Proper and effective management of obstructive sleep apnea (OSA) in elderly patients represents an important yet under-researched therapeutic target. Therefore, the main purpose of our research was to employ age stratification to analyse sleep quality and sleep fragmentation, the daily sleepiness, OSA severity and CPAP compliance in elderly. Conforming to the inclusion criteria of minimum 70 years of age at the time of polysomnography and CPAP titration night a total number of 162 elderly patients was included, median age 73,00±4 (MED±IQR). The comparison group consisted of 448 adult subjects under the age of 70 years old, median age 54,00±14,00 (MED±IQR). Sleep fragmentation in elderly was promoted to suboptimal CPAP adherence, as the probability of CPAP use ≥ 4 hours per day was less than 20%. Overall CPAP compliance hours in the elderly group achieved 3,991±3,804 hours/day with bigger variation in between the subjects versus 5,547±3,465 hours/day for the controls, (MED±IQR, p<0,001). Despite naturally occurring sleep fragmentation worsened by OSA, less than 30% of elderly patients would score ≥ 10 points on Epworth sleepiness scale. The study emphasizes acute need for standardized age-specific diagnostic tools to address different perception of daily drowsiness and sleepiness by older people. Further, it underlines the importance of early recognition of possible comorbid OSA and insomnia and suggest paying more attention to “non-obese phenotype” in the subgroup of elderly patients with suspected OSA. Elderly patients might also need development of more flexible CPAP compliance criteria; however, those must be standardized and objective.

Patients with comorbid neurotic and anxiety disorders are more receptive of the discomfort accompanying continuous positive airway pressure therapy than average obstructive sleep apnea patients. The purpose of the study was to analyze short-term and long-term continuous positive airway pressure therapy adherence data of patients with obstructive sleep apnea and comorbid anxiety and stress-related dyssomnias, as this group of disorders is expected to rise in the post-covid era. Study retrospectively analyzed clinical outcomes of obstructive sleep apnea patients. All subjects with obstructive sleep apnea were diagnosed based on in-lab video polysomnography, further referred to CPAP titration and were invited for regular follow-up visits. The results showed that subjects with comorbid obstructive sleep apnea and anxiety-related disorders used ventilation therapy more hours per day (6,690 hours/day vs. 5,000 hours/day, ****p<0,0001, anxiety (n=19) vs. controls (n=60)). Patients from the anxiety group remained longer in our therapy program (7,086 years vs. 2,905 years, ****p<0,0001) and had markedly better control over their weight, as the body-mass index of the control group increased by +1,065 kg/m2 per year and the body-mass index in the examination group increased only by +0,296 kg/m2 every year. Our data document that obstructive sleep apnea patients on ventilation therapy, who do not have enough control over their increasing body weight might highly benefit from therapy approaches similar to patients with anxiety-related dyssomnias and that management of obstructive sleep apnea is not an obstacle in concomitant treatment of neurotic and anxiety-related dyssomnias.

Recent advancements in the screening, diagnosis, and management of obstructive sleep apnea (OSA) have significantly improved patient outcomes. For screening, the use of home sleep apnea testing (HSAT) has become more prevalent, offering a convenient and cost-effective alternative to traditional in-lab polysomnography. HSAT devices have shown good specificity and sensitivity, particularly in patients with a high pre-test probability of OSA. In terms of diagnosis, advancements in wearable technology and mobile health applications have enabled continuous monitoring of sleep patterns and respiratory parameters. These tools provide valuable data that can be used to identify OSA more accurately and promptly. Additionally, machine learning algorithms are being integrated into diagnostic processes to enhance the accuracy of OSA detection by analyzing large datasets and identifying patterns indicative of the condition. Management of OSA has also seen significant progress. Continuous positive airway pressure (CPAP) therapy remains the gold standard, but new developments include auto-adjusting CPAP devices that optimize pressure settings based on real-time feedback. Mandibular advancement devices and hypoglossal nerve stimulation are emerging as effective alternatives for patients who are CPAP-intolerant. Furthermore, lifestyle interventions such as weight management, positional therapy, and exercise have been shown to complement medical treatments, leading to better overall outcomes. This review article highlights these advancements that collectively contribute to improved patient adherence, reduced symptoms, and enhanced quality of life for individuals with OSA.