Excessive daytime sleepiness increases the risk of motor vehicle crash in obstructive sleep apnea

• Published in: Journal of clinical sleep medicine 2013-10, Vol.9 (10), p.1013-1021
• Main Authors: Ward, Kim L, Hillman, David R, James, Alan, Bremner, Alexandra P, Simpson, Laila, Cooper, Matthew N, Palmer, Lyle J, Fedson, Annette C, Mukherjee, Sutapa
• Format: Article
• Language: English
• Subjects: Accidents, Traffic - statistics & numerical data; Adult; Age Factors; Analysis of Variance; Automobile Driving; Cohort Studies; Disorders of Excessive Somnolence - complications; Disorders of Excessive Somnolence - diagnosis; Disorders of Excessive Somnolence - therapy; Female; Humans; Incidence; Male; Middle Aged; Multivariate Analysis; New Research; Poisson Distribution; Polysomnography - methods; Retrospective Studies; Risk Assessment; Severity of Illness Index; Sex Factors; Sleep Apnea, Obstructive - complications; Sleep Apnea, Obstructive - diagnosis; Sleep Apnea, Obstructive - therapy; Surveys and Questionnaires; Tertiary Care Centers; Western Australia
• ISSN: 1550-9389; 1550-9397
• DOI: 10.5664/jcsm.3072

(1) To describe the incidence rate of motor vehicle crashes (MVCs) in patients with obstructive sleep apnea (OSA); and (2) to investigate MVC risk factors in OSA patients. A retrospective case-series observational study was conducted using data from the West Australian Sleep Health Study at a tertiary hospital-based sleep clinic. Participants were patients (N = 2,673) referred for assessment of suspected sleep disordered breathing. Questionnaire data were collected including age, sex, years of driving, near-misses and MVCs, sleepiness, and consumption of alcohol and caffeinated drinks. Overnight laboratory-based polysomnography was performed using standard methodology.(1) Poisson univariate and negative binomial multivariable regression models were used to investigate associations between risk factors and MVC and near-miss risk in patients with untreated OSA. In patients with untreated OSA, the crash rate was 0.06 MVC/person-year compared with the general community crash rate of 0.02 MVC/person-year. The rate ratio comparing very sleepy men with normal men was 4.68 (95% CI 3.07, 7.14) for near-misses and 1.27 (95% CI 1.00, 1.61) for crashes, after adjusting for confounders. In women there was a significant association with sleepiness score (p = 0.02) but no dose effect across quartiles. Untreated OSA is associated with an increased risk of near-misses in men and women and an increased risk of MVCs in very sleepy men. There is a strong association between excessive daytime sleepiness and increased report of near-misses. Our data support the observation that it is those patients with increased sleepiness regardless of OSA severity who are most at risk.