Development and evaluation of the Indian Sleepiness Scale to assess excessive daytime sleepiness in patients with Obstructive Sleep Apnea.

Background: Excessive daytime sleepiness (EDS), a cardinal symptom of obstructive sleep apnea (OSA) is assessed using Epworth Sleepiness Scale (ESS). Some limitations of ESS include graded responses, inapplicable situations and equal scores for active and passive situations. To overcome these limitations, we developed a novel sleepiness scale and evaluated its performance in patients with OSA. Methods: The study was executed in multiple phases. After determining applicability of items in the ESS, a 6-item questionnaire was developed comprising OSA symptoms and self-reported 'sleepy' situations, dichotomized responses and weighted scoring. After content and face validation by experts, the scale was tested for applicability and its performance was compared with ESS in patients with suspected OSA. Results: In phase I, applicability of ESS was tested in 189 participants, of whom 98 (51.8 %) participants found multiple items inapplicable.In phase II, 34 self-reported sleepy situations from 200 participants were narrowed down to a 6-item questionnaire, based on expert validation. This scale was named the Indian Sleepiness Scale (ISS) and was tested for applicability in phase III in 226 participants from diverse literacy backgrounds, who found all situations applicable.In phase IV, ISS and ESS were administered to 335 patients with suspected OSA. OSA was confirmed on polysomnography in 294 (87.7 %) patients. A cut-off score of ≥6 was derived for ISS; at this cut-off score, the ISS which was more sensitive than ESS (71.1 % vs 43.2 %). Conclusions: The Indian Sleepiness Scale was found to be widely applicable and more sensitive than ESS for sleepiness evaluation in patients with OSA.

Validation of the Polish version of the Boston Carpal Tunnel Questionnaire, and the influence of treatment for disordered sleep and daytime sleepiness in carpal tunnel syndrome.

Purpose: Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy, with paresthesias and pain in the hand and wrist. CTS is also associated with insomnia and excessive daytime sleepiness (EDS) resulting from the nocturnal exacerbation of symptoms. The Boston Carpal Tunnel Questionnaire (BCTQ) was developed for the assessment of therapeutic outcomes. It consists of two subscales: the Symptom Severity Scale (SSS) and the Functional Status Scale (FSS). The aim of this study was to perform an adaptation and validation of the Polish language version of BCTQ (pBCTQ). A second aim was to investigate the influence of treatment of CTS on insomnia and EDS. Methods: The validation of the pBCTQ followed the widely accepted recommendations. In our consecutive sampling survey 130 patients with CTS filled out the pBCTQ, EQ-5D-5L quality of life questionnaire, the Athens Insomnia Scale (AIS) and the Epworth Sleepiness Scale (ESS). 26 of them filled out pBCTQ once again, two weeks later, and 35 filled out the pBCTQ and other items after therapy. Results: The pBCTQ showed good internal consistency: 0.91 for SSS and 0.93 for FSS (Cronbach's α). The test-retest reliability showed an intraclass coefficient of 0.69 for SSS and 0.55 for FSS. Both subscales correlated also with nerve conduction studies (NCS) as well as with the EQ-5D-5L, AIS, and ESS. After therapy, both subscales and AIS significantly decreased. Improvement was also seen in the NCS and EQ-5D-5L, but not in the ESS. Conclusions: The pBCTQ is a reliable, valid, and responsive tool for measuring the outcome of CTS. Therapy for CTS leads to the improvement of concurrent insomnia but may not change daytime sleepiness.

A scoping review of the evidence on pharmacological and non-pharmacological interventions for idiopathic hypersomnia.

STUDY OBJECTIVES: Idiopathic hypersomnia (IH) is characterized by excessive sleepiness during the day, prolonged sleep at night, and difficulty waking up. The true prevalence of IH is uncertain. ICSD provides criteria for diagnosing IH; however, the definition has evolved. Managing IH involves using pharmacologic and non-pharmacologic approaches, although the most effective strategies are still unclear. The objective of this scoping review was to identify the extent, range, and nature of the available evidence, identify research gaps, and discuss the implications for clinical practice and policy. METHODS: To conduct this review, a comprehensive search was conducted across scientific databases, without any restrictions on the date or study type. Eligible studies examined the effectiveness of pharmacologic and non-pharmacologic treatments for IH and reported the outcomes of these interventions. Data from the studies were screened, analyzed, and synthesized to provide an overview of the available literature landscape. RESULTS: 51 studies were included in this review, which used various methods and interventions. Pharmacological treatments, particularly modafinil, have been frequently studied and have yielded positive results. There is also emerging evidence for alternative medications such as low-sodium oxybate and pitolisant. Non-pharmacological approaches, such as CBT-H and tDCS have also shown promise in managing IH. CONCLUSIONS: This review highlights the complexity of managing IH management and emphasizes the need for personalized multidisciplinary approaches. Pharmacological interventions are important in managing IH and can be complemented by non-medication strategies. Larger-scale studies are necessary to advance our understanding of IH and to improve treatment outcomes.

Long-term follow-up of symptom and quality of life changes in patients with narcolepsy during and after the COVID-19 pandemic.

The COVID-19 pandemic may have a significant impact on patients with narcolepsy, yet a long-term follow-up study is currently lacking. This study aims to investigate changes in symptom severity and the quality of life of patients with narcolepsy during and after the pandemic. Patients with type 1 or type 2 narcolepsy (NT1, NT2) were retrospectively recruited and prospectively followed from 2020 to 2023. They received evaluations including the Epworth Sleepiness Scale (ESS), the visual analog scale (VAS) for hypersomnolence, the VAS for cataplexy, the Short-form 36 Health Survey questionnaire (SF-36), and a sleep diary. We compared the differences between the pre-lockdown, the lockdown, the post-lockdown, and the post-pandemic periods by repeated measures ANOVA or the Friedman test, with the Bonferroni test for post hoc analysis. A total of 100 patients completed the 4-year study (mean age, 24.06 ± 7.00 years; 55% male). We observed significant differences in the ESS (p = 0.037), total nighttime sleep (p = 0.03), total sleep time (p = 0.035), and sleep efficiency (p = 0.035) during the study period. There was also significantly worse physical role functioning in the post-pandemic period (p = 0.014). In particular, the NT1 group had significantly decreased VAS-C scores (p < 0.001) but experienced worse physical role functioning in the post-pandemic period (p = 0.009). Patients with narcolepsy continue to face challenges after the pandemic. A more flexible lifestyle with an adequate sleep time may be beneficial, and medication adherence should be emphasized.

Aging and sex are associated with multiple sleep latency test findings and their relationship with self-reported sleepiness.

The aim of this study was to assess age- and sex-related differences in multiple sleep latency test (MSLT) results and in the performance of the Epworth Sleepiness Scale (ESS) at classifying objective hypersomnia (mean sleep latency (MSL) ≤ 8 min). We studied 480 consecutive adults (39.3 ± 15.3 years old [18-93], 67.7% female) who underwent hypersomnia evaluation. We fit linear regression models to investigate associations between age and sex and sleep latencies (mean and for every nap), after adjusting for total sleep time and sleep efficiency (on polysomnography), and REM-suppressing antidepressant effect. A logistic regression was performed to assess whether age and sex were associated with sleep-onset REM period (SOREMP) occurrence. ROC analysis assessed the diagnostic performance of ESS scores to identify a MSL ≤ 8 min in different age/sex groups. For every 10 years of age, there was 0.41 (95% CI 0.11-0.72, p = 0.008) min reduction in MSL. Objectively (MSL ≤ 8 min) sleepy patients had shortening of latencies in naps 4 and 5 with aging. Female sex was associated with a higher MSL only in patients with MSL > 8 min. A 2.4% reduction in the odds of SOREMP occurrence was observed for every year of age in objectively sleepy patients (p = 0.045). ESS scores had a better diagnostic performance in older (≥ 50 years old) men than younger (< 50 years old) women (p < 0.05). Older patients with objectively confirmed hypersomnia may be sleepier in later naps, possibly due to less restorative naps and/or circadian rhythm factors. Self-reported sleepiness is more predictive of objective sleepiness in older men than younger women.

Sleep quality and daytime sleepiness amongst family caregivers of children with Spinal Muscular Atrophy.

BACKGROUND: While there are limited studies focusing on sleep quality of family caregivers of children with Spinal Muscular Atrophy (SMA), there are no studies on daytime sleepiness in SMA. AIMS: This study aimed a) to compare the sleep quality and daytime sleepiness between caregivers of children with SMA and those of healthy peers and b) to investigate the sleep quality and daytime sleepiness of family caregivers of children with different types of SMA. METHODS AND PROCEDURES: This study included 30 family caregivers of children with SMA (SMA Type 1:12, SMA Type 2:10, and SMA Type 3:8) and 31 family caregivers of healthy peers. Sleep quality and daytime sleepiness of family caregivers were evaluated using the Pittsburg Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (EPS), consecutively. OUTCOMES AND RESULTS: Demographic characteristics of children with SMA and healthy peers were similar (p > 0.05). The mean ages of family caregivers of children with SMA and healthy peers were 36.07 ± 5.84 and 35.26 ± 5.02 years, respectively (p = 0.6). The PSQI scores of family caregivers of children with SMA (7.50 ± 3.90 points) were lower than those of healthy peers (4.09 ± 1.97 points) (p < 0.001). There was no difference in PSQI scores between SMA types (p = 0.8). Also, no difference was found between SMA types and between SMA and healthy peers in terms of EPS (p > 0.05). CONCLUSIONS AND IMPLICATIONS: Family caregivers of children with SMA had poor sleep quality but similar daytime sleepiness compared with those of healthy peers. Among SMA types, family caregivers had similar sleep quality and daytime sleepiness. It was demonstrated that the sleep quality of family caregivers should be taken into consideration in the disease management of SMA.

Sleep architecture in idiopathic hypersomnia: the influence of age, sex, and body mass index.

This study aimed to progress the understanding of idiopathic hypersomnia (IH) by assessing the moderating influence of individual characteristics, such as age, sex, and body mass index (BMI) on sleep architecture. In this retrospective study, 76 IH participants (38.1 ± 11.3 years; 40 women) underwent a clinical interview, an in-laboratory polysomnography with a maximal 9-h time in bed and a multiple sleep latency test (MSLT). They were compared to 106 healthy controls (38.1 ± 14.1 years; 60 women). Multiple regressions were used to assess moderating influence of age, sex, and BMI on sleep variables. We used correlations to assess whether sleep variables were associated with Epworth Sleepiness Scale scores and mean sleep onset latency on the MSLT in IH participants. Compared to controls, IH participants had shorter sleep latency (p = 0.002), longer total sleep time (p < 0.001), more time spent in N2 sleep (p = 0.008), and showed trends for a higher sleep efficiency (p = 0.023) and more time spent in rapid eye movement (REM) sleep (p = 0.022). No significant moderating influence of age, sex, or BMI was found. More severe self-reported sleepiness in IH patients was correlated with shorter REM sleep latency and less N1 sleep in terms of proportion and duration (ps < 0.01). This study shows that, when compared to healthy controls, patients with IH had no anomalies in their sleep architecture that can explain their excessive daytime sleepiness. Moreover, there is no moderating influence of age, sex, and BMI, suggesting that the absence of major group differences is relatively robust.

Obstructive Sleep Apnea Among Patients with Mild Cognitive Impairment.

Background: Obstructive sleep apnea (OSA) is associated with cognitive disorders, but little is known about prevalence of co-occurring OSA and mild cognitive impairment (MCI) as well as about co-occurring OSA and Alzheimer's disease (AD). Pathophysiological models integrating OSA, cognitive deficits and neurodegeneration remain speculative. Findings in this area could contribute to the knowledge about pathophysiological processes in cognitive disorders and neurodegenerative processes, be helpful for the diagnosis of cognitive disorders and provide approaches for the treatment of cognitive disorders. Objective: Examining the prevalence of OSA and patterns of cognitive deficits as well as AD biomarker profiles associated with OSA in a cohort of 104 MCI patients. Methods: Assessments used include: respiratory polygraphy, The Consortium to Establish a Registry for Alzheimer's Disease Neuropsychological Battery (CERAD NB), Tau, phosphoTau181, amyloid-ß-1-42/1-40, 18F-fluorodeoxyglucose positron emission tomography (F18-FDG-PET). Results: Prevalence of OSA of any severity: 58,7% (Apnea Hypopnea Index (AHI)≥5/h), OSA in a moderate-to-severe extent (AHI≥15/h): 25%. Only 13.1% of MCI patients with OSA reported daytime sleepiness. MCI-OSA patients showed no specific neuropsychological pattern. Presence of OSA was not associated with specific AD biomarker profiles in the whole study group besides a positive association between AD positivity in an AD biomarker sub cohort. Conclusions: OSA is highly prevalent in patients with MCI. It might often remain undiagnosed as only a small number of MCI-OSA patients report daytime sleepiness. OSA could contribute to MCI symptoms and even to AD pathology. Further research is needed to validate these findings and to investigate possible pathophysiological relationships between OSA and MCI as well as between OSA and AD.

Effects of high-intensity interval training on subjective sleep quality and daytime sleepiness in patients with obstructive sleep apnea: A secondary analysis from a randomized controlled trial.

This study aimed to verify the effect of 12 weeks of HIIT on the perceived sleep quality and excessive daytime sleepiness in patients with obstructive sleep apnea (OSA). For this, a secondary analysis of a randomized controlled trial, including 36 adults with moderate-severe OSA (19 males; 52.2 ± 9.8 years; body mass index = 34.2 ± 5.8; AHI = 42.0 ± 22.9 e/h) was performed. Participants were randomly assigned to HIIT [5 periods of 4 min of walking or running on a treadmill at 90-95 % of maximum heart rate (HRmax) interspersed with 3 min of walking at 50-55 % of HRmax performed three times per week for 12 weeks] or a control group (CG; stretching exercises performed two times per week for 12 weeks). Specific domains of subjective sleep quality and EDS were assessed at baseline and post 12 weeks. Generalized estimated equation were used to verify between groups and times differences. There were no group × time interactions for the domains sleep duration (0.416), sleep efficiency (0.198), sleep disturbance (0.523), and sleep medications (0.915). However, significant group × time interactions were observed for global sleep score (0.022), and for the domains sleep quality (0.001), sleep latency (0.029), and daytime dysfunction (0.012). In addition, there was a significant group × time interaction for EDS (HIIT = -3.4 ± 0.9; CG change = -1.0 ± 1.0; p = 0.023). Thus, in patients with OSA, 12 weeks of HIIT improves perceived sleep quality and daytime sleepiness.

Novel biomarkers derived from the Maintenance of Wakefulness Test as predictors of sleepiness and response to treatment.

The Maintenance of Wakefulness Test (MWT) is a widely accepted objective test used to evaluate daytime somnolence and is commonly used in clinical studies evaluating novel therapeutics for excessive daytime sleepiness. In the latter, sleep onset latency (SOL) is typically the sole MWT endpoint. Here, we explored microsleeps, sleep probability measures derived from automated sleep scoring, and quantitative electroencephalography (qEEG) features as additional MWT biomarkers of daytime sleepiness, using data from a phase 1B trial of the selective orexin receptor 2 agonist danavorexton (TAK-925) in people with narcolepsy type 1 (NT1) or type 2 (NT2). Danavorexton treatment reduced the rate and duration of microsleeps during the MWT in NT1 (days 1 and 7; p ≤ 0.005) and microsleep rate in NT2 (days 1 and 7; p < 0.0001). Use of an EEG-sleep-staging-derived measure to determine the probability of wakefulness for each minute revealed a novel metric to track changes in daytime sleepiness, which were consistent with the θ/α ratio, a known biomarker of drowsiness. The slopes of line-fits to both the log-transformed sleepiness score or log-transformed θ/α ratio correlated well to (inverse) MWT SOL for NT1 (R = 0.93 and R = 0.83, respectively) and NT2 (R = 0.97 and R = 0.84, respectively), suggesting that individuals with narcolepsy have increased sleepiness immediately after lights-off. These analyses demonstrate that novel EEG-based biomarkers can augment SOL as predictors of sleepiness and its response to treatment and provide a novel framework for the analysis of wake EEG in hypersomnia disorders.

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

Objectives: 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. Methods: 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. Results: 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). Conclusions: 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.

An Unusual Cause of Increasing Excessive Daytime Sleepiness in a CPAP-treated Obstructive Sleep Apnea Patient.

The onset of narcolepsy type 1 (NT1) occurs after 50 years of age in less than 2% of the cases. In older adults, the diagnosis is often delayed due to the presence of neurological degenerative and inflammatory comorbidities and overlapping sleep disorders. We report the case of a 63-year-old man with a 5-year history of excessive daytime sleepiness (EDS) and a 2-year diagnosis of obstructive sleep apnea syndrome (OSAS), which. OSAS was confirmed by respiratory polygraphy that showed an apnea-hypopnea index (AHI) of 71 events/hour of sleep associated with significant nocturnal hypoxemia (lowest oxygen saturation: 53%), which lead to the initiation of continuous positive airway pressure (CPAP) treatment. Cognitive complaints, unexplained spells of dizziness, and lack of improvement in EDS with CPAP led to further diagnostic investigation of infectious, inflammatory, and neurodegenerative disorders. Low hypocretin levels in the cerebrospinal fluid (CSF) confirmed the diagnosis of NT1, and the patient's symptoms improved with the treatment with pitolisant. Though exceptional in older adults, NT1 should be suspected in the presence of atypical EDS with neurological complaints, unexplained dizzy spells, or OSAS that resists the CPAP treatment. Low levels of hypocretin in the CSF are highly specific and rule out other neurological and sleep disorders.

Obstructive sleep apnea may induce sleep-wake cycle dysregulation: An actigraphic study.

Obstructive sleep apnea (OSA) causes sleep fragmentation and excessive daytime sleepiness (EDS). OSA has been hypothesised to impair the circadian sleep-wake rhythm, and this dysregulation may in turn exacerbate OSA-related diurnal symptoms. Hence, this study aimed to assess the sleep-wake rhythm through actigraphy, and its relationship with EDS in patients with untreated OSA. Patients with moderate-severe OSA (apnea-hypopnea index ≥15/h) and healthy controls (HC) underwent a 7-day actigraphic recording to evaluate the sleep-wake rhythm. Participants underwent a sleep medicine visit and completed the self-report questionnaires assessing EDS (Epworth sleepiness scale, ESS), sleep quality (Pittsburgh sleep quality index, PSQI), and chronotype (morningness-eveningness questionnaire, MEQ). This study included 48 OSA patients (72.9% males; mean age 56.48 ± 9.53 years), and 22 HC (45.5% males; mean age 53.73 ± 18.20 years). After controlling for MEQ scores, actigraphic recording showed that the OSA patients present a lower sleep time (p = 0.011) and sleep efficiency (p = 0.013), as well as a higher sleep latency (p = 0.047), and sleep fragmentation (p = 0.029) than the HC. Regarding the sleep-wake rhythm actigraphic parameters, the OSA patients showed a lower average activity during the most active 10-hour period (p = 0.036) and a lower day/night activity ratio (p = 0.007) than the HC. Patients with OSA also reported higher ESS (p = 0.005) and PSQI scores (p < 0.001), and a chronotype less of morning type (p = 0.027) than the HC. In conclusion, this study documented a reduced diurnal motor activity and lower day/night activity ratio in OSA patients than in controls. These findings suggest a dysregulation of the circadian sleep-wake rhythm in OSA, possibly related to both EDS and reduced daytime motor activity.

The Changed Nocturnal Sleep Structure and Higher Anxiety, Depression, and Fatigue in Patients with Narcolepsy Type 1.

Purpose: This study aimed to evaluate nocturnal sleep structure and anxiety, depression, and fatigue in patients with narcolepsy type 1 (NT1). Methods: Thirty NT1 patients and thirty-five healthy controls were enrolled and evaluated using the Epworth sleepiness scale (ESS), Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Fatigue Severity Scale (FSS), polysomnography, multiple sleep latency test, and brain function state monitoring. Statistical analyses were performed using SPSS Statistics for Windows, version 23.0. Benjamini-Hochberg correction was performed to control the false discovery rate. Results: Apart from typical clinical manifestations, patients with NT1 are prone to comorbidities such as nocturnal sleep disorders, anxiety, depression, and fatigue. Compared with the control group, patients with NT1 exhibited abnormal sleep structure, including increased total sleep time (P adj=0.007), decreased sleep efficiency (P adj=0.002), shortening of sleep onset latency (P adj<0.001), elevated wake after sleep onset (P adj=0.002), increased N1% (P adj=0.006), and reduced N2%, N3%, and REM% (P adj=0.007, P adj<0.001, P adj=0.013). Thirty-seven percent of patients had moderate to severe obstructive sleep apnea-hypopnea syndrome. And sixty percent of patients were complicated with REM sleep without atonia. Patients with NT1 displayed increased anxiety propensity (P adj<0.001), and increased brain fatigue (P adj=0.020) in brain function state monitoring. FSS scores were positively correlated with brain fatigue (P adj<0.001) and mean sleep latency was inversely correlated with FSS scores and brain fatigue (P adj=0.013, P adj=0.029). Additionally, ESS scores and brain fatigue decreased after 3 months of therapy (P=0.012, P=0.030). Conclusion: NT1 patients had abnormal nocturnal sleep structures, who showed increased anxiety, depression, and fatigue. Excessive daytime sleepiness and fatigue improved after 3 months of treatment with methylphenidate hydrochloride prolonged-release tablets in combination with venlafaxine.

Sleep Habits and Disturbances Among Tunisian Adults: A Cross-Sectional Online Survey.

Background: Sleep quality and disturbances have gained heightened scholarly attention due to their well-established association with both mental and physical health. This study aims to assess sleep-wake habits and disturbances in Tunisian adults. Methodology: This cross-sectional study employed an online questionnaire to assess 3074 adults ≥ 18 years. Primary outcomes, including sleep quality, daytime vigilance, mood, and subjective well-being, were measured using validated questionnaires [the Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI), the Epworth Sleepiness Scale (ESS), the Patient Health Questionnaire (PHQ)-9, and the World Health Organisation-Five Well-Being Index (WHO-5)]. Results: Less than two-thirds (n= 1941; 63.1%) of participants were females and the mean age was 36.25±13.56. The prevalence of poor sleep quality was 53.8% when defined as a PSQI > 5. The prevalence of insomnia, short sleep duration, long sleep duration, EDS, severe depression, and poor well-being were 14.5%, 34.7%, 12.3%, 32.4%, 7.4%, and 40.2%, respectively. Some factors were associated with an increased likelihood of poor sleep quality, including female gender, chronic hypnotics use, internet use close to bedtime, daily time spent on the internet >3 hours, smoking, university- level education, nocturnal work, severe depression, impaired well-being status, insomnia, and EDS. Conclusion: The high prevalence of sleep-wake disturbances among Tunisian adults emphasizes the need for an appropriate screening strategy for high-risk groups. Individuals with unhealthy habits and routines were significantly more likely to experience these kinds of disturbances. Consequently, there is a pressing need for educational programs on sleep to foster healthier sleep patterns.

Globus sensation in obstructive sleep apnea patients; A cross-sectional study of 120 patients.

PURPOSE: Globus pharyngeus (GP) is a common complaint in many disciplines, especially otolaryngology. Pharyngeal symptoms and abnormalities, including GP, are frequent in obstructive sleep apnea (OSA) patients. This study aims to investigate globus sensation in non-operated OSA patients. METHODS: After translation and validation, the Laryngopharyngeal Measure of Perceived Sensation (LUMP) was administered to 120 untreated OSA patients. All patients underwent polysomnography and thorough physical examination. The association between LUMP scores and OSA measures was evaluated. RESULTS: LUMP score had a significant correlation with the Epworth Sleepiness Scale (ESS) (Spearman's ρ = 0.269, p = 0.004), and BMI (Spearman's ρ = 0.249, p = 0.007), the anatomical position of the tongue (ρ = -0.191, p = 0.04) and the Friedman grade of tonsils (ρ = 0.241, p = 0.01). It correlated with SpO2 nadir, though it did not reach statistical significance. CONCLUSION: The results of our study depict a relationship between a self-report measure of globus sensation and daytime sleepiness, BMI and tonsil size. In the absence of a direct relationship between OSA severity parameters and GP, we hypothesize a role for shared comorbidities and anatomical phenotypes. The increased frequency of GP in OSA patients should be considered when evaluating the complications of surgical interventions in these patients.

Revealing inconsistencies between Epworth scores and apnea-hypopnea index when evaluating obstructive sleep apnea severity: a clinical retrospective chart review.

Introduction: A common practice in clinical settings is the use of the Epworth Sleepiness Scale (ESS) and apnea-hypopnea index (AHI) to demonstrate the severity of obstructive sleep apnea (OSA). However, several instances were noted where there were discrepancies in the reported severity between Epworth scores and AHI in our patient sample, prompting an investigation into whether OSA severity as demonstrated by AHI or predicted by ESS quantification of sleepiness is primarily responsible for inconsistencies. Methods: Discrepancies were examined between Epworth scores and AHI by categorizing patients into two categories of inconsistency: individuals with either ESS < 10 and AHI ≥ 15 events/h or ESS ≥ 10 and AHI < 15 events/h. The potential influence of sex on these categories was addressed by assessing whether a significant difference was present between mean Epworth scores and AHI values for men and women in the sample. We investigated BMI both by itself as its own respective variable and with respect to the sex of the individuals, along with a consideration into the role of anxiety. Furthermore, we tested anxiety with respect to sex. Results: In the first category of inconsistency the average ESS of 5.27 ± 0.33 suggests a normal level of daytime sleepiness. However, this contrasts with the average AHI of 32.26 ± 1.82 events/h which is indicative of severe OSA. In the second category the average ESS of 14.29 ± 0.47 suggests severe daytime sleepiness, contradicting the average AHI of 9.16 ± 0.44 events/h which only indicates mild OSA. Sex, BMI (both as a variable by itself and with respect to sex), and anxiety (both as a variable by itself and with respect to sex) contributed to observed inconsistencies. Conclusion: The findings of our study substantiate our hypothesis that Epworth scores should be de-emphasized in the assessment of OSA and a greater importance should be placed on measures like AHI. While Epworth scores offer insights into patients' daytime sleepiness levels and the perceived severity of their OSA, the inconsistencies highlighted in our results when compared to AHI-based OSA severity underscore their potential inaccuracy. Caution is advised when utilizing Epworth scores for evaluating OSA severity in clinical settings.

The effect of exercise on daytime sleepiness in healthy individuals.

The effects of exercise on daytime sleepiness remain unclear, with conflicting findings in the literature. We reviewed the existing literature on the relationship between exercise and daytime sleepiness in healthy individuals. We conducted a systematic search of PubMed and Google Scholar (1991 to present) for interventional studies that used the Epworth Sleepiness Scale (ESS) to measure change in self-reported degree of sleepiness before and after an exercise regimen. Seven studies were included in the review. Exercise significantly improved self-reported sleepiness after the intervention, as measured by ESS, in 4 of the 7 studies; the other studies indicated no significant difference. Additionally, exercise interventions enhanced sleep quality, evident in lower Pittsburgh Sleep Quality Index scores in 4 of 5 studies, thus indirectly alleviating daytime sleepiness. Results were variable and influenced by exercise type, intensity, and timing, as well as participant adherence. Factors that may contribute to the effect of exercise on daytime sleepiness include improved sleep quality, regulation of circadian rhythms, neurotransmitter release, stress reduction, increased energy levels, and weight reduction. This review suggests benefits of exercise for reducing daytime sleepiness and improving sleep quality. Future research is essential for assessing the mechanisms of these effects.

Effect of Third Molar Surgery on Sleep Health Parameters of Young Adults: An Observational Study.

Background and Objectives: The role of surgical extraction of the third molar in patients' sleep quality remains unclear, although it is one of the most common oral surgical procedures. The aim of this study is to assess the changes in patient-reported sleep health outcomes after third molar surgery and to investigate any associations between sleep parameters and post-extraction pain. Materials and Methods: Young adults without known comorbidities who were in need of mandibular third molar surgical extraction were included. All participants completed a sleep diary, the Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI) and Athens Insomnia Scale (AIS) questionnaires, which were used to assess sleep habits, daytime sleepiness, sleep quality and insomnia severity one week before and after extraction. In addition, a visual analog scale was completed postoperatively to assess the perception of pain. Results: Out of 75 patients who completed the study protocol, 32 (42.7%) were males and 43 (57.3%) were females, with a mean age of 24.01 (±3.43) years. Postoperatively, statistically significant higher scores were observed for PSQI [4.85 (±2.32) before vs. 5.39 (±2.75) after, p = 0.041], AIS [5.56 (±3.23) before vs. 6.91 (±4.06) after, p < 0.001] and average weekly number of nocturnal awakenings [2.01 (±3.72) before vs. 4.19 (±5.20) after, p < 0.001] but not for ESS, average weekly sleep duration and average weekly sleep onset latency. Pain perception was increased in patients who slept worse on almost all seven postoperative days, although this did not reach statistical significance. Conclusions: Third molar surgery impacts sleep quality and insomnia severity in the first week after extraction, while there is no effect on daytime sleepiness. The worsening of subjective sleep symptoms after extraction may be associated with an increased perception of pain.

Age modulates the predictive value of self-reported sleepiness for all-cause mortality risk: insights from a comprehensive national database of veterans.

STUDY OBJECTIVES: Excessive daytime sleepiness (EDS) is prevalent and overwhelmingly stems from disturbed sleep. We hypothesized that age modulates the association between EDS and increased all-cause mortality. METHODS: We utilized the Veterans' Health Administration data from 1999-2022. We enrolled participants with sleep related ICD9/10 codes or sleep services. A natural language processing (NLP) pipeline was developed and validated to extract the Epworth Sleepiness Scale (ESS) as a self-reported tool to measure EDS from physician progress notes. The NLP's accuracy was assessed through manual annotation of 470 notes. Participants were categorized into Normal-ESS, n-ESS, (ESS 0-10) and high-ESS, h-ESS, (ESS 11-24). We created three age groups: < 50 years; 50 to < 65 years; and ≥ 65 years. The adjusted odds ratio (aOR) of mortality was calculated for age, BMI, sex, race, ethnicity, and the Charlson Comorbidity Index (CCI), using n-ESS as the reference. Subsequently, we conducted age stratified analysis. RESULTS: The first ESS records were extracted from 423,087 veterans with a mean age of 54.8 (±14.6), mean BMI of 32.6 (±6.2), and 90.5% male. The aOR across all ages was 17% higher (1.15,1.19) in the h-ESS category. The aORs only became statistically significant for individuals aged ≥ 50 years in the h-ESS compared to the n-ESS category (< 50 years: 1.02 [0.96,1.08], 50 to < 65 years 1.13[1.10,1.16]; ≥ 65 years: 1.25 [1.21-1.28]). CONCLUSIONS: High ESS, predicted increased mortality only in participants aged 50 and older. Further research is required to identify this differential behavior in relation to age.