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BACKGROUND: Obstructive sleep apnea (OSA) is associated with atrial fibrillation (AF) in cardiac cohorts. Less is known regarding the magnitude of this association in a sleep clinic cohort with vs. without excessive daytime sleepiness (EDS). OBJECTIVES: To explore the association of OSA severity with AF in a sleep clinic cohort stratified by EDS. PATIENTS AND METHODS: All consecutive adults (n = 3814) admitted to the Skaraborg Hospital, Sweden between Jan 2005 and December 2011 were registered in a local database, and the follow-up ended in December 2018. OSA was defined as an apnea-hypopnea index (AHI) ≥5 events/h. Mild OSA was defined as AHI ≥5 & AHI<15 events/h; moderate OSA as AHI ≥15 & AHI<30 events/h; and severe OSA as AHI ≥30 events/h. EDS was defined as an Epworth Sleepiness Scale score ≥11. We conducted cross-sectional analyzes of the prevalent AF across the OSA severity categories and logistic regression analyzes stratified by EDS. RESULTS: In all, 202 patients (5.3%) had AF at baseline, 1.6% in no-OSA, 3.9% in mild OSA, 5.2% in moderate OSA, and 7.6% in severe OSA, respectively (p < 0.001). The stratified analyzes revealed that patients with severe OSA without EDS had an increased risk for prevalent AF (OR 2.54, 95% CI 1.05-6.16; p = 0.039) independent of the confounding factors. CONCLUSIONS: There was an independent dose-response relationship between OSA and prevalent AF among the non-sleepy phenotype in this sleep clinic cohort. Since adherence to OSA treatment is challenging in the absence of EDS, these patients may have increased risk for adverse cardiovascular outcomes.

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Rationale: Recent randomized controlled trials did not show cardiovascular benefits of continuous positive airway pressure (CPAP) in adults with coronary artery disease (CAD) and obstructive sleep apnea (OSA) in intention-to-treat analyses. It has been argued that exclusion of patients with OSA with excessive daytime sleepiness (EDS), who may be most likely to benefit from CPAP treatment, may be a reason for the null results. Objectives: We addressed 1) the effect of concomitant EDS on adverse outcomes in patients with CAD and OSA; and 2) whether the cardiovascular benefit of CPAP adherence differs between individuals with versus without EDS. Methods: This was a secondary analysis of the RICCADSA (Randomized Intervention with CPAP in CAD and Obstructive Sleep Apnea) trial, conducted in Sweden between 2005 and 2013. Data were analyzed from 155 patients with CAD with OSA (apnea-hypopnea index ⩾ 15/h) and EDS (Epworth Sleepiness Scale score ⩾ 10), who were allocated to CPAP and 244 patients without EDS (ESS < 10), who were randomized to CPAP or no CPAP. Patients who were allocated to no CPAP or were nonadherent (CPAP usage < 4 h/night) were compared with adherent patients (CPAP usage ⩾ 4 h/night) at 1-year follow-up. Inverse probability of treatment weighting was applied to mimic randomization of EDS. The primary endpoint was the first event of repeat revascularization, myocardial infarction, stroke, or cardiovascular mortality. Results: The median follow-up was 52.2 months. The incidence of the primary endpoint did not differ significantly between the EDS versus no-EDS groups in the entire cohort. Within the adherent group, patients without EDS had a significantly decreased risk compared with patients with EDS (adjusted hazard ratio, 0.41; 95% confidence interval, 0.20-0.85; P = 0.02). Conclusions: Adverse cardiovascular outcomes did not differ by degrees of EDS for patients with CAD with OSA who were untreated or nonadherent to treatment. CPAP use, at least 4 h/night, was associated with reduced adverse outcomes in participants without EDS. Clinical trial registered with www.clinicaltrials.gov (NCT00519597).

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STUDY OBJECTIVES: Chronic noncancer pain (CP) commonly co-occurs with obstructive sleep apnea (OSA) and may contribute to greater symptom burden. The study aims were to (1) characterize CP among veterans with OSA and (2) examine differences in sleepiness (Epworth Sleepiness Scale), insomnia symptoms (Insomnia Severity Index), and quality of life (Short Form Health Survey-20) in veterans with OSA with or without pre-existing CP. METHODS: An observational, cross-sectional, study of 111 veterans with newly diagnosed, untreated OSA was conducted. Descriptive statistics characterized the sample and comorbid CP outcomes. Regression analyses were performed to investigate associations between self-reported CP and sleep-related symptoms or quality of life while controlling for potential confounders. RESULTS: CP was reported by 69.5% (95% confidence interval: 61.8%, 76.2%) of participants. Having CP was associated with increased Epworth Sleepiness Scale (12.7 ± 5.5 vs 10.2 ± 5.2; P = .021) and Insomnia Severity Index scores (18.1 ± 6.2 vs 13.7 ± 7.4; P = .002), and worse quality of life across all Short Form Health Survey-20 domains. CONCLUSIONS: There is a high prevalence of CP among veterans with OSA and symptom burden is higher in patients with OSA and CP. Future investigations should address symptom response and burden to OSA treatment in comorbid OSA and CP to guide outcome expectancies and residual OSA symptom treatment plans. CITATION: Saconi B, Kuna ST, Polomano RC, Compton PA, Keenan BT, Sawyer AM. Chronic pain is common and worsens daytime sleepiness, insomnia, and quality of life in veterans with obstructive sleep apnea. J Clin Sleep Med. 2023;19(6):1121-1132.

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Narcolepsy is a sleep disorder manifesting symptoms such as excessive daytime sleepiness and often cataplexy, a sudden and involuntary loss of muscle activity during wakefulness. The underlying neuropathological basis of narcolepsy is the loss of orexin neurons from the lateral hypothalamus. To date numerous animal models of narcolepsy have been produced in the laboratory, being invaluable tools for delineating the brain circuits of narcolepsy. This review will examine the evidence regarding the function of the orexin system, and how loss of this wake-promoting system manifests in excessive daytime sleepiness. This review will also outline the brain circuits controlling cataplexy, focusing on the contribution of orexin signaling loss in narcolepsy. Although our understanding of the brain circuits of narcolepsy has made great progress in recent years, much remains to be understood.

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PURPOSE: The causes of residual excessive sleepiness (RES) in patients with post-traumatic stress disorder (PTSD) and obstructive sleep apnea (OSA) are multifactorial and modulated by comorbid conditions. The aim of the present study was to elucidate clinical and polysomnographic determinants of RES in continuous positive airway pressure (CPAP)-adherent OSA veterans with PTSD. METHODS: The study protocol consisted of a retrospective analysis of consecutive cases of patients with PTSD who presented to the Veterans Affairs sleep clinics with adequately treated OSA between June 1, 2017 and October 15, 2021. Based on the Epworth Sleepiness Scale (ESS), patients were categorized into RES (ESS ≥ 11) and no RES (ESS < 11) groups. Demographic and PSG data were subjected to univariate and multivariate analyses to ascertain predictive factors of RES. RESULTS: Out of 171 veterans with PTSD who were adherent to CPAP, 59 (35%) continued to experience RES. The RES group had a decrease in mean ESS score of 1.2 ± 4.5 after CPAP treatment compared with 4.6 ± 4.9 for the no RES group (< 0.001). A dose-response was observed between CPAP use and RES (p = 0.003). Multivariate regression analysis identified higher baseline ESS (OR 1.30; 95% CI 1.16-1.44), greater percentage of time spent in REM sleep (OR 0.91; 95% CI 0.85-0.96), CPAP use less than 6 h (OR 2.82; 95% CI 1.13-7.01), and a positive screen for depression (OR 1.69; 95% CI 1.03-4.72) as independent predictors of RES in patients with PTSD and OSA. CONCLUSION: RES is highly prevalent in patients with PTSD and OSA despite adherence to CPAP and is independently associated with percentage time spent in REM, duration of CPAP utilization, and symptoms of depression.

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In shift work disorder (SWD), disturbed sleep acutely impairs employees' recovery, but little attention has been paid to sleep during longer recovery periods. We examined how holidays affect self-estimated sleep length, sleep debt, and recovery in cases of SWD. Twenty-one shift workers with questionnaire-based SWD and nine reference cases without SWD symptoms completed a questionnaire on recovery and sleep need. They also reported sleep length on two separate occasions: during a work period and after ≥ 2 weeks of holidays. Sleep debt was calculated by subtracting sleep length from sleep need. We used parametric tests to compare the groups and the periods. The groups reported shorter sleep on workdays than during holidays (median difference: SWD group 1.7 h, p<0.001; reference group 1.5 h; p<0.05). The SWD group's self-estimated sleep during holidays increased less above the sleep need (median 0.0 h) than the reference group's sleep (1.0 h, p<0.05). In addition, the SWD group reported good recovery from irregular working hours less often (14%) than the reference group (100%, p<0.001). Although holidays were generally associated with longer sleep estimates than workdays, employees with SWD experienced consistently less efficient recovery than those without SWD.

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The present study aimed to determine the prevalence of, and factors associated with excessive and severe daytime sleepiness in healthcare university students. A cross-sectional university-based study was conducted with 1,779 students from a university located in the Brazilian Midwest State of Goiás, Brazil, in 2018. Daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS) and classified as excessive daytime sleepiness (EDS; cut-off ESS score ≥10) and severe EDS (S-EDS; cut-off ESS score ≥16). Associated factors included sociodemographic, behavioural, academic, nutritional status, and sleep-related and perceived health characteristics. Poisson regression was used for the data analysis. The mean (SD) age of the sample was 22.5 (3.84) years. The prevalence of EDS was 54.4% (95% confidence interval [CI] 51.9-56.1) and S-EDS was 10.0% (95% CI 9.2-11.7). After adjustment, a higher probability of occurrence of EDS was found among women (prevalence ratio [PR] 1.37, 95% CI 1.24-1.53), younger students (PR 1.23, 95% CI 1.07-1.42), those who were studying medicine (PR 1.14, 95% CI 1.02-1.28), with poor sleep quality (PR 1.29, 95% CI 1.17-1.43), and among those who reported constant loss of sleep due to internet use (PR 1.14, 95% CI 1.02-1.27). After adjustment, the highest probability of occurrence of S-EDS was found among women (PR 1.72, 95% CI 1.22-2.43), among those with poor sleep quality (PR 2.17, 95% CI 1.54-3.08), and medical students (PR 1.39, 95% CI 1.01-1.90). In conclusion, there was a high prevalence of daytime sleepiness among healthcare university students, especially among medical students and women.

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O presente artigo busca descrever a qualidade do sono e sonolência excessiva diurna de estudantes universitários e verificar quais os níveis de ansiedade traço (A-Traço) e ansiedade estado (A-Estado) apresentados por eles. Uma amostra, composta por estudantes de graduação de cursos do turno diurno, respondeu a um formulário online, contendo os questionários: Sociodemográfico; Escala de Sonolência de Epworth; Índice de Qualidade de Sono de Pittsburgh; e Inventário de Ansiedade Traço-Estado. Foi realizada, então, análise descritiva dos dados. A média de idade dos 305 participantes foi de 22 ± 2,99 anos, 51,37% do sexo feminino, 98,03% não eram tabagistas; 52,8% consumiam álcool, e 54,1% praticavam atividade física. A maioria apresentou ausência de sonolência excessiva diurna (62,3%), qualidade do sono ruim (72,4%), níveis moderados de A-Traço (56,4%) e A-Estado (47,2%). Os principais achados deste estudo revelam que os voluntários apresentam má qualidade do sono com um nível moderado de ansiedade traço-estado. Os resultados também apontam que o perfil dos alunos que responderam ao questionário foi composto por adultos jovens que não possuem vínculo empregatício e eram solteiros. Houve má qualidade do sono entre os estudantes universitários. Além disso, os escores de ansiedade traço-estado apresentaram-se em níveis moderados.

The present article seeks to describe the quality of sleep and excessive daytime sleepiness of university students and to verify the levels of trait anxiety (A-Trait) and state anxiety (A-State) presented by them. A sample, composed of undergraduate students from daytime courses, responded to an online form, containing the following questionnaires: Sociodemographic; Epworth Sleepiness Scale; Pittsburgh Sleep Quality Index; and State-Trait Anxiety Inventory. A descriptive analysis of the data was then performed. The mean age of the 305 participants was 22 ± 2.99 years, 51.37% were female, 98.03% were non-smokers, 52.8% consumed alcohol, and 54.1% practiced physical activity. The majority demonstrated an absence of excessive daytime sleepiness (62.3%), poor sleep quality (72.4%), and moderate levels of A-Trait (56.4%) and A-State (47.2%). The main findings of this study reveal that the volunteers have poor sleep quality with a moderate level of state-trait anxiety. The results also indicate that the profile of the students who answered the questionnaire was composed of young adults who did not have an employment relationship and were single. There was poor sleep quality among university students. In addition, state trait anxiety scores were at moderate levels.

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Introduction: The health of nurses has a direct impact on the quality of care and health outcomes for patients. The length and quality of sleep as well as the intensity of perceived stress have an impact on the health of nurses. An appropriate stress coping strategy can reduce the impact of stress and mitigate its negative consequences. Aim: The purpose of this study was to investigate relationships between excessive sleepiness and insomnia in interaction with selected socio-occupational factors and stress coping strategies among nurses. Material and Method: The cross-sectional study was conducted among 448 nurses working in hospitals in Podlasie Province in Poland. Mini-Cope inventory - the polish adaptation of Carver's BriefCope was used for measuring coping with stress. Sleep problems were assessed using the Athens Insomnia Scale and the Epworth Sleepiness Scale. Results: The most frequent used coping strategies were active strategies (active coping, planning). The least-used were avoidant strategies (behavioral disengagement, substance use). Excessive sleepiness affected 38% of surveyed, while insomnia 33%. Excessive sleepiness was most strongly related with behavioural disengagement (R 2 = 18.6%), substance use (R 2 = 17.5%), humour (R 2 = 13.8%) and denial (R 2 = 12.0%) while insomnia with substance use (R 2 = 17.5%) and self-blame (R 2 = 15.9%). Nurses with tertiary education experiencing sleep problems less frequently used the strategy of humour, behavioural disengagement, substance use and religion than with lower education. Nurses working in interventional wards experiencing excessive sleepiness used the strategy of humour, religion and positive reframing less often than those working in other wards while those suffering from insomnia used the strategy of humour more often than those working in other wards. Conclusions: The implementation of avoidant and support-seeking and emotion-oriented stress coping strategies by nurses were associated with the sleep problems. Tertiary education discourages nurses with sleep problems from using avoidant coping strategies and devoting themselves to religion. Education and improvement of the quality of sleep may prevent nurses from resorting to stress coping strategies that have a detrimental effect on their health and well-being.

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BACKGROUND: Solriamfetol is developed for the treatment of excessive sleepiness in adult patients with narcolepsy and obstructive sleep apnea (OSA). No systematic review of existing literature has been investigated before. Therefore, the meta-analysis is conducted to assess the efficacy and safety of solriamfetol for excessive sleepiness in narcolepsy and OSA. METHODS: PubMed, Embase and Cochrane Library databases were searched from earliest date to July 2020 for randomized controlled trials (RCTs) and the primary outcomes were change from baseline in mean sleep latency and Epworth Sleepiness Scale (ESS). RESULTS: We pooled 1177 patients from five RCTs and found solriamfetol led to a significant increment in mean sleep latency (MD = 9.52, 95% CI: 7.60 to 11.44, P < 0.00001) and a reduction in ESS score (MD = -3.74, 95% CI: -4.38 to -3.09, P < 0.00001) compared with placebo. The proportion of patients with at least one adverse event was significantly increased in solriamfetol group (RR = 1.42, 95% CI: 1.24 to 1.64, P < 0.00001), while no statistical differences existed in the risk of at least one serious adverse event between solriamfetol and controlled group (RR = 0.95, 95% CI: 0.24 to 3.77, P = 0.39). CONCLUSIONS: A dose of 150 mg solriamfetol is proved to be the appropriate and stable dose for excessive sleepiness. In addition, solriamfetol showed good efficacy for excessive sleepiness in narcolepsy and OSA but also significantly increases the risk of adverse events.

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OBJECTIVE: To examine the association between physical activity, screen time, eating habits and daytime sleepiness among Brazilian adolescents. METHODS: Adolescents from three high schools (n = 876, 49.8% female, 16.4 ± 1.2 years) participated in this cross-sectional survey. Variables related to lifestyle behaviors (ie, physical activity, screen time, eating habits, sleep duration) were collected through an online questionnaire. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale (PDSS). Excessive daytime sleepiness was defined as a PDSS score ≥20. RESULTS: The average PDSS score was 18.9 (SD ± 4.8) points and 46.8% of adolescents were classified as having excessive daytime sleepiness. Physical activity was inversely associated with PDSS score (ß = -0.29, 95% CI -0.47; -0.11). Consuming processed foods frequently (ß = 1.16, 95% CI 0.85; 1.47) and using social media (ß = 0.22, 95% CI 0.14; 0.30) were positively associated with PDSS score. Similar findings were observed for the odds of excessive daytime sleepiness. Physical activity was inversely associated (OR = 0.91, 95% CI 0.84; 0.99), while frequent consumption of processed foods (OR = 1.55, 95% CI 1.33; 1.82) and using social media (OR = 1.13, 95% CI 1.02; 1.24) were positively associated with excessive daytime sleepiness. CONCLUSIONS: Lower physical activity level, a higher consumption processed foods, and higher social media use were associated with daytime sleepiness in this sample of Brazilian adolescents.

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BACKGROUND: Multiple aspects of nurses' rosters interact to affect the quality of patient care they can provide and their own health, safety and wellbeing. OBJECTIVES: (1) Develop and test a matrix incorporating multiple aspects of rosters and recovery sleep that are individually associated with three fatigue-related outcomes - fatigue-related clinical errors, excessive sleepiness and sleepy driving; and (2) evaluate whether the matrix also predicts nurses' ratings of the effects of rosters on aspects of life outside work. DESIGN: Develop and test the matrix using data from a national survey of nurses' fatigue and work patterns in six hospital-based practice areas with high fatigue risk. METHODS: Survey data included demographics, work patterns (previous 14 days), choice about shifts, and the extent to which work patterns cause problems with social life, home life, personal relationships, and other commitments (rated 1 = not at all to 5 = very much). Matrix variables were selected based on univariate associations with the fatigue-related outcomes, limits in the collective employment contract, and previous research. Each variable was categorised as lower (score 0), significant (score 1), or higher risk (score 2). Logistic multiple regression modelling tested the independent predictive power of matrix scores against models including all the (uncategorised) work pattern and recovery sleep variables with significant univariate associations with each outcome variable. Model fit was measured using Akaike and Bayesian Information Criterion statistics. RESULTS: Data were included from 2358 nurses who averaged at least 30 h/week in the previous fortnight in one of the target practice areas. Final matrix variables were: total hours worked; number of shift extensions >30 min, night shifts; breaks < 9 h; breaks ≥ 24 h; nights with sleep 11pm to 7am; days waking fully rested; and roster change. After controlling for gender, ethnicity, years of nursing experience, and the extent of shift choice, the matrix score was a significant independent predictor of each of the three fatigue-related outcomes, and for all four aspects of life outside work. For all outcome variables, the model including the matrix score was a better fit to the data than the equivalent model including all the (uncategorised) work pattern variables. CONCLUSIONS: A matrix that predicts the likelihood of nurses reporting fatigue-related safety outcomes can be used to compare the impact of rosters both at work and outside work. It can be used for roster design and management, and to guide nurses' choices about the shifts they work.

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STUDY OBJECTIVES: Sleep restriction therapy (SRT) has been shown to be comparably effective relative to cognitive behavioral therapy for insomnia (CBT-I), but with lower requirements for patient contact. As such, SRT appears to be a viable alternate treatment for those who cannot complete a full course of CBT-I. However, it is unclear whether SRT-a treatment solely focusing on restricting time in bed-increases risk for sleepiness comparably to CBT-I. The current study tested objective sleepiness as an outcome in a randomized controlled trial comparing SRT, CBT-I, and attention control in a sample of postmenopausal women in whom insomnia was diagnosed according to criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. METHODS: Single-site, randomized controlled trial. A total of 150 postmenopausal women (56.44 ± 5.64 years) with perimenopausal or postmenopausal onset of Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition insomnia disorder were randomized to 3 treatment conditions: sleep education control (6 sessions); SRT (2 sessions with interim phone contact); and CBT-I (6 sessions). Blinded assessments were performed at pretreatment and posttreatment. Risk of excessive sleepiness was evaluated using a symmetry analysis of sleepiness measured through the Multiple Sleep Latency Test (MSLT). RESULTS: The odds ratios (ORs) of being excessively sleepy versus nonsleepy were not different than 1.0 for both SRT (OR = 0.94, 95% confidence interval [0.13-6.96]) and CBT-I (OR = 0.62, 95% confidence interval [0.09-4.46]), indicating that the odds of becoming excessively sleepy following treatment was not different from the odds of being nonsleepy. This suggests that excessive sleepiness is not of unique concern following SRT relative to CBT-I or sleep education. CONCLUSIONS: SRT appears to have a comparable risk profile for excessive sleepiness as CBT-I, and thus may be considered a safe alternative to CBT-I. Future research should characterize objective measures of excessive sleepiness immediately following sleep restriction. CLINICAL TRAIL REGISTRATION: Registry: ClinicalTrials.gov; Name: Behavioral Treatment of Menopausal Insomnia; Sleep and Daytime Outcomes; Identifier: NCT01933295.

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STUDY OBJECTIVES: To evaluate long-term safety and maintenance of efficacy of solriamfetol treatment for excessive daytime sleepiness in narcolepsy and obstructive sleep apnea (OSA). METHODS: Participants with narcolepsy or OSA who completed a prior solriamfetol study were eligible. A 2-week titration period was followed by a maintenance phase (up to 50 weeks). Efficacy was assessed by Epworth Sleepiness Scale (ESS) and Patient and Clinical Global Impression of Change (PGI-C and CGI-C, respectively). After approximately 6 months of treatment, a subgroup entered a 2-week placebo-controlled randomized withdrawal (RW) phase. Change in ESS from beginning to end of the RW phase was the primary endpoint; PGI-C and CGI-C were secondary endpoints. Safety was assessed throughout the study. RESULTS: In the maintenance phase, solriamfetol-treated participants demonstrated clinically meaningful improvements on ESS, PGI-C, and CGI-C. In the RW phase, least squares mean change on ESS was 1.6 in participants continuing solriamfetol versus 5.3 in participants switched to placebo (p < .0001). For both secondary endpoints, higher percentages of participants receiving placebo were reported as worse at the end of the RW phase versus solriamfetol (p < .0001). Common treatment-emergent adverse events (TEAEs) with solriamfetol were headache, nausea, nasopharyngitis, insomnia, dry mouth, anxiety, decreased appetite, and upper respiratory tract infection; 27 (4.2%) participants experienced at least one serious TEAE, and 61 (9.5%) withdrew because of TEAEs. CONCLUSIONS: This study demonstrated long-term maintenance of efficacy of solriamfetol under open-label and double-blind, placebo-controlled conditions. Safety profile of solriamfetol was consistent with previous 12-week studies; no new safety concerns were identified. TRIAL REGISTRATION: NCT02348632.

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OBJECTIVE: This study examined the prevalence, sociodemographic features, patterns of comorbidity, and impact on functional impairment of excessive sleepiness (Ex.S) and associated symptoms in a nationally representative sample of adults using the National Comorbidity Survey Replication (NCS-R) dataset. METHODS: Participants ≥18 years (n = 5,962) were queried about their sleep using the Composite International Diagnostic Interview (CIDI). Specifically, respondents were questioned about feeling sleepy during the day and falling asleep in permissive situations, feelings of insufficient sleep despite adequate time in bed, and/or difficulty waking up. Those endorsing daytime sleepiness and at least one additional symptom were considered to have Ex.S plus associated symptoms. Associations between Ex.S plus associated symptoms and sociodemographics, Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) mental disorders, chronic physical conditions, and functional impairment were examined. RESULTS: The prevalence of Ex.S plus associated symptoms in U.S. adults was 23.34% (standard error [SE] = 0.88) and significantly co-occurred with insomnia-related symptoms after adjusting for confounders (Odds ratio [OR] = 5.65; 95% confidence interval [CI] = 4.55-7.02). The presence of Ex.S and associated symptoms was more common in women, particularly younger women, those with lower family income, and the unemployed (all P<.001). After controlling for demographic characteristics and other confounders, Ex.S plus associated symptoms was associated with having a DSM-IV mental disorder (OR = 4.25; 95% CI = 3.53-5.10), a chronic physical condition (OR = 2.57; 95% CI = 1.94-3.42) and greater disability (P<.001). CONCLUSION: Ex. S with associated symptoms was common, frequently co-occurred with other mental and physical conditions, and was associated with substantial disability. Dissipation of some associations after controlling for insomnia-related symptoms indicated that physical-mental comorbidity and disability were greater among individuals with more pervasive sleep disturbances.

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INTRODUCTION: Shift work sleep disorder (SWSD), also known as shift work disorder (SWD), is a circadian rhythm sleep disorder characterized by insomnia and/or excessive sleepiness, associated with a recurring work schedule that overlaps the usual time designated for sleeping. PURPOSE: This article aims to provide a narrative review of the pharmacological trials conducted on SWD in the last 5 years, to better address safety and health issues inherent to this disorder. METHODS: An electronic literature search was conducted using PubMed. All eligible randomized controlled trials (RCTs) and cross-over RCTs with employees undertaking shift work (including night shifts) were considered, yielding three articles. RESULTS: All three studies showed the efficacy of armodafinil in improving subjective and objective sleepiness, clinical conditions, and global functioning regardless of shift duration. Both performance and driving simulator performance tests administered during the night shift bore better results following armodafinil administration than after placebo. However, armodafinil only reduced subjective disability in individuals working more than 9 h; furthermore, even after armodafinil, alertness was reduced but not normalized. CONCLUSION: These studies underscore the importance of preventing and/or minimizing disturbances due to shift work. This may be achieved through various strategies, such as the employer's commitment to adopt ergonomic criteria in shift design and to implement work-environment interventions like controlled bright light. Health personnel is of pivotal importance to detect potential factors of intolerance to shift work or early symptoms of SWD. Additional and improved studies are needed to further evaluate the effectiveness and safety of both pharmacological and non-pharmacological interventions.

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The prevalence of shift work disorder (SWD) has been studied using self-reported data and the International Classification of Sleep Disorders, Second Edition (ICSD-2) criteria. We examined the prevalence in relation to ICSD-2 and ICSD-3 criteria, work schedules and the number of non-day shifts (work outside 06:00-18:00 hours) using objective working-hours data. Secondly, we explored a minimum cut-off for the occurrence of SWD symptoms. Hospital shift workers without (n = 1,813) and with night shifts (n = 2,917) and permanent night workers (n = 84) answered a survey (response rate 69%) on SWD and fatigue on days off. The prevalence of SWD was calculated for groups with ≥1, ≥3, ≥5 and ≥7 monthly non-day shifts utilizing the working hours registry. ICSD-3-based SWD prevalence was 2.5%-3.7% (shift workers without nights), 2.6%-9.5% (shift workers with nights) and 6.0% (permanent night workers), depending on the cut-off of non-day shifts (≥7-1/month, respectively). The ICSD-2-based prevalence was higher: 7.1%-9.2%, 5.6%-33.5% and 16.7%, respectively. The prevalence was significantly higher among shift workers with than those without nights (p-values <.001) when using the cut-offs of ≥1-3 non-day shifts. Shift workers with nights who had ≥3 days with ICSD-3-based SWD symptoms/month more commonly had fatigue on days off (49.3%) than those below the cut-off (35.8%, p < .05). The ICSD-3 criteria provided lower estimates for SWD prevalence than ISCD-2 criteria, similarly to exclusion of employees with the fewest non-day shifts. The results suggest that a plausible cut-off for days with ICSD-3-based SWD symptoms is ≥3/month, resulting in 3%-6% prevalence of SWD.

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RESUMEN Objetivos . Determinar la frecuencia de somnolencia y sus factores asociados en conductores de transporte público de Lima Metropolitana. Materiales y métodos . Estudio analítico transversal realizado en conductores de entre 18 y 65 años, que laboren en alguna empresa de transporte público registrada en la Municipalidad de Lima. La somnolencia se evaluó mediante una versión de la Escala de Somnolencia de Epworth validada en Perú. Las variables que se pudieron comportar como factores asociados se obtuvieron mediante una ficha de recolección de datos. Se utilizó la regresión logística para estimar la magnitud de la asociación entre la somnolencia y las variables consideradas como factores asociados. Resultados . Se incluyeron a 440 conductores, cuya mediana de edad fue 38,0 años y la mayoría (99,3%) fueron varones. Del total de conductores el 17,7% (78) presentaron somnolencia diurna. Se encontró una asociación significativa entre la somnolencia y el sistema de rotación 2 x 1 (p=0,038) y entre la somnolencia y las horas de sueño menores a siete (p=0,011). El análisis de regresión logística demostró que aquellos conductores con seis o menos horas de sueño tienen mayor probabilidad de somnolencia diurna (OR 1,83; IC95%: 1,03-3,25). Conclusiones . Aproximadamente, uno de cada cinco conductores presentó somnolencia diurna, la cual estuvo asociada con tener seis o menos horas de sueño al día.

ABSTRACT Objective . To determine the frequency of sleepiness and its associated factors in public transportation drivers in Lima metropolitan area. Materials and Methods . Transversal analytical study carried out on drivers between 18 and 65 years old who work in a public transportation company registered in the Municipality of Lima. Sleepiness was assessed using a version of the Epworth Sleepiness Scale validated in Peru. The variables that could behave as associated factors were obtained by a data collection sheet. Logistic regression was used to estimate the magnitude of the association between sleepiness and variables considered as associated factors. Results . Four hundred forty (440) drivers were included, median age was 38.0 years and the majority (99.3%) were males. From the total number of drivers, 17.7% (78) experienced daytime sleepiness. A significant association was found between sleepiness and the 2 x 1 rotation system (p=0.038), and between sleepiness and hours of sleep under seven (p=0.011). Logistic regression analysis showed that drivers with six or fewer hours of sleep were more likely to have daytime sleepiness (OR 1.83, 95% CI: 1.03-3.25). Conclusions . Approximately one out of five drivers experienced daytime sleepiness, which was associated with having six or fewer hours of sleep per day.

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None: Excessive daytime sleepiness (EDS) is one of the leading reasons that patients present to sleep clinics. Approximately 10% to 14% of the adults report that excessive sleepiness interferes with their daily lives. Common causes of EDS include obstructive sleep apnea, sleep deprivation, circadian rhythm disorders, medication effects, psychiatric conditions especially depression, and primary hypersomnia such as narcolepsy or central idiopathic hypersomnia. Vitamin B12 deficiency is a rare cause of EDS. We are presenting a case of severe vitamin B12 deficiency as an unusual and rare cause of hypersomnia. CITATION: Khawaja I, Yingling K, Bukamur H, Abusnina W. Vitamin B12 deficiency: a rare cause of excessive daytime sleepiness. J Clin Sleep Med. 2019;15(9):1365-1367.

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Narcolepsy is a sleep disorder, which can manifest in childhood, or adolescence by causing excessive daytime sleepiness, hallucinations, sleep attacks or cataplexy. Although presentation can vary, nearly all patients present with excessive daytime sleepiness (EDS). There is often a significant delay in diagnosis, which may lead to a misdiagnosis. Timely diagnosis and management may dramatically improve quality of life and symptoms. If missed, a patient may be at risk of accidents at home, work or while operating motor vehicle or machinery. This particular case describes a 42-year-old male, taxicab driver, who has been living with this undiagnosed condition his entire life along with examining real life consequences of his condition due to his occupation.