Higher Epworth Sleepiness Scale Scores Research Articles

Olfactory Dysfunction and Long-Term Trajectories of Sleep Disorders among early Parkinson’s Disease: Findings from a Longitudinal Cohort

Background: Previous studies have suggested a connection between impaired olfactory function and an increased risk of rapid eye movement sleep behavior disorder (RBD) in individuals diagnosed with Parkinson’s disease (PD). However, there is a gap in knowledge regarding the potential impact of olfactory dysfunction on the long-term patterns of sleep disorders among early PD patients. Methods: Data from the Parkinson’s Progression Markers Initiative program included 589 participants with assessments of sleep disorders using the Epworth Sleepiness Scale (ESS) and RBD Screening Questionnaire (RBDSQ). Olfactory dysfunction at baseline was measured using the University of Pennsylvania Smell Identification Test. Trajectories of sleep disorders over a 5-year follow-up were identified using group-based trajectory modeling, and the relationship between olfactory dysfunction and sleep disorder trajectories was examined through binomial logistic regression. Results: Two distinct trajectories of sleep disorders over the 5-year follow-up period were identified, characterized by maintaining a low or high ESS score and a low or high RBDSQ score. An inversion association was observed between olfactory function measures and trajectories of excessive daytime sleepiness (odds ratio [OR] = 0.97, 95% confidence interval [CI] 0.95, 1.00, p = 0.038), after controlling for potential covariates. Similarly, olfactory function showed a significant association with lower trajectories of probable RBD (OR = 0.96, 95% CI 0.94, 0.98, p = 0.001) among early PD individuals. Consistent findings were replicated across alternative analytical models. Conclusions: Our findings indicated that olfactory dysfunction was associated with unfavorable long-term trajectories of sleep disorders among early PD.

Sleep Quality and its Daytime Effects among University Students in the UAE.

To determine the irregularity in the sleep schedule among university students in the UAE and determine its correlation with poor sleep quality, daytime sleepiness, and fatigue. This observational cross-sectional survey was electronically conducted among undergraduate students of Ajman University during the academic year 2022-2023. The participants were selected using a simple random sampling method. The instruments for data collection comprised of sleep schedule questionnaire, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Fatigue Severity Scale. Data was subjected to chi-square analysis, Mann-Whitney U test, Wilcoxon rank-sum test, and Spearman's correlation. Of the 537 participants, 353 (65.7%) were female. The majority (57.2%) kept highly irregular bedtimes. The cohort's mean global PSQI score was 8.9±3.0 indicating poor sleep quality. There was a positive correlation between the irregular bedtime frequency and the global PSQI score (r = 0.311; p < 0.010). Most (70.8%) participants had a total high Fatigue Severity Scale score of ≥ 36. The scores of women (41.0±10.5) were significantly higher than those of men (38.5±11.0) (p =0.006). Around 53.0% of the participants had high ESS scores indicating excessive daytime sleepiness. There was also a significant correlation between ESS score and irregular bedtime frequency (r = 0.113; p =0.009). The students at Ajman University had a high prevalence of irregular bedtime and inadequate sleeping hours. This was affecting their sleep quality and causing excessive daytime sleepiness. The students, especially women, were suffering from fatigue, potentially affecting their normal functionality. It is crucial to encourage students to establish regular sleep patterns and improve sleep habits to promote their productivity and general well-being.

Study of the prevalence and predictive factors of sleep-disordered breathing in patients with interstitial lung diseases

BackgroundInterstitial lung diseases (ILDs) are parenchymal lung conditions that are chronic, progressive, and have a high morbidity and mortality rate. Due to restrictions in their gas exchange and ventilatory dysfunction, ILD patients are probably at risk for sleep-disordered breathing (SDB).MethodologySixty-nine patients with diffuse parenchymal lung diseases identified by high-resolution computed tomography (HRCT) chest were included in the study. All patients were assessed by the STOP-BANG questionnaire (SBQ), Epworth sleepiness scale (ESS), and full-night polysomnography (PSG) for diagnosis and classification of SDB. The aim of the study is to examine the prevalence and risk factors for SDB in ILD.ResultsAmong the study group hypersensitivity pneumonitis (HP) was the most prevalent ILD, accounting for 63.8% of cases. Out of 69 individuals, 42 (60.9%) had SDB, 57.1% of those with SDB had obstructive sleep apnea (OSA), and the majority of those with OSA had mild degrees (21.7%, n = 15).ConclusionOSA is significantly common in ILD patients. Higher left atrium diameter and oxygen desaturation index (ODI) are predictive factors of SDB. To facilitate early diagnosis and therapy, PSG should be performed on ILD patients at high risk (such as males, individuals with high ESS scores, SBQ scores, and left atrium diameter).Trial registrationRetrospectively registered, registration number is NCT06012526, date of registration August 25, 2023.

O079 Investigating Hypersomnolence Disorders in South Australia: A Retrospective Audit of Multiple Sleep Latency tests

Abstract Introduction This study aims to evaluate the characteristics of patients with Narcolepsy Type 1 (NT1), Narcolepsy Type 2 (NT2), and Idiopathic Hypersomnolence (IH) along with diagnostic outcomes in patients referred for a multiple sleep latency test (MSLT) at an Australian hospital. Methods A retrospective audit was performed of all patients who completed an MSLT between January 2018 to January 2023. Results 431 participants (62.4% female; mean±SD age 40.2±16.4 years; BMI 28.6±7.4 kg/m²) who completed MSLTs were included. 95 participants (22%) had a positive MSLT of ≤ 8 minutes, of which 87% (n=83) had a prior night total sleep time on polysomnography of &amp;gt; 6 hours. Gender, age, and BMI did not vary significantly between participants with a mean sleep latency (MSL) ≤ 8 versus &amp;gt;8 minutes (p=0.9, p&amp;gt;0.9, p=0.1 0, respectively). Participants with an MSL ≤ 8 minutes had higher Epworth Sleepiness Scale scores 14.6 ± 5.1 vs 12.5 ± 5.0 (p &amp;lt; 0.001), with more sleep onset REM periods (SOMREPs) 0.82 ± 1.35 vs 0.14 ± 0.49 compared to those with MSL &amp;gt;8 minutes. Further data collection is in progress, but to date, diagnoses were available for 34 participants with MSL ≤ 8 minutes (6 NT1, 8 NT2, 8 IH, 12 Other [i.e., shiftwork disorder, sleep restriction, medication-induced]). Discussion This study seeks to estimate diagnostic frequency and characteristics of patients presenting for evaluation of hypersomnolence. The prevalence of MSL &amp;lt; 8 minutes (22.0%) is consistent with prior studies1,2. Analysis of diagnostic outcomes is pending further data collection in progress.

Relationships between Lip Seal Strength, Tongue Pressure, and Daytime Sleepiness in Japanese Workers: A Cross-Sectional Study.

This cross-sectional study aimed to examine the relationships between lip seal strength, tongue pressure, and daytime sleepiness in Japanese workers. A self-administered questionnaire which comprised the Epworth Sleepiness Scale (ESS) was completed by 496 workers, and excessive daytime sleepiness was defined by an ESS score of 11 or over. Lip seal strength and tongue pressure were measured in all participants, and multiple regression analyses were performed to examine the effects of lip seal strength and tongue pressure on daytime sleepiness. The median ESS score was 5.0 (25th and 75th percentiles: 2.0 and 8.0), and 42 (8.5%) workers had excessive daytime sleepiness. The median lip seal strength was 13.5 N (11.4, 16.3), and the tongue pressure was 41.7 kPa (35.2, 48.3). Workers with higher ESS scores had significantly lower levels of lip seal strength than those without, following adjustments for age and body mass index (BMI) values (β (95% confidence interval): -0.043 [-0.081, -0.004]). However, tongue pressure was not significantly associated with ESS score after adjustments for age and/or BMI. These results suggest that maintaining moderate lip seal strength may help prevent excessive daytime sleepiness in Japanese workers regardless of age or BMI.

Screening and treatment of pre-bariatric surgical patients with obesity related sleep disordered breathing.

There is a significant burden of sleep disordered breathing (SDB) in patients living with severe and complex obesity undergoing pre-bariatric surgery assessment. This longitudinal observational study evaluated the burden of obesity hypoventilation syndrome (OHS) in this cohort of patients and the therapeutic compliance of patients commenced on positive airway pressure treatment. All pre-bariatric surgery patients referred to the sleep clinic for review after an abnormal screening study between 2018 and 2022 were included. We collected data on their sleep study results, anthropometrics, co-morbid medical conditions, clinical observations, spirometry and arterial blood gas (ABG). Patients commenced on therapy were followed-up longitudinally and compliance data collected via remote monitoring. A total of 116 patients were included [age: mean ± standard deviation (SD) 48.8±10.8 years; body mass index (BMI) 49.2±8.5 kg/m2; Epworth Sleepiness Scale (ESS) 8.7±5.1 points]. Fifteen patients (12.9% of cohort) were diagnosed with hypercapnic respiratory failure (pH 7.40±0.02; pO2 11.00±1.04 kPa; pCO2 6.15±0.08 kPa). Compared to eucapnic obstructive sleep apnoea (OSA) patients, they were older (51.1 vs. 48.5 years; P=0.311), had a higher BMI (51.5 vs. 48.9 kg/m2; P=0.266), more likely to be female (66.7% vs. 53.5%; P=0.275) and had a higher ESS score (10.4 vs. 8.5 points; P=0.177). On binomial regression analysis insulin dependent diabetes was the only patient characteristic of significance with prevalence increased in patients with OHS (26.7% vs. 8.9%; P=0.042). Forced vital capacity (FVC) and oxygen saturation (SpO2) cut-offs demonstrated high specificity (96.8%) but low sensitivity (13.3%) to diagnosed hypercapnia. Fifty percent of the patients with hypercapnia required bi-level ventilation. On follow-up 44.9% of patients were compliant with therapy (>4 hours usage/night). In minimally symptomatic patients living with severe and complex obesity who have an abnormal overnight oximetry, over 1 in 10 demonstrated chronic respiratory failure. Clinic spirometry and daytime SpO2 excluded those with hypercapnia. Overall adherence to prescribed therapy is low. Screening, appropriate pre-operative optimisation and peri-operative planning are important in preventing complications in this patient cohort.

Mood Disorders are Correlated with Autonomic Nervous Function in Chronic Insomnia Patients with OSA.

To evaluate the correlation between sleep microstructure, autonomic nervous system activity, and neuropsychological characteristics in chronic insomnia (CI) patients with obstructive sleep apnea (OSA). Forty-five CI-OSA patients, forty-six CI patients and twenty-two matched healthy control subjects (HCs) were enrolled. CI-OSA patients were then divided into two groups: mild OSA and moderate-to-severe OSA. All participants completed neuropsychological tests, which included the Hamilton Depression and Anxiety Scales (HAMD and HAMA), the Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI), the Epworth Sleepiness Scale (ESS), and the Mini-mental State Examination (MMSE). The autonomic nervous system activity and sleep microstructure were examined by the PSM-100A. The CI-OSA patients exhibited higher scores on the PSQI, ESS, ISI, HAMA, and HAMD than HCs and CI patients (all p < 0.01). The CI-OSA patients had a lower proportion of stable sleep, REM sleep and a higher proportion of unstable sleep ratio (all p < 0.01) than HCs and CI patients (all p < 0.01). The CI-OSA patients had higher ratios of LF and LF/HF, and lower ratios of HF and Pnn50% (all p < 0.01) than HCs and CI patients (all p < 0.01). Compared to CI-mild OSA patients, the CI-moderate-to-severe OSA patients presented with a higher ESS scores, higher ratios of LF and LF/HF, and lower ratios of HF (all p < 0.05). In CI-OSA patients, higher HAMD scores were correlated with decreased MMSE scores (r=-0.678, p < 0.01). A higher LF ratio was correlated with higher HAMD and HAMA scores (r=0.321, p=0.031, r =0.449, p =0.002), and a higher HF ratio was correlated with lower HAMD and HAMA scores (r=-0.321, P =0.031, r =-0.449, p =0.002). OSA exacerbates the abnormalities of sleep microstructure and the autonomic nervous dysfunction in CI patients. Dysfunction of the autonomic nervous system could contribute to mood deterioration in CI with OSA patients.

Applicability of the Sustained Attention to Response Task (SART) in hypersomnolence: Experience and results from a tertiary referral center

Objective/backgroundEvaluation of hypersomnolence disorders ideally includes an assessment of vigilance using the short Sustained Attention to Response Task (SART). We evaluated whether this task can differentiate between hypersomnolence disorders, whether it correlates with subjective and objective sleepiness, whether it is affected by the time of day, and symptoms of anxiety and depression. Patients/methodsWe analyzed diagnostic data of 306 individuals with hypersomnolence complaints diagnosed with narcolepsy type 1 (n=100), narcolepsy type 2 (n=20), idiopathic hypersomnia (n=49), obstructive sleep apnea (n=27) and other causes or without explanatory diagnosis (n=110). We included the Multiple Sleep Latency Test (MSLT), polysomnography, Epworth Sleepiness Scale (ESS), Hospital Anxiety and Depression Scale and SART, which were administered five times during the day (outcomes: reaction time, total, commission and omission errors). ResultsThe SART outcomes did not differ between groups when adjusted for relevant covariates. Higher ESS scores were associated with longer reaction times and more commission errors (p<.01). The main outcome, total errors, did not differ between times of the day. Reaction times and omission errors were impacted (p<.05). ConclusionsThe SART quantifies disturbed vigilance, an important dimension of disorders of hypersomnolence. Results do not suggest that depressive symptoms influence SART outcomes. A practice session is advised. Testing time should be taken into account when interpreting results. We conclude that the SART does not differentiate between central disorders of hypersomnolence. It may be a helpful addition to the standard diagnostic workup and monitoring of these disorders.

Daytime sleepiness is associated with increased coronary plaque burden among patients with obstructive sleep apnea.

To investigate the cross-sectional associations of daytime sleepiness with coronary plaque volume and composition in patients with obstructive sleep apnea (OSA), and whether or not these associations are modified by age, gender, and obesity. Patients who were confirmed with OSA through respiratory polygraphy and also underwent coronary CTA at a tertiary hospital were consecutively enrolled. The interval between the sleep monitoring and coronary CTA scan was < 3months. Every patient completed the Epworth sleepiness scale (ESS) to assess daytime sleepiness, and an ESS score of ≥ 11 was recognized as excessive daytime sleepiness (EDS). Coronary plaque volume and composition were measured using semi-automatic software. Of the 394 patients with OSA (median [IQR] age, 56.0 [49.0-64.0] years; median [IQR] body mass index, 27.9 [25.5-30.2] kg/m2; median [IQR] apnea-hypopnea index, 21.3 [11.7, 36.3] events/h), a total of 200 patients had EDS. In the overall participants, a significant dose-response relationship between ESS scores and low-attenuation plaque volume was found in the fully adjusted model (P = 0.019). Further analysis demonstrated that there was a significant interactive effect of ESS levels and obesity on coronary plaque volume (all P values for interaction analysis < 0.05). Specifically, ESS levels were associated with total plaque volume, volumes of noncalcified, low-attenuation, and calcified plaque (P = 0.008, 0.006, 0.005, and 0.043 respectively) in obese patients with OSA. Daytime sleepiness is significantly correlated with increased coronary plaque burden among patients with OSA. Thus, clinicians should recognize that patients with OSA reporting high ESS scores, especially those with obesity, are more prone to experience adverse coronary events.

Sex differences in variables associated with excessive daytime sleepiness in patients with epilepsy

ObjectiveExcessive daytime sleepiness (EDS) is common in patients with epilepsy (PWE). The Epworth Sleepiness Scale (ESS) is a self-reported measure of sleepiness in widespread use. The purpose of this study was to identify contributors to the ESS score in PWE and to identify variables associated with a high score indicative of EDS. MethodsA cross-sectional study was performed on 115 PWE presenting to the epilepsy clinic. Self-reported questionnaires were administered and demographic and clinical information was gathered from the electronic medical record. Regression analyses were performed. ResultsA high ESS score was found in nearly 20% of the cohort. Obstructive sleep apnea (OSA) risk, standardized anti-seizure drug (ASD) dose, and female sex were associated with an increased likelihood of a high ESS score. Assessment of the ESS without the use of a cutpoint showed that standardized ASD dose and OSA risk were associated with the ESS in men, but standardized ASD dose was not associated with the ESS in women. Higher use of valproic acid and oxcarbazepine in men and higher use of lamotrigine in women may be contributing factors. SignificanceSex is likely to be a key factor in determining contributors to EDS in PWE.

Laryngopharyngeal Reflux in Sleep-Disordered Breathing Patients.

Our study aims to evaluate the distribution of laryngopharyngeal reflux (LPR) in patients with sleep-disordered breathing (SDB) via the Reflux Symptom Index (RSI) and to describe the sleep architecture in SDB patients with and without LPR. A cross-sectional, descriptive study was conducted. Patients with SDB were identified via the Epworth Sleepiness Scale (ESS) and STOP-BANG questionnaire; they were then screened with the RSI and physical examination for LPR. PSG was performed to evaluate obstructive sleep apnea (OSA). Of 45 patients, 15 were scored as having LPR via the RSI. Utilizing the Respiratory Disturbance Index (RDI), patients were further classified into four groups: 9 non-LPR with non-OSA SDB, 21 non-LPR with OSA, 4 LPR with non-OSA SDB, and 11 LPR with OSA. The prevalence of LPR was 30.8% in the non-OSA SDB group and 34.4% in the OSA group. All SDB parameters in both groups were similar. SDB patients with high body mass index tended to have LPR and/or OSA. Average ESS scores in the four groups suggested excessive daytime sleepiness, and patients with LPR had higher ESS scores. Regardless of LPR status, SDB patients had a lower percentage of REM sleep and a higher percentage of light sleep. The incidence of LPR in OSA patients was similar in non-OSA SDB patients. REM sleep percentage decreased in the four groups, with the non-OSA SDB group having the lowest percentage of REM sleep; light sleep percentage increased in the four groups, with the OSA group having the highest percentage of light sleep.

Obstructive Sleep Apnea and Auditory Dysfunction-Does Snoring Sound Play a Role?

The objective of the study was to investigate the relationship between obstructive sleep apnea (OSA) and auditory dysfunction, and to clarify the role of snoring sounds in contributing to auditory dysfunction. A comprehensive assessment of OSA and the auditory system was performed, including overnight polysomnography, detection of the intra-ear canal snoring sound energy (SSE), pure tone average (PTA), tinnitus pitch matching, the tinnitus handicap inventory (THI), and the Epworth sleepiness scale (ESS). The patients were identified as having tinnitus if their THI score was higher than zero or their tinnitus pitches were matched to specific frequencies. The median age, body mass index, and apnea–hypopnea index score were 41 years, 26.4 kg/m2, and 29.9 events/h, respectively. Among the 50 participants, 46 (92%) had a normal PTA, and only 4 (8%) patients had mild hearing loss. There was no significant difference in PTA among OSA severities (p = 0.52). Among the 50 participants, 33 patients (66%) were identified as having tinnitus. In the tinnitus group (n = 33), the ESS score (p = 0.01) and intra-ear canal SSE of 851–1500 Hz (p = 0.04) were significantly higher than those in the non-tinnitus group (n = 17). OSA patients with a higher ESS score had a higher risk of tinnitus (odds ratio 1.22 [95% CI: 1.01–1.46]). OSA-related auditory dysfunction emerged in tinnitus rather than in hearing impairment. OSA patients with daytime sleepiness had a higher risk of tinnitus. High-frequency SSE can jeopardize cochlea and is a potential mechanism contributing to tinnitus. Detection of snoring sounds through an intra-ear canal device may be more precise in assessing acoustic trauma from snoring sounds to vulnerable auditory system and thus warrants further research.

Changes in Sleep Pattern During the COVID-19 Lockdown in Patients With Narcolepsy, Idiopathic Hypersomnia, and Restless Legs Syndrome.

To explore the first coronavirus disease 2019 (COVID-19) lockdown effect on sleep symptoms in patients with narcolepsy, idiopathic hypersomnia (IH), and restless legs syndrome (RLS). Between March and May 2020, a sample of adult patients regularly followed up in a Reference Hospital Sleep Unit (299 with narcolepsy, 260 with IH, and 254 with RLS) was offered an online survey assessing their sleep-wake habits, daily activities, medication intake, and validated scales: International RLS Study Group questionnaire, Narcolepsy Severity Scale (NSS), IH Severity Scale (IHSS), Epworth Sleepiness Scale (ESS), Insomnia Severity Index, Beck Depression Inventory-II, and European Quality of Life (QoL) scale. The survey was proposed once, and the questions were answered for the prelockdown (recall of the month before the confinement) and the lockdown (time of study) periods. Overall, 331 patients completed the survey (response rate 40.7%): 102 with narcolepsy, 81 with IH, and 148 with RLS. All patients reported later bedtimes, with reduced differences for time in bed (TIB) and total sleep time (TST) over 24 hours between weekdays and weekends. Patients with narcolepsy spent more TIB and increased TST overnight, with more daytime napping. They had more awakenings, higher ESS scores, lower QoL, and no NSS changes. Patients with IH also increased their TIB, TST overnight and 24 hours on weekdays. Nocturnal sleep latency and the number of awakenings increased but with no change in ESS, QoL, and IHSS scores. Patients with RLS reported longer nocturnal sleep latency, more awakenings, more naps, decreased TIB, and TST overnight. RLS severity increased while QoL decreased. A significant portion of patients reported disease worsening during the lockdown (narcolepsy: 39.4%, IH: 43.6%, and RLS: 32.8%), and some patients stopped or lowered their medication (narcolepsy: 22.5%, IH: 28%, and RLS: 9.5%). During the lockdown, all patients reported later bedtimes; those with narcolepsy and IH extended their sleep duration unlike patients with RLS. These changes were often associated with negative consequences on QoL. In the current context of recurrent COVID-19 waves, the recent development of teleconsultations should enable physicians to monitor patients with chronic sleep disorders more closely and to recommend optimized sleep schedules and duration, in order to prevent psychological problems and improve their QoL.

A Meta-Analysis of Sleep Disorders and Nonalcoholic Fatty Liver Disease: Potential Causality and Symptom Management.

Nonalcoholic fatty liver disease is a type of metabolic disease, and recent research indicates that it may be associated with sleep disorders. We conducted a meta-analysis of current studies to estimate the associations between nonalcoholic fatty liver disease and sleep situation, including sleep duration, daytime sleepiness, and sleep disorder. This study follows the checklist of the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). Articles in the recent 10 years were searched from five databases. Eighteen articles, which met the eligibility criteria, were included in this meta-analysis. The results show that patients with nonalcoholic fatty liver disease have a shorter sleep duration and higher Epworth Sleepiness Scale score. Patients with short sleep duration (≤6 hours per night) or with obstructive sleep apnea have a higher risk of nonalcoholic fatty liver disease. In conclusion, there is a significant association between nonalcoholic fatty liver disease and sleep disorders in the included studies. In addition, patients with nonalcoholic fatty liver disease may have more severe daytime sleepiness and shorter sleep duration. More attention should be paid to the sleep situation of nonalcoholic fatty liver disease patients to potentially slow the disease progression.

Correlates of excessive daytime sleepiness in obstructive sleep apnea: Results from the nationwide SESAR cohort including 34,684 patients.

Excessive daytime sleepiness (EDS) is a hallmark symptom in obstructive sleep apnea (OSA). It is commonly eliminated by obstructive sleep apnea therapy and constitutes a major treatment indication. This study aimed to identify determinants of excessive daytime sleepiness by the Epworth Sleepiness Scale (ESS) scores in the large, representative national obstructive sleep apnea patient cohort of the Swedish Sleep Apnea Registry (SESAR, www.sesar.se). Data from 34,684 patients with obstructive sleep apnea recruited at 23 sites (33% females, mean age 55.7 ± 13.7 years, BMI 30.2 ± 6.3kg/m2 , AHI 29.1 ± 22.3, and ODI 24.9 ± 21.4 events/h) had a mean ESS score in the mild to moderate excessive daytime sleepiness range (9.7 ± 4.9). The proportion of patients with excessive daytime sleepiness was 41.4% in men and 44.6% in women. Independent predictors of excessive daytime sleepiness included gender, age, and hypoxic markers (high ODI and low mean saturation). Univariate and multivariate analyses were used to identify significant predictors for the ESS score and for excessive daytime sleepiness (ESS ≥10) amongst anthropometric factors, sleep apnea frequency (apnea-hypopnea index (AHI)), markers of intermittent hypoxia (oxygen desaturation index (ODI), mean saturation (mSaO2 )), as well as prevalent comorbidities. Depression was associated with higher ESS scores and hypertension/atrial fibrillation with lower scores. The oxygen desaturation index provided a stronger predictor of excessive daytime sleepiness than the apnea-hypopnea index. The severity of obstructive sleep apnea, captured as the apnea-hypopnea index, was only weakly associated with daytime sleepiness in this representative obstructive sleep apnea patient cohort. Age had different effects in men and women.The impact of obstructive sleep apnea in a wider patient related perspective needs to be determined after the inclusion of factors other than the apnea-hypopnea index.

Sex differences in Epworth Sleepiness Scale normalization with continuous positive airway pressure.

Continuous positive airway pressure (CPAP) improves sleepiness in patients with obstructive sleep apnea, but some patients remain sleepy. The objective of this study was to identify determinants that are associated with improvements in self-reported sleepiness in patients with obstructive sleep apnea on CPAP therapy. A retrospective cohort study was performed in a clinic-based population to determine which variables contributed to the improvement in the Epworth Sleepiness Scale (ESS) in patients on CPAP therapy for OSA, stratified by baseline ESS score (< 11 or ≥ 11). Variables associated with ESS scores normalizing with CPAP were also assessed. Patients with a baseline high ESS score showed greater improvements in the ESS with CPAP. When looking at interactions between baseline ESS classification and changes in ESS, we found that a higher apnea-hypopnea index was only associated with improvement in the ESS among patients with a high baseline ESS. Other assessed factors or covariates were not significantly different. When looking at ESS normalization, we found that female sex and lower body mass index were associated with a lower likelihood of ESS normalization. The difference in the rate of ESS normalization between females and males was higher with more days on CPAP. Of all the assessed factors and covariates, only the apnea-hypopnea index was associated with the change in the ESS differently in patients with a high or normal baseline ESS score. ESS normalization rates were lower in females than in males, and this disparity was amplified by more days on CPAP. Scharf MT, Zhang P, Walker NA, etal. Sex differences in Epworth Sleepiness Scale normalization with continuous positive airway pressure. J Clin Sleep Med. 2022;18(9):2273-2279.

Poorer sleep quality in patients with chronic temporomandibular disorders compared to healthy controls

ObjectivesThis study aimed to investigate and compare sleep quality between patients with chronic temporomandibular disorder and healthy controls, and to analyze the association of sleep quality with disease characteristics, obstructive sleep apnea risk factors, and excessive daytime sleepiness.MethodsChronic temporomandibular disorder patients (n = 503, mean age: 33.10 ± 13.26 years, 333 females) and 180 age- and sex-matched healthy controls (mean age: 32.77 ± 12.95 years, 116 females) were included, who completed well-organized clinical report and answered questions on sleep quality (Pittsburgh Sleep Quality Index), sleep apnea risk factors (STOP-Bang questionnaire), and excessive daytime sleepiness (Epworth sleepiness scale).ResultsMean global Pittsburgh Sleep Quality Index scores were significantly higher in the patients (6.25 ± 2.77) than in healthy controls (3.84 ± 2.29) (p < 0.001). Poor sleep was significantly more prevalent in the patient group (56.9%) than in healthy controls (22.2%) (p < 0.001). Compared with healthy controls, chronic temporomandibular disorder patients had a higher likelihood of obstructive sleep apnea (STOP-Bang total score ≥ 3; 7.2% vs. 16.1%; p < 0.01) and higher excessive daytime sleepiness (Epworth sleepiness scale score ≥ 10; 12.8% vs. 19.7%; p < 0.05). Age (odds ratio = 2.551; p < 0.001), female sex (odds ratio = 1.885; p = 0.007), total Epworth sleepiness scale score (odds ratio = 1.839; p = 0.014), and headache attributed to temporomandibular disorder (odds ratio = 1.519; p = 0.049) were the most powerful predictors of poor sleep (global Pittsburgh Sleep Quality Index score ≥ 5) in chronic temporomandibular disorder patients.ConclusionChronic temporomandibular disorder patients had markedly impaired sleep quality than healthy controls. Poorer sleep in patients with chronic temporomandibular disorder was associated with a variety of clinical factors, including a higher likelihood of excessive daytime sleepiness, older age, female gender, higher Epworth sleepiness scale scores, and the presence of headache attributed to temporomandibular disorder.

The relationship of obstructive sleep apnea risk with the disease severity and clinical parameters in COPD population

Aim: Obstructive sleep apnea syndrome (OSAS) and chronic obstructive pulmonary disease (COPD) have common pathophysiological mechanisms affecting the prognosis of each other. This study aims to investigate the relationship between the presence of OSA risk and the severity of COPD and to determine the possible clinical features for OSA risk for COPD patients.&#x0D; Material and Method: The patients (n=181) who applied to the outpatient clinics of pulmonology between September - November 2019 with the diagnosis of COPD, were analyzed cross-sectionally. Demographic features, anthropometric measurements, comorbidities, smoking status, and severity of dyspnea, respiratory functions, and exacerbation frequency in the last year were evaluated. All patients were questioned with the Epworth sleepiness scale (ESS) for detecting excessive daytime sleepiness (EDS), and the STOP-Bang for determining the risk of OSA. &#x0D; Results: The rate of diabetes, waist and hip circumference measurements, median ESS score, and EDS ratio were found to be higher in patients with moderate/high OSA risk when compared to patients with low OSA risk. In the multivariate regression model; lower oxygen saturation (OR: 0.83; p=0.007) and higher ESS score (OR=1.28; p

Comparison of clinical, biochemical, and polysomnographic parameters between obese and nonobese obstructive sleep apnea.

Background:Obstructive sleep apnea (OSA) occurs in both obese and nonobese individuals. This study was designed to compare clinical, metabolic profile, and polysomnographic parameters among obese and nonobese OSA patients.Material and Methods:This cross-sectional retro-prospective study involved 148 OSA patients. OSA patients were classified as nonobese (body mass index [BMI] <27.5 kg/m2) and obese (BMI ≥27.5 kg/m2) to determine the influence of BMI on its risks, clinical, metabolic, and polysomnographic parameters. For statistical comparisons, continuous variables were analyzed by Student’s t-test and categorical variables by Chi-square.Results:Of 148 patients, 106 patients were of a retrospective group and 42 in the prospective group. 116 patients were obese and 32 were nonobese with a mean BMI of 33.66 ± 5.3 versus. 25.17 ± 2.2 kg/m2 respectively. Female sex (70.7% vs. 43.4%), larger neck circumference (37.99 ± 3.93 vs. 33.67 ± 5.5 cm), loud snoring (94.8% vs. 81.3%), excessive daytime sleepiness (53.4% vs. 9.4%), fatigability (94.8% vs. 75%), high Epworth Sleepiness Scale score (16% vs. 8%), and hypertension (77.6% vs. 46.9%) were significantly (P < 0.05) more common among obese OSA patients while as smoking and sedative use was more prevalent among nonobese OSA group. However, no significant difference in median apnea-hypopnea index and severity of OSA between obese and nonobese group was observed. At the same time, the median oxygen desaturation index was significantly higher in obese patients (26.1 vs. 12.7, P = 0.005).Conclusion:Nonobese OSA patients depicted less severe disease symptoms and thus require high index of suspicion for early identification due to associated cardiovascular risk.

The Epworth Sleepiness Scale in epilepsy: Internal consistency and disease-related associations

BackgroundThe Epworth Sleepiness Scale (ESS) is the most common instrument for measuring subjective sleep propensity in people with epilepsy but has not yet been validated in this population. Study objectivesWe aimed to systematically assess the validity, performance, and internal consistency of the ESS, as well as correlations between the ESS and disease-specific variables and patient-reported outcome measures in a cohort of adults with epilepsy (AWE). MethodsNinety-five AWE completed sleep and seizure diaries, in-laboratory polysomnography (PSG) and patient-reported outcome measures, including the ESS, Insomnia Severity Index (ISI), and the Beck Depression Inventory (BDI). Demographic information and data from 95 matched controls referred for PSG for suspected obstructive sleep apnea (OSA) was taken from the electronic medical record. Frequencies of high ESS item ratings (item score ≥2) were calculated for each group. Cronbach’s α and factor analysis were performed to assess the internal consistency and validity of the ESS within cases and controls. Multivariable linear models were used to assess the association between ESS and predictors of interest, adjusting for demographic and disease-specific variables, including seizure type, frequency, and anti-seizure medication (ASM) therapy. ResultsWhile suspected OSA controls had significantly greater mean ESS total scores (9.9 vs 7.9, p = 0.004) and proportion with ESS >10 (42% vs 25%, p = 0.014), there were no significant differences in the severity of item responses, with the exception of “lying down to rest in the afternoon when circumstances permit,” for which more controls rated as likely/very likely (79% vs 64%), p = 0.024). AWE with ESS >10 had higher mean standardized ASM dose (2.5 vs 1.7, p = 0.026). All ESS items were significantly correlated with the total score within each group. Cronbach’s α was 0.75 for cases and 0.85 for controls, indicating good internal consistency of the ESS for both groups. After adjusting for demographic and sleep characteristics, higher ESS scores were associated with greater insomnia scores on the ISI (p = 0.024) and depressive symptoms on the BDI (p = 0.018). ConclusionsThis study provides validity for the use of the ESS in adult populations with epilepsy.