Effectiveness and optimization of low-sodium oxybate in participants with narcolepsy switching from a high-sodium oxybate: data from the SEGUE study.

STUDY OBJECTIVES: Low-sodium oxybate (LXB; calcium, magnesium, potassium, and sodium oxybates; Xywav) contains the same active moiety as high-sodium oxybates (sodium oxybate [SXB; Xyrem] and fixed-dose sodium oxybate [Lumryz]), with 92% less sodium, and is approved in the US for treatment of cataplexy or excessive daytime sleepiness in patients 7 years of age and older with narcolepsy, and idiopathic hypersomnia in adults. Patients with narcolepsy have increased cardiovascular risk relative to people without narcolepsy. LXB's lower sodium content is recognized by the US FDA in the narcolepsy population as clinically meaningful in reducing cardiovascular morbidity compared with high-sodium oxybates. The Substitution of Equal Grams of Uninterrupted Xyrem to Xywav (SEGUE) study (NCT04794491) examined the transition experience of patients with narcolepsy switching from SXB to LXB. METHODS: Eligible participants were aged 18 to 80 years with narcolepsy type 1 or 2 on a stable SXB dose/regimen. After 2 weeks, participants transitioned gram-per-gram to LXB for 6 weeks, with opportunity for subsequent titration. Assessments included the Epworth Sleepiness Scale (ESS), Patient Global Impression of Change (PGIc), ease of switching medication scale (EOSMS), and forced preference questionnaire (FPQ). RESULTS: The study enrolled 62 participants at baseline; 60 transitioned to LXB and 54 completed the study. At baseline and end of the LXB intervention/early discontinuation, respectively, mean total doses were 8.0 and 8.0 g/night; mean ESS scores were 9.4 and 8.8. Most participants reported improvement (45%) or no change (48%) in narcolepsy symptoms on the PGIc, reported the transition to LXB was "easy" (easy, extremely easy, not difficult at all; 93%) on the EOSMS, and preferred LXB compared with SXB (79%) on the FPQ, most commonly due to the lower sodium content. CONCLUSIONS: Most participants switched from SXB to LXB with minimal modifications of dose/regimen and reported the transition process was easy. Effectiveness of oxybate treatment was maintained on LXB, and most participants preferred LXB to SXB. No new safety or tolerability issues were identified. CLINICALTRIALREGISTRATION: Registry: ClinicalTrials.gov; Name: An Interventional Safety Switch Study (Segue Study) of XYWAV in Narcolepsy; URL: https://classic.clinicaltrials.gov/ct2/show/NCT04794491; Identifier: NCT04794491.

Hypersomnolence is associated with non-remission of major depressive disorder.

OBJECTIVE: This study aimed to investigate the prevalence, clinical correlates and the relationship between hypersomnolence and clinical outcomes in a cohort of MDD patients. METHODS: This is a cross-sectional study of a MDD cohort in an university-affiliated adult psychiatric outpatient clinic. The diagnosis of MDD and severity of depression were ascertained by the clinician with structured clinical interviews. Each participant completed the Epworth Sleepiness Scale (ESS), 1-week sleep diary, and a battery of questionnaires that assessed usual sleep pattern, insomnia, anxiety, depression, fatigue and circadian preference. Hypersomnolence was defined as ESS score ≥14 among those reported ≥7 h of nighttime sleep. Univariate analysis and multiple logistic regression were used to analyze the relationships between the variables. RESULTS: Among 252 recruited subjects, 11 % met the criteria of hypersomnolence as defined by a ESS score ≥14 despite ≥7 h of nighttime sleep. Patients with hypersomnolence had greater depression ratings, higher rates of suicidal ideations over the past week, and more likely to meet a diagnosis of atypical depression (p < 0.05) than those without hypersomnolence. Step-wise logistic regression demonstrated that hypersomnolence was an independent risk factor associated with a 3-fold increase in the risk of depression non-remission (adjusted OR 3.13; 95 % CI 1.10-8.95; p = 0.034). CONCLUSION: Patients with hypersomnolence despite seemingly adequate sleep represent a subgroup of MDD patients who have a more severe illness profile with higher non-remission rate and suicidality. The findings highlight the importance of addressing both sleep and mood symptoms in the management of MDD.

Sleep profiles in epilepsy patients undergoing monotherapy and polytherapy: A comparative cross-sectional study.

OBJECTIVE: Sleep disturbances commonly reported among epilepsy patients have a reciprocal relationship with the condition; While epilepsy and anti-seizure medications (ASMs) can disrupt sleep structure, disturbed sleep can also exacerbate the frequency of seizures. This study explored subjective sleep disturbances and compared sleep profiles in patients who underwent ASM monotherapy and polytherapy. METHODS: We enrolled 176 epilepsy patients who completed a structured questionnaire containing demographic and clinical information and the Persian versions of the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), and Patient Health Questionnaire-9 (PHQ-9) to evaluate sleep quality, insomnia, excessive daytime sleepiness (EDS), and depressive symptoms, respectively. Chi-square and Mann-Whitney U tests were employed to analyze the association between variables, and logistic regression analysis was conducted to identify factors predicting sleep disturbances. RESULTS: Comparative analysis of mono/polytherapy groups revealed a significantly higher prevalence of insomnia and EDS among patients on polytherapy compared to monotherapy. However, no significant difference was found in sleep quality between the two groups. Logistic regression analysis revealed that a depressive mood serves as a robust predictor for sleep issues, whereas treatment type did not emerge as an independent predictor of sleep disturbances. CONCLUSION: Our findings suggest that an increased number of ASMs does not inherently result in a higher incidence of sleep issues. Therefore, multiple ASMs may be prescribed when necessary to achieve improved seizure control. Furthermore, this study underscores the importance of comprehensive management that addresses seizure control and treating affective symptoms in individuals with epilepsy.

Excessive daytime sleepiness is associated with relative delta frequency power among patients with mild OSA.

Background: Excessive daytime sleepiness (EDS) is a cause of low quality of life among obstructive sleep apnoea (OSA) patients. Current methods of assessing and predicting EDS are limited due to time constraints or differences in subjective experience and scoring. Electroencephalogram (EEG) power spectral densities (PSDs) have shown differences between OSA and non-OSA patients, and fatigued and non-fatigued patients. Therefore, polysomnographic EEG PSDs may be useful to assess the extent of EDS among patients with OSA. Methods: Patients presenting to Israel Loewenstein hospital reporting daytime sleepiness who recorded mild OSA on polysomnography and undertook a multiple sleep latency test. Alpha, beta, and delta relative powers were assessed between patients categorized as non-sleepy (mean sleep latency (MSL) ≥10 min) and sleepy (MSL <10 min). Results: 139 patients (74% male) were included for analysis. 73 (53%) were categorized as sleepy (median MSL 6.5 min). There were no significant differences in demographics or polysomnographic parameters between sleepy and non-sleepy groups. In multivariate analysis, increasing relative delta frequency power was associated with increased odds of sleepiness (OR 1.025 (95% CI 1.024-1.026)), while relative alpha and beta powers were associated with decreased odds. The effect size of delta PSD on sleepiness was significantly greater than that of either alpha or beta frequencies. Conclusion: Delta PSD during polysomnography is significantly associated with a greater degree of objective daytime sleepiness among patients with mild OSA. Further research is needed to corroborate our findings and identify the direction of potential causal correlation between delta PSD and EDS.

Real-world impact of continuous positive airway pressure on sleepiness in patients with obstructive sleep apnea in a national registry.

OBJECTIVE: Excessive daytime sleepiness (EDS) persists in some patients with obstructive sleep apnea (OSA) despite continuous positive airway pressure (CPAP) treatment. This study characterized response to CPAP and factors associated with residual EDS. METHODS: Danish National Patient Registry data were analyzed. Patients with OSA diagnosis (1994-2016), Epworth Sleepiness Scale (ESS) scores and apnea-hypopnea index recorded before beginning CPAP (baseline) and after 1-13 months of CPAP use, and CPAP adherence were included. Odds ratios (OR) for residual EDS after CPAP treatment were estimated using multivariate logistic regression. RESULTS: Of 1174 patients (mean age, 57 years; 75.5% male), 41.1% had baseline EDS (mild, 13.2%; moderate, 14.0%; severe, 13.9%); 58.9% did not. After CPAP treatment, follow-up mean ESS scores were normal (≤10) for all baseline EDS subgroups; however, 15.6% (n = 183) of patients had residual EDS (mild, 6.7%; moderate, 5.5%; severe, 3.4%). Odds of residual EDS were higher for patients with mild (OR, 5.2; 95% confidence interval [CI], 3.2-8.6), moderate (OR, 4.5; 95% CI, 2.7-7.4), and severe (OR, 13.0; 95% CI, 8.0-21.2) EDS at baseline compared with those with normal daytime sleepiness at baseline. Patients adherent with CPAP use were 38.2% less likely to have residual EDS compared with nonadherent patients (OR, 0.62; 95% CI, 0.43-0.88). CONCLUSIONS: EDS was common in this cohort of Danish patients with OSA. Baseline EDS severity predicted higher odds of residual EDS. After CPAP treatment, adherence was associated with reduced odds of residual EDS, but EDS persisted in a subgroup of patients.

Evaluation of daytime sleepiness and insomnia symptoms in OSA patients with a characterization of symptom-defined phenotypes and their involvement in depression comorbidity-a cross-sectional clinical study.

Introduction: Recent research highlights the significance of insomnia and sleepiness, shifting from obstructive sleep apnea (OSA) severity and sleep structure, in defining OSA phenotypes. Objectives: This study aimed to characterize insomnia and sleepiness associated with OSA phenotypes and assess their involvement in depression symptoms (DS) in OSA. Materials and methods: This cross-sectional, clinical study included 181 participants who underwent polysomnography (PSG) and filled out questionnaires, including the Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and Beck Depression Index (BDI). They were categorized into phenotypes: insomnia-sleepiness (I + S; ESS ≥ 11; ISI ≥ 15; n = 20), sleepiness (S; ESS ≥ 11; ISI < 15; n = 22), insomnia (I; ESS < 11; ISI ≥ 15), and asymptomatic (A; ESS < 11; ISI<15; n=55). Results: A linear regression model for the BDI score (R2 = 0.357, p < 0.001) included ISI score and subjective-to-objective sleep latency ratio. The ISI score was a predictive factor for mild and moderate DS [OR = 1.23 (95% CI: 1.09-1.38), p < 0.001 and OR = 1.39 (95% CI: 1.13-1.72), p = 0.002]. The I and I + S phenotypes are characterized by higher BDI scores (p < 0.001 and p = 0.02), longer subjective sleep latency (p = 0.008 and p = 0.04), and shorter subjective total sleep time (TST; p = 0.049 and p = 0.006) compared to A. Furthermore, the I and I + S groups had shorter subjective TST than S (p = 0.03 and p = 0.047). The I and I + S had higher BDI scores than A (p < 0.001 and p = 0.02, respectively) and S (p < 0.001 and p = 0.02, respectively). The I phenotype was associated with the risk of mild and moderate DS (OR = 5.61 (95% CI: 1.91-16.53), p < 0.001 and OR = 9.55 (95% CI: 1.81-50.48), p = 0.008 respectively). Moreover, the I + S phenotype presented an even greater risk for mild DS (OR = 10.29 (95% CI: 2.95-35.85), p < 0.001). Conclusion: Using clinical features for OSA phenotyping holds promise for finding OSA individuals with increased risk for DS occurrence.

Heart Rate Variability Analysis in Obstructive Sleep Apnoea Patients with Daytime Sleepiness.

STUDY OBJECTIVES: Recent studies suggest sleepy patients with OSA are at higher risk for incident cardiovascular disease. This study assessed cardiac autonomic function in sleepy versus non-sleepy patients with obstructive sleep apnoea (OSA) using heart rate variability (HRV) analysis. We hypothesised that HRV profiles of sleepy patients would indicate higher cardiovascular risk. METHODS: Electrocardiograms (ECG) derived from polysomnograms (PSG) collected by the Sydney Sleep Biobank were used to study HRV in groups of sleepy (ESS≥10) and non-sleepy OSA patients (ESS<10). HRV parameters were averaged across available ECG signal during N2 sleep. RESULTS: A total of 421 patients were evaluated, with mean age of 54 (14) years, body mass index (BMI) of 33 (9) kg/m2, apnoea hypopnoea index (AHI) of 21 (28) events/h and, 66% male. The sleepy group consisted of 119 patients, and the non-sleepy group 302 patients. Sleepy patients exhibited lower HRV values for: root mean square successive difference (RMSSD, p= 0.028); total power (TP, p= 0.031); absolute low frequency (LF, p= 0.045); and high frequency (HF, p= 0.010) power compared to Non-Sleepy patients. Sleepy patients with moderate to severe OSA exhibited lower HRV values for: (RMSSD, p= 0.045; TP, p= 0.052) ; absolute LF (p= 0.051); and HF power (p= 0.025). There were no differences in other time and frequency domain HRV markers. CONCLUSIONS: This study shows a trend towards parasympathetic withdrawal in sleepy OSA patients, particularly in moderate to severe cases, lending mechanistic support to the link between the sleepy phenotype and CVD risk in OSA.

Temporal patterns of sleep latency in central hypersomnia and attention deficit hyperactivity disorder: a cluster analysis exploration using Multiple Sleep Latency Test.

Introduction: Excessive daytime sleepiness (EDS) is a crucial symptom that diminishes the quality of life. The primary causes of EDS are central hypersomnia, including narcolepsy type 1 (NT1), type 2 (NT2), and idiopathic hypersomnia (IH). EDS is often associated with other psychiatric disorders, particularly attention deficit hyperactivity disorder (ADHD). The Multiple Sleep Latency Test (MSLT) is the standard assessment tool for EDS. Although the MSLT yields numerous parameters, most are not employed in clinical practice. In this study, we leveraged novel MSLT parameters to discern central hypersomnia and ADHD presence. Our analysis focused on sleep latency variability and employed cluster analysis to identify unique temporal patterns. Methods: We examined the MSLT data from 333 patients; of these, 200 (aged 14-54, mean: 24.9 ± 8.1, years; 114 females) met the inclusion criteria comprising comprehensive data an Apnea-Hypopnea Index (AHI) below 5, and no prior diagnosis of sleep apnea syndrome. We employed a time-course cluster approach that specifically targeted sleep latency variability during the MSLT. Results: Considering both multiple clustering quality evaluations and the study's objectives, we identified 9 distinct clusters. Clusters 1 and 3 predominantly had MSLT-positive results; Cluster 2 was entirely MSLT-positive; Clusters 4, 5, 6, 8, and 9 were mainly MSLT-negative; and Cluster 7 had mixed results. The diagnosis of hypersomnia varied notably among Clusters 1, 2, 3, and 7, with Cluster 2 demonstrating a pronounced tendency towards NT1 and NT2 diagnoses (p < 0.005). However, no significant correlation was observed between ADHD diagnoses and specific sleep latency patterns in any cluster. Conclusions: Our study highlights the value of time-course clustering in understanding sleep latency patterns of patients with central hypersomnia.

Health Behaviors and Sleep Quality in Portuguese Adolescents: The Moderating Role of Age and Gender / [Los comportamientos relativos a la salud y la calidad del sueño en los adolescentes portugueses: el efecto moderador de la edad y del sexo]

Background: Adolescence is marked by changes such as sleep and health behaviors. This study analyzed the relationships and differences on excessive daytime sleepiness, anxiety and depression symptoms, sleep habits, family sleep behaviors, sleep quality and health behaviors in adolescents including the moderating effect of adolescents’ age and gender. Method: The sample included 272 adolescents, 58% being female. Results: Girls and older adolescents reported worse sleep quality. Older adolescents reported healthier behaviors. Female gender, having a family member with sleep quality problems, coffee intake, anxiety and depression symptoms, daytime sleepiness, and family sleep behaviors contributed to worse sleep quality. Father’s alcohol consumption, anxiety and depression symptoms and family sleep behaviors contributed to adolescents’ sleep habits. Being a girl and an older adolescent were moderators in the relationship between the presence of excessive daytime sleepiness and worse sleep quality. Conclusions: Findings highlight the importance of health promotion programs regarding sleep quality.(AU)

Antecedentes: La adolescencia está marcada por los cambios en el sueño y comportamientos referidos a la salud. Este estudio analizó las relaciones y diferencias en la somnolencia diurna excesiva, los síntomas de ansiedad y depresión, los hábitos de sueño, los comportamientos de sueño familiares, la calidad del sueño, los comportamientos de salud en adolescentes, incluido el efecto moderador de la edad y el sexo de los adolescentes. Método: La muestra de este estudio estaba compuesta por 272 adolescentes, siendo el 58% de sexo femenino. Resultados: Las niñas y los adolescentes mayores indicaron una peor calidad del sueño. Los adolescentes mayores manifestaron comportamientos más saludables. Ser de sexo femenino, tener un familiar con problemas de sueño, consumir café, tener síntomas de ansiedad y depresión, así como somnolencia diurna y conductas de sueño familiares se asocian con una peor calidad del sueño. El consumo de alcohol del padre, los síntomas de ansiedad y depresión y las conductas de sueño familiares se asocian con los hábitos de sueño de los adolescentes. Ser niña y adolescente de mayor edad modera la relación entre la presencia de somnolencia diurna excesiva y peor calidad del sueño. Conclusiones: Los resultados resaltan la importancia de los programas de promoción de la salud en relación con la calidad del sueño.(AU)

Effect of shift work on excessive daytime sleepiness in female nurses: results from the Japan nurses' health study.

We investigated the relationship between shift work and excessive daytime sleepiness (EDS) among participants in the Japan Nurses' Health Study (JNHS). Responses of 9,728 female nurses to the 6th follow-up questionnaire were cross-sectionally analyzed. EDS was defined as an Epworth Sleepiness Scale score ≥11. EDS-associated factors were evaluated using Poisson regression analysis after adjustment for multiple confounders. Of the participants (mean age, 52.2 ± 8.0 yr), 28.7% were engaged in shift work, and the overall prevalence of EDS was 24.6%. EDS-associated factors were investigated separately in women aged <40 yr (n=250), 40-59 yr (n=7,467), and ≥60 yr (n=2,011). Current engagement in shift work (prevalence ratio: 1.92 [95% confidence interval: 1.20-3.06], compared with no experience of shift work) and obesity (2.08 [1.11-3.88] for BMI ≥30 and 1.39 [1.02-1.90] for BMI of 25.0-30.0, compared with BMI of 18.5-25.0) showed an independent association with EDS in women aged ≥60 yr. The effect of shift work on EDS in female nurses differed by age, as shift work and obesity contributed to EDS only in older participants. Shift work should be assigned after full consideration of age, sleep, and health status to minimize medical errors.

Prevalence of excessive daytime sleepiness and its association with daily life factors in Japanese first-year university students.

As lifestyles have shifted to favor nighttime activities, daytime sleepiness and sleep-related problems have become increasingly common in Japan. Excessive daytime sleepiness (EDS) is an adverse consequence of sleep loss and an important public health concern. EDS may cause academic difficulties, behavioral abnormalities, and psychological dysfunction; therefore, it is a particularly important issue among university students. We conducted a cross-sectional study to investigate the prevalence of EDS and its associated lifestyle factors among Japanese university students. A questionnaire was completed by 1470 first-year university students, aged 19.0 (± 1.0) years. Using the questionnaire, we collected information on (1) demographic variables, (2) lifestyle variables, and (3) sleep habits and daytime sleepiness. Daytime sleepiness was measured using the Japanese version of the Epworth Sleepiness Scale, a frequently used subjective scale for assessing sleepiness. The overall prevalence of EDS was 57% (53% in men and 61% in women). Multivariate logistic regression analysis revealed that the following factors were associated with EDS: female sex, exercise habits, long commuting times, later wake-up times, and shorter sleep duration. Given that more than 50% of first-year university students reported having EDS, interventions should be considered to decrease its risk, including educational programs that provide strategies to extend sleep duration and delay wake-up time. Such strategies may also be valuable for students with other potential risk factors, such as exercise habits or long commute times, that are associated with EDS.

Corrigendum: Moderate-to-high risk of obstructive sleep apnea with excessive daytime sleepiness is associated with postoperative neurocognitive disorders: a prospective one-year follow-up cohort study.

[This corrects the article DOI: 10.3389/fnins.2023.1161279.].

Objective evaluation of excessive daytime sleepiness.

Excessive daytime sleepiness (EDS) is multifactorial. It combines, among other things, an excessive propensity to fall asleep ("physiological sleepiness") and a continuous non-imperative sleepiness (or drowsiness/hypo-arousal) leading to difficulties remaining awake and maintaining sustained attention and vigilance over the long term ("manifest sleepiness"). There is no stand-alone biological measure of EDS. EDS measures can either capture the severity of physiological sleepiness, which corresponds to the propensity to fall asleep, or the severity of manifest sleepiness, which corresponds to behavioral consequences of sleepiness and reduced vigilance. Neuropsychological tests (The psychomotor vigilance task (PVT), Oxford Sleep Resistance Test (OSLeR), Sustained Attention to Response Task (SART)) explore manifest sleepiness through several sustained attention tests but the lack of normative values and standardized protocols make the results difficult to interpret and use in clinical practice. Neurophysiological tests explore the two main aspects of EDS, i.e. the propensity to fall asleep (Multiple sleep latency test, MSLT) and the capacity to remain awake (Maintenance of wakefulness test, MWT). The MSLT and the MWT are widely used in clinical practice. The MSLT is recognized as the "gold standard" test for measuring the severity of the propensity to fall asleep and it is a diagnostic criterion for narcolepsy. The MWT measures the ability to stay awake. The MWT is not a diagnostic test as it is recommended only to evaluate the evolution of EDS and efficacy of EDS treatment. Even if some efforts to standardize the protocols for administration of these tests have been ongoing, MSLT and MWT have numerous limitations: age effect, floor or ceiling effects, binding protocol, no normal or cutoff value (or determined in small samples), and no or low test-retest values in some pathologies. Moreover, the recommended electrophysiological set-up and the determination of sleep onset using the 30­sec epochs scoring rule show some limitations. New, more precise neurophysiological techniques should aim to detect very brief periods of physiological sleepiness and, in the future, the brain local phenomenon of sleepiness likely to underpin drowsiness, which could be called "physiological drowsiness".

Polysomnographic characteristics of excessive daytime sleepiness phenotypes in obstructive sleep apnea: results from the international sleep apnea global interdisciplinary consortium.

STUDY OBJECTIVES: Excessive daytime sleepiness (EDS) is a major symptom of obstructive sleep apnea (OSA). Traditional polysomnographic (PSG) measures only partially explain EDS in OSA. This study analyzed traditional and novel PSG characteristics of two different measures of EDS among patients with OSA. METHODS: Sleepiness was assessed using the Epworth Sleepiness Scale (>10 points defined as "risk of dozing") and a measure of general sleepiness (feeling sleepy ≥ 3 times/week defined as "feeling sleepy"). Four sleepiness phenotypes were identified: "non-sleepy," "risk of dozing only," "feeling sleepy only," and "both at risk of dozing and feeling sleepy." RESULTS: Altogether, 2083 patients with OSA (69% male) with an apnea-hypopnea index (AHI) ≥ 5 events/hour were studied; 46% were "non-sleepy," 26% at "risk of dozing only," 7% were "feeling sleepy only," and 21% reported both. The two phenotypes at "risk of dozing" had higher AHI, more severe hypoxemia (as measured by oxygen desaturation index, minimum and average oxygen saturation [SpO2], time spent < 90% SpO2, and hypoxic impacts) and they spent less time awake, had shorter sleep latency, and higher heart rate response to arousals than "non-sleepy" and "feeling sleepy only" phenotypes. While statistically significant, effect sizes were small. Sleep stages, frequency of arousals, wake after sleep onset and limb movement did not differ between sleepiness phenotypes after adjusting for confounders. CONCLUSIONS: In a large international group of patients with OSA, PSG characteristics were weakly associated with EDS. The physiological measures differed among individuals characterized as "risk of dozing" or "non-sleepy," while "feeling sleepy only" did not differ from "non-sleepy" individuals.

Supplement use and its impact on daily life of cancer patients: a cross-sectional study.

PURPOSE: This cross-sectional study aimed to investigate the prevalence and characteristics of supplement usage among cancer patients and explore its potential associations with anxiety, excessive daytime sleepiness, and overall quality of life. METHODS: Cancer patients receiving specific care at Hôtel Dieu de France University Hospital, Beirut, were enrolled between April and June 2023. In face-to-face interviews, participants were asked to complete a questionnaire consisting of sociodemographic information, supplement usage details, and cancer-related variables. Three validated surveys (Epworth Sleepiness Scale, GAD-7, and EORTC-QLQ-C15-PAL) were employed to assess excessive daytime sleepiness, anxiety, and overall quality of life. Statistical analyses, including chi-square tests, t-tests, and multiple regression models, were conducted to examine associations between supplement use and other variables. RESULTS: A total of 202 participants were interviewed. Fifty-two percent reported regular use of supplements following their cancer diagnosis, with vitamin D being the most commonly used supplement. Using multivariate logistic regression, supplement use was associated with being female, having lower educational levels, having a longer duration since cancer diagnosis, and having a poor overall quality of life. The multivariate logistic regression showed no significant correlation between supplement use and excessive daytime sleepiness and anxiety. CONCLUSION: This study highlights a high prevalence of supplement usage among cancer patients in Lebanon, indicating a rising interest in alternative therapies aimed at enhancing quality of life. Larger prospective studies are needed to assess the relation between supplement intake and excessive daytime sleepiness and anxiety and establish clear guidelines pertaining to supplement use in cancer patients.

Effects of childhood obstructive sleep apnea with and without daytime sleepiness on behaviors and emotions.

OBJECTIVE: To investigate the relationship between obstructive sleep apnea (OSA) with and without excessive daytime sleepiness (EDS) and behavioral and emotional outcomes in non-obese prepubertal children. METHODS: This was a retrospective analysis of children aged 5-11 years who presented to our unit for assessment of their sleep-related complaints. All children underwent polysomnography (PSG). They also completed the Pediatric Daytime Sleepiness Scale (PDSS) and a sleep diary. OSA was diagnosed if the obstructive apnea-hypopnea index (OAHI) was ≥1 event/hour. EDS was defined as PDSS >15. Behavioral and emotional outcomes were assessed using the Child Behavioral Checklist (CBCL). RESULTS: Data from 391 children (mean age of 8.6 ± 1.7 years; 67 % male) were analyzed. Seventy children did not have OSA or EDS, 137 had OSA, 50 had reported having EDS but without OSA, and 134 children had both OSA and EDS. There were significantly higher CBCL total problems score in the combined group (61 ± 9) compared to the non-OSA/EDS group (54 ± 10), and the OSA-only group (54 ± 10) (p < 0.001). The presence of EDS was significantly associated with higher CBCL T score and higher odds for clinically significant behavioral problems (T score ≥65) after adjusting for age, sex, BMI z-score and average sleep duration (p < 0.001). CONCLUSION: Excessive daytime sleepiness is an important contributory factor associated with suboptimal behavioral and emotional outcomes in children with OSA.

Self-reported sleep tendency poorly predicts the presence of obstructive sleep apnea in commercial truck drivers.

BACKGROUND AND OBJECTIVES: Drowsy driving increases the risk of motor vehicle crashes in those with untreated obstructive sleep apnea (OSA). Although previous studies indicated that excessive daytime sleepiness (EDS) might not predict OSA, they were not conclusive due to their small study sizes or restricted participants to sleep clinic patients. The overall objective was to determine whether self-reported EDS can be used for case identification of OSA among commercial truck drivers. METHODS: Commercial truck drivers (N = 19,699) were screened for OSA-related symptoms. EDS was determined using the Epworth Sleepiness Scale (ESS) ≥ 11 and all participants completed the home sleep apnea test using a type 4 portable monitor to derive the respiratory event index (REI). Regression analyses were used to characterize the association between EDS and REI. RESULTS: EDS was associated with OSA severity (p for trend <0.001). The sensitivity and specificity values of EDS for identifying moderate-to-severe OSA (REI ≥15 events/hour) were 0.10 and 0.93, respectively, and 0.48 and 0.71 if BMI ≥25 kg/m2 was added. Those using BMI ≥25 kg/m2 with OSA-related signs yielded the best sensitivity and specificity of 0.77 and 0.50, which were not improved by the addition of EDS. CONCLUSIONS: Despite the associations between EDS and OSA severity and between OSA and lethal crash, case-identification of OSA using the ESS in commercial truck drivers is poor. Thus, OSA screening strategy may need a special approach, including a hierarchical combination of screening tools (Swiss Cheese Model approach), and incorporation of home sleep apnea testing.

Excessive daytime sleepiness is associated with increased residual cardiovascular risks among coronary artery disease patients with obstructive sleep apnea.

OBJECTIVE: Excessive daytime sleepiness (EDS) frequently accompanies obstructive sleep apnea (OSA) and may increase cardiovascular risks. The majority of coronary artery disease (CAD) patients receive understandard treatments, it is not clear whether EDS is associated with increased residual cardiovascular risks in CAD patients with OSA. METHOD: This study is a prospective cohort study that included 1215 consecutive CAD patients underwent overnight sleep study with a 3.7 year follow-up. Sleepiness was is determined by the Epworth Sleepiness Scale questionnaire. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE), including cardiovascular death, myocardial infarction, stroke, and heart failure. Kaplan-Meier model and Cox proportional hazards models were used to explore the relationship between residual cardiovascular risks and EDS. RESULT: 1027 cases were eventually enrolled, and a total of 129 patients experienced cardiovascular and cerebrovascular events. Participants with EDS had a higher risk of MACCE compared to those without EDS (17.02% vs. 9.58%, P = 0.005). The presence of EDS is associated with higher incidence of MACCE compared to non-EDS patients (HR 2.833; 95%CI:1.394-5.762; P < 0.001). EDS was significantly associated with increased incidence of MACCE in OSA patients (HR 1.765; 95%CI:1.276-2.543; P = 0.193), while there was no significant association between EDS and cardiovascular risks in non-OSA patients (HR 1.233; 95%CI: 0.893-2.755; P = 0.127). CONCLUSIONS: The existence of EDS may lead to increased cardiovascular risks, EDS is associated with increased cardiovascular risks in CAD patients, especially in patients with OSA.

Prevalence and associated factors of excessive daytime sleepiness in rural older adults: a population-based study.

OBJECTIVE: To investigate the prevalence and associated factors of excessive daytime sleepiness (EDS) among rural-dwelling Chinese older adults. METHODS: We collected data on demographic, epidemiological, and clinical factors via in-person interviews and clinical examinations following a structured questionnaire. The 15-item Geriatric Depression Scale (GDS-15) was used to assess depressive symptoms, the Berlin questionnaire (BQ) to assess obstructive sleep apnea (OSA) risk; and the Epworth Sleepiness Scale (ESS) to assess sleep characteristics. EDS was defined as the total ESS score > 10. RESULTS: This population-based study engaged 4845 participants (age ≥ 65 years, 57.3% female) in the 2018 examination of the Multimodal Interventions to Delay Dementia and Disability in Rural China. The prevalence of EDS was 9.3% in the total sample, 8.3% in females, and 10.6% in males, and the prevalence decreased with advanced age. Logistic regression analysis revealed that EDS was significantly associated with age (multivariable-adjusted odds ratio [OR] = 0.97; 95% confidence interval [CI] 0.95-0.99), female sex (0.53; 0.36-0.77), hypertension (0.68; 0.54-0.85), depressive symptoms (2.68; 2.07-3.46), high OSA risk (2.11; 1.69-2.63), and poor sleep quality (2.12; 1.60-2.82). CONCLUSION: EDS affects nearly one-tenth of rural older adults in China. Older age, female sex, and hypertension were associated with a decreased likelihood of EDS, while depressive symptoms, high OSA risk, and poor sleep quality were correlated with an elevated likelihood of EDS.

Benzodiazepine Consumption, Functionality, Cognition, and Somnolence in Older Adults at a Tertiary Care Psychiatric Hospital in Mexico City.

BACKGROUND: The aging population in Mexico, particularly those aged 60 and above, faces challenges in healthcare, including potentially inappropriate prescriptions of benzodiazepines. Physiological changes in older adults make precise drug prescriptions crucial. OBJECTIVE: This study aims to evaluate and compare functionality, cognition, and daytime somnolence in older adults using benzodiazepines versus non-users. Additionally, it outlines the demographic and clinical characteristics of both groups. METHODS: A cross-sectional study enrolled 162 participants aged 60 and above, categorized as benzodiazepine consumers or non-consumers. Assessment tools included Lawton's Index, Montreal Cognitive Assessment, Epworth Sleepiness Scale, and Benzodiazepine Dependence Questionnaire. Statistical analysis employed t-tests and chi-square tests. RESULTS: Benzodiazepine users (n=81) exhibited lower cognitive scores, increased sleepiness, and reduced daily living activities compared to non-users (n=81). Demographically, BZD users had lower education levels. CONCLUSION: Benzodiazepine use in older adults is associated with cognitive decline, daytime somnolence, and functional limitations, emphasizing the need for cautious prescription practices and continual monitoring. This study contributes insights into the impact of benzodiazepines on the cognitive health of older adults in Mexico.