Sleep Quality and Quantity in Intensive Care Unit Patients: A Cross-sectional Study

Sleep in the intensive and intermediate care units: Exploring related factors of delirium, benzodiazepine use and mortality

AIM OF THE STUDY

The primary purpose was to examine sleep difficulties and delirium in the Intensive and Intermediate Care Unit. Secondarily, factors impacting night-time sleep duration and quality, mortality, and the impact of benzodiazepine use on sleep outcomes were investigated.

MATERIALS AND METHODS

This retrospective study encompassed data from 323 intensive and intermediate care unit admissions collected in the Netherlands, spanning from November 2018 to May 2020. Sleep quality was measured using the Richards-Campbell Sleep Questionnaire. Night-time sleep duration was nurse-reported. We investigated associations of these sleep outcomes with age, sex, length-of-stay, natural daylight, disease severity, mechanical ventilation, benzodiazepine use, and delirium using Generalized Estimating Equations models. Associations with one-year post-discharge mortality were analyzed using Cox regression.

RESULTS

Night-time sleep duration was short (median 4.5 hours) and sleep quality poor (mean score 4.9/10). Benzodiazepine use was common (24 % of included nights) and was negatively associated with night-time sleep duration and quality (B = -0.558 and -0.533, p <.001). Delirium and overnight transfers were negatively associated with sleep quality (B = -0.716 and -1.831, p <.05). The day-to-night sleep ratio was higher in the three days before delirium onset than in non-delirious individuals (p <.05). Age, disease severity and female sex were associated with increased one-year mortality. Sleep quality was negatively, but not-significantly, associated with mortality (p =.070).

CONCLUSIONS

Night-time sleep in the critical care environment has a short duration and poor quality. Benzodiazepine use was not associated with improved sleep. Sleep patterns change ahead of delirium onset.

IMPLICATIONS FOR CLINICAL PRACTICE

Consistent sleep monitoring should be part of routine nursing practice, using a validated instrument like the Richards-Campbell Sleep Questionnaire. Given the lack of proven efficacy of benzodiazepines in promoting sleep in critical care settings, it is vital to develop more effective sleep treatments that include non-benzodiazepine medication and sleep hygiene strategies.

Effectiveness of sound and darkness interventions for critically ill patients' sleep quality: A systematic review and component network meta-analysis

BACKGROUND

Noise and lighting are prime factors of poor sleep quality in critically ill patients, which impair recovery and increase the risk of delirium or complications.

AIM

To identify and rank the effectiveness of sound and darkness interventions on the sleep quality of critically ill patients.

STUDY DESIGN

This systematic review and component network meta-analysis was based on the Preferred Reporting Items for Systematic Reviews incorporating the Network Meta-Analyses (PRISMA-NMA) Statement. The Embase, MEDLINE, Cochrane CENTRAL, CINAHL, Airiti Library, and Google Scholar databases were searched from inception to August 10, 2021, for randomized controlled trials (RCTs) on sound and darkness interventions targeting critically ill patients' sleep quality. We applied standard and component NMA to determine the effects of interventions. The certainty of evidence was evaluated using the Cochrane risk-of-bias tool (V.2.0) and the online Confidence in Network Meta-Analysis (CINeMA) application.

RESULTS

Twenty-four RCTs with 1507 participants who used combined interventions constituting seven competing interventions were included in the standard NMA. The combination of earplugs, eye masks, and music; eye masks alone; earplugs combined with eye masks; and music alone had beneficial intervention effects. The combination of earplugs, eye masks, and music was the best intervention, and these components had no interaction effect. An eye mask had the best relative effect, followed by music, quiet time, and earplugs.

CONCLUSIONS

This study provides clinical evidence of the effectiveness of using eye masks, music, and earplugs to improve sleep quality in critically ill patients. We also recommend future research using bedtime music, nocturnal eye masks, and quiet time, which had the best relative effects on sleep quality.

RELEVANCE TO CLINICAL PRACTICE

This study provides recommendations for interventions that nurses can use to improve critically ill patients' sleep quality.

An aromatherapy massage intervention on sleep in the ICU: A randomized controlled feasibility study

We conducted a feasibility randomized controlled trial exploring the effect of aromatherapy massage on sleep in critically ill patients. Patients were randomized to receive aromatherapy massage or usual care, and feasibility of recruitment and outcome data completion was captured. Sleep (depth) was assessed through Bispectral Index monitoring and self/nurse-reported Richards-Campbell Sleep Questionnaires, and the Sleep in the ICU Questionnaire. Thirty-four patients participated: 17 were randomized to aromatherapy massage and 17 to control. Five participants who received the intervention completed outcomes for analysis (alongside eight controls). A larger study was deemed unfeasible in this population, highlighting the value of testing feasibility of complex interventions, such as massage for sleep in ICU.

Development of the sleep quality scale for coronary care patients (SQ-CC)

OBJECTIVES

In this study, it was aimed to develop a valid and reliable measurement instrument to measure sleep quality in coronary care patients.

RESEARCH METHODOLOGY/DESIGN

This is a methodological study that was carried out with 201 patients at the coronary care unit of a university hospital. The validity and reliability of the scale were tested using exploratory and confirmatory factor analyses, Cronbach's alpha analysis, and Pearson's correlation analysis.

RESULTS

The scale's Cronbach's alpha coefficient was found to be 0.816. There were significant positive relationships between the overall scale and its dimensions. The Pearson's correlation analysis showed a significant negative relationship between the Sleep Quality Scale for Coronary Care Patients and the Richards-Campbell Sleep Questionnaire.

CONCLUSION

The Sleep Quality Scale for Coronary Care Patients was determined to be a valid and reliable measurement instrument for assessing the sleep quality of patients who are receiving care in coronary care units.

IMPLICATIONS FOR CLINICAL PRACTICE

The scale that was developed in this study can be applied to coronary care patients because it is easy to implement and specific to intensive care settings. This way, the sleep quality levels of patients can be assessed quickly, and nursing interventions for potential problems can be defined. Hence, the emergence of sleep-related health problems can be prevented. Although RCSQ is the most commonly used scale to evaluate the sleep quality of patients treated in the intensive care unit, SQ-CC is thought to be more inclusive in considering noise-, environment-, and patient-related subjective factors. The evaluation of environmental factors can also provide objective data for improvements to be made to eliminate these factors in clinics. Furthermore, the use of this scale in national and international scientific studies where the sleep quality of coronary care patients is evaluated will contribute to not only our colleagues but also the relevant scientific field.

Diagnostic Value of the Bispectral Index to Assess Sleep Quality after Elective Surgery in Intensive Care Unit

Purpose

Monitoring and improving sleep quality may help recovery from major illness. Polysomnography is a gold standard for measuring sleep quality, but routine use is not practical. The goal of this study is to investigate the diagnostic accuracy of an alternative monitor, the Bispectral Index (BIS), for evaluating the quality of sleep-in postoperative patients in the intensive care unit (ICU).

Study design

An observational study.

Materials and methods

Patients admitted to postoperative ICU after elective major noncardiac surgery were monitored with both BIS and PSG during the first night. The temporally synchronized data from both monitors were obtained for measurement of the association. Clinical outcomes were compared between patients with different postoperative sleep quality.

Results

Thirty-three patients were enrolled in this study. For determining the average BIS index associated with good postoperative sleep quality, receiver operating characteristics (ROC) curve was generated. Area under the ROC curve (AUC) was 0.65. The cutoff with best discriminability was 75 with a sensitivity of 68% and a specificity of 56%. Compared with those with good and poor postoperative sleep quality, there were no differences in main postoperative outcomes including duration of mechanical ventilation and ICU stay. Although the quality of sleep after surgery of all subjects with postoperative delirium was poor, the incidence of delirium between the groups did not significantly differ (0% vs 10.3%; p = 0.184).

Conclusion

The monitoring of BIS is a viable tool for evaluating sleep quality in mechanically ventilated patients in the postoperative ICU with acceptable precision.

Trial registration

www.clinicaltrials.in.th, TCTR20200310005.

How to cite this article

Sirilaksanamanon P, Thawitsri T, Charuluxananan S, Chirakalwasan N. Diagnostic Value of the Bispectral Index to Assess Sleep Quality after Elective Surgery in Intensive Care Unit. Indian J Crit Care Med 2023;27(11):795-800.

Factors influencing sleep quality in the intensive care unit: a descriptive pilot study in Korea

BACKGROUND

As sleep disturbances are common in the intensive care unit (ICU), this study assessed the sleep quality in the ICU and identified barriers to sleep.

METHODS

Patients admitted to the ICUs of a tertiary hospital between June 2022 and December 2022 who were not mechanically ventilated at enrollment were included. The quality of sleep (QoS) at home was assessed on a visual analog scale as part of an eight-item survey, while the QoS in the ICU was evaluated using the Korean version of the Richards-Campbell Sleep Questionnaire (K-RCSQ). Good QoS was defined by a score of ≥50.

RESULTS

Of the 30 patients in the study, 19 reported a QoS score <50. The Spearman correlation coefficient showed no meaningful relationship between the QoS at home and the overall K-RCSQ QoS score in the ICU (r=0.16, P=0.40). The most common barriers to sleep were physical discomfort (43%), being awoken for procedures (43%), and feeling unwell (37%); environmental factors including noise (30%) and light (13%) were also identified sources of sleep disruption. Physical discomfort (median [interquartile range]: 32 [28.0-38.0] vs. 69 [42.0-80.0], P=0.004), being awoken for procedures (36 [20.0-48.0] vs. 54 [36.0-80.0], P=0.04), and feeling unwell (31 [18.0-42.0] vs. 54 [40.0-76.0], P=0.01) were associated with lower K-RCSQ scores.

CONCLUSIONS

In the ICU, physical discomfort, patient care interactions, and feeling unwell were identified as barriers to sleep.

Sleep during and following critical illness: A narrative review

Sleep is a complex process influenced by biological and environmental factors. Disturbances of sleep quantity and quality occur frequently in the critically ill and remain prevalent in survivors for at least 12 mo. Sleep disturbances are associated with adverse outcomes across multiple organ systems but are most strongly linked to delirium and cognitive impairment. This review will outline the predisposing and precipitating factors for sleep disturbance, categorised into patient, environmental and treatment-related factors. The objective and subjective methodologies used to quantify sleep during critical illness will be reviewed. While polysomnography remains the gold-standard, its use in the critical care setting still presents many barriers. Other methodologies are needed to better understand the pathophysiology, epidemiology and treatment of sleep disturbance in this population. Subjective outcome measures, including the Richards-Campbell Sleep Questionnaire, are still required for trials involving a greater number of patients and provide valuable insight into patients’ experiences of disturbed sleep. Finally, sleep optimisation strategies are reviewed, including intervention bundles, ambient noise and light reduction, quiet time, and the use of ear plugs and eye masks. While drugs to improve sleep are frequently prescribed to patients in the ICU, evidence supporting their effectiveness is lacking.

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.

Hospital Strain and Variation in Sepsis ICU Admission Practices and Associated Outcomes

To understand how strain-process-outcome relationships in patients with sepsis may vary among hospitals.

DESIGN

Retrospective cohort study using a validated hospital capacity strain index as a within-hospital instrumental variable governing ICU versus ward admission, stratified by hospital.

SETTING

Twenty-seven U.S. hospitals from 2013 to 2018.

PATIENTS

High-acuity emergency department patients with sepsis who do not require life support therapies.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The mean predicted probability of ICU admission across strain deciles ranged from 4.9% (lowest ICU-utilizing hospital for sepsis without life support) to 61.2% (highest ICU-utilizing hospital for sepsis without life support). The difference in the predicted probabilities of ICU admission between the lowest and highest strain deciles ranged from 9.0% (least strain-sensitive hospital) to 45.2% (most strain-sensitive hospital). In pooled analyses, emergency department patients with sepsis (n = 90,150) experienced a 1.3-day longer median hospital length of stay (LOS) if admitted initially to the ICU compared with the ward, but across the 27 study hospitals (n = 517-6,564), this effect varied from 9.0 days shorter (95% CI, -10.8 to -7.2; p < 0.001) to 19.0 days longer (95% CI, 16.7-21.3; p < 0.001). Corresponding ranges for inhospital mortality with ICU compared with ward admission revealed odds ratios (ORs) from 0.16 (95% CI, 0.03-0.99; p = 0.04) to 4.62 (95% CI, 1.16-18.22; p = 0.02) among patients with sepsis (pooled OR = 1.48).

CONCLUSIONS

There is significant among-hospital variation in ICU admission rates for patients with sepsis not requiring life support therapies, how sensitive those ICU admission decisions are to hospital capacity strain, and the association of ICU admission with hospital LOS and hospital mortality. Hospital-level heterogeneity should be considered alongside patient-level heterogeneity in critical and acute care study design and interpretation.

What are the sleep characteristics among early kidney transplant recipients? An objective and subjective measurement from China

OBJECTIVE

To evaluate the sleep quality by self-reported questionnaires and polysomnography (PSG) among early kidney transplant recipients (KTRs) and to further explore their correlation.

DESIGN

This was a prospective and cross-sectional analysis of the sleep characteristics among early kidney transplant recipients through an objective and subjective measurement.

PARTICIPANTS

Patients with end stage renal disease on the transplant waiting list and after kidney transplantation were from a major organ transplantation center in Southern China (n = 83).

PRIMARY AND SECONDARY OUTCOME MEASUREMENTS

Objective outcomes: PSG, noise and light. Subjective outcomes: demographic and clinical questionnaires, self-reported pain and Richards Campbell sleep questionnaire (RCSQ). After agreement with the informed consent, participants first completed demographic and clinical questionnaires, then worn the PSG within 5-10 days after kidney transplantation. Both noise, light and self-reported pain were monitored during sleep. After completion of PSG, the RCSQs were filled out next morning.

RESULTS

A total of 298 patients were recruited and 83 participants were finally analyzed. The total RCSQ mean score was 51.0±18.9mm. The prevalence of poor sleep quality among early KTRs was 45.1%. Most of PSG characteristics were significantly correlated with their corresponding RCSQ items. And the total RCSQ scores were significantly correlated with the number of awakenings, the N2 percentage and the total sleep time (r = 0.79, 0.47 and 0.40, P<0.05) respectively. Noise was a statistically significant factor affecting the subjective sleep quality.

CONCLUSIONS

The sleep quality in early KTRs measured by both PSG and RCSQ exhibits consistency with each other. Sleep disruption always remains a substantial problem and is affected by self-reported noise among early KTRs. The RCSQ is easily applicable and interpretable so that it can be used for future daily clinical practice.

Sleep assessment in critically ill adults: A systematic review and meta-analysis

PURPOSE

To systematically review sleep evaluation, characterize sleep disruption, and explore effects of sleepdisruption on outcomes in adult ICU patients.

MATERIALS AND METHODS

We systematically searched databases from May 1969 to June 2021 (PROSPERO protocol number: CRD42020175581). Prospective and retrospective studies were included studying sleep in critically ill adults, excluding patients with sleep or psychiatric disorders. Meta-regression methods were applied when feasible.

RESULTS

132 studies (8797 patients) were included. Fifteen sleep assessment methods were identified, with only two validated. Patients had significant sleep disruption, with low sleep time, and low proportion of restorative rapid eye movement (REM). Sedation was associated with higher sleep efficiency and sleep time. Surgical versus medical patients had lower sleep quality. Patients on ventilation had a higher amount of light sleep. Meta-regression only suggested an association between total sleep time and occurrence of delirium (p < 0.001, 15 studies, 519 patients). Scarce data precluded further analyses. Sleep characterized with polysomnography (PSG) correlated well with actigraphy and Richards Campbell Sleep Questionnaire (RCSQ).

CONCLUSIONS

Sleep in critically ill patients is severely disturbed, and actigraphy and RCSQ seem reliable alternatives to PSG. Future studies should evaluate impact of sleep disruption on outcomes.

Sleep Spindles and K-Complexes Are Favorable Prognostic Biomarkers in Critically Ill Patients

SUMMARY

In this narrative review, we summarize recent research on the prognostic significance of biomarkers of sleep in continuous EEG and polysomnographic recordings in intensive care unit patients. Recent studies show the EEG biosignatures of non-rapid eye movement 2 sleep (sleep spindles and K-complexes) on continuous EEG in critically ill patients better predict functional outcomes and mortality than the ictal-interictal continuum patterns. Emergence of more complex and better organized sleep architecture has been shown to parallel neurocognitive recovery and correlate with functional outcomes in traumatic brain injury and strokes. Particularly interesting are studies which suggest intravenous dexmedetomidine may induce a more biomimetic non-rapid eye movement sleep state than intravenous propofol, potentially providing more restorative sleep and lessening delirium. Protocols to improve intensive care unit sleep and neurophysiological studies evaluating the effect of these on sleep and sleep architecture are here reviewed.

Subjective sleep quality among hospitalised adult patients: An observational, cross-sectional study

Background

Inpatient sleep quality is influenced by multiple factors including medical conditions, use of medication and the ward environment. Without adequate rest, detrimental effects on patients’ physical and psychological performances may persist, inhibiting recovery and increasing length of stay.

Objective

This study examined the sleep quality of adult inpatients and its’ associations with sociodemographic, clinical and environmental factors.

Methods

An observational study was conducted in the medical wards of an acute care hospital in Singapore from July to December 2018. Patients completed the Pittsburgh Sleep Quality Index (PSQI) to establish baseline sleeping habits and the Richards-Campbell Sleep Questionnaire (RCSQ) to assess perception of sleep quality during hospitalisation. Noise levels were measured using the SL-4023SD sound level meter. Environmental factors affecting sleep were also recorded.

Results

52 patients were recruited reported a mean RCSQ score of 5.83 (SD = 2.31) and mean Global PSQI score was 6.06 (SD = 3.33), indicative of poor baseline sleep. The highest mean noise level presented with an average reading of 80 dB, surpassing the WHO recommended noise levels by two times. Subjective sleep quality was not affected by demographic, clinical factors and bed locations. Patients exposed to night lamps reported a reduction in sleep quality ( p = .04).

Conclusions

Recognising the importance of overall sleep quality and the identification of external factors influencing patients’ sleep quality during hospitalisation is a vital step towards developing successful interventions to promote good sleep hygiene in the general wards of the Asian context.

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.

Effects of nursing interventions to improve inpatients' sleep in intensive and non-intensive care units: Findings from an umbrella review

AIM

This review aimed to synthesise the available reviews on the effects of nursing interventions on sleep quality among patients hospitalised in intensive care and non-intensive care units.

BACKGROUND

Poor sleep quality is a common fact in hospitalised patients. Nurses can contribute to the improvement of patients' sleep quality and duration.

DESIGN

A review of intervention reviews was carried out and reported following the PRISMA guidelines and checklist.

METHODS

We systematically searched for reviews published from January 2009 to December 2019 in PubMed, CINAHL Plus, Scopus, Institute for Scientific Information Web of Science, Joanna Briggs Database of Systematic Reviews and Cochrane Central Register of Controlled Trials databases. Searches were repeated at 24 November 2020 to include the most recent evidence. A narrative synthesis of the results was conducted.

RESULTS

Nine reviews (representing 109 original papers) met the selection criteria and were included for critical appraisal. Overall, nursing interventions and sleep quality were poorly defined. We grouped the interventions into 3 categories (environmental, barrier and internal interventions) to provide a more comprehensive overview and examine effects of nursing interventions on inpatients sleep quality. Inconsistent results were obtained and low quality of the original articles was reported, making it difficult to establish absolute conclusions.

CONCLUSION

The impact of environmental changes on patients' sleep was positive but inconclusive, while use of earplugs and eye masks, music and acupuncture generally showed positive results with moderate quality of evidence, and no harmful effects were reported.

Impact of a white noise app on sleep quality among critically ill patients

BACKGROUND

Sleep disturbance negatively affects recovery and survival of patients in intensive care units (ICUs).

AIMS AND OBJECTIVES

This study aimed to measure the noise levels and evaluate the impact of a white noise app on the sleep quality of critically ill patients.

DESIGN

A quasi-experimental time series pre-test-post-test control group design with repeated measures was adopted.

METHODS

The study was conducted in the high dependency unit (HDU) of a selected tertiary care hospital in Mangalore, Karnataka State, India. Conscious oriented patients with systolic blood pressure ranging from 100/70 to 140/90 mm Hg and hearing acuity of at most 20 dB in both ears were included in the study. Noise levels in the HDU were measured using calibrated sound level meter on weekdays/weekends in three different shifts and an average of 24 readings was obtained per shift. A 4-point Likert scale was used to assess the sleep quality. The intervention included administration of white noise app twice a day, for three consecutive days by using different masking sounds such as white noise on day 1 which resembles to a humming AC conditioner, pink noise on day 2 which resembles to the sound of ocean waves and brown noise on day 3 which resembles a steady rainfall. The app was used with the help of JBL earphones C10SI an excellent noise cancellation and noise isolating earphone.

RESULTS

Among the 54 subjects, the mean age of the patients was 40.28 years, majority 34 (63%) were males. The noise level in the ICU was more than 60 dB. There was a significant difference in the sleep quality after the application of the white noise app in the experimental group on Day 1 (Z = -3.996; P = .001), Day 2 (Z = -3.302; P = .001), and Day 3 (-2.822; P = .005) compared to the control group.

CONCLUSION

Adoption of technology driven noise reduction applications would enhance the quality of sleep among the ICU patients.

RELEVANCE TO CLINICAL PRACTICE

The use of a technology-driven application helps control noise levels which promotes improved sleep quality among critically ill patients in the intensive care units.

Sleep-wake rhythms determined by actigraphy during in-hospital stay following discharge from an intensive care unit

BACKGROUND

Sleep and circadian disturbances play a major role in recovery after critical illness. Ample research has shown sleep to be disturbed during the stay at the intensive care unit (ICU); however, the trajectory of sleep after ICU discharge is sparsely described. The current study aimed to describe the development of the sleep-wake rhythm in subjects discharged from ICU to a hospital ward.

METHODS

Following discharge from the ICU to a general hospital ward, the participants were monitored with an ActiGraph for sleep assessment for 7 days or until hospital discharge or death. Data were analysed for day-to-day change with t-tests and for the whole period with repeated measures analysis.

RESULTS

For the 38 included patients, repeated measures analysis showed no significant improvement in total sleep time and wake time. However, for secondary outcomes, improvements for wake after sleep onset (P = .02) and reduction in the number of naps (P = .03) both in the day-to-day and overall trend analysis were observed.

CONCLUSION

The duration of sleep and wake time did not improve during ward stay. However, sleep became less fragmented and naps during the day declined. Due to the small sample size further, larger trials are needed.

Impact of a sleep promotion protocol on off-pump coronary artery bypass graft patients

BACKGROUND

Sleep abnormalities frequently occur in intensive care unit (ICU) patients, and the consequences of sleep abnormalities in patients who undergo off-pump coronary artery bypass graft (OPCABG) surgery are particularly significant. Although many interventions have been reported to improve sleep, few sleep promotion protocols have been designed specifically for patients in cardiac ICUs.

AIMS AND OBJECTIVES

This study aimed to explore the effects of an evidence-based sleep promotion protocol on patients who underwent OPCABG in a cardiac ICU.

DESIGN

A quasi-experimental study was conducted in a comprehensive hospital in Shandong province of China.

METHODS

Overall, 67 participants were recruited (37 in the control group and 30 in the intervention group). An evidence-based sleep promotion protocol was developed by a 10-member interprofessional collaborative team and then applied. Sound levels, light intensity, and the number of nocturnal interventions were compared between groups. The Chinese version of the Richards-Campbell Sleep Questionnaire (RCSQ) was used to compare intergroup sleep status on two consecutive postoperative nights.

RESULTS

No significant differences were found for demographics or disease severity between the groups. In the intervention group, sound levels and light intensity were significantly lower at various times, and nocturnal interventions were significantly less frequent over the two consecutive nights. RCSQ scores were significantly higher in the intervention group for both nights.

CONCLUSIONS

The sleep promotion protocol reduced sound levels, night-time light intensity, the number of nocturnal interventions, and improved sleep among OPCABG patients in a cardiac ICU.

RELEVANCE TO CLINICAL PRACTICE

Evidence-based practice can help to promote good quality of care, improve patient outcomes, and advance nursing in clinical settings.

The Impact of Earplugs and Eye Masks on Sleep Quality in Surgical ICU Patients at Risk for Frequent Awakenings

OBJECTIVES

Sleep disturbances may contribute to the development of delirium, prolonged ICU stay, and increased mortality. There is conflicting data on the effectiveness of earplugs and eye masks for sleep promotion in the ICU. This study evaluates the impact of earplugs and eye masks on sleep quality in postoperative surgical ICU patients at risk for frequent awakenings.

DESIGN

Prospective randomized controlled trial.

SETTING

Surgical ICU within the University of Texas Southwestern Medical Center.

PATIENTS

Adult, female patients admitted to the surgical ICU requiring hourly postoperative assessments following breast free flap surgery between February 2018 and October 2019.

INTERVENTIONS

Patients were randomized into an intervention group or a control group. The intervention group received earplugs and eye masks in addition to standard postoperative care, whereas the control group received standard postoperative care.

MEASUREMENTS AND MAIN RESULTS

The primary outcome was overall sleep quality assessed via the Richards-Campbell Sleep Questionnaire. Secondary outcomes of patient satisfaction and rates of ICU delirium were assessed with a modified version of the Family Satisfaction in the ICU survey and the Confusion Assessment Method for the ICU. After a planned interim analysis, the study was stopped early because prespecified criteria for significance were attained. Compared with the control group's average Richards-Campbell Sleep Questionnaire total score of 47.3 (95% CI, 40.8-53.8), the intervention group's average Richards-Campbell Sleep Questionnaire total score was significantly higher at 64.5 (95% CI, 58.3-70.7; p = 0.0007). There were no significant between-group differences for Confusion Assessment Method for the ICU scores or modified Family Satisfaction in the ICU survey scores.

CONCLUSIONS

These results suggest that earplugs and eye masks are effective in improving sleep quality in ICU patients undergoing frequent assessments. The results strengthen the evidence for nonpharmacologic sleep-promoting adjuncts in the ICU.

Sleep quality assessment in intensive care: actigraphy vs. Richards-Campbell sleep questionnaire

Introduction

It has been repeatedly shown that sleep of intensive care unit (ICU) patients is fragmented and its architecture is impaired. As sleep disorders have numerous negative effects on the organism, there have been efforts to implement sleep-promoting strategies into practice. When comparing the effectiveness of such measures, sleep quality assessment itself is a considerable problem.

Objective

The study aimed to assess the quality and quantity of night sleep in ICU patients simultaneously with actigraphy (ACT) and the Richards-Campbell Sleep Questionnaire (RCSQ). The secondary goals were to test the performance and effectiveness of the above methods and to verify correlations between selected RCSQ items and actigraph parameters.

Methods

A single-center prospective observational study (20 patients staying in a Interdisciplinary Intensive Care Unit). The quality of sleep was assessed using a Czech version of the RCSQ and ACT. The obtained data were analyzed and their dependence or correlations were verified by selected statistical tests.

Results

The mean RCSQ score was 47.6 (SD 24.4). The worst results were found for sleep latency (44.4; SD 31.2); the best results were for sleep quality (50.2; SD 29.4). The mean sleep effciency measured with ACT reached 86.6% (SD 9.2); the mean number of awakenings per night was 17.1 (SD 8.5). The RCSQ total parameter with a cutoff of 50 (RCSQ total = 50 good sleep / RCSQ total < 50 poor sleep) was shown to be suitable for discrimination of subjectively perceived sleep quality in ICU patients. However, the study failed to show statistically significant relations between subjectively perceived sleep quality (RCSQ) and ACT measurements.

Conclusion

The RCSQ appears to be a suitable instrument for assessing night sleep quality in ICU patients. On the other hand, the study showed a very low level of agreement between subjective sleep quality assessment and objective ACT measurements. The main drawback of ACT is low reliability of obtained data. Further research is needed to determine its role in sleep quality assessment in the ICU setting.

The Efficacy of Eye Masks and Earplugs Interventions for Sleep Promotion in Critically Ill Patients: A Systematic Review and Meta-Analysis

Using physical devices such as eye masks and earplugs to improve to the quality of sleep in intensive care units (ICUs) is a very important issue. This study was conducted to assess the efficacy of eye masks and earplugs for sleep promotion in critically ill adult patients in the ICU based on various sleep quality assessment tools. PubMed, Scopus, Web of Science, and ProQuest were systematically retrieved until May 2021. Both randomized and non-randomized experimental and quasi-experimental studies were included if they evaluated the efficacy of eye masks and earplugs interventions on sleep outcomes in critically ill patients. The methodological quality was assessed by the Joanna Briggs Institute (JBI) critical appraisal tool. For the main outcome (sleep quality), a mean difference (MD) and confidence intervals (CIs) of 95% were determined. A total of 2,687 participants from 35 studies met the inclusion criteria. Twenty one studies were included in meta-analysis and 14 studies were included in the qualitative analysis. According to the results based on sleep quality assessment tools; overall scores of Pittsburgh Sleep Quality Index (PSQI) and Richards-Campbell Sleep Questionnaire (RCSQ), eye mask and/or earplug interventions have a positive effect on sleep quality. Based on Verran-Snyder-Halpern Sleep Scale (VSHSS), sleep disturbance was significantly lower in the intervention groups. In terms of polysomnography, the use of eye masks and/or earplugs resulted in a significant increase in total sleep time, sleep efficiency, rapid eye movement (REM) time, significant reduction of awaking, and sleep arousals index. The results of the present study suggest that the use of earplugs or eye masks, separately or combined affects sleep improvement in critically ill patients. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=145830, PROSPERO: CRD42020145830.

The efficacy of nursing interventions on sleep quality in hospitalized patients: A systematic review of randomized controlled trials

OBJECTIVE

To determine the effect of interventions that could be performed by nurses to improve the sleep quality of hospitalized patients in acute and semi-acute units.

DESIGN

A systematic review of randomized controlled trials and narrative synthesis.

DATA SOURCES

Seven electronic databases (PubMed, CINAHL Plus, Scopus, ISI WoS, CENTRAL, PsycInfo, and Embase) were accessed on 20 May 2019 with a temporal limit of 10 years prior.

REVIEW METHODS

Original research studies of interventions that could be delivered by nurses to improve sleep quality during hospitalization in acute and semi-acute units were included. Study selection, data extraction, and risk of bias assessment were performed by two independent reviewers.

RESULTS

Seventeen studies met the inclusion criteria and were included in this review. The interventions carried out in the trials were classified into four categories of measurement: environmental, physical, behavioural, and combined. Fourteen studies obtained statistically significant improvements; two showed a blend of significant and non-significant improvements; and one reported non-significant results. However, only four trials of the seventeen were judged as having a low risk of bias.

CONCLUSIONS

Overall evidence about interventions that could be performed by nurses to improve perceived sleep quality in hospitalized patients was found to be positive, and no negative effects were reported. However, higher quality research using both subjective and objective measures is needed, in order to strengthen the evidence.

A Systematic Review of Sleep Measurement in Critically Ill Patients

Background: Clinical trialists and clinicians have used a number of sleep quality measures to determine the outcomes of interventions to improve sleep and ameliorate the neurobehavioral consequences of sleep deprivation in critically ill patients, but findings have not always been consistent. To elucidate the source of these consistencies, an important consideration is responsiveness of existing sleep measures. The purpose of an evaluative measure is to describe a construct of interest in a specific population, and to measure the extent of change in the construct over time. This systematic literature review identified measures of sleep quality in critically ill adults hospitalized in the Intensive Care Unit (ICU), and assessed their measurement properties, strengths and weaknesses, clinical usefulness, and responsiveness. We also recommended modifications, including new technology, that may improve clinical usefulness and responsiveness of the measures in research and practice.

Methods: CINAHAL, PubMed/Medline, and Cochrane Library were searched from January 1, 2000 to February 1, 2020 to identify studies that evaluated sleep quality in critically ill patients.

Results: Sixty-two studies using polysomnography (PSG) and other electroencephalogram-based methods, actigraphy, clinician observation, or patient perception using questionnaires were identified and evaluated. Key recommendations are: standard criteria are needed for scoring PSG in ICU patients who often have atypical brain waves; studies are too few, samples sizes too small, and study duration too short for recommendations on electroencephalogram-based measures and actigraphy; use the Sleep Observation Tool for clinician observation of sleep; and use the Richards Campbell Sleep Questionnaire to measure patient perception of sleep.

Conclusions: Measuring the impact of interventions to prevent sleep deprivation requires reliable and valid sleep measures, and investigators have made good progress developing, testing, and applying these measures in the ICU. We recommend future large, multi-site intervention studies that measure multiple dimensions of sleep, and provide additional evidence on instrument reliability, validity, feasibility and responsiveness. We also encourage testing new technologies to augment existing measures to improve their feasibility and accuracy.

A pilot study of high frequency accelerometry-based sedation and agitation monitoring in critically ill patients

OBJECTIVE

The degree of sedation or agitation in critically ill patients is typically assessed with the Richmond Agitation and Sedation Scale (RASS). However, this approach is intermittent and subject to unrecognised variation between assessments. High frequency accelerometry may assist in achieving a quantitative and continuous assessment of sedation while heralding imminent agitation.

DESIGN

We undertook a prospective, observational pilot study.

SETTING

An adult tertiary intensive care unit in Melbourne, Australia.

PARTICIPANTS

20 patients with an admission diagnosis of trauma.

MAIN OUTCOME MEASURES

Accelerometers were applied to patients' wrists and used to continuously record patient movement. Video data of patient behaviour were simultaneously collected, and observers blinded to accelerometry data were adjudicated the RASS score every 30 seconds. Exploratory analyses were undertaken.

RESULTS

Patients were enrolled for a median duration of 9.7 hours (interquartile range [IQR], 0-22.8) and a total of 160 hours. These patients had a median RASS score of 0 (IQR, -4 to 0). A 2-minute moving window of amplitude variance was seen to reflect contemporaneous fluctuations in motor activity and was proportional to the RASS score. Furthermore, the moving window of amplitude variance was observed to spike immediately before ≥ 2 point increases in the RASS score.

CONCLUSIONS

We describe a novel approach to the analysis of wrist accelerometry data in critically ill patients. This technique not only appears to provide novel and continuous information about the depth of sedation or degree of agitation, it is also notable in its aptitude to anticipate impending transitions to higher RASS values.