New steps forward for obstructive sleep apnoea in the era of precision medicine

Precision medicine approaches in obstructive sleep apnoea: The role of dentist-sleep physician partnerships

Obstructive Sleep Apnoea (OSA) is a common heterogenous sleep disorder that is associated with a wide range of comorbidities and consequences, including the development of neurocognitive and cardiometabolic disorders. The heterogeneity of OSA necessitates a precision medicine approach to accurately diagnose this condition and to effectively manage patients. One of the primary models of precision medicine is described by the P4 approach of predicting those who are susceptible to disease, preventing the occurrence of disease, personalizing treatment, and encouraging patients to participate in their individual healthcare journey. Recent advances in oral appliance therapy and OSA monitoring techniques have fostered an exciting opportunity for enhanced collaboration between dentists and sleep physicians to optimize OSA precision medicine care. This review aims to discuss the sources of heterogeneity among OSA patients, provide an overview of the growing applications of oral appliance therapy and tailored monitoring programs for OSA that are shifting treatment to a more personalized and participatory model of care, and outline the pivotal role of dentists in managing patients with OSA.

Obstructive sleep apnoea and adherence to continuous positive airway therapy among Australian women

BACKGROUND

Clinical characteristics of women with different obstructive sleep apnoea (OSA) severity and adherence to continuous positive airway pressure (CPAP) therapy have not been previously explored.

AIMS

To assess OSA prevalence, predictors, clinical and polysomnographic (PSG) characteristics and adherence to CPAP therapy among adult Australian women in a retrospective study.

METHODS

All female patients who underwent a diagnostic PSG between 2014 and 2015 were included. CPAP adherence was assessed during the study period between 2018 and 2019 using multiple regression models.

RESULTS

Among a total of 591 women included in this study (Aboriginal, n = 86), OSA was diagnosed in 458/591 (78%) patients; mild, moderate and severe OSA was present in 44%, 27% and 29% respectively. Older age, higher BMI and hypertension predicted the presence and severity of OSA. The Epworth Sleepiness Scale (ESS) score was not significantly different with (8 (5, 12)) or without (10 (5, 13)) OSA. PSG showed the rapid eye movement (REM) sleep-associated apnoea-hypopnea index (AHI) was higher with all severity of OSA. Adherence to CPAP therapy was noted in 171 (57%) patients; 47% mild, 57% moderate and 63% with severe OSA respectively. Three multiple regression models (clinical, PSG parameters, OSA severity, combined (clinical and PSG)) showed the combined model had the strongest predictive value and demonstrated that higher ESS and more severe oxygen desaturation were associated with CPAP adherence irrespective of OSA severity.

CONCLUSIONS

Older age, higher BMI and the presence of hypertension predicted the presence of OSA. The REM sleep-related AHI was higher. Adherence to CPAP was associated with symptomatic OSA and severe oxygen desaturation.