Driving with undiagnosed obstructive sleep apnea (OSA): High prevalence of OSA risk in drivers who experienced a motor vehicle crash

Resting-state fMRI network efficiency as a mediator in the relationship between the glymphatic system and cognitive function in obstructive sleep apnea hypopnea syndrome: Insights from a DTI-ALPS investigation

INTRODUCTION

Obstructive sleep apnea hypopnea syndrome (OSAHS) is associated with cognitive impairment and physiological complications, necessitating further understanding of its mechanisms. This study investigates the relationship between glymphatic system function, brain network efficiency, and cognitive impairment in OSAHS patients using diffusion tensor image analysis along the perivascular space (DTI-ALPS) and resting-state fMRI.

MATERIALS AND METHODS

This study included 31 OSAHS patients and 34 age- and gender-matched healthy controls (HC). All participants underwent GE 3.0T magnetic resonance imaging (MRI) with diffusion tensor image (DTI) and resting-state fMRI scans. The DTI-ALPS index and brain functional networks were assessed. Differences between groups and correlations with clinical characteristics were analyzed. Additionally, the mediating role of brain network efficiency was explored. Finally, receiver operating characteristics (ROC) analysis assessed diagnostic performance.

RESULTS

OSAHS patients had significantly lower ALPS-index (1.268 vs. 1.431, p < 0.0001) and moderate negative correlation with Apnea Hypopnea Index (AHI) (r = -0.389, p = 0.031), as well as moderate positive correlation with Montreal Cognitive Assessment (MoCA) (r = 0.525, p = 0.002). Moreover, global efficiency (Eg) of the brain network was positively correlated with the ALPS-index and MoCA scores in OSAHS patients (r = 0.405, p = 0.024; r = 0.56, p = 0.001, respectively). Furthermore, mediation analysis showed that global efficiency partially mediated the impact of glymphatic system dysfunction on cognitive impairment in OSAHS patients (indirect effect = 4.58, mediation effect = 26.9 %). The AUROC for identifying OSAHS and HC was 0.80 (95 % CI 0.69 to 0.91) using an ALPS-index cut-off of 1.35.

CONCLUSIONS

OSAHS patients exhibit decreased ALPS-index, indicating impaired glymphatic system function. Dysfunction of the glymphatic system can affect cognitive function in OSAHS by disrupting brain functional network, suggesting a potential underlying pathological mechanism. Additionally, preliminary findings suggest that the ALPS-index may offer promise as a potential indicator for OSAHS.

Risk of obstructive sleep apnea among taxi-motorbike drivers in Parakou city in West Africa and associated factors with road traffic accidents

OBJECTIVES

Obstructive sleep apnea (OSA) is an underdiagnosed chronic respiratory disease, causing excessive daytime sleepiness (EDS) and road traffic accidents (RTA). This study aimed to determine the risk of OSA among taxi-motorbike drivers (TMD) and factors associated with RTA in Parakou, Benin.

METHODS

A cross-sectional comparative study was carried out between July and September 2020, including 225 TMD and 450 motorbike drivers other than TMD (non-TMD). A multiple logistic regression was then performed to determine factors associated with RTA.

RESULTS

The mean age of participants was 38.2 ± 10.2 and 36.6 ±10.9 years, respectively, for TMD and non-TMD (p = .048). The average daily working time was 10.7 ± 2.3H and 9.1±3.5H, respectively, for TMD and non-TMD (p < .001). Average sleeping time was comparable in both groups (7.5±1.4H vs 7.4±1.4H; p = .415). TMD significantly more complained of non-restorative sleep (38.7% vs 18.4%; p < .001) but less of EDS (20.0% vs 28.7%; p = .015). Abdominal obesity predominated in TMD (13.8% vs 4.4%; p < .001). An increased risk of OSA (NoSAS score ≥8) was diagnosed in 25.8% TMD and 26.7% non-TMD (p = .805). Overall, 25.8% of TMD and 18.4% of non-TMD (p = .027) reported at least one RTA in the last 12 months. After adjusted analysis, the unique factor associated with RTA was a daily sleeping pills consumption (aOR=2.2; 95%CI = 1.2-3.8; p = .006).

CONCLUSION

There is need to improve systematic screening and diagnosis of OSA in both TMD and non-TMD and reinforce the regulation and consumption of sleeping pills.

The association between obstructive sleep apnea and the risk of poor delivery events in women: A population-based nested case-control study

Purpose

To investigate the risk of poor delivery events (PDEs; premature delivery, abortion, and stillbirth) in female subjects with obstructive sleep apnea (OSA).

Methods

The study identified 8346 female subjects with PDEs as cases between January 1, 2000 and December 31, 2015 from the Longitudinal Health Insurance Database 2005 in Taiwan. A total of 33,384 controls were also identified based on frequency matching for age and year of index date. Diagnoses of OSA and PDEs were determined according to the International Classification of Diseases, 9th Revision. The risk of PDEs in female subjects with OSA was estimated with conditional logistic regression analyses.

Findings

The mean age of the 41,730 female subjects was 35.53 years. The overall incidence rate of PDEs was 506.22 per 100,000 person‐years for subjects with OSA, which was significantly higher than that for the controls (501.95 per 100,000 person‐years). The risk of PDEs was higher in subjects with OSA than in controls (adjusted odds ratio [AOR] = 1.19; 95% confidence interval [CI] [95% CI]: 1.08–1.43), including for premature delivery (AOR = 1.20; 95% CI: 1.16–1.50), and abortion (AOR = 1.19; 95% CI: 1.09–1.47). OSA showed no relation to stillbirth (AOR = 1.04; 95% CI: 0.99–1.31). The findings indicate that the longer a subject has been experiencing OSA, the higher the probability of PDEs.

Conclusions

The risk of PDEs associated with OSA was found in this study. In particular, the longer a subject has OSA, the higher the likelihood of PDEs, exhibiting a dose–response effect.

Clinical relevance

To effectively promote maternal health in clinical practice, health providers need to recognize OSA as a risk factor associated with negative pregnancy outcomes. Furthermore, OSA symptoms should be assessed and managed in all pregnant women to enable more comprehensive maternal care.

Obstructive sleep apnea and injury events in Taiwanese adults: A retrospective cohort study

PURPOSE

The aim of this study was to examine the association between obstructive sleep apnea (OSA) diagnosis and diverse types of injuries.

DESIGN

This population-based retrospective cohort study compared records from 2000 to 2013 in the Taiwan National Health Insurance Research Database.

METHODS

3025 patients identified with OSA were compared against the control cohort consisting of 12,100 age- and sex-matched patients. Cox proportional hazards regression analysis was performed to estimate the effects of OSA on injury risk.

FINDINGS

Patients with OSA exhibited a significantly higher overall incidence of injury of 2599 per 100,000 person-years compared to the control cohort (2248 per 100,000 person-years). After the confounding factors were considered, subjects with OSA showed a higher risk of injury than subjects in the control group (adjusted hazard ratio [HR] = 1.78, 95% confidence interval [CI] = 1.64-1.93). The risk of unintentional injury (traffic, poisoning, falls) and intentional injury (suicide) in the group of patients with OSA was higher than that in the controls.

CONCLUSIONS

Our study strongly supports the conclusion that adults with OSA are at increased risk of injury.

CLINICAL RELEVANCE

The present results indicate the significance of OSA as a predictor of injury risk, which will provide valuable information for clinical practice and injury prevention.

Personalized and Patient-Centered Strategies to Improve Positive Airway Pressure Adherence in Patients with Obstructive Sleep Apnea

Obstructive sleep apnea (OSA), a common sleep disorder characterized by repeated pauses in breathing during sleep, is effectively treated with positive airway pressure (PAP) therapy. The magnitude of improvements in daily functioning and reduced negative health risks are dependent on maintaining PAP adherence, which is a significant challenge. Evidence-based interventions to improve PAP use are not easily translated to clinical practice because they are labor-intensive and require specialty expertise. Further, to date, individualized care, inclusive of personalized medicine and patient- and person-centered care have been marginally incorporated in the field's understanding of OSA and PAP adherence. This integrative review describes current PAP adherence assessment processes, interventions to improve adherence, and outlines future opportunities to advance the field, particularly as it relates to individualizing care and the use of implementation science to apply evidence to practice.

Adaptive Filtering Improved Apnea Detection Performance Using Tracheal Sounds in Noisy Environment: A Simulation Study

Objective

Tracheal sounds were used to detect apnea on various occasions. However, ambient noises can contaminate tracheal sounds which result in poor performance of apnea detection. The objective of this paper was to apply the adaptive filtering (AF) algorithm to improve the quality of tracheal sounds and examine the accuracy of the apnea detection algorithm using tracheal sounds after AF.

Method

Tracheal sounds were acquired using a primary microphone encased in a plastic bell, and the ambient noises were collected using a reference microphone resting outside the plastic bell in quiet and noisy environments, respectively. Simultaneously, the flow pressure signals and thoracic and abdominal movement were obtained as the standard signals to determine apnea events. Then, the normalized least mean square (NLMS) AF algorithm was applied to the tracheal sounds mixed with noises. Finally, the algorithm of apnea detection was used to the tracheal sounds with AF and the tracheal sounds without AF. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and Cohen's kappa coefficient of apnea detection were calculated.

Results

Forty-six healthy subjects, aged 18-35 years and with BMI < 21.4, were included in the study. The apnea detection performance using tracheal sounds was as follows: in the quiet environment, the tracheal sounds without AF detected apnea with 97.2% sensitivity, 99.9% specificity, 99.8% PPV, 99.4% NPV, 99.5% accuracy, and 0.982 kappa coefficient. The tracheal sounds with AF detected apnea with 98.2% sensitivity, 99.9% specificity, 99.4% PPV, 99.6% NPV, 99.6% accuracy, and 0.985 kappa coefficient. While in the noisy environment, the tracheal sounds without AF detected apnea with 81.1% sensitivity, 96.9% specificity, 85.1% PPV, 96% NPV, 94.2% accuracy, and 0.795 kappa coefficient and the tracheal sounds with AF detected apnea with 91.5% sensitivity, 97.4% specificity, 88.4% PPV, 98.2% NPV, 96.4% accuracy, and 0.877 kappa coefficient.

Conclusion

The performance of apnea detection using tracheal sounds with the NLMS AF algorithm in the noisy environment proved to be accurate and reliable. The AF technology could be applied to the respiratory monitoring using tracheal sounds.