Study Objectives: Obstructive sleep apnea (OSA) is associated with driving impairment and road crashes. However, daytime function varies widely between patients presenting a clinical challenge when assessing crash risk. This study aimed to determine the proportion of patients showing "normal" versus "abnormal" driving simulator performance and examine whether anthropometric, clinical, and neurobehavioral measures predict abnormal driving.
Methods: Thirty-eight OSA patients performed a 90-min simulated driving task under 3 conditions: normal sleep, restricted sleep (4 h in bed), and normal sleep + alcohol (BAC∼0.05 g/dL). Patients were classified as "resilient" drivers if, under all 3 experimental conditions their mean steering deviation fell within 2 standard deviations of the mean steering deviation of 20 controls driving under baseline normal sleep conditions, or a "vulnerable" driver if mean steering deviation was outside this range in at least one experimental condition. Potentially predictive baseline anthropometric, clinical, neurocognitive, and cortical activation measures were examined.
Results: Of the 38 OSA patients examined, 23 (61%) and 15 (39%) were classified as resilient and vulnerable drivers, respectively. There were no differences in baseline measures between the groups, although the proportion of females was greater and self-reported weekly driving exposure was less among vulnerable drivers (p < 0.05). On univariate analysis gender, weekly driving hours, and auditory event related potential P2 amplitude were weakly associated with group status. Multivariate analysis showed weekly driving hours (OR 0.69, 95%CI, 0.51-0.94, p = 0.02) and P2 amplitude (OR 1.34, 95%CI 1.02-1.76, p = 0.035) independently predicted vulnerable drivers.
Conclusions: Most OSA patients demonstrated normal simulated driving performance despite exposure to further sleep loss or alcohol. Most baseline measures did not differentiate between resilient and vulnerable drivers, although prior driving experience and cortical function were predictive. Novel measures to assist identification of OSA patients at risk of driving impairment and possibly accidents are needed.
Trial Registration: Data presented in this manuscript was collected as part of a clinical trial "Experimental Investigations of Driving Impairment in Obstructive Sleep Apnea." Trial ID: ACTRN12610000009011, URL: http://www.anzctr.org.au/trial_view.aspx?ID=334979.
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http://dx.doi.org/10.5664/jcsm.3792 | DOI Listing |
Adv Ther
January 2025
Department of Endocrinology and Nutrition, Hospital Universitari de Bellvitge-IDIBELL, C/de la Feixa Llarga S/N, 08907, Hospitalet de Llobregat, Barcelona, Spain.
Introduction: Obesity and its complications are associated with high morbidity/mortality and a significant healthcare cost burden in Spain. It is therefore essential to know the potential clinical and economic benefits of reducing obesity. The objective of this study is to predict the decrease in rates of onset of potential complications associated with obesity and the cost savings after a weight loss of 15% over 10 years in Spain.
View Article and Find Full Text PDFSleep Breath
January 2025
Department of Health Research Methods, Evidence and Impact (HEI), McMaster University, Hamilton, ON, Canada.
Purpose: A high proportion of obstructive sleep apnea (OSA) remains undiagnosed. The main objectives of this study were to measure the prevalence of diagnosed OSA and determine OSA predictors in patients who underwent bariatric surgery, who are predominantly female and pre-menopausal and represent an understudied population in OSA literature.
Methods: This was a cross-sectional population-based study using the Ontario Bariatric Registry (OBR) from 2010 to 2016, linked to ICES databases which include health administrative data on all encounters within a single public-payer system.
Sleep
January 2025
Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, China.
Study Objectives: Multilevel upper airway surgery is effective for some patients with obstructive sleep apnea (OSA), but prediction the response to surgery remains a challenge. The underlying endotypes of OSA include upper airway collapsibility, muscle compensation, loop gain, and the arousal threshold. This study aimed to explore the effect of surgery on polysomnography (PSG)-derived OSA endotypes and establish a surgical response prediction model.
View Article and Find Full Text PDFDiabetes Metab Syndr Obes
January 2025
Department of Ear, Nose and Throat, Beijing Hepingli Hospital, Beijing, People's Republic of China.
Objective: To evaluate the application value of STOP-Bang questionnaire (SBQ) in predicting abnormal metabolites.
Methods: Totally 121 patients were included into the study and filled the questionnaires, and their clinical data were collected at the same time. These patients were grouped according to the questionnaire scores.
Acta Med Philipp
December 2024
Division of Pediatric Pulmonology, Department of Pediatrics, College of Medicine and Philippine General Hospital, University of the Philippines Manila.
Objective: Our study aimed to identify and describe pulmonary complications and its associated risk factors in children with suspected or confirmed obstructive sleep apnea (OSA) who underwent tonsillectomy or adenotonsillectomy in a tertiary government hospital.
Methods: We conducted a retrospective cohort study. Medical charts of pediatric patients with suspected or confirmed OSA who were admitted for tonsillectomy or adenotonsillectomy from January 1, 2016 to December 31, 2020 were retrieved and reviewed.
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