Feasibility study of unattended polysomnography in medical intensive care unit patients

Impact of Noninvasive Ventilation on Quality of Sleep among Patients Admitted to the Critical Care Unit

Background and aims

Patients in critical care units (CCUs) on noninvasive ventilation (NIV) may experience sleep disturbances due to various reasons. Identifying the variables that affect a patient's sleep quality is essential for the medical treatment process, as it ensures the maintenance of a regular sleep cycle. The study aimed to assess the impact of NIV on the quality of sleep among patients admitted to the CCU.

Patients and methods

This observational questionnaire study was conducted between July 2023 to February 2024, which included 84 subjects who received NIV for more than 24 hours. The sleep quality was assessed using The St. Mary's Hospital (SMH) Sleep Questionnaire. The impact of NIV on sleep quality and sleep-disruptive factors was analyzed.

Results

A total of 84 subjects (71.4% weaned and 28.5% intubated) were included, and a significant association was found between the impact of NIV and sleep quality (p < 0.05). Leakage from the NIV mask impacted the quality of sleep (χ² = 15.6) and falling back to sleep (χ² = 18.4). Discomfort with the NIV mask interruption from sleep (χ² = 15.8), quality of sleep (χ² = 23.6), and falling back to sleep (χ² = 22.3). Excessive air from the ventilator impacted the quality of sleep (χ² = 13.5) and falling back to sleep (χ² = 13.5). Nasal and oral dryness influenced the quality of sleep (χ² = 9.79) and alertness (χ² = 14.6). The major factors that interfered with sleep were thirst (84.5%), pain (60.7%), and light (58.3%).

Conclusion

Our study highlights that the impact of NIV on sleep quality among patients in critical care is significant, with factors such as mask leakage, discomfort, excessive air delivery, and dryness affecting sleep negatively. Addressing these issues can potentially improve sleep quality and reduce the need for intubation.

How to cite this article

Kunjappan A, Reddy MM, Prabhu SS, Bhatt MT, R Vani Lakshmi. Impact of Noninvasive Ventilation on Quality of Sleep among Patients Admitted to the Critical Care Unit. Indian J Crit Care Med 2025;29(5):424-430.

Sleep and Circadian-Related Outcomes after Critical Illness

Sleep and circadian disruptions are frequently reported in studies of critically ill patients. Less is known about sleep and circadian disruptions after an intensive care unit (ICU) admission. It is recognized now that survivors of critical illness may develop what is termed post-intensive care syndrome (PICS) which is a constellation of symptoms of which two of the most prominent features are fatigue and sleep complaints. Clinicians and researchers are now recognizing the importance of examining symptoms in survivors which impact their quality of life. Although current data are limited this review addresses what is now known about sleep and circadian disruptions post-ICU. Current ongoing research and future studies should continue to inform our understanding of how critical illness and the ICU environment both influence long-term outcomes in critically ill patients.

Prospective cohort study on characteristics, associated factors and short-term prognosis of sleep and circadian rhythm in intensive care unit: protocol for the SYNC study

INTRODUCTION

Acute sleep and circadian rhythm (SCR) disruption can lead to a range of negative physical and mental consequences, such as depression, delirium, respiratory dysfunction and increased mortality. In the intensive care unit (ICU), the unique environment can exacerbate disruptions in SCR. Few studies have identified the characteristics of SCR in the ICU, and the roles of patient characteristics, illness and medical interventions in ICU SCR remain unclear. A single-centre prospective cohort study, called SYNC study (Sleep and circadian rhYthm in iNtensive Care unit), will be conducted to explore the characteristics and associated factors of SCR and investigate the short-term prognosis among patients in the surgical ICU.

METHODS AND ANALYSIS

Patients from a surgical ICU at a tertiary teaching hospital will be enrolled. SCR will be assessed by both objective and subjective indicators, including melatonin secretion rhythm, activity rhythm, sleep pattern and perceived sleep quality. Data on eight potential factors that influence SCR, including light exposure, noise level, pain level, nighttime disturbances, mechanical ventilation, sedative and analgesic use, meal pattern and restraints, will be collected. These data will be gathered in the first 3 days after ICU admission. Short-term prognostic indicators, including anxiety, depression, cognitive function, insomnia, activities of daily living, ICU stay, hospital stay and hospital mortality will be collected during the hospital stay and at 1 month after discharge.

ETHICS AND DISSEMINATION

The study has been approved by the Ethics Committee of Zhongshan Hospital, Fudan University (B2024-076R). The results of this study will be published in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT06346613.

Novel applications of sleep pharmacology as delirium therapeutics

Sleep-wake and circadian disruption (SCD) is a core feature of delirium. It has been hypothesized that SCD contributes to delirium pathogenesis; therefore, interventions that prevent or reverse SCD represent an array of promising opportunities in relation to delirium. This review explores the relationship between sleep-wake/circadian physiology and delirium pathophysiology with a focus on neurotransmitter systems. Across potential targets aimed at preventing or treating delirium, three broad approaches are considered: 1. Pharmacological mechanisms that contribute to physiological sleep may preserve or restore next-day cognition in patients with or at risk for delirium (e.g., alpha 2 agonists, dopamine 2 antagonists, serotonin 2 A antagonists, dual orexin receptor antagonists, or GHB agonists); 2. Pharmacological mechanisms that promote wakefulness during the day may combat hypoactive delirium (e.g., adenosine 2 A antagonists, dopamine transporter antagonists, orexin agonists, histamine 3 antagonists); and 3. Melatonergic and other circadian interventions could strengthen the phase or amplitude of circadian rhythms and ensure appropriately entrained timing in patients with or at risk for delirium (e.g., as informed by a person's preexisting circadian phase).

A multicentre point prevalence study of nocturnal hours awake and enteral pharmacological sleep aids in patients admitted to Australian and New Zealand intensive care units

Objective

Critically ill patients suffer disrupted sleep. Hypnotic medications may improve sleep; however, local epidemiological data regarding the amount of nocturnal time awake and the use of such medications is needed.

Design

Point prevalence study.

Setting

Adult ICUs in Australia and New Zealand.

Participants

All adult patients admitted to participating Intensive Care Units (ICUs) on the study day.

Main outcome measures

Time awake overnight (22:00-06:00) was determined by structured nurse observation. The use of enterally administered sedative-hypnotic drugs prior to and during ICU admission was recorded, as was the use of a unit policy and non-pharmacological sleep promotion strategies.

Results

Data were available for 532 patients admitted to 40 ICUs (median age 60 years, 336 (63.2%) male, and 222 (41.7%) invasively ventilated). Forty-eight patients (9.0%) received an enteral pharmacological sleep aid, of which melatonin (28, 5.2%) was most frequently used. Patients not invasively ventilated were observed to be awake overnight for a median of 4.0 h (interquartile range (IQR): 2.5, 5.5), with no difference in those receiving an enteral hypnotic (p = 0.9). Non-pharmacological sleep aids were reportedly not offered or available for 52% (earplugs) and 63% of patients (eye masks). Only 7 (17.5%) participating ICUs had a policy informing sleep-optimising interventions.

Conclusions

Patients not receiving invasive ventilation appeared to spend many nocturnal hours awake. Pharmacological sleep aid administration was not associated with a greater observed time asleep. Most patients did not receive any non-pharmacological aid, and most ICUs did not have a local guideline or unit policy on sleep promotion.

Use of actigraphy for monitoring agitation and rest-activity cycles in patients with acute traumatic brain injury in the ICU

BACKGROUND

In traumatic brain injury patients (TBI) admitted to the intensive care unit (ICU), agitation can lead to accidental removal of catheters, devices as well as self-extubation and falls. Actigraphy could be a potential tool to continuously monitor agitation. The objectives of this study were to assess the feasibility of monitoring agitation with actigraphs and to compare activity levels in agitated and non-agitated critically ill TBI patients.

METHODS

Actigraphs were placed on patients' wrists; 24-hour monitoring was continued until ICU discharge or limitation of therapeutic efforts. Feasibility was assessed by actigraphy recording duration and missing activity count per day.

RESULTS

Data from 25 patients were analyzed. The mean number of completed day of actigraphy per patient was 6.5 ± 5.1. The mean missing activity count was 20.3 minutes (±81.7) per day. The mean level of activity measured by raw actigraphy counts per minute over 24 hours was higher in participants with agitation than without agitation.

CONCLUSIONS

This study supports the feasibility of actigraphy use in TBI patients in the ICU. In the acute phase of TBI, agitated patients have higher levels of activity, confirming the potential of actigraphy to monitor agitation.

Effects of non-pharmacologic prevention on delirium in critically ill patients: A network meta-analysis

BACKGROUND

Delirium is a common complication among patients in the intensive care unit (ICU). It is important to prevent the occurrence of delirium in critically ill patients.

AIM

This review aimed to evaluate the efficacy of non-pharmacological interventions and determine what combination of these is effective in preventing delirium among Intensive Care Unit patients.

STUDY DESIGN

A systematic review and meta-analysis. This review follows the guidelines of the Preferred Reporting Items for Systematic reviews and Meta Analysis statements for Network Meta-Analysis (PRISMA-NMA). Data sources included the Cumulative Index to Nursing & Allied Health Literature., MEDLINE, and Cochrane library databases. The integrated data were investigated with odds ratio (OR) and 95% confidence interval (95% CI), using the random-effects Mantel-Haenszel model. Data were considered significant when p < 0.05. Furthermore, to reveal what combination of care is effective, we performed a network meta-analysis estimated OR, 95% CI.

RESULTS

We identified three randomized controlled trials and eight controlled before-after trials (11 in total, with 2549 participants). The pooled data from 11 trials of multicomponent intervention had a significant effect on delirium prevention (OR 0.58, 95% CI 0.44-0.76, p < 0.001). As a result of network meta-analysis, two bundles were effective compared to the control group in reducing the incidence of delirium: a) the combination of sleep promotion (SP), cognitive stimulation (CS), early mobilization (EM), pain control (PC), and assessment (AS) (OR 0.47, 95% CI 0.35-0.64, p < 0.002), and b) the combination of SP and CS (OR 0.46, 95% CI 0.28-0.75, p < 0.001).

CONCLUSION

This study revealed that non-pharmacological interventions, particularly multicomponent interventions, helped to prevent delirium in critically ill patients. In the network meta-analysis, the most effective care combination for reducing incidence of delirium was found to be multicomponent intervention, which comprises SP-CS-EM-PC-AS, and SP-CS.

RELEVANCE TO CLINICAL PRACTICE

These findings reveal an efficient combination of multicomponent interventions for preventing delirium, which may be a very important prerequisite in planning care programs in the future.

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.

Causes, Consequences, and Treatments of Sleep and Circadian Disruption in the ICU: An Official American Thoracic Society Research Statement

Background: Sleep and circadian disruption (SCD) is common and severe in the ICU. On the basis of rigorous evidence in non-ICU populations and emerging evidence in ICU populations, SCD is likely to have a profound negative impact on patient outcomes. Thus, it is urgent that we establish research priorities to advance understanding of ICU SCD. Methods: We convened a multidisciplinary group with relevant expertise to participate in an American Thoracic Society Workshop. Workshop objectives included identifying ICU SCD subtopics of interest, key knowledge gaps, and research priorities. Members attended remote sessions from March to November 2021. Recorded presentations were prepared and viewed by members before Workshop sessions. Workshop discussion focused on key gaps and related research priorities. The priorities listed herein were selected on the basis of rank as established by a series of anonymous surveys. Results: We identified the following research priorities: establish an ICU SCD definition, further develop rigorous and feasible ICU SCD measures, test associations between ICU SCD domains and outcomes, promote the inclusion of mechanistic and patient-centered outcomes within large clinical studies, leverage implementation science strategies to maximize intervention fidelity and sustainability, and collaborate among investigators to harmonize methods and promote multisite investigation. Conclusions: ICU SCD is a complex and compelling potential target for improving ICU outcomes. Given the influence on all other research priorities, further development of rigorous, feasible ICU SCD measurement is a key next step in advancing the field.

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.

Psychometric properties of the Turkish version of modified Freedman questionnaire for sleep quality

To investigate the psychometric characteristics of the modified Freedman Sleep Quality Questionnaire (mFSQQ) to assess sleep in Turkish intensive care unit (ICU) patients. This prospective cross-sectional study was conducted between December 2020 and August 2021 with patients older than 18 years, who stayed in the ICU for ≥ 24 h and were cooperative with a Glasgow Coma Scale score ≥ 10 in medical and surgical ICUs of a university hospital. During the adaptation of the items of the mFSQQ, language, content, and construct validity were examined, and the test-retest method and internal consistency were used to examine its reliability. The content validity index of the questionnaire was 0.82. The Kaiser-Meyer-Olkin measure of sampling adequacy was 0.71, which indicates adequate sampling; Bartlett's test of sphericity was χ2 = 2868.97, p < 0.001. The Turkish version had three subscales. The factor loadings of the items were above 0.30, and the factors explained 60.59% of the total variance. The test-retest reliability coefficient was 0.85, indicating high consistency. The Cronbach α reliability coefficient was 0.80, indicating high reliability. The item-total correlations were found to be sufficient (between 0.25 and 0.78). The Turkish version of the mFSQQ showed good psychometric characteristics and can be used as a routine evaluation instrument to determine sleep quality by the ICU team and to promote sleep.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41105-022-00389-2.

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.

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.

Sleep disturbance: The overlooked side after open heart surgery in adults

BACKGROUND

Sleep is essential for full mental and physical renewal. Cardiac surgery improves the life expectancy and quality. But unfortunately, some patients lacked that merit as they suffered sleep disturbance. We used validated questionnaire applied to 153 cardiac surgery patients to assess the sleep disturbances after surgery.

RESULTS

About 70 (45.8%) had valve procedure, 55 (36%) had revascularization, 19 (12.4%) had both procedures and 9 (5.8%) had other procedures. The majority had no post-operative bleeding nor infection. About 78% had sleeping difficulty for one month. About 50% used different medications to fall asleep, mostly analgesics. About 76% slept after 2-6 h irrespective of sleep quality. Some patients had poor sleep quality in the form of nightmares and night terrors.

CONCLUSION

Sleep quality was disturbed immediately following cardiac surgery. There was a reduction of night sleep compensated by increased daytime sleepiness. These changes almost reverted one month after surgery.

Hemodynamics Changes in the Phase Before, During, and After Sleep Based on Patients’ Sleep Quality in High Care Unit

BACKGROUND: Sleep is a human physiological need that must be fulfilled. Sleep disturbance is generally experienced by hospitalized patients and measured by sleep quality. Sleep disturbance can adversely affect hemodynamic parameters, physiological, and psychological outcome that contribute to the healing of patients. However, few literatures discussing the hemodynamic changes based on the patients’ sleep quality. AIM: The study aimed to describe the hemodynamic changes before, during, and after sleeping phases METHODS: This is an observational analytic quantitative study conducted between February and March 2019 and involved 45 patients. The samples were the conscious patients, aged between 18 and 60 years old (adult) and had been hospitalized for more than 2 days. The Richards-Campbell Sleep Questionnaire was utilized to measure the patients sleep quality, while hemodynamic values were observed by patients’ bedside monitor before, during and after sleep. Data analysis used the Friedman test to determine hemodynamic changes. RESULTS: The results showed that most respondents were female (75.6%), used oxygen (46.7%), sleep in supine position (55.6%), and average age of 35.47 (standard deviation [SD] = 9.581) years old. Patients’ sleep quality score was 44.27 (SD = 22.809), with the average days of treatment were 2.47 days (SD = 694). The average score of Hemodynamic Mean Arterial Pressure (MAP), Heart Rate (HR), and Oxygen saturation (SpO2) before sleeping was 97.64, 94.04, and 94.09, during sleeping was 89.87, 85.00, and 91.22 while after sleeping was 98.27, 97.56, and 97.89, respectively. There was a significant change in HR with p = 0.019, and there was no significant change in the MAP (p = 0.152) and SpO2 (p = 0.149) CONCLUSION: There were variations in hemodynamic score changes before, during, and after sleep, changes in MAP, HR, and SpO2 score within normal ranges. The high hemodynamic changes in the early phase, decrease during sleep, and rise again after sleep. HR is a hemodynamic parameter that significantly changes in those three phases. Monitoring of hemodynamic values in patients could be carried out in the before, during, and after sleep phases to determine the patients’ physiological and psychological condition so as to contribute the healing process.

The Effect of a Quality Improvement Intervention on Sleep and Delirium in Critically Ill Patients in a Surgical ICU

BACKGROUND

Delirium is a deleterious condition affecting up to 60% of patients in the surgical ICU (SICU). Few SICU-focused delirium interventions have been implemented, including those addressing sleep-wake disruption, a modifiable delirium risk factor common in critically ill patients.

RESEARCH QUESTION

What is the effect on delirium and sleep quality of a multicomponent nonpharmacologic intervention aimed at improving sleep-wake disruption in patients in the SICU setting?

STUDY DESIGN AND METHODS

Using a staggered pre-post design, we implemented a quality improvement intervention in two SICUs (general surgery or trauma and cardiovascular) in an academic medical center. After a preintervention (baseline) period, a multicomponent unit-wide nighttime (ie, efforts to minimize unnecessary sound and light, provision of earplugs and eye masks) and daytime (ie, raising blinds, promotion of physical activity) intervention bundle was implemented. A daily checklist was used to prompt staff to complete intervention bundle elements. Delirium was evaluated twice daily using the Confusion Assessment Method for the Intensive Care Unit. Patient sleep quality ratings were evaluated daily using the Richards-Campbell Sleep Questionnaire (RCSQ).

RESULTS

Six hundred forty-six SICU admissions (332 baseline, 314 intervention) were analyzed. Median age was 61 years (interquartile range, 49-70 years); 35% of the cohort were women and 83% were White. During the intervention period, patients experienced fewer days of delirium (proportion ± SD of ICU days, 15 ± 27%) as compared with the preintervention period (20 ± 31%; P = .022), with an adjusted pre-post decrease of 4.9% (95% CI, 0.5%-9.2%; P = .03). Overall RCSQ-perceived sleep quality ratings did not change, but the RCSQ noise subscore increased (9.5% [95% CI, 1.1%-17.5%; P = .02).

INTERPRETATION

Our multicomponent intervention was associated with a significant reduction in the proportion of days patients experienced delirium, reinforcing the feasibility and effectiveness of a nonpharmacologic sleep-wake bundle to reduce delirium in critically ill patients in the SICU.

TRIAL REGISTRY

ClinicalTrials.gov; No.: NCT03313115; URL: www.clinicaltrials.gov.

Impact of Sleep Deprivation in the Neurological Intensive Care Unit: A Narrative Review

Sleep is fundamental for everyday functioning, yet it is often negatively impacted in critically ill patients by the intensive care setting. With a focus on the neurological intensive care unit (NeuroICU), this narrative review summarizes methods of measuring sleep and addresses common causes of sleep disturbance in the hospital including environmental, pharmacological, and patient-related factors. The effects of sleep deprivation on the cardiovascular, pulmonary, immune, endocrine, and neuropsychological systems are discussed, with a focus on short-term deprivation in critically ill populations. Where evidence is lacking in the literature, long-term sleep deprivation studies and the effects of sleep deprivation in healthy individuals are also referenced. Lastly, strategies for the promotion of sleep in the NeuroICU are presented.

The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study

BACKGROUND

Sleep amongst intensive care patients is reduced and highly fragmented which may adversely impact on recovery. The current challenge for Intensive Care clinicians is identifying feasible and accurate assessments of sleep that can be widely implemented. The objective of this study was to investigate the feasibility and reliability of a minimally invasive sleep monitoring technique compared to the gold standard, polysomnography, for sleep monitoring.

METHODS

Prospective observational study employing a within subject design in adult patients admitted to an Intensive Care Unit. Sleep monitoring was undertaken amongst minimally sedated patients via concurrent polysomnography and actigraphy monitoring over a 24-h duration to assess agreement between the two methods; total sleep time and wake time.

RESULTS

We recruited 80 patients who were mechanically ventilated (24%) and non-ventilated (76%) within the intensive care unit. Sleep was found to be highly fragmented, composed of numerous sleep bouts and characterized by abnormal sleep architecture. Actigraphy was found to have a moderate level of overall agreement in identifying sleep and wake states with polysomnography (69.4%; K = 0.386, p < 0.05) in an epoch by epoch analysis, with a moderate level of sensitivity (65.5%) and specificity (76.1%). Monitoring accuracy via actigraphy was improved amongst non-ventilated patients (specificity 83.7%; sensitivity 56.7%). Actigraphy was found to have a moderate correlation with polysomnography reported total sleep time (r = 0.359, p < 0.05) and wakefulness (r = 0.371, p < 0.05). Bland-Altman plots indicated that sleep was underestimated by actigraphy, with wakeful states overestimated.

CONCLUSIONS

Actigraphy was easy and safe to use, provided moderate level of agreement with polysomnography in distinguishing between sleep and wakeful states, and may be a reasonable alternative to measure sleep in intensive care patients. Clinical Trial Registration number ACTRN12615000945527 (Registered 9/9/2015).

Sleep Deprivation in the Intensive Care Patient

TOPIC

Sleep deprivation in the intensive care unit setting.

CLINICAL RELEVANCE

The Society of Critical Care Medicine has identified sleep deprivation as a significant contributor to the development of delirium in adult patients in the intensive care unit. Thus, preventing and managing sleep deprivation is important in reducing the incidence of delirium in this patient population. A multifaceted and multidisciplinary approach to promoting sleep in the intensive care unit setting that includes sleep hygiene routines, nursing care plans, and appropriate medication regimens may improve patient outcomes, including reducing delirium.

PURPOSE OF ARTICLE

To review the current literature on sleep deprivation in the intensive care unit setting and present care guidelines in a concise format. This information may be helpful in the development of clinical tools and may guide future quality improvement projects aimed at reducing delirium through sleep promotion in critical care patients.

CONTENT COVERED

A review of current literature and national organization recommendations revealed consistent themes in addressing the problem of sleep deprivation in the intensive care unit. Modifiable and nonmodifiable risk factors included frequent care interactions, light, noise, medication effects, and preexisting sleep problems.

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.

Sleep and Delirium in Older Adults

Purpose of Review

Poor sleep and delirium are common in older patients but recognition and management are challenging, particularly in the intensive care unit (ICU) setting. The purpose of this review is to highlight current research on these conditions, their inter-relationship, modes of measurement, and current approaches to management.

Recent Findings

Sleep deprivation and delirium are closely linked, with shared clinical characteristics, risk factors, and neurochemical abnormalities. Acetylcholine and dopamine are important neurochemicals in the regulation of sleep and wakefulness and their dysregulation has been implicated in development of delirium. In the hospital setting, poor sleep and delirium are associated with adverse outcomes; non-pharmacological interventions are recommended, but tend to be resource intensive and hindered by a lack of reliable sleep measurement tools. Delirium is easier to identify, with validated tools available in both ICU and non-ICU settings; however, an optimal treatment approach remains unclear. Antipsychotics are used widely to prevent and treat delirium, although the efficacy data are equivocal. Bundled non-pharmacologic approaches represent a promising framework for prevention and management.

Summary

Poor sleep and delirium are common problems in older patients. While these phenomena appear linked, a causal relationship is not clearly established. At present, there are no established sleep-focused guidelines for preventing or treating delirium. Novel interventions are needed that address poor sleep and delirium, particularly in older adults.

Sleep Fragmentation and Cognitive Trajectories After Critical Illness

BACKGROUND

ICU survivors can experience both cognitive dysfunction and persistent sleep disturbances after hospitalization. Sleep disturbances have been linked with cognitive impairment in various patient populations, and the apolipoprotein E (APOE) genotype has been linked to sleep-related impairments in cognition.

RESEARCH QUESTION

Is there an association between sleep, long-term cognition, and APOE status in ICU survivors?

STUDY DESIGN AND METHODS

We enrolled 150 patients from five centers who had been mechanically ventilated for at least 3 days; 102 patients survived to ICU discharge. Actigraphy and cognitive testing were undertaken at 7 days, 6 months, and 12 months after ICU discharge, and sleep duration, quality, and timing were estimated by actigraphy. APOE single nucleotide polymorphisms were assessed for each patient.

RESULTS

Actigraphy-estimated sleep fragmentation, but not total sleep time or interdaily stability (estimate of circadian rhythmicity), was associated with worse cognitive impairment at 7 days of ICU discharge. No actigraphy-estimated variable of sleep estimation at 7 days post-ICU discharge predicted cognitive impairment or persistent sleep abnormalities at 6 and 12 months of follow-up in subsequently assessed survivors. Possessing the APOE ε4 allele was not significantly associated with sleep disturbances and its presence did not modify the risk of sleep-related cognitive impairment at follow-up.

INTERPRETATION

Sleep fragmentation estimated by actigraphy was associated with worse cognitive performance in hospital, but not at later time intervals. Further research is needed to better delineate the relationship between persistent sleep disturbances and cognition in larger numbers of ICU survivors.

TRIAL REGISTRY

ClinicalTrials.gov; No.: NCT02086877; URL: www.clinicaltrials.gov.

Measuring sleep in the intensive care unit: Electroencephalogram, actigraphy, or questionnaire?

BACKGROUND

Studies consistently report deranged sleep in patients admitted to intensive care unit. Poor sleep has harmful physical and cognitive effects, and an evidence-based intervention to improve sleep is needed. It is, however, difficult to measure sleep in the intensive care unit. 'Gold standard' monitoring (polysomnography) is unsuitable for usual care.

METHODS

We collected concurrent sleep data from electroencephalograph recordings, activity monitoring, and nurse- and patient-completed Richards-Campbell Sleep Questionnaires (RCSQ).

RESULTS

Electroencephalograph data (n = 34) confirm poor sleep. Individual bouts last approximately 1 min and around 2 h of sleep overnight is common. Correlation between electroencephalograph, self-report, nurse-report, actigraphy and overall activity score is low (ρ = 0.123 (n = 24), 0.127 (n = 22), and 0.402 and - 0.201 (n = 13), respectively). Correlation between nurse and patient assessment is limited (ρ = 0.537 (n = 444)).

CONCLUSIONS

No current method of sleep monitoring seems suitable in the intensive care unit. However, to facilitate comparison across studies, the patient-completed RCSQ seems the most meaningful measure.

Effect of Nighttime Earplugs and Eye Masks on Sleep Quality in Intensive Care Unit Patients

Purpose

Poor sleep quality in intensive care unit (ICU) can be associated with poor outcome. Excessive noise and lights in ICU are known to disrupt patients’ sleep by causing arousals.

Study design

A prospective randomized controlled study.

Materials and methods

The patients admitted to the medical ICU were prospectively included and randomized to receive earplugs and eye masks or no intervention during their first 5 nights in ICU. Their arousal index and other sleep parameters were measured during the first night by polysomnography. Secondary outcomes including wrist actigraphy profiles and subjective sleep quality were recorded during all study nights.

Results

Seventeen patients were enrolled. Eight patients were randomized to earplugs and eye masks group and nine patients were randomized to control group during their first 5 nights in the ICU. The use of earplugs and eye masks demonstrated the trend toward lower arousal index during the first night (21.15 (14.60) vs 42.10 (18.20) events per hour, p = 0.086) and increased activity index (activity count/hour) (16.12 (7.99) vs 10.84 (10.39) count/hour, p = 0.059) compared to control group. Polysomnography and actigraphy did not demonstrate good agreement.

Conclusion

The use of earplugs and eye masks has a trend toward reduction in arousal index and increased activity in patients admitted to ICU. Limited sample size most likely explained insignificant difference in outcomes. Wrist actigraphy did not accurately measure sleep parameters in ICU patients.

Trial registration

www.clinicaltrials.in.th, TCTR20170727003.

How to cite this article

Arttawejkul P, Reutrakul S, Muntham D, Chirakalwasan N. Effect of Nighttime Earplugs and Eye Masks on Sleep Quality in Intensive Care Unit Patients. Indian J Crit Care Med 2020;24(1):6–10.

Atypical Sleep and Postoperative Delirium in the Cardiothoracic Surgical Intensive Care Unit: A Pilot Prospective Study

PURPOSE

Postoperative delirium (POD) is a very common and serious neurological complication in patients admitted to the cardiothoracic surgical intensive care unit (CSICU). We aimed to identify a novel potential sleep-based marker for POD and investigate the relevance between atypical sleep and POD.

PATIENTS AND METHODS

This was a prospective, observational study of patients admitted to the CSICU between December 2019 and February 2020 at our center. Sleep characteristics from 21:00 on postoperative day 1 to 07:00 on postoperative day 2 were assessed using polysomnography (PSG). POD from the end of PSG monitoring until postoperative day 5 was evaluated using the Confusion Assessment Method for the Intensive Care Unit.

RESULTS

This analysis included 20 patients admitted to the CSICU. The incidence of atypical sleep was 45.0%. Compared to patients without delirium, those with delirium had less delta power, less percentage REM sleep, and a higher proportion of atypical sleep and REM sleep loss (P < 0.05).

CONCLUSION

The presence of atypical sleep and the absence of REM sleep were associated with POD in patients admitted to the CSICU.

Sleep and Delirium in Adults Who Are Critically Ill: A Contemporary Review

Sleep is important to health and well-being, and studies in healthy adults have demonstrated that sleep deprivation impacts respiratory, immune, and cognitive function. Historically, because of the nature of critical illness, sleep has not been considered a priority for patient care in the ICU. More recently, research has demonstrated that sleep is markedly abnormal in patients who are critically ill. In addition, there is often disruption of circadian rhythms. Delirium is a syndrome of acute alteration in mental status that occurs in the setting of contributing factors such as serious illness, medication, and drug or alcohol intoxication or withdrawal. Delirium is a frequent occurrence in critical illness, and research has demonstrated several adverse outcomes associated with delirium including persistent cognitive impairment and increased mortality. Sleep deprivation and delirium share many common symptoms. The similarity in symptoms between sleep disruption and delirium have prompted experts to draw links between the two and question both the relationship and its direction. In addition, the inclusion of sleep disturbance to the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition in its constellation of symptoms used in diagnosing delirium has increased awareness of the link between sleep and delirium. This paper will review the literature on sleep in critical illness and the potential mechanisms and pathways that may connect sleep and delirium.

Clinical Practice Guidelines for the Prevention and Management of Pain, Agitation/Sedation, Delirium, Immobility, and Sleep Disruption in Adult Patients in the ICU

OBJECTIVE

To update and expand the 2013 Clinical Practice Guidelines for the Management of Pain, Agitation, and Delirium in Adult Patients in the ICU.

DESIGN

Thirty-two international experts, four methodologists, and four critical illness survivors met virtually at least monthly. All section groups gathered face-to-face at annual Society of Critical Care Medicine congresses; virtual connections included those unable to attend. A formal conflict of interest policy was developed a priori and enforced throughout the process. Teleconferences and electronic discussions among subgroups and whole panel were part of the guidelines' development. A general content review was completed face-to-face by all panel members in January 2017.

METHODS

Content experts, methodologists, and ICU survivors were represented in each of the five sections of the guidelines: Pain, Agitation/sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption). Each section created Population, Intervention, Comparison, and Outcome, and nonactionable, descriptive questions based on perceived clinical relevance. The guideline group then voted their ranking, and patients prioritized their importance. For each Population, Intervention, Comparison, and Outcome question, sections searched the best available evidence, determined its quality, and formulated recommendations as "strong," "conditional," or "good" practice statements based on Grading of Recommendations Assessment, Development and Evaluation principles. In addition, evidence gaps and clinical caveats were explicitly identified.

RESULTS

The Pain, Agitation/Sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption) panel issued 37 recommendations (three strong and 34 conditional), two good practice statements, and 32 ungraded, nonactionable statements. Three questions from the patient-centered prioritized question list remained without recommendation.

CONCLUSIONS

We found substantial agreement among a large, interdisciplinary cohort of international experts regarding evidence supporting recommendations, and the remaining literature gaps in the assessment, prevention, and treatment of Pain, Agitation/sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption) in critically ill adults. Highlighting this evidence and the research needs will improve Pain, Agitation/sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption) management and provide the foundation for improved outcomes and science in this vulnerable population.

Prospective repeated assessment of self-reported sleep quality and sleep disruptive factors in the intensive care unit: acceptability of daily assessment of sleep quality

INTRODUCTION

Despite the importance of sleep, the assessment of sleep quality does not form part of standard clinical care in intensive care unit (ICU). Continuous assessment of self-reported quality of ICU patients' sleep has been strongly recommended. Prior to implementing such an assessment in the ICU, it is important to assess the acceptability of this method of assessment to the ICU's patients. The aims of this study were to assess the acceptability to ICU patients of completing daily self-reports on sleep quality during their ICU stay and to assess ICU patients' self-reported sleep quality and sleep disruptive factors during their time in ICU.

METHODS

An observational prospective-repeated assessment was conducted on n=120 patients in an ICU in Saudi Arabia. The participants were both intubated and non-intubated.

OUTCOMES MEASURES

Over a 3-month period, sleep quality was assessed using the Arabic version of the Richards-Campbell Sleep Questionnaire (RCSQ-A), and self-reported sleep disruptive factors were identified. Clinical factors, such as ICU interventions, and previously administered sedatives were also examined. The patients' acceptance of completing daily RCSQ-A reports was assessed using various indicators of acceptability.

RESULTS

A total of 381 self-reports (RCSQ-A) were collected for this analysis. The patients reported 34.4±5.60, indicating that sleep quality was poor on average. The group of intubated patients reported much poorer sleep quality during intubation than after extubation. In the multivariate analysis, factors which most significantly affected sleep (exp(b), p value) were midazolam (-6.424, p<0.0005), propofol (-3.600, p<0.05), noise (-1.033, p<0.05), gender (1.836, p<0.05), daytime sleepiness (0.856, p<0.05) and the presence of mechanical ventilation (-1.218, p<0.05).

CONCLUSION

The acceptability and feasibility of using daily RCSQ-A for sleep quality assessment was demonstrated. Sleep quality was reported as poor by all participants and the factors affecting sleep were varied. This study provided various recommendations for healthcare providers and researchers in terms of evaluating and improving sleep quality in ICU patients.

Better Sleep Experience for the Critically Ill: A Comprehensive Strategy for Designing Hospital Soundscapes

In this paper, the sleep phenomenon is considered in relation to critical care soundscapes with the intention to inform hospital management, medical device producers and policy makers regarding the complexity of the issue and possible modes of design interventions. We propose a comprehensive strategy based on soundscape design approach that facilitates a systematic way of tackling the auditory quality of critical care settings in favor of better patient sleep experience. Future research directions are presented to tackle the knowledge deficits in designing for critical care soundscapes that cater for patient sleep. The need for scientifically-informed design interventions for improving patient sleep experience in critical care is highlighted. The value of the soundscape design approach for resolving other sound-induced problems in critical care and how the approach allows for patient-centred innovation that is beyond the immediate sound issue are further discussed.

Does Hand Massage Have Sustained Effects on Pain Intensity and Pain-Related Interference in the Cardiac Surgery Critically Ill? A Randomized Controlled Trial

BACKGROUND

Despite the promising short-term pain relief effect of massage, little is known regarding its sustained effects on pain intensity and pain-related interference with functioning.

AIMS

To evaluate the sustained effect of hand massage on the pain intensity and pain-related interference with functioning of cardiac surgery patients.

DESIGN

A randomized controlled trial.

SETTINGS

A medical-surgical intensive care unit in Canada.

PARTICIPANTS/SUBJECTS

Adult patients undergoing cardiac surgery and at low risk for postoperative complications were eligible.

METHODS

In the intensive care unit, patients were randomly assigned to either 20-minute hand massage, hand holding, or rest. Pain intensity and pain-related interference with functioning were assessed on the second postoperative day.

RESULTS

A total of 60 patients were randomly allocated and 46 completed data collection on the second postoperative day. Although no significant differences were identified across groups, the hand massage group reported a maximum pain intensity (median 5.75, range: 2-10) that was lower than the hand-holding (median 6.50, range: 1-10) and standard care groups (median 6.25, range: 0-10). The hand massage group could reach 0 pain intensity throughout a 24-hour period (median 0, range: 0-7), contrary to the hand-holding (median 2, range: 0-5) and standard care groups (median 2, range: 0-4.5). A trend for statistical significance was noted for dichotomized ratings on pain interference with walking (p = .176) and sleep (p = .050).

CONCLUSIONS

Hand massage could help patients experience longer periods without pain and lower levels of maximum pain intensity. When coupled with recovery activities, hand massage could reduce pain-related interference with functioning.

Actigraphy to Evaluate Sleep in the Intensive Care Unit. A Systematic Review

RATIONALE

Poor sleep quality is common in the intensive care unit (ICU) and may be associated with adverse outcomes. Hence, ICU-based efforts to promote sleep are gaining attention, motivating interest in methods to measure sleep in critically ill patients. Actigraphy evaluates rest and activity by algorithmically processing gross motor activity data, usually collected by a noninvasive wristwatch-like accelerometer device. In critically ill patients, actigraphy has been used as a surrogate measure of sleep; however, its use has not been systematically reviewed.

OBJECTIVES

To conduct a systematic review of ICU-based studies that used actigraphy as a surrogate measure of sleep, including its feasibility, validity, and reliability as a measure of sleep in critically ill patients.

METHODS

We searched PubMed, EMBASE, CINAHL, Proquest, and Web of Science for studies that used actigraphy to evaluate sleep in five or more patients in an ICU setting.

RESULTS

Our search yielded 4,869 citations, with 13 studies meeting eligibility criteria. These 13 studies were conducted in 10 countries, and eight (62%) were published since 2008. Across the 13 studies, the mean total sleep time of patients in the ICU, as estimated using actigraphy, ranged from 4.4 to 7.8 hours at nighttime and from 7.1 to 12.1 hours over a 24-hour period, with 1.4 to 49.0 mean nocturnal awakenings and a sleep efficiency of 61 to 75%. When compared side-by-side with other measures of sleep (polysomnography, nurse assessments, and patient questionnaires), actigraphy consistently yielded higher total sleep time and sleep efficiency, fewer nighttime awakenings (vs. polysomnography), and more overall awakenings (vs. nurse assessment and patient questionnaires). None of the studies evaluated the association between actigraphy-based measures of sleep and outcomes of patients in the ICU.

CONCLUSIONS

In critically ill patients, actigraphy is being used more frequently as a surrogate measure of sleep; however, because actigraphy only measures gross motor activity, its ability to estimate sleep is limited by the processing algorithm used. Prior ICU-based studies involving actigraphy were heterogeneous and lacked data regarding actigraphy-based measures of sleep and patient outcomes. Larger, more rigorous and standardized studies are needed to better understand the role of actigraphy in evaluating sleep and sleep-related outcomes in critically ill patients.

Association between death and loss of stage N2 sleep features among critically Ill patients with delirium

PURPOSE

Critically ill patients experience significant sleep disruption. In this study of ICU patients with delirium, we evaluated associations between the loss of stage N2 features (K-complexes, sleep spindles), grade of encephalopathy based on electroencephalography (EEG), and intensive care unit (ICU) outcomes. We hypothesized that loss of stage N2 features is associated with more severe grades of encephalopathy and worse ICU outcomes including death.

MATERIALS AND METHODS

This was an observational cohort study of 93 medical ICU patients without primary acute brain injury who underwent continuous EEG. Type and severity of critical illness, sedative-hypnotic use, length of stay, modified Rankin Scale at hospital discharge, and death during hospitalization were abstracted from the medical record. EEG was evaluated for grade of encephalopathy and sleep features.

RESULTS

Patients without K-complexes or without sleep spindles had more severe encephalopathy and higher odds of death. The odds ratio for patients without K-complexes was 18.8 (p = .046). The odds ratio for patients without sleep spindles was 6.3 (p = .036).

CONCLUSIONS

Loss of stage N2 features is common and associated with more severe encephalopathy and higher odds of death. The absence of either Stage N2 feature, K complexes or sleep spindles, may have important prognostic value.

Non-circadian signals in the intensive care unit: Point prevalence morning, noon and night

BACKGROUND

Intensive care unit (ICU) sleep disturbance is severe and potentially related to abnormal light and sound exposure.

OBJECTIVES

To assess the prevalence of measures of light and sound disturbance in ICU patient rooms, and whether these could be modified by a sleep-promotion intervention.

METHODS

This observational study with a before and after design for a quality improvement initiative surveyed environmental factors in ICU rooms at 01:00 08:00, and 12:00. Surveys assessed light usage, television usage, window shade position, and room door/curtain position. Factors were compared before and after an ICU sleep-promotion intervention.

RESULTS

990 (pre-intervention) and 819 (post-intervention) occupied rooms were surveyed. Pre-intervention, the prevalence of night-time factors included: bright lights on (21%), television on (46%), and room door open (94%). Post-intervention, more rooms had all lights off at night (41% v 50%, p = 0.04), and fewer rooms had open door curtains (57% v 42%, p = 0.001) and window shades (78% v 62%, p = 0.002).

CONCLUSIONS

Disruptive environmental factors are common in the ICU. Some factors improve with sleep-promotion interventions.

Quality of Sleep Among Intensive Care Unit Patients: A Literature Review

Investigating sleep disturbances among intensive care unit (ICU) patients and its serious consequences is considered a crucial issue for nurses. The need of sleep increases during hospitalization time to preserve energy for the healing process. Previous studies have demonstrated that sleep disturbance is one of the most common complaints of patients in the ICUs, with a prevalence of more than 50%. Although the total sleep time might be normal, the patients' sleep is fragmented and light in the intensive care settings. The main purpose of this review is to generate a clear view of what is known about sleep disturbances among ICU patients as well as to identify the gap in knowledge regarding this issue. This was done by describing, summarizing, clarifying, and evaluating well-selected previous studies about this topic. In addition, this concise review has focused on the prevalence of sleep disturbances in the ICU, factors contributing to poor quality of sleep among ICU patients, and the physiological effects of poor sleep on the patients' prognosis.

Sleep Disturbance after Hospitalization and Critical Illness: A Systematic Review

RATIONALE

Sleep disturbance during intensive care unit (ICU) admission is common and severe. Sleep disturbance has been observed in survivors of critical illness even after transfer out of the ICU. Not only is sleep important to overall health and well being, but patients after critical illness are also in a physiologically vulnerable state. Understanding how sleep disturbance impacts recovery from critical illness after hospital discharge is therefore clinically meaningful.

OBJECTIVES

This Systematic Review aimed to summarize studies that identify the prevalence of and risk factors for sleep disturbance after hospital discharge for critical illness survivors.

DATA SOURCES

PubMed (January 4, 2017), MEDLINE (January 4, 2017), and EMBASE (February 1, 2017).

DATA EXTRACTION

Databases were searched for studies of critically ill adult patients after hospital discharge, with sleep disturbance measured as a primary outcome by standardized questionnaire or objective measurement tools. From each relevant study, we extracted prevalence and severity of sleep disturbance at each time point, objective sleep parameters (such as total sleep time, sleep efficiency, and arousal index), and risk factors for sleep disturbance.

SYNTHESIS

A total of 22 studies were identified, with assessment tools including subjective questionnaires, polysomnography, and actigraphy. Subjective questionnaire studies reveal a 50-66.7% (within 1 mo), 34-64.3% (>1-3 mo), 22-57% (>3-6 mo), and 10-61% (>6 mo) prevalence of abnormal sleep after hospital discharge after critical illness. Of the studies assessing multiple time points, four of five questionnaire studies and five of five polysomnography studies show improved aspects of sleep over time. Risk factors for poor sleep varied, but prehospital factors (chronic comorbidity, pre-existing sleep abnormality) and in-hospital factors (severity of acute illness, in-hospital sleep disturbance, pain medication use, and ICU acute stress symptoms) may play a role. Sleep disturbance was frequently associated with postdischarge psychological comorbidities and impaired quality of life.

CONCLUSIONS

Sleep disturbance is common in critically ill patients up to 12 months after hospital discharge. Both subjective and objective studies, however, suggest that sleep disturbance improves over time. More research is needed to understand and optimize sleep in recovery from critical illness.

Association of intensive care unit delirium with sleep disturbance and functional disability after critical illness: an observational cohort study

Background

In medical intensive care unit (MICU) patients, the predictors of post-discharge sleep disturbance and functional disability are poorly understood. ICU delirium is a risk factor with a plausible link to sleep disturbance and disability. This study evaluated the prevalence of self-reported post-ICU sleep disturbance and increased functional disability, and their association with MICU delirium and other ICU factors.

Methods

This was an observational cohort study of MICU patients enrolled in a biorepository and assessed upon MICU admission by demographics, comorbidities, and baseline characteristics. Delirium was assessed daily using the Confusion Assessment Method for the ICU. Telephone follow-up interview instruments occurred after hospital discharge and included the Pittsburgh Sleep Quality Index (PSQI), and basic and instrumental activities of daily living (BADLs, IADLs) for disability. We define sleep disturbance as a PSQI score > 5 and increased disability as an increase in composite BADL/IADL score at follow-up relative to baseline. Multivariable regression modeled the associations of delirium and other MICU factors on follow-up PSQI scores and change in disability scores.

Results

PSQI and BADL/IADL instruments were completed by 112 and 122 participants, respectively, at mean 147 days after hospital discharge. Of those surveyed, 63% had sleep disturbance by PSQI criteria, and 37% had increased disability by BADL/IADL scores compared to their pre-MICU baseline. Total days of MICU delirium (p = 0.013), younger age (p = 0.013), and preexisting depression (p = 0.025) were significantly associated with higher PSQI scores at follow-up. Lower baseline disability (p < 0.001), older age (p = 0.048), and less time to follow-up (p = 0.024) were significantly associated with worsening post-ICU disability, while the occurrence of MICU delirium showed a trend toward association (p = 0.077).

Conclusions

After adjusting for important covariates, total days of MICU delirium were significantly associated with increased post-discharge sleep disturbance. Delirium incidence showed a trend toward association with increased functional disability in the year following discharge.

Creating Naptime: An Overnight, Nonpharmacologic Intensive Care Unit Sleep Promotion Protocol

Introduction:

Patients in the intensive care unit (ICU) have significantly disrupted sleep. Sleep disruption is believed to contribute to ICU delirium, and ICU delirium is associated with increased mortality. Experts recommend sleep promotion as a means of preventing or shortening the duration of delirium. ICU Sleep promotion protocols are highly complex and difficult to implement. Our objective is to describe the development, pilot implementation, and revision of a medical ICU sleep promotion protocol.

Methods:

Naptime is a clustered-care intervention that provides a rest period between 00:00 and 04:00. We used literature review, medical chart review, and stakeholder interviews to identify sources of overnight patient disturbance. With stakeholder input, we developed an initial protocol that we piloted on a small scale. Then, using protocol monitoring and stakeholder feedback, we revised Naptime and adapted it for unitwide implementation.

Results:

We identified sound, patient care, and patient anxiety as important sources of overnight disturbance. The pilot protocol altered the timing of routine care with a focus on medications and laboratory draws. During the pilot, there were frequent protocol violations for laboratory draws and for urgent care. Stakeholder feedback supported revision of the protocol with a focus on providing 60- to 120-minute rest periods interrupted by brief clusters of care between 00:00 and 04:00.

Discussion:

Four-hour blocks of rest may not be possible for all medical ICU patients, but interruptions can be minimized to a significant degree. Involvement of all stakeholders and frequent protocol reevaluation are needed for successful adoption of an overnight rest period.

Perceptions and Practices Regarding Sleep in the Intensive Care Unit. A Survey of 1,223 Critical Care Providers

RATIONALE

Poor sleep affects a majority of critically ill patients and is believed to be associated with adverse intensive care unit (ICU) outcomes such as delirium. While recent guidelines recommend sleep promotion efforts to improve delirium and other ICU outcomes, little is known about critical care providers' beliefs regarding sleep in the ICU.

OBJECTIVES

To evaluate providers' perceptions and practices regarding sleep in the ICU.

METHODS

From April to July 2014, the Sleep in the ICU Survey was disseminated to ICU providers via institutional e-mail lists and four international critical care society distribution lists.

MEASUREMENTS AND MAIN RESULTS

A total of 1,223 surveys were completed by providers from 24 countries. Respondents were primarily nurses (59%) or physicians (39%). Most respondents indicated that ICU patients experienced "poor" or "very poor" sleep (75%) and that poor sleep could affect the ICU recovery process (88%). Respondents also felt that poor sleep was associated with negative ICU outcomes such as the development of delirium (97%), longer length of stay (88%), poor participation in physical therapy (87%), and delayed liberation from mechanical ventilation (83%). The minority (32%) of providers had sleep-promoting protocols; these providers tended to believe their patients slept longer and experienced better sleep quality.

CONCLUSIONS

Though most clinicians believe that sleep in the ICU is poor and adversely affects patient outcomes, a minority of the ICUs represented by our respondents have sleep promotion protocols. These findings highlight discordant provider perceptions and practices surrounding sleep in the ICU, as well as a possible lack of available evidence-based guidelines for promoting sleep in the ICU.

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

Introduction:

Lack of restorative sleep and altered sleep-wake cycle is a frequent problem among patients admitted to the Intensive Care Unit (ICU). This study was conducted to estimate the prevalence of poor sleep and patient's perspective of factors governing poor sleep in the ICU.

Materials and Methods:

A cross-sectional study was performed in medical ICU of a tertiary care hospital. A total of 32 patients admitted to the ICU for at least 24 h were recruited. A 72-h actigraphy was done followed by a subjective assessment of sleep quality by the Richards-Campbell Sleep Questionnaire (RCSQ). Patient's perspective of sleep quality and quantity and possible risk factors for poor sleep were recorded.

Results:

Poor sleep (defined as RCSQ <50, sensitivity 88% and specificity 87%) was found in 15 out of the 32 patients (47%). The prevalence of poor sleep was higher among patients on mechanical ventilation (n = 15) (66.7% vs. 33.3%, P < 0.05). Patients with poor sleep had higher age (median age [in years] 42.8 vs. 31.4, P = 0.008), acute physiology, and chronic health evaluation II score (mean 14 ± 5.15 vs. 9.3 ± 5.64, P = 0.02), SAPS 3 score (62.7 ± 8.9 vs. 45.6 ± 10.5, P ≤ 0.0001), and worse actigraphy parameters. Only 55.63% of total sleep time was in the night (2200–0600). All patients had discomfort from indwelling catheters and suctioning of endotracheal tubes. All patients suggested that there be a minimum interruption in the sleep for interventions or medications.

Conclusion:

There is a high prevalence of poor sleep among patients admitted to the ICU. There is a dire need to minimize untimely interventions and design nonpharmacological techniques to allow patients to sleep comfortably.

Factors Influencing Patients' Sleep in the Intensive Care Unit: Perceptions of Patients and Clinical Staff

BACKGROUND

Multiple factors are believed to contribute to disruption of patients' sleep and negatively affect clinical outcomes in the intensive care unit. Achieving restorative sleep for critically ill patients remains a challenge.

OBJECTIVES

To explore the perceptions and beliefs of staff, patients, and surrogates regarding the environmental and nonenvironmental factors in the medical intensive care unit that affect patients' sleep.

METHODS

This qualitative study included 24 medical intensive care unit staff (7 physicians, 5 respiratory therapists, 10 nurses, and 2 patient-care assistants), 8 patients, and 6 patient surrogates. Semistructured interviews were conducted, and qualitative analysis of content was used to code, categorize, and identify interview themes.

RESULTS

Interview responses revealed 4 themes with related subthemes: (1) The overnight medical intensive care unit environment does affect sleep, (2) nonenvironmental factors such as difficult emotions and anxiety also affect sleep, (3) respondents' perceptions about sleep quality in the medical intensive care unit were highly variable, and (4) suggestions for sleep improvement included reassuring patients and care-clustering strategies.

CONCLUSIONS

Results of this study suggest that environment is not the only factor influencing patients' sleep. Decreases in environmental sources of disturbance are necessary but not sufficient for sleep improvement. Guideline-recommended clustered care is needed to provide adequate sleep opportunity, but patients' emotions and anxiety also must be addressed.

Feasibility of Continuous Actigraphy in Patients in a Medical Intensive Care Unit

BACKGROUND

Poor sleep and immobility are common in patients in the medical intensive care unit (MICU) and are associated with adverse outcomes. Interventions to promote sleep and mobilization in the MICU are gaining popularity, but feasible instruments to measure their effectiveness are lacking. Actigraphy may be useful for large-scale, continuous measurement of sleep and activity, but its feasibility in MICU patients has not been rigorously evaluated.

OBJECTIVE

To evaluate the feasibility of continuous actigraphy measurement in consecutive MICU patients.

METHODS

Wrist and ankle actigraphy data were collected for 48 hours in consenting MICU patients. Actigraphy-based measures of estimated sleep and activity were summarized by using descriptive statistics. Agreement between wrist and ankle measurements was evaluated using Cohen κ statistics (for sleep quantity) and intraclass correlation coefficients (for activity).

RESULTS

Overall, 35 of 48 (73%) eligible patients were enrolled, including 10 requiring mechanical ventilation. Of these patients, 34 (97%) completed the 48-hour actigraphy period; 20 (57%) found the devices comfortable. Wrist devices logged a mean (SD) of 33.4 (8.8) hours of estimated sleep (72% [19%] of recording period) and 19.6 (17.2) movements per 30-second epoch. Ankle devices recorded 43.2 (4.1) hours of estimated sleep (93% [7%] of recording period) and 5.1 (6.0) movements per 30 seconds.

CONCLUSIONS

Uninterrupted actigraphy is feasible and generally well tolerated by MICU patients and may be considered for future large-scale studies. Wrist and ankle actigraphy measurements of sleep and activity in this setting agree poorly and cannot be used interchangeably.

Measuring Sleep in the Intensive Care Unit: A Critical Appraisal of the Use of Subjective Methods

OBJECTIVES

To collate and appraise the use of subjective measures to assess sleep in the intensive care unit (ICU).

DESIGN

A systematic search and critical review of the published literature.

DATA SOURCES

Medline, Scopus, and Cumulative Index to Nursing and Allied Health Literature were searched using combinations of the key words "Sleep," "Critical Care," "Intensive Care," and "Sleep Disorders," and this was complemented by hand searching the most recent systematic reviews on related topics.

STUDY ELIGIBILITY CRITERIA

Papers were limited to non-gray English-language studies of the adult population, published in the last 10 years.

OUTCOME MEASURES

Primary outcomes were the number and categorization of quantitative studies reporting measures of sleep, the number of participants for each data collection method, and a synthesis of related material to appraise the use of survey tools commonly used for sleep measurement in the ICU.

RESULTS

Thirty-eight papers reported quantitative empirical data collection on sleep, 17 of which used a primary method of subjective assessment of sleep by the patient or nurse. Thirteen methods of subjective sleep assessment were identified. Many of these tools lacked validity and reliability testing.

CONCLUSIONS

Research using questionnaires to assess sleep is commonplace in light of practical barriers to polysomnography or other measures of sleep. A methodologically sound approach to tool development and testing is crucial to gather meaningful data, and this robust approach was lacking in many cases. Further research measuring sleep subjectively in ICU should use the Richards Campbell Sleep Questionnaire, and researchers should maintain a commitment to transparency in describing methods.

Can we improve pain and sleep in elderly individuals with transcranial direct current stimulation? - Results from a randomized controlled pilot study

Background

The prevalence of chronic pain and sleep disturbances substantially increases with age. Pharmacotherapy remains the primary treatment option for these health issues. However, side effects and drug interactions are difficult to control in elderly individuals.

Aims

The objective of this study was to assess the feasibility of conducting a randomized sham-controlled trial and to collect preliminary data on the efficacy of transcranial direct current stimulation (tDCS) to reduce pain and improve sleep in older adults suffering from chronic pain.

Methods

Fourteen elderly individuals (mean age 71±7 years) suffering from chronic pain and sleep complaints were randomized to receive either anodal tDCS, applied over the primary motor cortex (2 mA, 20 minutes), or sham tDCS, for 5 consecutive days. Pain was measured with visual analog scales, pain logbooks and questionnaires, while sleep was assessed with actigraphy, sleep diaries and questionnaires.

Results

There were no missing data for pain and sleep measures, except for actigraphy, that generated several missing data. Blinding was maintained throughout the study, for both the evaluator and participants. Active but not sham tDCS significantly reduced pain (P<0.05). No change was observed in sleep parameters, in both the active and sham tDCS groups (all P≥0.18).

Conclusion

The present study provides guidelines for the implementation of future tDCS studies in larger populations of elderly individuals. M1 anodal tDCS in this population appears to be effective to reduce pain, but not to improve sleep.

Sound level intensity severely disrupts sleep in ventilated ICU patients throughout a 24-h period: a preliminary 24-h study of sleep stages and associated sound levels

Background

It is well recognized that sleep is severely disturbed in patients in intensive care units (ICU) and that this can compromise their rehabilitation potential. However, it is still difficult to objectively assess sleep quantity and quality and the determinants of sleep disturbance remain unclear. The aim of this study was therefore to evaluate carefully the impact of ICU sound intensity levels and their sources on ICU patients’ sleep over a 24-h period.

Methods

Sleep and sound levels were recorded in 11 ICU intubated patients who met the criteria. Sleep was recorded using a miniaturized multi-channel ambulatory recording device. Sound intensity levels and their sources were recorded with the Nox-T3 monitor. A 30-s epoch-by-epoch analysis of sleep stages and sound data was carried out. Multinomial and binomial logistic regressions were used to associate sleep stages, wakefulness and sleep–wake transitions with sound levels and their sources.

Results

The subjects slept a median of 502.2 [283.2–718.9] min per 24 h; 356.9 [188.6–590.9] min at night (22.00–08.00) and 168.5 [142.5–243.3] during daytime (8 am–10 pm). Median sound intensity level reached 70.2 [65.1–80.3] dBC at night. Sound thresholds leading to disturbed sleep were 63 dBC during the day and 59 dBC during the night. With levels above 77 dBC, the incidence of arousals (OR 3.9, 95% CI 3.0–5.0) and sleep-to-wake transitions (OR 7.6, 95% CI 4.1–14) increased. The most disturbing noises sources were monitor alarms (OR 4.5, 95% CI 3.5–5.6) and ventilator alarms (OR 4.2, 95% CI 2.9–6.1).

Conclusions

We have shown, in a small group of 11 non-severe ICU patients, that sound level intensity, a major disturbance factor of sleep continuity, should be strictly controlled on a 24-h profile.

Incidence, Characterization, and Predictors of Sleep Apnea in Consecutive Brain Injury Rehabilitation Admissions

OBJECTIVE

To prospectively examine the incidence and risk factors for sleep apnea in consecutive brain injury rehabilitation admissions.

SETTING

Inpatient neurorehabilitation hospital.

PARTICIPANTS

Participants (n = 86) were consecutive neurorehabilitation admissions.

DESIGN

Retrospective analysis of prospectively collected data.

MAIN MEASURES

Polysomnography.

RESULTS

Half (49%) of the sample was diagnosed with sleep apnea. For the full sample, univariate logistic regression revealed age (odds ratio: 1.08; 95% confidence interval: 1.04-1.11) and hypertension (odds ratio: 7.77; 95% confidence interval: 2.81-21.47) as significant predictors of sleep apnea diagnosis. Results of logistic regression conducted within the traumatic brain injury group revealed age (odds ratio: 1.07; 95% confidence interval: 1.02-1.13) as the only significant predictor of apnea diagnosis after adjustment for other variables. Hierarchical generalized linear regression models for the prediction of apnea severity (ie, apnea-hypopnea index found that Functional Independence Measure Cognition Score (P = .01) and age (P < .01) were significant predictors. Following adjustment for all other terms, only age (P < .01) remained significant.

CONCLUSION

Sleep apnea is prevalent in acute neurorehabilitation admissions and traditional risk profiles for sleep apnea may not effectively screen for the disorder. Given the progressive nature of obstructive sleep apnea and morbidity associated with even mild obstructive sleep apnea, early identification and intervention may address comorbidities influencing acute and long-term outcome.