Brain mitochondrial dysfunction and driving simulator performance in untreated obstructive sleep apnea

First published: 15 September 2021 OnlinePublIt is challenging to determine which patients with obstructive sleep apnea (OSA) have impaired driving ability. Vulnerability to this neurobehavioral impairment may be explained by lower brain metabolites levels involved in mitochondrial metabolism. This study compared markers of brain energy metabolism in OSA patients identified as vulnerable vs resistant to driving impairment following extended wakefulness. 44 patients with moderate-severe OSA underwent 28hr extended wakefulness with three 90min driving simulation assessments. Using a two-step cluster analysis, objective driving data (steering deviation and crashes) from the 2nd driving assessment (22.5 h awake) was used to categorise patients into vulnerable (poor driving, n = 21) or resistant groups (good driving, n = 23). 1H magnetic resonance spectra were acquired at baseline using two scan sequences (short echo PRESS and longer echo-time asymmetric PRESS), focusing on key metabolites, creatine, glutamate, N-acetylaspartate (NAA) in the hippocampus, anterior cingulate cortex and left orbito-frontal cortex. Based on cluster analysis, the vulnerable group had impaired driving performance compared with the resistant group and had lower levels of creatine (PRESS p = ns, APRESS p = 0.039), glutamate, (PRESS p < 0.01, APRESS p < 0.01), NAA (PRESS p = 0.038, APRESS p = 0.035) exclusively in the left orbito-frontal cortex. Adjusted analysis, higher glutamate was associated with a 21% (PRESS) and 36% (APRESS) reduced risk of vulnerable classification. Brain mitochondrial bioenergetics in the frontal brain regions are impaired in OSA patients who are vulnerable to driving impairment following sleep loss. These findings provide a potential way to identify at risk OSA phenotype when assessing fitness to drive, but this requires confirmation in larger future studies.Andrew Vakulin, Michael A. Green, Angela L. D’Rozario, David Stevens, Hannah Openshaw, Delwyn Bartlett ... et al

The association between obstructive sleep apnea and sleep spindles in middle-aged and older men: a community-based cohort study

Advance Access Publication Date: 29 November 2021Study Objectives Sleep spindles show morphological changes in obstructive sleep apnea (OSA). However, previous small studies have limited generalizability, leaving associations between OSA severity measures and spindle metrics uncertain. This study examined cross-sectional associations between OSA severity measures and spindle metrics among a large population-based sample of men. Methods Community-dwelling men with no previous OSA diagnosis underwent home-based polysomnography. All-night EEG (F4-M1) recordings were processed for artifacts and spindle events identified using previously validated algorithms. Spindle metrics of interest included frequency (Hz), amplitude (µV2), overall density (11–16 Hz), slow density (11–13 Hz), and fast density (13–16 Hz) (number/minute). Multivariable linear regression models controlling for demographic, biomedical, and behavioral confounders were used to examine cross-sectional associations between OSA severity measures and spindle metrics. Results In adjusted analyses, higher apnea-hypopnea index (AHI/h, as a continuous variable) and percentage total sleep time with oxygen saturation <90% (TST90) were associated with decreased slow spindle density (AHI, B = −0.003, p = 0.032; TST90, B = −0.004, p = 0.047) but increased frequency (AHI, B = 0.002, p = 0.009; TST90, B = 0.002, p = 0.043). Higher TST90 was also associated with greater spindle amplitude (N2 sleep, B = 0.04, p = 0.011; N3 sleep, B = 0.11, p < 0.001). Furthermore, higher arousal index was associated with greater spindle amplitude during N2 sleep (B = 0.31, p < 0.001) but decreased overall density (B = −1.27, p = 0.030) and fast density (B = −4.36, p = 0.028) during N3 sleep. Conclusions Among this large population-based sample of men, OSA severity measures were independently associated with spindle abnormalities. Further population studies are needed to determine associations between spindle metrics and functional outcomes.Jesse L Parker, Yohannes Adama Melaku, Angela L D’Rozario, Gary A Wittert, Sean A Martin, Peter G Catcheside ... et al