Sleep quality in relation to social support and resilience among rural empty-nest older adults in China

BackgroundPopulation ageing is a global problem, and one of the adverse effects in China is the rural empty-nest phenomenon, which is increasingly prominent. Recently, the sleep problems of rural empty nesters have gradually aroused attention. The purpose of this article was to investigate sleep quality and its influencing factors in rural empty nesters and explore the correlation between social support, resilience and sleep quality in the target population.MethodsThis study investigated 250 empty nesters in six rural areas. Information on sociodemographics, sleep quality, social support and resilience was collected. Univariate analysis and multivariate analysis were used to determine the influencing factors of sleep quality. The Spearman correlation coefficient was used to evaluate the linear associations between social support, resilience and sleep quality. The mediating effect of resilience between social support and sleep quality was measured by bootstrap-mediated analysis.ResultsThe sleep quality score among rural empty nesters was 6.74 ± 3.80. Sleep quality was influenced significantly by marital status, monthly income, number of chronic diseases and frequency of communication with children. Besides, social support and resilience were significantly positively correlated with sleep quality. Resilience was not the only mediating variable between social support and sleep quality.ConclusionThe sleep quality of rural empty nesters was poorer than those of the general rural older adults and affected by multiple factors. Moreover, social support and resilience had a positive impact on the sleep quality of rural empty nesters, which provided new ideas for exploring specific measures to improve their sleep quality in the future.     

Later bedtime is associated with angina pectoris in middle-aged and older adults: results from the Sleep Heart Health Study

ObjectivesSleep timing is related to several risk factors for angina pectoris (AP), such as obesity and diabetes. This study was designed to evaluate the relationship between sleep timing and AP, specifically whether later bedtime was associated with AP in middle-aged and older adults.MethodsThis community-based study was based on the Sleep Heart Health Study cohort and included 4710 participants (45.9% men, aged 63.3 ± 11.0 years). Lifestyle and epidemiological information were obtained from baseline records. Self-reported sleep measures provided information on bedtime and wake-up time of weekdays and weekends. Individuals were divided into three categories according to bedtime (≤22:00, 22:01–23:00, and >23:00). Odds ratios (OR) and 95% confidence intervals (CIs) of AP for bedtimes were estimated with multivariate logistic regression analysis.ResultsThe prevalence of AP was 44.2% and the distribution of weekday bedtimes ≤22:00, 22:01–23:00_, and >23:00 were 36.6%, 47.5% and 46.0%, respectively. After adjusting for potential confounders, weekday bedtimes >23:00 (OR 1.34; 95% CI 1.13–1.60; P = 0.001) and 22:01–23:00 (OR 1.54; 95% CI 1.29–1.82; P < 0.001) were significantly associated with an increased risk of AP compared with the reference group (≤22:00). In addition, weekend bedtimes >23:00 (OR 1.44; 95% CI 1.20–1.73; P < 0.001) and 22:01–23:00 (OR 1.70; 95% CI 1.40–2.05; P < 0.001) increased the risk of AP.ConclusionsLater bedtimes on both weekdays and weekends were significantly associated with an increased prevalence of AP. Early bedtimes may help people decrease the risk of AP.     

School closure during the coronavirus disease 2019 (COVID-19) pandemic – Impact on children's sleep

ObjectiveTo evaluate the sleep habits of school-going children before and during school closure in the national lockdown period (called ‘Circuit Breaker’ or CB in Singapore) due to the COVID-19 pandemic.MethodsCross-sectional, anonymous, online, population-based survey questionnaire was administered to parents aged 21 years and above with children aged between 3 and 16 years attending pre-school, primary or secondary school (equivalent to kindergarten, middle and-high school) and residing in Singapore. Sleep duration in relation to various daily activities including academic activities, physical exercise, and screen time was evaluated pre-CB and during CB.ResultsData from 593 participants were analyzed. Pre-CB, the overall mean (SD) sleep duration of the study population was 9.01 (1.18) hours on weekdays and 9.99 (0.94) hours on weekends. During CB, mean (SD) sleep duration overall was 9.63 (1.18) hours. Although children generally went to bed later (mean 0.65 h later), they woke up even later during CB (mean 1.27 h later), resulting in longer sleep duration (mean increase of 0.35 h). This was most evident in secondary school children (mean increase of 0.70 h). Children attending private schools (which had later start times) had increased sleep duration (mean 10.01 (SD 0.89) hours pre-CB and 10.05 (SD 0.93) hours during CB) compared to public schools (mean 9.05 (SD 0.91) pre-CB and 9.49 (SD 1.22) hours during CB).ConclusionsSchool closure from the COVID-19 pandemic resulted in longer sleep duration in school-going children. Early school/academic activity start times had a significant impact on limiting children's sleep duration.     

Sleep problems in Australian children with Down syndrome: the need for greater awareness

BackgroundChildren with Down Syndrome (DS) have a high prevalence of obstructive sleep apnoea (OSA). Non-respiratory sleep disorders also occur commonly but are less well recognised. This cross-sectional study evaluates the prevalence of sleep difficulties in a community sample of Australian children with DS (DS_comm), using the Children's Sleep Habits Questionnaire (CSHQ), and compares them to children referred to the sleep clinic (DS_ref). To our knowledge this is the first study to have reported prevalence of sleep problems in Australian children with DS and to compare a community and referred group of children with DS directly.MethodsThe CSHQ was completed by parents of children with DS recruited from the community (DS_comm) via survey distributed by Down syndrome Queensland and Australia. A second group was recruited through the tertiary sleep clinic at our institution (DS_ref) and completed the same questionnaire on enrolment. Data from these groups was compared.ResultsThere were 76 participants in the DS_comm group (57% male; median age 9.7yrs) and 42 participants in the DS_ref group (50% male; median age 6.97yrs). The overall prevalence of sleep disturbances was 90.9% in the DS_comm group, and 85.7% in the DS_ref group (p = 0.54). There was a statistically significant difference in the mean total CSHQ score, with the DS_comm having the higher score (p = 0.023).ConclusionsThis study reports a high prevalence of sleep problems in both a community and referred group of Australian children with DS and suggests that there are many children with DS with sleep problems, particularly non-respiratory difficulties, who are potentially not receiving adequate treatment.     

The prevalence of sleep problems among children in mainland China: a meta-analysis and systemic-analysis

BackgroundWe conducted a meta-analysis and systematic review to identify a reliable estimate of sleep problems prevalence among children in mainland China and to describe its epidemiological characteristics.MethodsRelevant studies were searched thoroughly via electronic databases included China National Knowledge Infrastructure, Wanfang, Weipu, PubMed, Embase and Medline databases from inception until December 2020. Prevalence estimates were calculated by random-effects models. The sources of heterogeneity were explored using subgroup analyses and Meta-regression analysis, and publication bias was estimated by funnel plots and Egger's Test.ResultsOverall, 66 studies were included in this meta-analysis, which revealed that the pooled prevalence of sleep problems was 37.6% (95%CI: 34.3–40.9%) with high heterogeneity (I² = 99.6%,P < 0.001). The incidence of snoring was 7.7%, choking or gasping was 0.9%, apnea was 1.5%, restless sleep was 11.3%, mouth breathing was 4.7%, hyperhidrosis was 17.2%, leg movements was 2.7%, bruxism was 9.6%, sleep talking was 0.7%, sleep-walking was 0.8%, nightmare was 5.1%, enuresis was 3.4%, night awakening was 6.7% and trouble falling asleep was 11.1%. The prevalence rate of sleep problems among males was higher than females (OR:1.01,95%CI:1.05–1.13). In all age groups, the prevalence rates of sleep problems increased with age, including infancy or early childhood group (33.3%), pre-school group (38.9%), school-age group (43.7%). The prevalence rate in South China (30.4%, 95%CI: 23.9–36.8%) was the lowest, and the highest prevalence rate was in West China (47.4%,95%CI:35.9–58.9%), which than any other region in China. The point estimate for sleep disorders prevalence obtained using the CSHQ criterion was higher than other criteria. Meta-regression indicated that age group could influence prevalence estimation (P = 0.011).ConclusionsOver the past two decades, the prevalence rate of sleep problems among children in mainland China has increased, significantly affecting two-fifth of the school-age children. The incidence of hyperhidrosis, restless sleep and trouble falling asleep were significantly higher than other sleep prombles. The prevalence rate of sleep problems in west China was significantly higher than in any other area. There is still a lack of guidelines on children's sleep problems in mainland China, so future research should pay special attention to the sleep problems of school-age children and children in economically backward areas.     

Sleep quality and gestational diabetes in pregnant women: a systematic review and meta-analysis

Poor sleep quality is very common among pregnant women. Gestational diabetes mellitus (GDM) has been related to various adverse maternal and neonatal outcomes. The aim of this systematic review was to examine the association between poor sleep quality and gestational diabetes risk. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic search was conducted in five electronic databases from inception to February 2019. Studies that examined the relationship between sleep quality and glucose in pregnant women were screened for eligibility. Pooled odds ratio (OR) with 95% confidence interval (CI) was calculated from aggregate data using a fixed-effect model. Thirteen non-experimental studies (n = 21,194 women) were eligible for inclusion. Poor sleep quality was measured using subjective questionnaires in nine studies and objective methods (actigraphy or polysomnography) in four studies. GDM was typically diagnosed following standard guidelines. Eight studies were included in the meta-analysis for GDM. Overall, self-reported poor sleep quality was a significant risk factor for GDM (pooled OR = 1.43, 95%CI: 1.16,1.77, p = 0.001). Three studies examined the association between objective sleep quality and GDM, but no significant relationship was observed. Subjective poor sleep quality was related to an increased risk for GDM, while objectively measured sleep quality was not. This review was limited by the assessment of sleep quality. Future larger studies are warranted to examine the effects of sleep quality on glucose metabolism in pregnancy. Ideally, these studies should measure sleep quality using both validated questionnaires and objective methods. These will provide further directions for improving sleep during pregnancy and exploring its effects on glucose metabolism.     

Sleep medication use and incident dementia in a nationally representative sample of older adults in the US

BackgroundSleep difficulties are common among older adults, and clinical management of sleep difficulties commonly includes sleep medication (pharmacological and non-pharmacological). Our research examines sleep medication use and incident dementia over 8 years using nationally representative data from older adults ages 65 years and older in the United States.MethodsWe used data collected from the National Health and Aging Trends Study (NHATS), a nationally-representative longitudinal study of Medicare beneficiaries. Routine sleep medication use (pharmacological and non-pharmacological) was defined as use “most nights” or “every night.” Participants were screened for dementia with validated instruments that assessed memory, orientation, and executive function. We conduct prospective analyses to examine the relationship between routine sleep medication use and incident dementia using Cox proportional hazards modeling and estimated survival curves. Analyses controlled for age, sex, marital status, education, and chronic conditions.ResultsAmong respondents at baseline (n = 6373), most participants (21%) were age 70–74 years of age. Participants were 59% female and the sample comprised non-Hispanic White (71%). At baseline, 15% of our study sample reported using sleep medication routinely, which is representative of 4.6 million older adults in the US. Covariate adjusted proportional hazard models revealed that routinely using sleep medication was associated with incident dementia (HR = 1.30, 95%CI: 1.10 to 1.53, p < 0.01).ConclusionsOur study observed, in a nationally representative study of older adults in the US across 8 years of data that 15% of older adults report routinely using sleep medication, yet routine use of sleeping medication was associated with incident dementia across the follow-up interval. Future research may examine behavioral approaches to improving sleep among older adults.     

The mucormycosis and stroke: The learning curve during the second COVID-19 pandemic

BackgroundThe Angio-invasive Rhino-orbito-cerebral mucormycosis (ROCM) producing strokes is a less explored entity. Our hospital, a stroke-ready one, had an opportunity to manage mucormycosis when it was identified as the nodal center for mucormycosis management. We are sharing our experiences and mistakes in managing the cerebrovascular manifestations of ROCM.MethodsWe conducted a prospective observational study during the second wave of the COVID-19 pandemic from 1st May 2021 to 30th September 2021, where consecutive patients aged more than 18 years with microbiologically confirmed cases of ROCM were included. Clinical details (timing of stroke onset after ROCM symptoms, GCS, NIHSS), imaging findings (ASPECTS, the territory of stroke, the pattern of infarct, hemorrhagic transformation, cavernous sinus thrombosis), angiogram findings, management details (IV thrombolysis), and outcomes (mRS at discharge and duration of hospital stay) were documented. We also compared the demographics, clinical features (NIHSS), radiological findings, treatment details, duration of hospital stay, and functional outcome at the discharge of the ROCM stroke patients with stroke patients without ROCM.ResultsStroke developed in 42% of patients with ROCM, predominantly anterior circulation border zone ischemic infarcts. Strokes occurred after a median of five days from the onset of ROCM symptoms. The most common vessel involved was the ophthalmic artery, followed by the cavernous ICA. We could not thrombolyse ROCM stroke patients. ROCM patients who developed stroke compared with patients without stroke had a more infiltrative fungal infection and higher inflammatory markers. Mucormycosis associated stroke patients had higher in-hospital mortality and poor functional outcomes.TConclusionDue to delayed recognition of stroke symptoms, none received reperfusion strategies, leading to poor functional outcomes. For early stroke detection, ROCM cases need frequent monitoring and education of patients and their relatives about the ALS acronym (loss of ambulation, limb weakness, and loss of speech).     

The effectiveness of diaphragmatic breathing relaxation training for improving sleep quality among nursing staff during the COVID-19 outbreak: a before and after study

ObjectivesRecent studies have demonstrated that first-line nurses involved in the coronavirus disease-2019 (COVID-19) crisis may experience sleep disturbances. As breathing relaxation techniques can improve sleep quality, anxiety, and depression, the current study aimed to evaluate the effectiveness of diaphragmatic breathing relaxation training (DBRT) for improving sleep quality among nurses in Wuhan, China during the COVID-19 outbreak.MethodsThis study used a quasi-experimental (before and after) intervention strategy, with 151 first-line nurses from four wards in Leishenshan hospital. The Pittsburgh Sleep Quality Index (PSQI), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS) to evaluate the effectiveness of DBRT before and after the intervention. Data were examined using the Shapiro–Wilk test, Levene's test, and paired t-test.ResultsA total of 140 nurses completed the DBRT sessions. First-line nurses achieved significant reductions in global sleep quality (p < 0.01), subjective sleep quality (p < 0.001), sleep latency (p < 0.01), sleep duration (p < 0.001), sleep disturbances (p < 0.001), habitual sleep efficiency (p = 0.015), daytime dysfunction (p = 0.001), and anxiety (p = 0.001). There were no significant reductions in the use of sleeping medication (p = 0.134) and depression (p = 0.359).ConclusionDBRT is a useful non-pharmacological treatment for improving sleep quality and reducing anxiety among first-line nurses involved in the COVID-19 outbreak.The study protocol was clinically registered by the Chinese Clinical Trial Registry. Clinical Trial Registration number: ChiCTR2000032743.     

Validation of the Japanese version of Stress and Anxiety to Viral Epidemics-9 (SAVE-9) and relationship among stress,insomnia, anxiety,and depression in healthcare workers exposed to coronavirus disease 2019

ObjectiveThis study aimed to validate the Japanese version of the 9-item Stress and Anxiety to Viral Epidemics scale (SAVE-9) and the relationships among the stress related to viral epidemics, insomnia, anxiety, and depression.Patients/methodsA cross-sectional questionnaire-based study was conducted online. In total, 1000 healthcare workers (579 men, 421 women; mean age: 43.11 ± 11.69 years) were asked to complete the SAVE-9, Athens Insomnia Scale, Generalized Anxiety Disorder-7 Scale, and Center for Epidemiological Studies Depression Scale. For the analysis, participants were divided into two groups: healthcare workers at a medical institution designated for COVID-19 (COVID institution) and those working at an institution not designated for COVID-19 (non-COVID institution).ResultsItem response theory analysis showed that the SAVE-9 and SAVE-6 (6-item version) had good structural validity and internal consistency (ω = 0.91 and 0.93). Correlation analysis for convergent validity showed a significant positive correlation between both the SAVE-9 and SAVE-6 and the other scales for insomnia, anxiety, and depression. In addition, both SAVE-9 and SAVE-6 scores were higher for workers in COVID institutions than for those in non-COVID institutions. Furthermore, stress related to viral epidemics was found to directly affect anxiety (β = 0.48) and depression (β = 0.25) and indirectly affect anxiety (β = 0.37) and depression (β = 0.54) via insomnia (β = 0.33).ConclusionsThis study confirmed that the reliability and validity of both the SAVE-9 and SAVE-6 and that insomnia mediated the effects of stress to viral epidemics on anxiety and depression symptoms.     

Association between eveningness preference,socio-behavioral factors,and insomnia symptoms in Korean adolescents

Objective/BackgroundStudies focusing on insomnia in adolescents are relatively scarce compared to those on excessive daytime sleepiness. We aimed to investigate the prevalence of insomnia symptoms and associated factors in Korean high school students.Patients/methodsA total of 8565 students (girls: 4104) were investigated nationwide, across 15 South Korean districts using an online self-report questionnaire. Insomnia symptoms were evaluated using the Global Sleep Assessment Questionnaire. The participants’ mean age was 16.77 ± 0.85 years.ResultsThe prevalence of insomnia symptoms was 39.43% (n = 3377). Logistic regression was used to estimate the odds ratio (OR) of insomnia symptoms associated with sleep characteristics and social behaviors after adjusting for the relevant covariates. Evening preference (OR, 2.51, 95% CI, 2.20–2.86), perception of insufficient sleep (OR, 3.55, 95% CI, 3.11–4.06), snoring usually/always (OR, 1.25; 95% CI, 1.00–1.55), witnessed sleep apnea usually/always (OR, 1.70; 95% CI, 1.17–2.46), increased internet addiction (OR, 1.02; 95% CI, 1.02–1.03), bad sleep environment (OR, 1.77; 95% CI, 1.50–2.10), ≥3 private extra classes (OR, 1.23; 95% CI, 1.01–1.49), often coffee consumption (OR, 1.31; 95% CI, 1.10–1.56), and often nocturnal eating (OR, 1.24; 95% CI, 1.06–1.45) were associated with insomnia symptoms. Evening preference (OR, 3.48; 95% CI, 2.52–4.82) was also associated with insomnia symptoms in the perceived sufficient sleep subgroup.ConclusionInsomnia symptoms were common in Korean high school students. Evening preference was the major factor associated with insomnia symptoms. Various socio-behavioral factors were also associated with insomnia symptoms.     

Sleep positions in children with Down syndrome and obstructive sleep apnea

ObjectivesTo assess sleep positions in children with both Down syndrome (DS) and obstructive sleep apnea (OSA) and determine if there is a preferred sleep position by severity of apnea.MethodsA single-center retrospective review of patients with both DS and OSA was performed. Caregivers reported sleep position utilized greater than 50% of observed sleep time. Accuracy of this report was confirmed through review of hypnograms from polysomnography studies.ResultsEighty-two patients met inclusion criteria. Median body mass index (BMI) was 26.6 and 56% of patients had a prior tonsillectomy and/or adenoidectomy. The mean obstructive AHI (OAHI) was 25.33 with 90.4% having severe OSA, 9.6% having moderate OSA, and no patients having mild OSA. Reported sleep positions were skewed towards lateral/decubitus (82.9%) compared to prone (11.0%) and supine (6.1%). This was consistent with hypnogram data where 71% of total sleep time in lateral/decubitus positions compared to prone (13%) and supine (6%). The median changes in sleep position per patient was 5 (IQR: 3–6). Lower BMI (p < 0.001, 95% CI: 0.32–1.13) and tonsillectomy (p < 0.001, 95% CI: 7.7–18.19) were associated with lower OAHI. Sleep position was not associated with age (p = 0.19), sex (p = 0.66), race (p = 0.10), ethnicity (p = 0.68) nor history of tonsillectomy (p = 0.34). Preferred sleep position was not correlated with OAHI (p = 0.78, r = 0.03) or OSA severity (p = 0.72, r = 0.03).ConclusionsThis study highlights the possibility that children with DS may have preferential sleep positions that cater to optimized airflow in the context of OSA although further prospective study is needed.     

Sleep time and sleep-related symptoms across two generations – results of the community-based RHINE and RHINESSA studies

Study objectivesTo analyze the association between sleep-related symptoms and sleep length in parents and their children in relation to other risk factors in both generations.MethodThe participants were parents (n = 5,855, age 54.3 ± 6.5 years, 45.2% men) who participated in the community-based Respiratory Health in Northern Europe (RHINE) study and one random member of their adult offspring (n = 5,855, age 30.2 ± 7.7 years, 41.5% men) who participated in the Respiratory Health in Northern Europe, Spain and Australia (RHINESSA) study. Both generations responded to identical questionnaires on sleep symptoms, including difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS), early morning awakening (EMA), snoring, nocturnal sweating, nocturnal gastroesophageal reflux (nGER), sleep time and excessive daytime sleepiness (EDS). Insomnia was defined as either, or both, DIS and DMS in combination with EDS.ResultsAll sleep variables except nocturnal sweating were more common in offspring whose parents had reported the same symptom. After adjusting for age, gender, BMI, smoking, physical activity, education, center and parents' total number of children, there were independent associations between sleep symptoms in parents and offspring for DIS (adj. OR, 95% CI: 1.52, 1.20–1.93), DMS (1.34, 1.15–1.56), snoring (1.45, 1.15,1.83), nGER (1.65, 1.15–2.37), insomnia (1.39, 1.13–1.73), short sleep time (<6 h/night) (2.51, 1.72–3.68) and EDS (1.48, 1.26,1.72). There were no independent relationships between symptoms in parents and offspring for EMA, nocturnal sweating or long sleep time (>9 h/night).ConclusionThe familiar aggregation of many sleep disturbances was not explained by investigated lifestyle and environmental factors. This supports a heritable factor in sleep problems.     

Validation of the Japanese version of the Sleep Hygiene Practice Scale

ObjectiveThis study sought to validate the Japanese version of the Sleep Hygiene Practices Scale (SHPS-J).Patients/methodsA cross-sectional questionnaire-based study was conducted via the internet. In total, 854 participants (435 men, 419 women; mean age, 42.91 ± 11.54 years) were asked to complete all scales, and 283 of them were asked to complete the same scales two weeks later. The survey consisted of the SHPS-J, the Japanese version of the Insomnia Severity Index (ISI-J), and the Japanese version of the Pittsburgh Sleep Quality Index (PSQI-J). The SHPS-J was developed according to the International Society for Pharmacoeconomics and Outcomes Research Task Force for Translation and Cultural Adaption. For the analysis, participants were divided into three groups: insomnia syndrome, insomnia symptoms, and good sleep groups.ResultsThe SHPS-J had good test-retest reliability (ICC: 0.55–0.76) and adequate internal consistency (α = 0.54–0.74), except with regard to eating/drinking behaviors. The factorial validity of the four-factor structure was confirmed through a confirmatory factor analysis; however, one item related to eating/drinking behaviors had no significant factor loading. The construct validity was confirmed through a correlation analysis between each domain of the SHPS-J and ISI-J (r = 0.19–0.60, p < 0.01). The results of clinical validation confirmed that all domains of the SHPS-J were significantly higher for individuals with insomnia than for good sleepers.ConclusionsThis study confirmed both the reliability and validity of the SHPS-J.     

The Arousal Disorders Questionnaire: a new and effective screening tool for confusional arousals,Sleepwalking and Sleep Terrors in epilepsy and sleep disorders units

BackgroundArousal Disorders (DoA) include Confusional Arousals, Sleepwalking and Sleep Terrors. DoA diagnosis is mainly clinical but no validated questionnaires exist for DoA screening according to the criteria of the International Classification of Sleep Disorders, Third Edition. Recently our group proposed the Arousal Disorders Questionnaire (ADQ) as a new diagnostic tool for DoA diagnosis. The objective of this study was to evaluate the diagnostic accuracy of the ADQ in a sleep and epilepsy center.MethodsOne interviewer blinded to clinical and video-polysomnographic (VPSG) data administered the ADQ to 150 patients consecutively admitted to our Sleep and Epilepsy Centers for a follow-up visit. The final diagnosis, according to VPSG recordings of at least one major episode, classified patients either with DoA (DoA group) or with other sleep-related motor behaviors confounding for DoA (nDoA group).Results47 patients (31%) composed the DoA group; 56 patients with REM sleep behavior disorder, 39 with sleep-hypermotor epilepsy, six with night eating syndrome, and two with drug-induced DoA composed the nDoA group. The ADQ had a sensitivity of 72% (95% CI: 60–82) and a specificity of 96% (95% CI: 89–98) for DoA diagnosis; excluding the items regarding consciousness and episode recall, sensitivity was 83% (95% CI: 71–90) and specificity 93% (95% CI: 86–97).ConclusionsThe ADQ showed good accuracy in screening patients with DoA in a sleep and epilepsy center setting. Diagnostic criteria related to cognition and episode recall reduced ADQ sensitivity, therefore a better definition of these criteria is required, especially in adults.     

Sleep modulates effective connectivity: A study using intracranial stimulation and recording

ObjectiveSleep is an active process with an important role in memory. Epilepsy patients often display a disturbed sleep architecture, with consequences on cognition. We aimed to investigate the effect of sleep on cortical networks’ organization.MethodsWe analyzed cortico-cortical evoked responses elicited by single pulse electrical stimulation (SPES) using intracranial depth electrodes in 25 patients with drug-resistant focal epilepsy explored using stereo-EEG. We applied the SPES protocol during wakefulness and NREM – N2 sleep. We analyzed 31,710 significant responses elicited by 799 stimulations covering most brain structures, epileptogenic or non-epileptogenic. We analyzed effective connectivity between structures using a graph-theory approach.ResultsSleep increases excitability in the brain, regardless of epileptogenicity. Local and distant connections are differently modulated by sleep, depending on the tissue epileptogenicity.In non-epileptogenic areas, frontal lobe connectivity is enhanced during sleep. There is increased connectivity between the hippocampus and temporal neocortex, while perisylvian structures are disconnected from the temporal lobe. In epileptogenic areas, we found a clear interhemispheric difference, with decreased connectivity in the right hemisphere during sleep.ConclusionsSleep modulates brain excitability and reconfigures functional brain networks, depending on tissue epileptogenicity.SignificanceWe found specific patterns of information flow during sleep in physiologic and pathologic structures, with possible implications for cognition.     

Variation in patterns of telestroke usage during the COVID-19 pandemic

ObjectivesEarly in the pandemic, there was a substantial increase in telestroke uptake among hospitals. The motivations for using telestroke during the pandemic might have been different than for hospitals that adopted telestroke previously. We compared stroke care at hospitals that adopted telestroke prior to the pandemic to care at hospitals that adopted telestroke during the pandemic.Materials and methodsStroke episodes and telestroke use were identified in Medicare Fee-for-Service Data. Hospital and episode characteristics were compared between pre-pandemic (Jan. 2019–Mar. 2020) and pandemic (Apr. 2020–Dec. 2020) adopters.ResultsHospital bed counts, critical access statuses, stroke volumes, clinical operating margins, shares of stroke care via telestroke, and vascular neurology consult rates did not differ significantly between pre-pandemic and pandemic-adopting hospitals. Hospitals that never adopted telestroke during the study period were more likely to be small critical access hospitals with low clinical operating margins.ConclusionsCompared to hospitals that adopted telestroke before the pandemic, hospitals that adopted telestroke during the pandemic were similar in characteristics and how they used telestroke.     

Sleep quality in acromegaly and changes after transsphenoidal surgery: a prospective longitudinal study

ObjectiveTo elucidate the sleep quality characteristics and factors related to either good or poor sleep quality in acromegaly patients before surgery and to explore sleep quality changes after transsphenoidal surgery and the factors related to these changes.MethodsWe prospectively enrolled 39 acromegaly patients and 78 patients with nonfunctioning pituitary adenomas. Scales for anxiety, depression, disease stigma and nasal condition were evaluated. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was administered before surgery as well as one month and three months after surgery.ResultsA higher percentage of acromegaly patients had poor sleep quality compared to controls (35.9% vs. 5.1%, p < 0.001). In addition, acromegaly patients experienced worse subjective sleep quality, extended sleep latency, increased sleep disturbance and decreased daytime functioning. Higher scores for anxiety, disease stigma and sinonasal outcomes were correlated with worse sleep quality in acromegaly patients. At one month after transsphenoidal surgery, we found worse subjective sleep quality, extended sleep latency, shortened sleep duration, impaired sleep efficiency and increased sleep disturbance in acromegaly patients. At three months postoperatively, most impaired PSQI domains in acromegaly patients recovered to preoperative levels. The use of soluble gauze was related to decreased sleep quality at one month after surgery and severe anxiety and depression were related to improved sleep quality at three months after surgery.ConclusionsSleep quality was reduced in acromegaly patients. Moreover, sleep quality initially worsened after surgery but later recovered. Emotional problems and the use of soluble gauze were related factors.Clinical trial registrationNone.