Association Between Inpatient Sleep Loss and Hyperglycemia of Hospitalization

Hyperglycemic Patterns in Acute Stroke Patients

Background and objective Hyperglycemia following a stroke can independently aggravate the ischemic area. Ensuring adequate glucose management can help avoid complications and minimize mortality and disability in these patients. This study aimed to investigate hyperglycemic patterns in acute stroke patients. Materials and methods We conducted a non-interventional prospective observational study involving acute stroke patients by employing continuous glucose monitoring (CGM) for 72 hours after the onset of stroke symptoms. Admission glucose, patients' total mean glucose (TMG), and time in range (TIR) (70-140 mg/dl) were correlated with the hyperglycemic patterns elicited by the CGM system software. Data were analyzed using SPSS Statistics 26.0 (IBM Corp., Armonk, NY) with descriptive statistics, the Kruskal-Wallis test, and χ2 test. Results Our cohort comprised 105 diabetic and non-diabetic stroke patients. The hyperglycaemic patterns that we observed were as follows: (i) hyperglycemia from 23:00 to 10:00, (ii) 06.00 to 10.00, (iii) at night and after meals, iv) no pattern, v) unspecified patterns. Patients with nocturnal and morning hyperglycemia had admission glucose of 183 mg/dl, mean 72-hour glucose of 156 mg/dl, and TIR of 37%. Patients who did not develop a hyperglycemic pattern either had admission glucose of 131 mg/dl and TIR of 89% or had high admission glucose (197 mg/dl) and a short TIR (14%). Conventional pre-meal capillary glucose tests do not appear to detect these patients' hyperglycemic tendencies. Conclusions These results may indicate the necessity for more intensive measurements during the night or dawn in this patient population. Admission glucose could be considered a predictor of hyperglycemic patterns and contribute to the patient's care plan.

Daily variation in blood glucose levels during continuous enteral nutrition in patients on the intensive care unit: a retrospective observational study

BACKGROUND

The circadian timing system coordinates daily cycles in physiological functions, including glucose metabolism and insulin sensitivity. Here, the aim was to characterise the 24-h variation in glucose levels in critically ill patients during continuous enteral nutrition after controlling for potential sources of bias.

METHODS

Time-stamped clinical data from adult patients who stayed in the Intensive Care Unit (ICU) for at least 4 days and received enteral nutrition were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Linear mixed-effects and XGBoost modelling were used to determine the effect of time of day on blood glucose values.

FINDINGS

In total, 207,647 glucose measurements collected during enteral nutrition were available from 6,929 ICU patients (3,948 males and 2,981 females). Using linear mixed-effects modelling, time of day had a significant effect on blood glucose levels (p < 0.001), with a peak of 9.6 [9.5-9.6; estimated marginal means, 95% CI] mmol/L at 10:00 in the morning and a trough of 8.6 [8.5-8.6] mmol/L at 02:00 at night. A similar impact of time of day on glucose levels was found with the XGBoost regression model.

INTERPRETATION

These results revealed marked 24-h variation in glucose levels in ICU patients even during continuous enteral nutrition. This 24-h pattern persists after adjustment for potential sources of bias, suggesting it may be the result of endogenous biological rhythmicity.

FUNDING

This work was supported by a VENI grant from the Netherlands Organisation for Health Research and Development (ZonMw), an institutional project grant, and by the Dutch Research Council (NWO).

Sleeping with one cerebrum open: patient and staff perceptions of sleep quality and quantity on an inpatient neurology unit

STUDY OBJECTIVES

This study sought to investigate perceptions of sleep disruptions among patients and staff in the inpatient neurology setting. The objectives were to explore the differences between these groups regarding factors that impact sleep, identify the most significant sleep disruptions, and examine the barriers and opportunities suggested to improve inpatient sleep.

METHODS

A survey-based observational study was conducted on a 25-bed inpatient neurology unit at an academic medical center. Staff and patients completed the Potential Hospital Sleep Disruptions and Noises Questionnaire, and focus groups were held to gather qualitative data. Patient-reported sleep measures were collected for additional assessment. Responses were dichotomized for comparison. Regression models were used to assess associations between disruptors and patient-reported sleep measures. Qualitative thematic analyses were performed.

RESULTS

Forty-nine inpatient staff and 247 patients completed sleep surveys. Top primary patient diagnoses included stroke, epilepsy, autoimmune diseases, and psychogenic nonepileptic attacks. Medical interventions, environmental factors, patient-related factors, and unit workflows emerged as key themes related to sleep disruptions. Patient-reported sleep efficiency was significantly reduced when pain, anxiety, stress, temperature, and medication administration disrupted sleep. Staff perspectives highlighted medical interventions as most disruptive to sleep, while patients did not find them as disruptive as expected.

CONCLUSIONS

Differing perspectives on sleep disruption exist between staff and patients in the inpatient neurology setting. Medical interventions may be overstated in staff perceptions and inpatient sleep research, as pain, anxiety, and stress had the most significant impact on patient-reported sleep efficiency.

CITATION

Kadura S, Poulakis A, Roberts DE, et al. Sleeping with one cerebrum open: patient and staff perceptions of sleep quality and quantity on an inpatient neurology unit. J Clin Sleep Med. 2024;20(4):619-629.

Association of light at night with cardiometabolic disease: A systematic review and meta-analysis

Light at night (LAN) is a significant but underappreciated risk factor contributing to cardiometabolic disease (CMD). We therefore conducted the review examining the relationship of LAN exposure with CMD in order to investigate the effects of LAN exposure on CMD. We searched PubMed, Web of Science, Embase, and Scopus for eligible studies published from database inception to August 17, 2023. The pooled effect size was calculated using random-effects models. Heterogeneity among the studies was quantified by Cochran's Q test and I2 statistic. A total of 1,019,739 participants from 14 studies (5 cohort studies and 9 cross-sectional) were included. Among the 14 eligible studies, 9 on obesity, 4 on diabetes, 2 on hypertension, 1 on dyslipidemia, and 1 on coronary heart disease. Exposure to higher levels of LAN were associated with 21% higher risk of CMD (Summary risk ratio, SRR: 1.21, 95% CI = 1.16-1.27), accompanied by substantial heterogeneity (I2 = 61%; tau2 = 0.004; Cochran's Q = 41.02). Specifically, individuals in the highest category of LAN exposure exhibited 23% higher risk of obesity (SRR: 1.23, 95% CI = 1.14-1.32), 46% higher risk of diabetes (SRR: 1.46, 95% CI = 1.05-2.03) and 21% higher risk of other CMDs (SRR: 1.21, 95% CI = 1.10-1.34). Subgroup analyses revealed that the pooled-effect size of LAN and CMD was higher for indoor LAN than outdoor LAN (indoor LAN: SRR = 1.36; outdoor LAN: SRR = 1.17, P = 0.03). The overall quality was rated as moderate using GRADE guideline. Our study strengthens the evidence on the increase in CMD risk due to LAN exposure. Findings from this study have important implications for identifying modifiable risk factor of CMD, future prevention strategy development, and resource allocation for high-risk group.

Medical clowns improve sleep and shorten hospitalization duration in hospitalized children

Intervention by medical clowns was proven to have a positive effect in reducing stress and anxiety, increasing cooperation and improving the child's experience prior to a medical procedure and during the various stages of hospitalization. Sleep has long been known to be essential for recovery from injury and sickness, improving immune functions, and there is an emerging understanding of the restorative role quality sleep has on health and diseases. Hospitalized children are more exposed to sleep disorders and sleep deprivation due to the hospitalized environment, anxiety, and illness. Different behavioral interventions to promote sleep were previously studied in hospitalized children, some showing potential benefits. In this study, we sought to examine the ability of medical clowns to positively impact the child's sleep during hospitalization. The study is an observational matching (case-control) interventional study which took place at the department of pediatrics in Carmel Medical Center. Forty-two hospitalized children ages 2-17 were included in two equal groups of intervention or control. Children in the control group were recruited based on a method of matching the chief complaint plus the medical diagnosis and age of the children in the intervention group in a 1:1 matching. The children's sleep parameters were objectively evaluated for two consecutive nights using an Actigraph device and subjectively by parent's questionnaire. Additional factors such as hospital length of stay and demographics were also monitored. The study group had an encounter with a medical clown (15-30 min) before bedtime on either the first or the second night, and the control group was not exposed to a medical clown at all. We then compared the data from both groups using unpaired t-tests. Hospitalized children exposed to a medical clown prior to bedtime (n = 21) and children not exposed to a medical clown (n = 21) were comparable in age and clinical characteristics. The study group had a significantly delayed wake-up time compared to the control group (06:59 ± 46 min vs. 07:26 ± 42 min, p < 0.05) (mean difference of 27 min). Night's duration (from bedtime to wake-up) was significantly longer in the study versus the control group (570 ± 76 vs. 500 ± 66.1 min, p < 0.05), a total mean increase of 70 min, and sleep efficiency were significantly increased (92.3 ± 4.6% vs. 87.9 ± 8.7%, p < 0.05). Within the clown group, when comparing nights with and without exposure to a medical clown, total sleep time was prolonged by a mean of 54 min on the night of the intervention (518 ± 74 min vs. 464 ± 59 min, p < 0.01), and the total wake time during the night were reduced (52 ± 27 min vs. 77 ± 61 min, P < 0.05), mean difference of 25 min), mainly by reduction of wake period after sleep onset (WASO) (42 ± 25 min vs. 66 ± 58 min, p < 0.05), mean difference of 24 min). Regarding general medical outcomes, hospital stay was significantly shorter in the clown group vs. control (104 ± 42 h vs. 128 ± 42 h, p < 0.05), a mean reduction of 23 h-nearly an entire day. An encounter with a medical clown before bedtime in hospitalized children positively affects sleep parameters, which may be of great importance for healing in general. The clown intervention was also shown to shorten the hospital stay. Larger scale studies are warranted to establish these findings.

Patients With Chronic Foot and Ankle Conditions Experience Significant Improvements in Sleep Quality Following Surgical Intervention

BACKGROUND

Poor sleep quality is associated with metabolic dysregulation and impaired healing. The purpose of the current study was to quantify the prevalence of poor sleep in patients with atraumatic foot and ankle (F&A) conditions and determine whether surgical treatment is associated with sleep quality improvement.

METHODS

Patients scheduled for surgical management of atraumatic F&A conditions were enrolled by 4 fellowship-trained orthopaedic F&A surgeons between May 2018 and April 2019. Patients completed the Pittsburgh Sleep Quality Index (PSQI) pre- and postoperatively. The PSQI ranges from 0 to 21, with a score ≥5 indicative of poor sleep quality. Patients also reported their perception of how their current F&A pain influenced their sleep quality on a scale of 0 to 10, where 0 indicated no influence and 10 indicated a strong influence (pain perception score [PPS]). Patients with known sleep disorders, acute surgical trauma, and infection were excluded.

RESULTS

A total of 115 patients were enrolled. The mean preoperative PSQI and PPS were 8.1 ± 3.6 (range, 2-19) and 3.1 ± 2.7 (range, 0-10), respectively. Overall, 86.1% of patients had poor sleep quality (PSQI score ≥5). Similarly, 64.3% of patients had a PPS ≥1, indicating the belief that F&A pain contributed to sleep disturbance. A minimum of 6 months of follow-up was collected for 72 (62.6%) patients. On average, these 72 patients experienced significant improvements in sleep quality (mean PSQI decreased from 7.8 ± 3.2 to 5.4 ± 3.1, P < .001). Of these patients, 59.7% continued to experience poor sleep quality (PSQI ≥5), and 55.6% perceived that F&A pain contributed to sleep disturbance (PPS ≥1).

CONCLUSION

In this series, 86.1% of patients presenting for management of atraumatic F&A conditions had poor sleep quality at the time of their initial visit, with 64.3% perceiving their F&A conditions to influence their sleep quality. Improvements in sleep quality were observed at 6 months postoperatively, though over half of patients continued to experience poor sleep quality. The location of pathology and procedure performed was not associated with sleep quality.

LEVELS OF EVIDENCE

Level IV: Prospective case series.

Sleep Deprivation and Its Consequences

OBJECTIVE

This article reviews the clinical, cognitive, behavioral, and physiologic consequences of sleep deprivation in relation to general neurology practice.

LATEST DEVELOPMENTS

Despite being one of the most common sleep problems in modern society, the role of sleep deprivation is underrecognized and underestimated in clinical medicine and general neurology practice. The recognition, diagnosis, and management of sleep deprivation in neurologic practice have only recently received close attention. The consequences of sleep deprivation involve all aspects of general neurology practice, including individuals with neurologic disease, neurologists, communities, and health care systems. The identification and timely management of sleep deprivation symptoms may help to improve symptoms of underlying primary neurologic disorders.

ESSENTIAL POINTS

This article emphasizes complexities related to the identification and evaluation of sleep deprivation in general neurology practice and describes the consequences of sleep deprivation. By recognizing sleep deprivation in patients with neurologic conditions, the neurologist can provide comprehensive care and contribute to improved clinical and neurologic outcomes.

Society of Anesthesia and Sleep Medicine Position Paper on Patient Sleep During Hospitalization

This article addresses the issue of patient sleep during hospitalization, which the Society of Anesthesia and Sleep Medicine believes merits wider consideration by health authorities than it has received to date. Adequate sleep is fundamental to health and well-being, and insufficiencies in its duration, quality, or timing have adverse effects that are acutely evident. These include cardiovascular dysfunction, impaired ventilatory function, cognitive impairment, increased pain perception, psychomotor disturbance (including increased fall risk), psychological disturbance (including anxiety and depression), metabolic dysfunction (including increased insulin resistance and catabolic propensity), and immune dysfunction and proinflammatory effects (increasing infection risk and pain generation). All these changes negatively impact health status and are counterproductive to recovery from illness and operation. Hospitalization challenges sleep in a variety of ways. These challenges include environmental factors such as noise, bright light, and overnight awakenings for observations, interventions, and transfers; physiological factors such as pain, dyspnea, bowel or urinary dysfunction, or discomfort from therapeutic devices; psychological factors such as stress and anxiety; care-related factors including medications or medication withdrawal; and preexisting sleep disorders that may not be recognized or adequately managed. Many of these challenges appear readily addressable. The key to doing so is to give sleep greater priority, with attention directed at ensuring that patients' sleep needs are recognized and met, both within the hospital and beyond. Requirements include staff education, creation of protocols to enhance the prospect of sleep needs being addressed, and improvement in hospital design to mitigate environmental disturbances. Hospitals and health care providers have a duty to provide, to the greatest extent possible, appropriate preconditions for healing. Accumulating evidence suggests that these preconditions include adequate patient sleep duration and quality. The Society of Anesthesia and Sleep Medicine calls for systematic changes in the approach of hospital leadership and staff to this issue. Measures required include incorporation of optimization of patient sleep into the objectives of perioperative and general patient care guidelines. These steps should be complemented by further research into the impact of hospitalization on sleep, the effects of poor sleep on health outcomes after hospitalization, and assessment of interventions to improve it.

Melatonin Versus Trazodone for the Treatment of New Onset Insomnia in Hospitalized Adult Patients

Background: New-onset insomnia and other sleep disturbances occur more frequently in the inpatient setting due to a variety of physical and psychological factors. Studies have found that non-pharmacologic interventions can be effective in treating insomnia in the inpatient setting, particularly in the ICU, to prevent adverse outcomes, but further research is needed to identify optimal pharmacologic interventions. Objective: To compare treatment outcomes of patients initiated on melatonin and trazodone to treat new-onset insomnia in non-ICU hospitalized patients based on the need for an additional sleep aid therapy during hospitalization and to compare the rate of adverse events of each agent. Methods: A retrospective chart review was conducted for adult patients admitted to a non-ICU general medicine or surgical floor at a community teaching hospital between July 1, 2020 and June 30, 2021. Patients were included if they were initiated on scheduled melatonin or trazodone for the treatment of new onset insomnia during their hospitalization. Patients were excluded if they had a previous diagnosis of insomnia, were prescribed 2 sleep aids simultaneously, or if their admission medication reconciliation included pharmacologic treatment for insomnia. Clinical data collected included non-pharmacologic interventions, sleep aid dose, number of doses of sleep aid administered, and total number of nights an additional sleep aid was needed. The primary outcome was the percentage of patients needing additional therapy defined as, administering an additional sleep aid between 2100-0600 or utilizing more than 1 sleep aid agent during hospitalization compared between melatonin and trazodone. Secondary outcomes of this study included the rate of adverse events such as difficulty awakening, daytime sleepiness, serotonin syndrome, falls, and development of in hospital delirium. Results: Of 158 included patients, 132 received melatonin and 26 received trazodone. Male sex (53.8% [melatonin] vs. 53.8% [trazodone]; P = 1), hospital length of stay (7.7 vs 7.7 days; P = .68), and administration of drugs that could cause insomnia (34.1% vs 23.1%vs; P = .27) were similar between sleep aids. Percentage of patients needing an additional sleep aid during hospitalization (19.7% vs 34.6%; P = .09), and patients prescribed a sleep aid at discharge (39.4% vs 46.2%; P = .52) were similar between sleep aids, respectively. Rates of adverse events were similar between sleep aids. Conclusions: There was no significant difference between the 2 agents in terms of the primary outcome, even though a higher rate of patients treated with trazodone for new-onset insomnia during hospitalization required an additional sleep aid compared to those treated with melatonin. No difference in adverse events was observed.

Perspective: leveraging the electronic health record to improve sleep in the hospital

Inpatient sleep loss can worsen health outcomes, including delirium and falls. Sleep disruptions in the hospital often originate from provider-patient interactions ordered electronically through computerized provider order entry. These orders contain clinical decision support systems with default schedules. These defaults are often around-the-clock, may not align with patients' needs, and cause iatrogenic sleep loss. Optimizing clinical decision support in the electronic health record can decrease unnecessary sleep disruptions and influence sleep-friendly decision-making.

CITATION

Kadura S, Siala T, Arora VM. Perspective: Leveraging the electronic health record to improve sleep in the hospital. J Clin Sleep Med. 2023;19(2):421-423.

Prevalence and Correlates of Sleep Disorders Among Pediatric Inpatients in a Tertiary Pediatric Hospital

Background It is possible to define sleep disorders as any disturbance in sleep timing, quality, or quantity that results in daytime distress and impairment in functioning that, in turn, affects the baseline functional status of an individual. Our study aimed to describe how sleep disorders might affect pediatric inpatients at King Abdulaziz University Hospital (KAUH) as well as estimate their prevalence (2021-2022). We assessed the sleep habits using questionnaires and analyzed and combined these data to create rankings to compare the different issues affecting sleep habits in pediatric patients. Methodology Two scoring systems were used in this study, namely (a) the Children's Sleep Habits Questionnaire (CSHQ) and (b) the Pediatric Sleep Questionnaire. Analyses of the data were conducted using SPSS version 23 (IBM Corp., Armonk, NY, USA) and GraphPad Prism version 8 (GraphPad Software, Inc., San Diego, CA, USA). Results The prevalence of sleep disorders and their correlations were evaluated among 98 pediatric inpatients at KAUH, Saudi Arabia, between 2021 and 2022. The average duration of hospital stay was 11.97 ± 11.0 days (N = 78), and the average number of previous admissions was 2.85 ± 3.7 (N = 93). Conclusions According to the sleep behavior domain of the CSHQ, most children woke up sweating, screaming, and inconsolable during the night. Furthermore, bedtime resistance and sleep anxiety were the most prevalent sleep disturbances observed in the study population.

Timing of Blood Draws Among Patients Hospitalized in a Large Academic Medical Center

This study describes the degree to which blood draws occurred among hospitalized patients during traditional sleep hours and investigates trends over time.

Sleep in hospitalized pediatric and adult patients - A systematic review and meta-analysis

Background

Sleep is essential for recovery from illness. As a result, researchers have shown a growing interest in the sleep of hospitalized patients. Although many studies have been conducted over the past years, an up to date systematic review of the results is missing.

Objective

The objective of this systematic review was to assess sleep quality and quantity of hospitalized patients and sleep disturbing factors.

Methods

A systematic literature search was conducted within four scientific databases. The search focused on synonyms of 'sleep' and 'hospitalization'. Papers written in English or Dutch from inception to April 25th,2022 were included for hospitalized patients >1 year of age. Papers exclusively reporting about patients receiving palliative, obstetric or psychiatric care were excluded, as well as patients in rehabilitation and intensive care settings, and long-term hospitalized geriatric patients. This review was performed in accordance with the PRISMA guidelines.

Results

Out of 542 full text studies assessed for eligibility, 203 were included, describing sleep quality and/or quantity of 17,964 patients. The median sample size of the studies was 51 patients (IQR 67, range 6-1472). An exploratory meta-analysis of the Total Sleep Time showed an average of 7.2 h (95%-CI 4.3, 10.2) in hospitalized children, 5.7 h (95%-CI 4.8, 6.7) in adults and 5.8 h (95%-CI 5.3, 6.4) in older patients (>60y). In addition, a meta-analysis of the Wake After Sleep Onset (WASO) showed a combined high average of 1.8 h (95%-CI 0.7, 2.9). Overall sleep quality was poor, also due to nocturnal awakenings. The most frequently cited external factors for poor sleep were noise and number of patients in the room. Among the variety of internal/disease-related factors, pain and anxiety were most frequently mentioned to be associated with poor sleep.

Conclusion

Of all studies, 76% reported poor sleep quality and insufficient sleep duration in hospitalized patients. Children sleep on average 0.7-3.8 h less in the hospital than recommended. Hospitalized adults sleep 1.3-3.2 h less than recommended for healthy people. This underscores the need for interventions to improve sleep during hospitalization to support recovery.

Effect of sleep disturbance on biomarkers related to the development of adverse health outcomes: A systematic review of the human literature

Literature suggests that unrestricted and undisturbed sleep is vital for basic human function and performance; however, it is unclear as to what amount of sleep disturbance leads to dysregulation in biomarkers, which may underscore the development of adverse health effects. This systematic review aims to identify the amount of sleep disturbance that contributes to biomarker changes as a potential precursor to the development of adverse health effects. English-language comparative studies available in PubMed, Cochrane Central, EMBASE, and CINAHL databases from 1 January 1980 to 31 July 2021 were searched. Where possible, random-effects meta-analyses were used to examine the effect of sleep disturbances on adverse health effects. The risk of bias of individual studies was assessed using the Cochrane Risk of Bias Tool and the Risk of Bias of Nonrandomised Studies - of Exposures instruments and the certainty of the body of evidence for each outcome was assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. The search identified 92 primary studies reporting on blood pressure, hypertension, heart rate, cardiac arrhythmia, cardiac output, waist circumference, cortisol, adrenaline, noradrenaline, immune system markers, glucose, insulin, cholesterol, and triglyceride levels. Although some meta-analyses suggested there may be an association between sleep disturbances and certain outcomes, the certainty in the evidence was very low due to concerns with risk of bias, inconsistency across exposures, populations, and imprecision in the estimates of effects. Further research is needed to explore the point at which types, levels and duration of sleep disturbances may begin to increase the risk of developing adverse health outcomes to inform and tailor health interventions.

Defining existing practices to support the sleep of hospitalized patients: A mixed-methods study of top-ranked hospitals

The objective of this study was to understand the existing practices and attitudes regarding inpatient sleep at the 2020 US News and World Report (USNWR) Honor Roll pediatric (n = 10) and adult (n = 20) hospitals. Section chiefs of Hospital Medicine from these institutions were surveyed and interviewed between June and August 2021. Among 23 of 30 surveyed physician leaders (response rate = 77%), 96% (n = 22) rated patient sleep as important, but only 43% (n = 10) were satisfied with their institutions' efforts. A total of 96% (n = 22) of institutions lack sleep equity practices. Fewer than half (48%) of top hospitals have sleep-friendly practices, with the most common practices including reducing overnight vital sign monitoring (43%), decreasing ambient light in the wards (43%), adjusting lab and medication schedules (35%), and implementing quiet hours (30%). Major themes from qualitative interviews included: importance of universal sleep-friendly cultures, environmental changes, and external incentives to improve patient sleep.

Adding Insult to Injury: Sleep Deficiency in Hospitalized Patients

Sleep deficiency is a common problem in the hospital setting. Contributing factors include preexisting medical conditions, illness severity, the hospital environment, and treatment-related effects. Hospitalized patients are particularly vulnerable to the negative health effects of sleep deficiency that impact multiple organ systems. Objective sleep measurement is difficult to achieve in the hospital setting, posing a barrier to linking improvements in hospital outcomes with sleep promotion protocols. Key next steps in hospital sleep promotion include improvement in sleep measurement techniques and harmonization of study protocols and outcomes to strengthen existing evidence and facilitate data interpretation across studies.

Assessment of Sleep Duration and Number of Awakenings Based on Ankle and Wrist Actigraphy in Medical Hospitalized Older Patients

BACKGROUND

Most studies performed in the hospital assess sleep using self-reports; few rely on actigraphy. Although wrist actigraphy is commonly used for sleep assessment in field studies, in-hospital assessment may be challenging and cumbersome because other more necessary monitoring devices are often attached to patients' upper limbs; these may affect interpretation of wrist activity data. Placement on the ankle may be a viable solution.

OBJECTIVE

To compare total sleep time (TST) and number of awakenings (NOA) using concomitant wrist and ankle actigraphy, as well as self-reports in a sample of older adult patients hospitalized in medical units.

METHODS

This was a prospective observational study. Objective sleep data were collected using ankle and wrist actigraphy, and subjective data using sleep diary. Repeated measures mixed model analysis was performed, adjusting for age, gender, sleep medications, symptoms severity, interaction between types of measure, and night number.

RESULTS

Twenty-one older adults (65+) wore ankle and wrist actigraphy devices and subjectively estimated sleep parameters for an average of (2.15 ± 1.01) nights, with 40 nights available for analysis. TST was lower for wrist than ankle actigraphy (F_(2,87) = 7.92, p = .0007). Neither differed from self-reports. NOA differed between all types of measure (ankle, 8.58 ± 6.66; wrist, 15.49 ± 7.47; self-report, 1.81 ± 1.83; F_(2,85) = 47.66, p < .001). No significant within-subject variations and no interaction between devices and repeated measures were found.

CONCLUSIONS

Despite differences between ankle and wrist assessments, all three methods provided consistent TST estimation within participants. Findings provide preliminary support for the use of ankle actigraphy for sleep assessment in hospital settings.

Insulin resistance induced by long-term sleep deprivation in rhesus macaques can be attenuated by Bifidobacterium

Long-term sleep deprivation (SD) is a bad lifestyle habit, especially among specific occupational practitioners, characterized by circadian rhythm misalignment and abnormal sleep/wake cycles. SD is closely associated with an increased risk of metabolic disturbance, particularly obesity and insulin resistance. The incretin hormone, glucagon-like peptide-1 (GLP-1), is a critical insulin release determinant secreted by the intestinal L-cell upon food intake. Besides, the gut microbiota participates in metabolic homeostasis and regulates GLP-1 release in a circadian rhythm manner. As a commonly recognized intestinal probiotic, Bifidobacterium has various clinical indications regarding its curative effect. However, few studies have investigated the effect of Bifidobacterium supplementation on sleep disorders. In the present study, we explored the impact of long-term SD on the endocrine metabolism of rhesus monkeys and determined the effect of Bifidobacterium supplementation on the SD-induced metabolic status. Lipid concentrations, body weight, fast blood glucose, and insulin levels increased after SD. Furthermore, after 2 mo of long-term SD, the intravenous glucose tolerance test showed that the glucose metabolism was impaired and the insulin sensitivity decreased. Moreover, 1 mo of Bifidobacterium oral administration significantly reduced blood glucose and attenuated insulin resistance in rhesus macaques. Overall, our results suggested that Bifidobacterium might be used to alleviate SD-induced aberrant glucose metabolism and improve insulin resistance. Also, it might help in better understanding the mechanisms governing the beneficial effects of Bifidobacterium.NEW & NOTEWORTHY Our findings demonstrated that long-term sleep deprivation is closely associated with metabolic syndromes. Bifidobacterium administration showed a superior effect on insulin resistance caused by sleep deprivation. Overall, we provide prevention and treatment methods for long-term sleep deprivation, a bad lifestyle habit among specific occupational practitioners, such as irregular shift workers.

Intranasal Dexmedetomidine for the Treatment of Pre-operative Anxiety and Insomnia: A Prospective, Randomized, Controlled, and Clinical Trial

BACKGROUND AND OBJECTIVE

Several patients with pre-operative anxiety and insomnia refuse to take sleeping pills because of the side effects of sleeping pills. This study aimed to evaluate the applicability of intranasal dexmedetomidine (DEX) in the treatment of pre-operative anxiety and insomnia.

METHODS

A total of 72 patients with insomnia and anxiety were randomly divided into two groups of intranasal DEX (n = 36) and intranasal normal saline (NS, n = 36). The primary outcomes included patients' time to fall asleep, total sleep time, insomnia severity index (ISI) after treatment, and satisfaction with the treatment effect. The secondary outcomes were mean arterial pressure (MAP), oxygen saturation (SPO₂), heart rate (HR), Narcotrend index (NI) in the first 2 h of treatment, and the incidence of adverse events within 12 h after treatment.

RESULTS

The time to fall asleep (22.08 ± 3.95 min) and total sleep time (400.06 ± 28.84 min) in the DEX group were significantly different from those in the NS group [time to fall asleep, 89.31 ± 54.56 min; total sleep time (295.19 ± 73.51 min; P < 0.001)]. ISI after treatment in the DEX group was lower than that in the NS group (P < 0.001). Satisfaction with the treatment effect was better in the DEX group than that in the NS group (P < 0.001). The general vital signs in the two groups were stable during the treatment. The drowsiness rate in the NS group was higher than that in the DEX group (P < 0.001).

CONCLUSION

Intranasal DEX can significantly improve pre-operative anxiety and insomnia.

CLINICAL TRIAL REGISTRATION

This study was registered on Chinese Clinical Trial Registry (http://www.chictr.org.cn/searchproj.aspx, ChiCTR2100044747).

Investigation of the role of sleep quality and sleep duration on fasting blood glucose level in acute ischemic stroke patients: A preliminary study

The aim of this study was to evaluate the association between the sleep quality and sleep duration with the level of fasting blood glucose in patients with acute ischemic stroke. A cross-sectional study was conducted among acute ischemic stroke patients admitted to Dr. Soetomo Hospital and Universitas Airlangga Hospital from May to October 2021. Patients who met the inclusion were enrolled. To assess the sleep quality, Pittsburgh Sleeps Quality Index (PSQI) was applied. To determine sleep duration during the nocturnal period, Fitbit Charge 2 HR device was used. Evaluation of plausible confounders was assessed through physical examination, interviews, and a set of validated questionnaires. A total of 30 acute ischemic stroke patients were included in this study. The mean age of the participants was 56.40±9.77 years and 60% were males. There were 63.3% patients classified as mild stroke and 36.7% moderate-severe stroke. The average PQSI score was 5.57±2.59, while the average sleep duration was 319.8±108.7 minutes. The average fasting blood glucose level was 89.03±14.71 mg/dL. Significant positive correlation was obtained between sleep duration and fasting blood glucose level (r=0.533; p=0.002). Similarly, there was no statistically significant correlation between sleep quality with the level of fasting blood glucose (r=-0.167; p=0.377). To the best of our knowledge, this is the first study assessing the correlation between sleep quality and sleep duration with the level of fasting blood glucose levels in patients with acute ischemic stroke. This study therefore might be of great interest to provide insights on the importance of sleep management in acute ischemic stroke patients.

Going Silent: Redesigning the Activation Process for In-Hospital Cardiopulmonary Arrests

INTRODUCTION

Reducing environmental noise has become a priority for many health systems. Following a 10-week preparation period, our health system transitioned from an overhead-activated to a silently activated in-hospital code team notification system. The goal of this initiative was to reduce environmental noise and support code team communication and function without adversely affecting response time, provider availability, or key quality metrics.

METHODS

Transitioning from overhead to silently activated events involved a three-step quality improvement approach. Input from key stakeholders and preimplementation education were of key importance. Multiple timed trials and a full in situ simulation were completed before going live with the new process.

RESULTS

Evaluation of 6-month pre- and postimplementation quality metrics showed no significant difference in compliance with defibrillating shockable rhythms within two minutes, event survival, or survival to discharge. Provider survey data and Hospital Consumer Assessment of Healthcare Providers and Systems "quiet at night" scores were not significantly different.

CONCLUSION

By utilizing a multistep implementation approach, transitioning from overhead pages to a silently activated system for in-hospital code team activation was feasible and safe. Abandoning the overhead paging system did not lead to a decrease in key quality metrics nor impair team perception of code function.

Sleep in hospitalized patients with chronic obstructive pulmonary disease: an observational study

STUDY OBJECTIVES

The aim of this study was to compare the risk of undiagnosed sleep disorders among medical patients with chronic obstructive pulmonary disease (COPD) compared with those without COPD.

METHODS

In a prospective cohort study, hospitalized medical ward patients without a known sleep disorder were screened, using validated questionnaires, for sleep disorders, such as obstructive sleep apnea and insomnia. Daily sleep duration and efficiency in the hospital were measured via wrist actigraphy. Participants were classified into two groups: those with a primary or secondary diagnosis of COPD and those without a history of COPD diagnosis. Sleep outcomes were compared by COPD diagnosis.

RESULTS

From March 2010 to July 2015, 572 patients completed questionnaires and underwent wrist actigraphy. On admission, patients with COPD had a greater adjusted risk of obstructive sleep apnea (adjusted odds ratio 1.82, 95% confidence interval 1.12-2.96, P = .015) and clinically significant insomnia (adjusted odds ratio 2.07, 95% confidence interval 1.12-3.83, P = .021); no differences were observed for sleep quality or excess sleepiness on admission. After adjustment, compared with patients without COPD, patients with COPD averaged 34 fewer minutes of nightly sleep (95% confidence interval 4.2-64.0 minutes, P = .026), as well as 22.5% lower odds of normal sleep efficiency while in the hospital (95% confidence interval 3.3%-37.9%, P = .024). No statistically significant differences were observed for in-hospital sleep quality, soundness, or ease of falling asleep.

CONCLUSIONS

Among hospitalized patients in medical wards, those with COPD have higher risk of OSA and insomnia and worse in-hospital sleep quality and quantity compared with those without COPD.

Barriers to sleep in acute hospital settings

OBJECTIVE

This study aimed to examine the environmental and operational factors that disrupt sleep in the acute, non-ICU hospital setting.

DESIGN, SETTING AND PARTICIPANTS

This was a prospective study of adult patients admitted to an acute tertiary hospital ward (shared versus single room) and sleep laboratory (single room conducive to sleep).

MAIN OUTCOME MEASURES

This study measured ambient light (lux) and sound (dB), number of operational interruptions, and questionnaires assessing sleep and mental health.

RESULTS

Sixty patients were enrolled, 20 in a double bedroom located close to the nursing station ('shared ward'), 20 in a single bedroom located distant to the nursing station ('single ward') and 20 attending the sleep laboratory for overnight polysomnography ('sleep laboratory'). Sleep was disturbed in 45% of patients in the shared and single ward groups (Pittsburgh Sleep Quality Index > 5). Light levels were appropriately low across all 3 locations. Sound levels (significant effect of room F(1.38) = 6.452, p = 0.015) and operational interruptions (shared ward 5.6 ± 2.5, single ward 6.2 ± 2.9, sleep laboratory 2.7 ± 2.1 per night, p < 0.05 wards compared to sleep laboratory) were higher in the shared and single ward group compared to the sleep laboratory but not compared to each other. Noise was rated as the greatest environmental disturbance by 70% of ward patients compared to 10% in the sleep laboratory.

CONCLUSION

Higher noise levels and frequent operational interruptions are potential barriers to sleep and recovery on an acute medical ward which are not ameliorated by being in a single bedroom located distant to the nursing station.

The prevalence and impact of pre-existing sleep disorder diagnoses and objective sleep parameters in patients hospitalized for COVID-19

STUDY OBJECTIVES

Obstructive sleep apnea and other sleep disorders overlap with comorbidities associated with poor outcomes related to severe acute respiratory syndrome coronavirus 2 infection. However, the prevalence of obstructive sleep apnea among patients hospitalized for COVID-19 and relationship to outcomes is poorly characterized, and the relevance of other sleep disorders remains unknown. The objective of this study was to identify the prevalence of pre-existing sleep disorders and association with outcomes related to severe COVID-19 illness.

METHODS

Patients with severe acute respiratory syndrome coronavirus 2 infection admitted to the University of Michigan Hospital System were included. Electronic medical records were queried for sleep disorders diagnostic codes. Data were extracted from polysomnography and home sleep testing in a subgroup with previous diagnostic testing at our center. Logistic regression was used to examine the association of sleep disorders with mechanical ventilation requirement, treatment with vasopressors, and death and Cox proportional hazards regression for time to discharge.

RESULTS

Among n = 572 adult patients hospitalized for COVID-19, 113 (19.8%) patients had obstructive sleep apnea, 4 patients had central sleep apnea (0.7%), 5 had hypoventilation (0.9%), 63 had insomnia (11.0%), and 22 had restless legs syndrome or periodic limb movements disorder (3.9%). After adjusting for age, sex, body mass index, and race, no significant relationship was apparent between sleep disorders diagnoses or indices of sleep-disordered breathing severity and outcomes.

CONCLUSIONS

This is the first study to determine the prevalence of obstructive sleep apnea and other sleep disorders in a well-characterized cohort of patients hospitalized for COVID-19. Once hospitalized, a significant contribution of sleep disorders to outcomes was not identified. Therefore, future evaluations should focus on earlier outcomes, such as infection or clinical manifestations after exposure to severe acute respiratory syndrome coronavirus 2.

Short-term physical health effects of sleep disruptions attributed to the acute hospital environment: a systematic review

The sleep disruption experienced by patients admitted to hospital may have a negative effect on health but the nature and magnitude of the effect has not been conclusively outlined. The review was designed to examine the impact of sleep disruption associated with being a hospital inpatient, on short-term physical health outcomes in adult patients. Searches comprised journal databases, gray literature sources, and backward and forward citation searching. Two reviewers independently screened the records. Original studies of adult hospitalized patients' sleep were included if physical outcomes were also measured. Interventional studies were excluded. The methodological quality was assessed independently by 2 reviewers using CASP checklists. Sleep assessment measures and results, physical outcomes and contextual data were extracted. Results were synthesized according to frequently reported outcomes: delirium, pain intensity, physical strength, and respiratory function. A meta-analysis was not performed; studies were heterogeneous and reporting was limited. Of 9919 retrieved records, 26 published studies were included (published: 2001-2020). Risk of bias was moderately high. Confounding factors were poorly reported. Total sleep time was either normal or reduced. Sleep was disrupted: arousal indices were high (mean: 0 5-21/h); slow wave sleep proportions were limited. Subjective sleep quality was poor. The association between sleep reduction or disruption and short-term health outcomes was negative, mixed or equivocal and included increased delirium, higher pain intensity, poorer strength, and adverse respiratory function. The impact of sleep disruption on outcomes for hospitalized patients is not well defined.

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.

A single one-minute, comfortable paced, stair-climbing bout reduces postprandial glucose following a mixed meal

BACKGROUND AND AIMS

Postprandial blood glucose (PBG) is an independent predictor of disease and mortality risk. To date, the shortest, single, moderate-intensity exercise intervention to reduce PBG is a 1 min bout of stair stepping during an oral glucose tolerance test. Whether this effect translates to real meal consumption is unknown.

METHODS AND RESULTS

Subjects (N = 30) participated in a randomized controlled crossover trial performing 0 min (seated control), 1 min, 3 min or 10 min of stair climbing and descending bouts (SCD) at a self-selected pace after consumption of a mixed meal on four separate visits. Compared to control, all SCD reduced PBG at least one timepoint: at 30-min the 3 min (-10.8 (-18.7 to -2.8) mg/dL, p = 0.010) and 10 min (-36.3 (-46.4 to -26.3) mg/dL), p < .001), and at 45-min the 1 min (-7.3 (-13.9 to -0.7) mg/dL, p = 0.030, 3 min (-8.7 (-13.9 to -3.6) mg/dL, p = 0.002 and 10 min SCD (-12.2 (-18.2 to -6.1)mg/dL, p < 0.000) reduced PBG. The area under the curve (AUC) for PBG was lower following the 3 min (-4.4% (-7.5 to -1.4%), p = 0.006) and 10 min (-8.9% (-12.4 to -5.3%), p < 0.001), while the incremental AUC (iAUC) was reduced only following the 10 min (-38.0% (-63.7 to -12.3%), p = 0.005) SCD. All SCD were rated by subjects as very light to light intensity.

CONCLUSIONS

Single, subjectively "light" intensity stair climbing and descending bouts as short as 1 min in duration attenuate the postprandial glucose response in normal weight individuals following consumption of a mixed meal. More pronounced effects require longer bouts in a dose-dependent manner.

Objectively measured sleep fragmentation is associated with incident delirium in older hospitalized patients: Analysis of data collected from an randomized controlled trial

Delirium may lead to poor outcomes in hospitalized older adults, and sleep deprivation may contribute to its pathogenesis. Thus, we sought to measure sleep duration and fragmentation using wrist-worn actigraphy in older, hospitalized patients with and without delirium, and to determine if actigraphy-based parameters could be used to predict delirium prior to clinical recognition. We conducted a secondary analysis of data from a recent, randomized clinical trial aimed at preventing inpatient delirium. Participants (n = 70) were aged ≥ 65 years admitted to an internal medicine service. Delirium was defined by the Confusion Assessment Method, or altered mental status identified by a clinician. Sleep measurements were actigraphy-based, and included total sleep time, median sleep bout duration and other measures of sleep fragmentation. We found that total sleep duration was similar between patients with (n = 17) and without (n = 53) delirium (mean 384.9 ± SD 162.7 versus mean 456.6 ± SD 135.8 min; p = .081). Mean sleep bout times were shorter in delirious versus never-delirious patients (median 6.1 [interquartile range 4.3-8.9] versus 7.9 [interquartile range 5.7-11.3] min, p = .048). Patients with delirium had more short sleep bouts (< 10 min) and fewer longer sleep bouts (> 30 min) compared with those without delirium. Increased sleep fragmentation was present prior to the clinical recognition of delirium. Overall, delirium was associated with increased sleep fragmentation detected by actigraphy, and sleep fragmentation might be useful as a biomarker for delirium prediction in the future.

Improving Hospitalized Children's Sleep by Reducing Excessive Overnight Blood Pressure Monitoring

BACKGROUND

Although required for healing, sleep is often disrupted during hospitalization. Blood pressure (BP) monitoring can be especially disruptive for pediatric inpatients and has few clinical indications. Our aim in this pilot study was to reduce unnecessary overnight BP monitoring and improve sleep for pediatric inpatients.

METHODS

The intervention in June 2018 involved clinician education sessions and updated electronic health record (EHR) orders that enabled the forgoing of overnight BP checks. The postintervention period from July 2018 to May 2019 examined patient-caregiver surveys as outcome measures. These surveys measured inpatient sleep and overnight disruptions and were adopted from validated surveys: the Patient Sleep Questionnaire, expanded Brief Infant Sleep Questionnaire, and Potential Hospital Sleep Disruptions and Noises Questionnaire. Uptake of new sleep-friendly EHR orders was a process measure. Reported patient care escalations served as a balancing measure.

RESULTS

Interrupted time series analysis of EHR orders (n_pre = 493; n_post = 1472) showed an increase in intercept for the proportion of patients forgoing overnight BP postintervention (+50.7%; 95% confidence interval 41.2% to 60.3%; P < .001) and a subsequent decrease in slope each week (-0.16%; 95% confidence interval -0.32% to -0.01%; P = .037). Statistical process control of surveys (n_pre = 263; n_post = 131) showed a significant increase in sleep duration for patients older than 2, and nighttime disruptions by clinicians decreased by 19% (P < .001). Annual estimated cost savings were $15 842.01. No major adverse events in patients forgoing BP were reported.

CONCLUSIONS

A pilot study combining EHR changes and clinician education safely decreased overnight BP checks, increased pediatric inpatient sleep duration, and reduced nighttime disruptions by clinicians.

Melatonin Increasingly Used in Hospitalized Patients

The frequency of melatonin use for insomnia in hospitalized patients is unknown. This study assessed temporal trends of melatonin use in the hospital and compared them with those of use of zopiclone and lorazepam. We performed a retrospective observational study over 6 years from January 2013 to December 2018 at two academic urban hospitals in Toronto, Canada. We abstracted pharmacy dispensing data and standardized rates of medication use by inpatient days. Melatonin use increased from almost none to more than 70 doses per 1,000 inpatient days during 2013-2018, while zopiclone use decreased by 20 doses per 1,000 inpatient days. Melatonin use was twice as high at one hospital and was higher on internal medicine and critical care. Overall use of the three medications increased by 25.7%, which mainly reflects a marked increase in melatonin use. Melatonin is likely being used in a proportion of patients who would not otherwise have received a sleep medication.

Relationship between subjective sleep disturbances and glycaemia in Chinese adults with type 2 diabetes: findings from a 1.5-year follow-up study

We wanted to determine whether subjective sleep disturbance was associated with serum glycated hemoglobin (HbA1c) in people with type 2 diabetes mellitus. In total, 944 randomly-selected people with diabetes completed the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). Participants' glycaemia was assessed using HbA1c in March 2016 and September 2017. The PSQI score and the change in score(△PSQI), and the HbA1c and its change (△HbAlc) were analysed by sex and age (30-45, 46-60, 61-75, and 76-89 years). Associations between time point PSQI and △PSQI with static HbA1c and △HbA1c were analysed using multiple linear regression. The results showed subjective sleep disturbance among people with diabetes was not correlated with serum HbAlc (β coefficient = 0.032, P = 0.103). However, cross-sectional multiple linear regression showed the relationship was present in women (β coefficient = 0.163, P < 0.01). In multiple linear regression, △PSQI score was correlated with △HbAlc value (β coefficient = 0.142, P < 0.01). The regression coefficient (β) for the relationship between △PSQI score and △HbA1c in men was greater than that in women, and for age was β_61-75years < β_46-60years < β_30-45years. The strongest relationship between △PSQI and △HbA1c was in men aged 30-45 years (β = 0.452, P < 0.01). Subjective sleep disturbance among people with diabetes was not related to glycaemic status in the whole sample, but there was a correlation in women. The change in subjective sleep disturbance correlated with the change in glycaemia, most strongly in younger participants, especially men aged 30-45 years.

Sleep in Hospitalized Patients

Hospitalized patients frequently have disordered and poor-quality sleep due to a variety of both intrinsic and extrinsic factors. These include frequent nighttime intrusions, insomnia related to pain and unfamiliar environments, dark conditions during the day with loss of natural light, and disruption of the natural sleep cycle due to illness. Sleep wake disturbances can result in a deleterious consequence on physical, emotional, and cognitive status, which may impact patient satisfaction, clinical recovery, and hospital length of stay. Despite this, clinicians frequently fail to document sleep disturbances and are generally unaware of the best practices to improve sleep quality in the hospital. A PubMed search was conducted using the terms: ("sleep and hospitalized patients") and ("sleep and hospitalization") to review the published data on the topic of sleep in hospitalized medical patients. The search was limited to English-language articles published between 2000 and 2018. Subsequent PubMed searches were performed to clarify the data described in the initial search, including the terms "hospital sleep protocols," "hospitalized patients sleep documentation," and "hospitalized patients sleep quality". The purpose of this review is to discuss sleep disturbances in hospitalized patients with a focus on causes of sleep disturbance, the effect of poor-quality sleep, high risk populations, considerations for surveillance and prevention, and pharmacologic and non-pharmacologic options for treatment.

Hip Arthroscopy for Femoroacetabular Impingement Improves Sleep Quality Postoperatively

PURPOSE

To describe the prevalence of abnormal sleep quality in patients with femoroacetabular impingement syndrome and to determine whether arthroscopic hip preservation surgery with cam/pincer correction, labral preservation, and capsular plication can improve sleep quality postoperatively.

METHODS

All patients undergoing primary hip arthroscopy for cam/pincer correction who failed nonoperative management between March 1, 2017, and July 1, 2017, were administered a validated sleep quality questionnaire-the Pittsburgh Sleep Quality Index (PSQI)-preoperatively and at 3, 6, 12, and 24 weeks postoperatively. Exclusion criteria included patients undergoing revision arthroscopy, gluteus medius repair, or a contralateral procedure during the follow-up period and those with known sleep disorders. A global (total) PSQI score >5 indicates poor sleep quality. The Hip Outcome Score-Activities of Daily Living, Hip Outcome Score-Sports Specific Subscale, modified Harris Hip Score, and International Hip Outcome Tool-12 were used to assess functional outcomes. A repeated measures analysis of variance with post hoc Greenhouse-Geisser and Bonferroni corrections was conducted to determine statistically significant changes in sleep patterns.

RESULTS

A total of 52 patients (94.6%) were included in the final analysis. The mean (± standard error) patient age was 37.8 ± 1.9 years, and body mass index was 27.6 ± 0.7. Preoperatively, 49 (94.2%) of patients experienced poor sleep quality, defined as a global PSQI score >5, with a mean PSQI score of 9.8 ± 0.6. At 24 weeks postoperatively, 10 (21.7%) of patients experienced poor sleep quality with a mean PSQI score of 2.2 ± 0.2. All patients had significant improvements in all hip outcome instruments at 24 weeks postoperatively (P < .001).

CONCLUSIONS

Preoperatively, patients with femoroacetabular impingement syndrome have a high prevalence of sleep disturbance. These patients experience subsequent improvement in sleep disturbance after arthroscopic hip surgery early in the postoperative period.

LEVEL OF EVIDENCE

Level IV, case series.

Caregiver and Staff Perceptions of Disruptions to Pediatric Inpatient Sleep

STUDY OBJECTIVES

Sleep is critical to a child's health and well-being, but children are likely to sleep less and be awakened more often during the night in the hospital than at home. To date no studies have compared caregiver, nurse, and physician perspectives of nighttime sleep disruptions in the pediatric general medicine setting. Our aim was to assess caregiver, nurse, and physician perspectives on the most frequent in-hospital disruptors of sleep for pediatric patients. Additionally, we evaluated the degree of agreement of those opinions between the caregivers and medical team.

METHODS

Caregivers, nurses, and physicians were surveyed using the Potential Hospital Sleep Disruption and Noises Questionnaire (PHSDNQ) regarding their opinions on factors that disrupt sleep. Caregiver responses were collected via a convenience sample of patients hospitalized from February to August 2017 and hospital staff was surveyed once regarding overall perception. The perceived percentage of patients disrupted by each factor was calculated and compared among groups using chi-square tests. Using caregiver rank order based on mean response as the reference gold standard, the absolute differences of nurse and physician rank orders were summed and analyzed using a two-sample test of proportion. In addition, staff was asked knowledge and empowerment questions about how to maximize patient sleep in the hospital and responses were compared using chi-square tests.

RESULTS

A total of 162 caregivers, 77 nurses (84% response rate), and 81 physicians (90% response rate) completed surveys. Checking vital signs (50%), nurse/physician interruption (49%), and continuous pulse oximetry (38%) were the three most prevalent disruptors of pediatric inpatient sleep as reported by caregivers. Significant differences were observed between caregiver, nurse, and physician responses for pain, anxiety, alarms, noise, and tests (P ≤ .001 for all). Both nurse and physician rank orders were discordant when compared to caregivers; there was no significant difference between the two staff groups. When compared to physicians, nurses reported doing more to help children sleep in the hospital (33% versus 94%, P < .001).

CONCLUSIONS

Although caregivers report medical interventions such as checking vital signs, nurse/physician interruption, and continuous pulse oximetry as the most frequent disruptors of inpatient pediatric sleep, pediatric staff has poor insight into these disruptions.

The Glymphatic System in Diabetes-Induced Dementia

The glymphatic system has emerged as an important player in central nervous system (CNS) diseases, by regulating the vasculature impairment, effectively controlling the clearance of toxic peptides, modulating activity of astrocytes, and being involved in the circulation of neurotransmitters in the brain. Recently, several studies have indicated decreased activity of the glymphatic pathway under diabetes conditions such as in insulin resistance and hyperglycemia. Furthermore, diabetes leads to the disruption of the blood-brain barrier and decrease of apolipoprotein E (APOE) expression and the secretion of norepinephrine in the brain, involving the impairment of the glymphatic pathway and ultimately resulting in cognitive decline. Considering the increased prevalence of diabetes-induced dementia worldwide, the relationship between the glymphatic pathway and diabetes-induced dementia should be investigated and the mechanisms underlying their relationship should be discussed to promote the development of an effective therapeutic approach in the near future. Here, we have reviewed recent evidence for the relationship between glymphatic pathway dysfunction and diabetes. We highlight that the enhancement of the glymphatic system function during sleep may be beneficial to the attenuation of neuropathology in diabetes-induced dementia. Moreover, we suggest that improving glymphatic system activity may be a potential therapeutic strategy for the prevention of diabetes-induced dementia.

New onset of insomnia in hospitalized patients in general medical wards: incidence, causes, and resolution rate

Background: Insomnia is common in hospitalized patients. However, no study has examined new onset of insomnia in patients without a prior history of insomnia.

Objectives: Incidence of new onset of insomnia in inpatients, associated factors and resolution rate after 2 weeks.

Method: This is a prospective observational study conducted at a community hospital. We used the Insomnia Severity Index questionnaire to screen for insomnia in all patients located in the general medical floors from day 3 to day 5 of their hospital stay. We excluded patients with a prior insomnia history.

Results: Out of the 205 patients who met the inclusion criteria, 75 patients (36%) reported insomnia. Severe insomnia was present in 3% of patients. Difficulty in maintaining sleep is the most common symptom. Frequent staff disruptions due to blood draws and vital signs checks were reported by 68% as the cause of insomnia, followed by illness associated causes (64%) and sleep disruption due to noise and or brightness (23%). Patients with insomnia had more awakenings due to noise, brightness, and staff interruptions than those without insomnia (1.35 times vs. 0.9 times, p = 0.027). Patients with respiratory symptoms, cardiac monitoring, oxygen use, private rooms, and no sedative use did not have a higher insomnia risk. Patients with insomnia had significant lower satisfaction scores than patients without insomnia (4.53 vs. 4.05, p = 0.001) but did not have a different length of stay (6.18 vs. 6.19, p = 0.97). In 31% of patients with insomnia who were able to be contacted two weeks after discharge, 75% of them had insomnia resolution.

Conclusion: New onset of insomnia occurred in 36% of hospitalized patients. Most common causes are staff disruption and disease symptoms. It was usually short-term and could decrease patients’ satisfaction score.