Obstructive sleep apnea, health-related factors, and long distance heavy vehicle crashes in Western Australia: a case control study

Improved drowsiness detection in drivers through optimum pairing of EEG features using an optimal EEG channel comparable to a multichannel EEG system

Multichannel electroencephalography (EEG)-based drowsiness detection (DD) offers higher coverage but comes with increased computational demands, hardware requirements, and user discomfort, whereas single-channel devices are cost-effective and user-friendly but provide lower coverage. We hypothesized that an optimal channel with optimum paired EEG features could achieve coverage comparable to a multichannel system. Subject-specific, EEG-feature-specific thresholding techniques were introduced to classify 927 EEG epochs, derived from visual-based scoring through image processing of fifty drivers' facial expressions during a 50-min driving simulation, using six individual EEG channels with paired features. Ten normalized EEG features were extracted per epoch using discrete wavelet transform (DWT), and seven thresholding techniques were applied to identify the most consistent method across subjects. Epochs were classified as drowsy or wakeful based on whether their normalized values exceeded or fell below a specific threshold. We then assessed the coverage of each channel by comparing EEG patterns with visual-based scoring. To determine the optimal feature pair for classifying each epoch in alignment with visual-based scoring, 45 feature combinations were evaluated. The pairing of power spectral density (PSD) alpha and PSD theta in channels Frontal4 (F4) and Occipital2 (O2) yielded the highest coverage, achieving 96.1% and 95% with corresponding accuracies of 95.4% and 94.7%, respectively. These results slightly surpassed the coverage achieved using six channels with a single feature, with increases of 1.47% for F4 and 0.32% for O2. Our study demonstrates that an optimal EEG channel with optimum paired EEG features can reduce channels from six to one, lowering computational demands for wearable DD devices.

Association of Visual-Based Signals with Electroencephalography Patterns in Enhancing the Drowsiness Detection in Drivers with Obstructive Sleep Apnea

Individuals with obstructive sleep apnea (OSA) face increased accident risks due to excessive daytime sleepiness. PERCLOS, a recognized drowsiness detection method, encounters challenges from image quality, eyewear interference, and lighting variations, impacting its performance, and requiring validation through physiological signals. We propose visual-based scoring using adaptive thresholding for eye aspect ratio with OpenCV for face detection and Dlib for eye detection from video recordings. This technique identified 453 drowsiness (PERCLOS ≥ 0.3 || CLOSDUR ≥ 2 s) and 474 wakefulness episodes (PERCLOS < 0.3 and CLOSDUR < 2 s) among fifty OSA drivers in a 50 min driving simulation while wearing six-channel EEG electrodes. Applying discrete wavelet transform, we derived ten EEG features, correlated them with visual-based episodes using various criteria, and assessed the sensitivity of brain regions and individual EEG channels. Among these features, theta-alpha-ratio exhibited robust mapping (94.7%) with visual-based scoring, followed by delta-alpha-ratio (87.2%) and delta-theta-ratio (86.7%). Frontal area (86.4%) and channel F4 (75.4%) aligned most episodes with theta-alpha-ratio, while frontal, and occipital regions, particularly channels F4 and O2, displayed superior alignment across multiple features. Adding frontal or occipital channels could correlate all episodes with EEG patterns, reducing hardware needs. Our work could potentially enhance real-time drowsiness detection reliability and assess fitness to drive in OSA drivers.

Factors Associated with Fatigued Driving among Australian Truck Drivers: A Cross-Sectional Study

BACKGROUND

Fatigued driving is one of the leading factors contributing to road crashes in the trucking industry. The nature of trucking, prolonged working time, and irregular sleep patterns can negatively impact drivers' health and wellbeing. However, there is limited research in Australia investigating the impact of demographic, occupational, or lifestyle factors on fatigue among truck drivers.

OBJECTIVE

This cross-sectional study examines the role of demographic, occupational, lifestyle, and other health risk factors associated with fatigue among Australian truck drivers.

METHOD

This study was part of a larger study that used a short online survey with a follow-up telephone survey to capture in-depth information on a wide range of determinants related to truck drivers' physical and mental health outcomes. Fatigue was measured by three questions, including the frequency of fatigue, fatigue management training, and strategies used to combat fatigue. Multivariate regression analysis was used to determine the specific impact of demographics, occupational factors, lifestyle factors, and other health risk factors on fatigue.

RESULTS

In total, 332 drivers completed both the online and telephone surveys; 97% were male, representing drivers from broad age groups and professional experience. The odds of being in the high-risk fatigue group were nearly three times higher in drivers who worked 40-60 h compared to those who worked < 40 h. Poor sleep increased the odds of high-risk fatigue by seventimes (95% CI: 2.26-21.67, p = 0.001). Drivers who reported experiencing loneliness also had double the odds of being at high risk of fatigued driving.

CONCLUSIONS

The increased risk of fatigue in truck drivers is associated with prolonged working hours, poor sleep, and social aspects such as loneliness. Further interventions seeking to reduce driver fatigue should consider the impact of work schedules, the availability of quality sleeping spaces, and the level of social connections.

Unravelling the Complexity of Irregular Shiftwork, Fatigue and Sleep Health for Commercial Drivers and the Associated Implications for Roadway Safety

Fatigue can be a significant problem for commercial motor vehicle (CMV) drivers. The lifestyle of a long-haul CMV driver may include long and irregular work hours, inconsistent sleep schedules, poor eating and exercise habits, and mental and physical stress, all contributors to fatigue. Shiftwork is associated with lacking, restricted, and poor-quality sleep and variations in circadian rhythms, all shown to negatively affect driving performance through impaired in judgment and coordination, longer reaction times, and cognitive impairment. Overweight and obesity may be as high as 90% in CMV drivers, and are associated with prevalent comorbidities, including obstructive sleep apnea, hypertension, and cardiovascular and metabolic disorders. As cognitive and motor processing declines with fatigue, driver performance decreases, and the risk of errors, near crashes, and crashes increases. Tools and assessments to determine and quantify the nature, severity, and impact of fatigue and sleep disorders across a variety of environments and populations have been developed and should be critically examined before being employed with CMV drivers. Strategies to mitigate fatigue in CMV operations include addressing the numerous personal, health, and work factors contributing to fatigue and sleepiness. Further research is needed across these areas to better understand implications for roadway safety.

Risk of work-related injury in workers with obstructive sleep apnea: A systematic review and meta-analysis

The objective of this study is to elucidate the relationship between obstructive sleep apnea (OSA) and the risk of work-related injuries (WRIs), synthesize the latest clinical evidence and conduct a systematic review and meta-analysis adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PRISMA 2020). Observational studies published before April 2020 in PubMed, Cochrane library, PsycINFO, Scopus, Google Scholar and Web of Science were included. Random-effects Mantel-Haenszel meta-analysis was performed. A total of 15 studies with 21,507 participants were included. Prespecified subgroup analyses based on study design and the characteristics of the enrollees were conducted. Overall, workers with OSA had 1.64-fold increased odds of being involved in WRIs compared to their counterparts (OR = 1.64, 95% CI = 1.24-2.16, p = 0.0005). In addition to the professional drivers that have been studied in the past, such a trend also existed in the general working population (OR = 1.68, 95% CI = 1.14-2.49, p = 0.01). We also found that workers with excessive daytime sleepiness (Epworth Sleepiness Scale score >10) had a 1.68-fold increased risk of WRIs compared to those with lower ESS scores (OR = 1.68, 95% CI = 1.22-2.30, p = 0.002). This study verified that OSA workers had a higher risk of WRIs, and such correlations do not show obvious differences in subgroups with different sample sizes, OSA diagnosis methods, job types or definitions of WRI. Based on the association between OSA and WRIs identified in our study, further studies investigating the protective effects of early identification and management of OSA on WRIs are warranted.

Sleepiness Behind the Wheel and the Implementation of European Driving Regulations

Sleep disturbance and sleepiness are established risk factors for driving accidents and obstructive sleep apnea (OSA) is the most prevalent medical disorder associated with excessive daytime sleepiness. Because effective treatment of OSA reduces accident risk, several jurisdictions have implemented regulations concerning the ability of patients with OSA to drive, unless effectively treated. This review provides a practical guide for clinicians who may be requested to certify a patient with OSA as fit to drive regarding the scope of the problem, the role of questionnaires and driving simulators to evaluate sleepiness, and the benefit of treatment on accident risk.

Poor performance of screening questionnaires for obstructive sleep apnea in male commercial drivers

PURPOSE

Screening commercial drivers (CDs) for obstructive sleep apnea (OSA) reduces the risk of motor vehicle accidents. We evaluated the accuracy of standard OSA questionnaires in a cohort of CDs.

STUDY DESIGN AND METHODS

We enrolled consecutive male CDs at 10 discrete transportation companies during their yearly scheduled occupational health visit. The CDs had their anthropometric measures taken; completed the Berlin, STOP, STOP-BANG, OSAS-TTI, SACS, EUROSAS, and ARES questionnaires; and underwent a home sleep apnea test (HSAT) for the determination of their respiratory events index (REI). We assessed the questionnaires' ability to predict OSA (REI ≥ 5 events/h) and moderate-to-severe OSA (REI ≥ 15 events/h).

RESULTS

Among 315 CDs recruited, 243 (77%) completed the study protocol, while 72 subjects were excluded for inadequate HSAT quality. The demographics and clinical data were comparable in both the included and excluded subjects. The included CDs had a median age of 50 years (interquartile range (IQR) 25-70) and a mean body mass index of 27 ± 4 kg/m². One hundred and seventy-one subjects (71%) had OSA, and 68 (28%) had moderate-to-severe OSA. A receiver operating characteristic curve of the questionnaires were 0.51-0.71 for predicting OSA and 0.51-0.66 for moderate-to-severe OSA. The STOP-BANG questionnaire had an unsatisfactory positive predictive value, while all of the other questionnaires had an inadequate negative predictive value.

CONCLUSIONS

Standard OSA questionnaires are not suited for screening among CDs. The use of the HSAT could provide an objective evaluation of for OSA in this special population.

European Respiratory Society statement on sleep apnoea, sleepiness and driving risk

Obstructive sleep apnoea (OSA) is highly prevalent and is a recognised risk factor for motor vehicle accidents (MVA). Effective treatment with continuous positive airway pressure has been associated with a normalisation of this increased accident risk. Thus, many jurisdictions have introduced regulations restricting the ability of OSA patients from driving until effectively treated. However, uncertainty prevails regarding the relative importance of OSA severity determined by the apnoea–hypopnoea frequency per hour and the degree of sleepiness in determining accident risk. Furthermore, the identification of subjects at risk of OSA and/or accident risk remains elusive. The introduction of official European regulations regarding fitness to drive prompted the European Respiratory Society to establish a task force to address the topic of sleep apnoea, sleepiness and driving with a view to providing an overview to clinicians involved in treating patients with the disorder. The present report evaluates the epidemiology of MVA in patients with OSA; the mechanisms involved in this association; the role of screening questionnaires, driving simulators and other techniques to evaluate sleepiness and/or impaired vigilance; the impact of treatment on MVA risk in affected drivers; and highlights the evidence gaps regarding the identification of OSA patients at risk of MVA.

Relationship between truck driver fatigue and rear-end collision risk

The fatigue of truck, bus, and taxi drivers has been a causal trigger for road accidents. However, the relationship between collision risk and the extent of objective fatigue has yet to be confirmed. In this study, we aimed to identify the relationship between autonomic nerve function as an objective parameter of fatigue and the extent of rear-end collision risk, which includes not only objectively risky events but also situations in which truck drivers require safety guidance from safety transport managers. Data of 33 truck driver participants (2 females, 31 males, 46.0 ± 9.1 years old, min–max: 24–65 years old) were analyzed. Drive recorder and automotive sensor data were collected over an eight-month period, and the autonomic nerve function during resting state in drivers was evaluated daily, pre- and post-shift, using pulse waves and electrocardiographic waveform measurement. The rear-end collision risk Index was developed using decision tree analysis of the audiovisual drive recorder data and distance data from the front automotive sensors. The rear-end collision risk index of shift-day was positively correlated with the sympathetic nerve activity index of post-shift condition on the previous day. This suggests that fatigue-related sympathetic nerve overactivity of post-shift condition increases the rear-end collision risk in the following day. Measures, such as actively seeking rest and undertaking fatigue recovery according to the degree of sympathetic nerve activity of post-shift condition, are necessary in order to prevent truck drivers’ rear-end collisions.

High risk of obstructive sleep apnea, insomnia, and daytime sleepiness among commercial motor vehicle drivers

PURPOSE

We investigated the prevalence of sleep problems, such as obstructive sleep apnea (OSA), insomnia, and daytime sleepiness in commercial motor vehicle (CMV) drivers compared with that in the general population.

METHODS

This is a cross-sectional study comparing sleep habits and sleep problems in 110 truck drivers with 1001 matched controls from the general population. The assessment was based on self-administered questionnaires that included the Berlin questionnaire, the insomnia severity index, and the Epworth sleepiness scale (ESS). Multivariate regression analysis was performed to determine whether CMV drivers were independently associated with these sleep problems compared with controls.

RESULTS

The prevalence of a high risk of OSA and insomnia was 35.5% and 15.2%, respectively, in CMV drivers, which was significantly higher than in controls with a prevalence of 12.2% and 4.1%, respectively (P < 0.001 for both). Although CMV drivers showed higher ESS scores than controls, the prevalence of daytime sleepiness did not differ between the two groups (19.1% vs. 16.8%, P = 0.54). After adjusting for covariates, CMV drivers had 3.68 times higher odds (95% CI 2.29-5.84) of OSA and 2.97 times higher odds (95% CI, 1.46-6.06) of insomnia compared with controls. However, the degree of daytime sleepiness was not independently associated with CMV drivers.

CONCLUSIONS

The prevalence of OSA and insomnia in CMV drivers was higher than that in the general population. Daytime sleepiness was associated with increased BMI, depression, OSA, and short sleep duration, regardless of CMV driving as an occupational factor.

Sleep and Mental Health in Truck Drivers: Descriptive Review of the Current Evidence and Proposal of Strategies for Primary Prevention

Background: Professional truck drivers (TDs) are exposed to stressful working (and living) conditions and are vulnerable. They report physical and mental health problems and psychological distress more frequently than the general population and their problems can affect safety on the roads. Actions to improve TDs’ health and reduce the risks of (co-)morbidity or unsafe driving are imperative. Methods: The published studies dealing with the TDs’ sleep habits and mental health were reviewed to define the scenario and organize the preventive strategies proposed thus far. Results: Awareness among TDs of the high risk for health and safety due to (often co-existing) untreated sleep and mental health problems is critical. Alcohol and prescribed or illicit drugs are often misused to compensate for depression, anxiety, job strain, fatigue, and social isolation. Polypharmacy and dependence increase the chance of unsafe behaviors on the road. The TDs’ access to healthcare services is scant, and participation in industry-sponsored wellness programs is limited. Conclusions: Primary prevention is a first unavoidable step to deal with sleep and mental health problems. Educational programs, online support and tele-health assessment/monitoring would help improve the well-being, safety and health of professional TDs and increase safety on the road.

Sleep quality, obstructive sleep apnea, and psychological distress in truck drivers: a cross-sectional study

PURPOSE

Sleep disorders are highly prevalent in truck drivers. The aim of this study is to evaluate the prevalence of self-reported obstructive sleep apnea (OSA) and poor sleep quality in truck drivers, and to analyze the relationship between sleep problems and mental health.

METHODS

A total of 526 male truck drivers (mean age 45.9; DS 9.4) responded to a questionnaire about risk factors for OSA (STOP-Bang), sleep quality perception (Pittsburg sleep questionnaire inventory, PSQI), excessive daytime sleepiness (Epworth sleepiness scale, ESS), and psychological disorders (general health questionnaire, GHQ-12).

RESULTS

It was found that 51.1% of the drivers were at risk of OSA, 17.3% had bad sleep quality, and 8.9% had excessive daytime sleepiness (EDS). The association between psychological distress, OSA (OR = 1.67; CI 95% 0.99-2.83; p = 0.057), bad sleep quality (OR = 2.58; CI 95% 1.52-4.37; p < 0.001), and EDS (OR = 1.65; CI 95% 0.83-3.30; p = 0.151) was assessed.

CONCLUSIONS

The high prevalence of sleep problems, especially suspected OSA, and low quality of sleep in truck drivers can worsen the general and psychological wellbeing of the workers. Educational programs focusing on sleep hygiene and behavioral interventions are needed to promote adequate sleep habits and improve individual and public health.

Work-related injury factors and safety climate perception in truck drivers

INTRODUCTION

The trucking industry has a high burden of work-related injuries. This study examined factors, such as safety climate perceptions, that may impact injury risk.

METHOD

A random sample of 9800 commercial driver's license holders (CDL) were sent surveys, only 4360 were eligible truck drivers. Descriptive statistics and logistic regression models were developed to describe the population and identify variables associated with work-related injury.

RESULTS

2189 drivers completed the pertinent interview questions. Driving less-than-truckload, daytime sleepiness, pressure to work faster, and having a poor composite score for safety perceptions were all associated with increased likelihood of work-related injury. Positive safety perception score was protective for odds of work-related injury, and increased claim filing when injured.

CONCLUSIONS

Positive psychological safety climate is associated with decreased likelihood of work-related injury and increased likelihood that a driver injured on the job files a workers' compensation claim.

Legal and Regulatory Aspects of Sleep Disorders

Sleep disorders may interact with the law, making awareness important. Insufficient sleep and obstructive sleep apnea (OSA) are prevalent and associated with excessive sleepiness. Patients with excessive sleepiness may have civil or criminal liability if they fall asleep and cause a motor vehicle accident. Awareness of screening and treatment of OSA is increasing in certain industries. Parasomnia associated sleep-related violence represents a challenge to clinicians, who may be called on to consider parasomnia as a contributing, mitigating, or exculpatory factor in criminal proceedings. Improving access to sleep medicine care is an important aspect in reducing the consequences of sleep disorders.

Implementing a Sleep Health Education and Sleep Disorders Screening Program in Fire Departments: A Comparison of Methodology

OBJECTIVE

The objective of this study is to compare three methods of administering a sleep health program (SHP) in fire departments.

METHODS

An SHP, comprising sleep health education and screening for common sleep disorders, was implemented in eight fire departments using three approaches: expert-led, train-the-trainer, and online. Participation rates, knowledge assessments, surveys, and focus group interviews were analyzed to assess the reach and effectiveness of the methodologies.

RESULTS

The Expert-led SHP had the highest participation rate, greatest improvement in knowledge scores, and prompted more firefighters to seek clinical sleep disorder evaluations (41%) than the other approaches (20 to 25%). Forty-two percent of focus group participants reported changing their sleep behaviors.

CONCLUSION

All approaches yielded reasonable participation rates, but expert-led programs had the greatest reach and effectiveness in educating and screening firefighters for sleep disorders.

Risk of Occupational Accidents in Workers with Obstructive Sleep Apnea: Systematic Review and Meta-analysis

STUDY OBJECTIVES

Obstructive sleep apnea (OSA) is the single most important preventable medical cause of excessive daytime sleepiness (EDS) and driving accidents. OSA may also adversely affect work performance through a decrease in productivity, and an increase in the injury rate. Nevertheless, no systematic review and meta-analysis of the relationship between OSA and work accidents has been performed thus far.

METHODS

PubMed, PsycInfo, Scopus, Web of Science, and Cochrane Library were searched. Out of an initial list of 1,099 papers, 10 studies (12,553 participants) were eligible for our review, and 7 of them were included in the meta-analysis. The overall effects were measured by odds ratios (OR) and 95% confidence intervals (CI). An assessment was made of the methodological quality of the studies. Moderator analysis and funnel plot analysis were used to explore the sources of between-study heterogeneity.

RESULTS

Compared to controls, the odds of work accident was found to be nearly double in workers with OSA (OR = 2.18; 95% CI = 1.53-3.10). Occupational driving was associated with a higher effect size.

CONCLUSIONS

OSA is an underdiagnosed nonoccupational disease that has a strong adverse effect on work accidents. The nearly twofold increased odds of work accidents in subjects with OSA calls for workplace screening in selected safety-sensitive occupations.

COMMENTARY

A commentary on this article appears in this issue on page 1171.

Nonadherence with Employer-Mandated Sleep Apnea Treatment and Increased Risk of Serious Truck Crashes

STUDY OBJECTIVES

To evaluate the effect of an employer-mandated obstructive sleep apnea (OSA) program on the risk of serious preventable truck crashes.

METHODS

Data are from the first large-scale, employer-mandated program to screen, diagnose, and monitor OSA treatment adherence in the US trucking industry. A retrospective analysis of cohorts was constructed: polysomnogram-diagnosed drivers (OSA positive n = 1,613, OSA negative n = 403) were matched to control drivers unlikely to have OSA (n = 2,016) on two factors affecting crash risk, experience-at-hire and length of job tenure; tenure was matched on the date of each diagnosed driver's polysomnogram. Auto-adjusting positive airway pressure (APAP) treatment was provided to all cases (i.e. OSA positive drivers); treatment adherence was objectively monitored. Cases were grouped by treatment adherence: "Full Adherence" (n = 682), "Partial Adherence" (n = 571), or "No Adherence" (n = 360). Preventable Department-of-Transportation-reportable crashes/100,000 miles were compared across study subgroups. Robustness was assessed.

RESULTS

After the matching date, "No Adherence" cases had a preventable Department of Transportation-reportable crash rate that was fivefold greater (incidence rate ratio = 4.97, 95% confidence interval: 2.09, 10.63) than that of matched controls (0.070 versus 0.014 per 100,000 miles). The crash rate of "Full Adherence" cases was statistically similar to controls (incidence rate ratio = 1.02, 95% confidence interval: 0.48, 2.04; 0.014 per 100,000 miles).

CONCLUSIONS

Nontreatment-adherent OSA-positive drivers had a fivefold greater risk of serious preventable crashes, but were discharged or quit rapidly, being retained only one-third as long as other subjects. Thus, the mandated program removed risky nontreatment-adherent drivers and retained adherent drivers at the study firm. Current regulations allow nonadherent OSA cases to drive at another firm by keeping their diagnosis private.

COMMENTARY

A commentary on this article appears in this issue on page 961.

Commercial Motor Vehicle Driver Positive Airway Pressure Therapy Adherence in a Sleep Center

STUDY OBJECTIVES

To assess positive airway pressure (PAP) therapy adherence in commercial motor vehicle (CMV) drivers presenting to a sleep center.

METHODS

A retrospective chart review of 120 drivers evaluated for obstructive sleep apnea OSA and 53 initiated on PAP therapy in a single sleep center over a one-year period (2012); PAP therapy data were collected up to 1 year.

RESULTS

Early PAP usage best predicted adherence up to 1 year (p < 0.0001) compared to patient factors, OSA disease characteristics, and treatment elements analyzed. The proportion of participants adherent to therapy was 68.0% at 1 week, decreasing to 39.6% at 1 year, with 31.1% lost to follow-up by 1 year. In the group categorized based on adherence at week 1, 80.6% were adherent at 1 month, decreasing to 52.8% at 1 year. For the group non-adherent at 1 week, 29.4% were adherent at 1 month, decreasing to 11.7% at 1 year. Participants were predominantly male (75.8%), middle-aged (median 50.5 years), and African American (71.7%). Of those referred to the sleep center, 86.7% had OSA (median apnea-hypopnea index [AHI] or respiratory event index [REI] 20.1), with 51.0% of the OSA group having an AHI or REI > 20 and initiating PAP therapy.

CONCLUSIONS

Early PAP utilization patterns predicted one year adherence for our CMV driver population within a sleep clinic setting. OSA testing of these CMV drivers after occupational health referral identifies high proportions of undiagnosed OSA, with approximately half requiring PAP therapy based on current published treatment recommendations.

Commercial Motor Vehicle Driver Obstructive Sleep Apnea Screening and Treatment in the United States: An Update and Recommendation Overview

ABSTRACT

No regulatory mandate exists in the United States (U.S.) for comprehensive obstructive sleep apnea (OSA) risk assessment and stratification for commercial motor vehicle (CMV) drivers. Current Federal Motor Carrier Safety Administration (FMCSA) requirements are outdated and depend largely on subjective report, a less reliable strategy in an occupational setting. Without FMCSA standards, sleep specialists, occupational medical examiners and employers rely on a collection of medical consensus recommendations to establish standards of care. These recommendations advise OSA risk assessment through a combination of focused medical history, physical examination, questionnaires, and accident history, which increase OSA detection compared to current FMCSA standards. For those diagnosed with OSA, consensus-based risk stratification helps identify CMV drivers who may benefit from OSA treatment and establish minimum standards for assessing treatment efficacy and adherence. Unfortunately no consolidated recommendation exists; rather, publications span medical and governmental literature in a patchwork fashion that no longer fully reflect current practice due to subsequent advances in OSA diagnosis, treatment, and technology. Based on searches of medical literature, internet materials, and reference lists from existing publications, an overview and discussion of key published recommendations regarding OSA assessment and treatment in CMV operators is provided. Suggestions for incorporating these recommendations into clinical sleep medicine practice in the U.S. are presented. The challenge for sleep specialists is maintaining the delicate balance between recommendations impacting standard of care and associated medico-legal impact with stakeholder interests from medical, regulatory, industry and public perspectives while providing high quality and efficient care.