Abstract
Obstructive sleep apnea (OSA) is associated with an increased motor vehicle accident (MVA) risk. Conventional measures of OSA severity do not predict individual risk. Cognitive function tests have failed to incorporate outcomes in risk prediction. We aimed to identify markers of cognitive function for MVA risk prediction in OSA. OSA patients [n = 114, 75% male, median age 51 (43-61) years, body mass index (BMI) 30 (27-33) kg/m2, apnea-hypopnea index 25 (6-49) n/h, and Epworth Sleepiness (ESS) score 11 (8-16)] were recruited from a sleep laboratory. Two cognitive function tests, the Attention Network Test (ANT) and a modified Oxford Sleep Resistance Test (OSLER) test (GOSLING), were assessed. OSA patients with (n = 11) or without (n = 103) a MVA record in the Swedish traffic accident registry were identified. In patients with a MVA, 64% were commercial drivers. In patients with a MVA history, more lapses [42 (5-121) vs. 5 (1-25), P = 0.02] and fewer responses [238 (158-272) vs. 271 (256-277), P = 0.03] to stimuli in the ANT were found. In the GOSLING, the number of lapses was higher (29 (10-97) vs. 7 (2-19), P = 0.01) and the reaction time was longer [462 (393-551) vs. 407 (361-449) ms, P = 0.05]. OSA severity and ESS score poor...Continue Reading
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