compared to PSG TST (mean difference = -51.81 ± 144.1 7, p > 0.05).

CONCLUSIONS

Amongst conscious patients treated in the ICU, sleep characteristics measured by ACTG were similar to those measured by PSG. ACTG may provide a clinically feasible and acceptable proxy approach to sleep monitoring in conscious ICU patients.

Postoperative poor sleep quality and its associated factors among adult patients: A multicenter cross-sectional study

Background

Sleep quality refers to a sense of being refreshed and rested after waking up from sleep. Postoperative patients were vulnerable to poor sleep quality due to having different contributing factors. The prevalence of poor sleep quality among postsurgical patients was left undisclosed in our study setting. Knowing the prevalence and contributing factors for poor sleep quality helps us to develop a strategic plan for prevention and management.

Method and materials

A multicenter cross-sectional study design was conducted on 424 postsurgical patients who were selected by a systematic random sampling method. Data was collected using the Pittsburgh Sleep Quality Index by a face-to-face interview. Data analysis was done using SPSS version 25. For categorical data, a chi-square test was done. Bivariable and multivariable analyses were performed to determine whether each of the independent variables is associated with the outcome variable.

Result

Based on this study result, the prevalence of poor sleep quality was 64.9%. Among the factors included in this study, variables which had an association with poor postoperative sleep quality were age range 25–54 years (AOR = 15.13), male gender (AOR = 4.81), educational level of secondary school (AOR = 6.29), patient income less than 2500 birr (AOR = 3.77), anxiety (AOR = 2.53), depression(AOR = 22.8), light exposure(AOR = 19.60), poor social support (AOR = 1.98), being emergency surgery (AOR = 2.46) and having a history of moderate to severe pain (AOR = 38.18, (95% CI).

Conclusion

Poor sleep quality among adult post-surgical patients was significantly high in Amhara regional comprehensive referral hospitals. Therefore; Clinicians need to prioritize postoperative sleep quality assessment and needs to minimize factors inducing postoperative sleep disturbances.

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The prevalence of postoperative poor sleep quality was 64.9%.

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Pain is associated with poor sleep qualities.

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Postoperative sleep quality was poorly managed.

The Assessment of Sleep Quality in Patients Following Valve Repair and Valve Replacement for Infective Endocarditis: A Retrospective Study at a Single Center

Background

The aim of this study was to measure sleep quality among patients who underwent infective endocarditis (IE) surgery and identify the risk factors involved in sleep disorders.

Material/Methods

In this study, we used actigraphy, the Pittsburgh Sleep Quality Index (PSQI), and Epworth Sleep Scale (ESS) to determine the clinical characteristics of sleep disorders in 116 patients with IE who were in rehabilitation after surgery.

Results

Our results showed that 46 (39.7%) patients had sleep efficiency over 85%, while 70 (60.3%) patients had sleep efficiency below 85%. The correlation analysis showed that sleep efficiency was related to the duration of the disease, with a longer duration leading to lower sleep efficiency (P=0.031). The sleep efficiency of patients with IE following surgery was also affected by alcohol consumption; however, surprisingly, patients with “heavy” alcohol consumption had higher sleep efficiency (P=0.030). We found a significant correlation between sleep efficiency and postoperative interleukin-6 (IL) levels, C-reactive protein (CRP) levels, and preoperative erythrocyte sedimentation rate (P<0.05). No significant correlation was found between brain natriuretic peptide levels and sleep efficiency, PSQI score, or ESS score. Postoperative hemoglobin (Hb) level was associated with sleep efficiency (R=0.194, P=0.036), but there was no statistically significant correlation between the PSQI and ESS scores. Postoperative alanine transaminase (ALT) showed a significant negative correlation with sleep efficiency (R=−0.27, P=0.003).

Conclusions

We found a high prevalence of sleep disorders in patients with IE along with an increase in inflammatory factors, including postoperative IL-6, CRP, ALT, and Hb levels.

Perioperative Sleep Disorder: A Review

Patients in the perioperative period usually present with different types and degrees of sleep disorders, which can severely affect their post-operative outcomes. Multiple risk factors may lead to the occurrence of perioperative sleep disorders, including personal factors, psychological factors, surgery factors, and environmental factors. In this review, we summarize the potential risk factors for perioperative sleep disorders during hospitalization. And it also provides an overview of perioperative outcomes and potential therapeutic prevention of perioperative sleep disorders. However, the further search is necessary to investigate the effectiveness and safety of preventions in the clinical practice and push forward the therapies.

Investigating the construct and concurrent validity of the Richards-Campbell Sleep Questionnaire with intensive care unit patients and home sleepers

BACKGROUND

Sleep is vital to our wellbeing. Critically ill patients are vulnerable with effects of sleep deprivation including weakened immune function, decreased glucose tolerance, and increased sympathetic activity. Intensive care unit (ICU) patients' sleep evaluation is difficult and often not reliable. The most commonly used instrument for assessing ICU patients' perspective of their sleep, Richards-Campbell Sleep Questionnaire (RCSQ), has not been reported to have undergone known-group construct validity testing or concurrent validity testing with the criterion measure of feeling refreshed.

OBJECTIVES

The aim of the study was to explore the construct validity of the RCSQ with known-groups technique and concurrent validity with the criterion measure of feeling refreshed on awakening.

METHODS

A cross-sectional descriptive survey study using the RCSQ was conducted on people sleeping at home (n = 114) over seven nights. The results were compared with the RCSQ sleep scores of nonintubated alert oriented adult ICU patients (n = 114). Home sleepers were also asked to rate how refreshed they felt on awakening. The study was executed and reported in accordance with the STROBE checklist for observational studies.

FINDINGS

RCSQ construct validity was supported because home sleepers' and ICU sleepers' sleep evaluations differed significantly. Home sleepers rated their sleep significantly better than ICU patients in all five sleep domains of the RCSQ. Concurrent validity was supported because the item "feeling refreshed on awakening" correlated strongly with all sleep domains.

CONCLUSIONS

Sleep quality may be accurately measured using the RCSQ in alert people both in the ICU and at home. This study has added to the validity discussion around the RCSQ. The RCSQ can be used for sleep evaluation in ICUs to promote wellbeing and recovery.

Intensive Care Unit Environment and Sleep

Patients undergoing treatment in intensive care unit are in an extremely vulnerable state and require a complex multidisciplinary approach. Adequate sleep is required to maintain physiologic functions of the human body. Good sleep quality plays a vital role in the process of recovery. Sleep disruption in intensive care settings is a well-known fact. The consequences of sleep deprivation can cause numerous complications including delayed mechanical ventilation wean, neurocognitive dysfunction, decreased immune function and increased mortality rates. This review describes how the intensive care unit environment impacts sleep architecture.

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.

Efficacy of Valerian Extract on Sleep Quality after Coronary Artery bypass Graft Surgery: A Triple-Blind Randomized Controlled Trial

OBJECTIVE

To assess the effect of valerian root extract on the sleep quality of patients after coronary artery bypass graft (CABG) surgery.

METHODS

The patients who participated in this triple-blind clinical trial were selected by permuted block randomization. The participants were assigned to the valerian (n=36) and placebo (n=36) groups. The valerian group received 530 mg of valerian capsules for 30 nights after CABG surgery, and the placebo group received 530 mg of the placebo capsules containing wheat flour. The Pittsburgh Sleep Quality Index (PSQI), the prothrombin time (PT) and partial thromboplastin time (PTT) were assessed on four occasions, including the baseline, the 3rd, 14th and 30th days following intervention.

RESULTS

The odds ratio of worsened sleep quality significantly varied over time (the interaction of time and group) in the valerian group compared to the placebo group in various dimensions including total sleep quality (P=0.001), sleep latency (P<0.01), sleep duration (P=0.020), sleep efficiency (P=0.001) and daytime dysfunction (P=0.025). No significant difference was observed in the alterations of the odds ratio of PT in the two groups over time. (P=0.371).

CONCLUSION

The consumption of oral valerian root extract over 30 nights could significantly improve the patients' sleep quality safely after CABG surgery.

Comparisons between Insomnia Incidence after Coronary Artery Bypass Graft Surgery with Coronary Angioplasty

Background:

The aim of this study was to investigate the incidence of insomnia after coronary angioplasty and coronary artery bypass graft surgery (CABG) and compare them.

Materials and Methods:

This cross-sectional study was done in Masih Daneshvari and Emam Hossein Hospital of Tehran during a period of 12 months in 2016. The study group consisted of patients who were admitted to these hospitals with heart disease and had to go under CABG or angioplasty. Each participant completed a detailed Persian version of the insomnia severity index and demographic questionnaire which includes demographic questions and questions about the onset or durability of sleep as well as questions about the use of alcohol, caffeine, cigarettes, and sleeping drugs 2 days before the surgery and 1 week after that. The state of insomnia was measured before and after the CABG and compared with the state of insomnia before and after angioplasty.

Results:

About 150 patients were included in the study (80 men [67.4%] and 70 women [43.6%]). In the CABG group, 14.67% of the preoperative patients and 24.0% of the patients after the operation had insomnia, and the difference between them was significant (P = 0.003). Furthermore, in the angioplasty group, 14.67% of the preoperative patients and 20.0% of the patients after the operation had insomnia, and the difference between them was significant (P = 0.001).

Conclusion:

Insomnia after both CABG and angioplasty was significantly increased but in CABG group this increase was more than angioplasty.

Self-reported sleep quality and depression in post myocardial infarction patients attending cardiology outpatient clinics in Oman

Objective

This study aimed to examine the sleep quality and prevalence of depression in post myocardial infarction patients attending cardiology outpatient clinics of selected hospitals in Oman.

Methods

A descriptive cross-sectional design was used to collect data from patients (n = 180) who were at least 4 weeks post myocardial infarction diagnosis and receiving follow-up care in the outpatient clinic. The Arabic version of the Pittsburgh Sleep Quality Index and Patient Health Questionnaire-9 were used to assess sleep quality and depressive symptoms, respectively.

Results

The sample mean age was 62.0 ± 11.3 years. Poor sleep quality affected 61.1% of the participants. The significant predictors of poor sleep quality were gender (P ≤ 0.05), body mass index (P ≤ 0.05), and self-reported regular exercise (P ≤ 0.01). The most impacted domains of sleep quality were sleep latency, sleep duration, and sleep disturbances. The prevalence of major depression was low (5%) and the rate of re-infarction was 27.2%. The prevalence of minimal to mild major depression with a potential of transitioning into major depression overtime was very high. Self-reported regular exercise (P ≤ 0.01) was the only significant predictor of depressive symptoms.

Conclusion

The sleep quality of post myocardial infarction patients was poor and the prevalence of depression was low. There was no significant relationship between sleep quality or depression with re-infarction.