Facilitators and barriers to getting obstructive sleep apnea diagnosed: perspectives from patients and their partners

Antioxidant therapies for obstructive sleep apnea: A systematic review and meta-analysis

PURPOSE

Obstructive sleep apnea (OSA) is a common clinical problem that is associated with adverse cardiovascular outcomes attributed to the oxidative stress due to sympathetic overstimulation. Treatment approaches targeting oxidative stress have been tried by multiple investigators. This systematic review and meta-analysis evaluated the efficacy and safety of such approaches.

METHODS

Pubmed and Embase databases were searched for human studies evaluating the utility of antioxidant therapies in patients with OSA.

RESULTS

A total of six studies (five randomized trials and one case-control study) were included, including 160 patients with OSA using N-acetyl cysteine, vitamin C, carbocysteine, superoxide dismutase, vitamin E, allopurinol, and their combinations. There was a significant improvement in flow-mediated dilatation (FMD) following antioxidants, with the pooled effect being 2.16 % (95% CI 1.65-2.67) using the random-effects model (I2 = 0% and p<0.001). It was also associated with a significant reduction in malondialdehyde levels and an increase in reduced glutathione (GSH) levels. There was also a significant improvement in the Epworth sleepiness scale, oxygen desaturation index, and minimum oxygen saturation during sleep without any significant adverse effects.

CONCLUSION

Antioxidant therapy in patients with OSA is associated with improved endothelial function, reduced oxidative stress, and improved sleep parameters. These results call for future multicentre studies with longer follow-ups to assess the utility of antioxidant therapy in patients with OSA.

"Count on Sleep": an OSA awareness project update

Obstructive sleep apnea (OSA) is a common, chronic sleep-related breathing disorder that affects approximately 12% of the US adult population. Greater public awareness of OSA is necessary to decrease the number of people with undiagnosed or untreated OSA and reduce the negative health consequences of unrecognized OSA. In 2021, the American Academy of Sleep Medicine initiated the "Count on Sleep" project in partnership with key stakeholders with the objective of raising the awareness of OSA among the public, health care providers, and public health officials. Four workgroups implemented strategies and completed tasks focused on increasing OSA awareness in their targeted areas to address the objectives of the project including (1) Public Awareness and Communications, (2) Provider Education, (3) Tool Development and Surveillance, and (4) a Strategic Planning workgroup that coordinated efforts across the project. Over the first 2 years, workgroups made substantial progress toward project goals including holding "listening sessions" with representatives of communities disproportionately affected by OSA and its consequences, developing resources for primary care providers that can be easily accessed and used in practice, and developing a brief survey for use in estimating and tracking OSA risk across the population. Over the first 2 project years, workgroups made significant progress in advancing efforts to increase awareness of OSA in US communities. The third year of the project will focus on dissemination of campaign materials and resources for all targeted groups, including the public, health care professionals, and public health professionals.

CITATION

Martin JL, Rowley J, Goel N, et al. "Count on Sleep": an OSA awareness project update. J Clin Sleep Med. 2024;20(2):303-307.

Patient-level factors associated with the self-report of trouble sleeping to healthcare providers in adults at high risk for obstructive sleep apnea

INTRODUCTION

In adults at risk for obstructive sleep apnea, it is unclear what patient-level factors and symptoms may influence communication with healthcare providers regarding sleep difficulties. This analysis examined associations between sociodemographic characteristics, comorbidities, and obstructive sleep apnea-related symptoms and whether adults at high risk for obstructive sleep apnea reported trouble sleeping to an healthcare provider.

METHODS

The sample included participants from the 2015-2018 National Health and Nutrition Examination Survey determined by a modified STOP-Bang to be at high risk for obstructive sleep apnea (n = 2009). Participants were asked if they had ever reported trouble sleeping to an healthcare provider. Self-reported comorbidities and obstructive sleep apnea-related symptoms (ie, snoring, snorting, gasping, or breathing cessation during sleep, daytime sleepiness, fatigue, insomnia, and nocturia) were assessed.

RESULTS

Half of the sample (50.8%) never reported trouble sleeping to an healthcare provider. Factors associated with an increased likelihood of reporting trouble sleeping included female sex, former smoker, and prediabetes or diabetes, obstructive lung disease, daytime sleepiness, insomnia, nocturia, and symptoms of snorting, gasping, and/or breathing cessation during sleep. Factors associated with a decreased likelihood of reporting trouble sleeping included Mexican American background or Asian race and having less than a high school education.

CONCLUSION

Differences in sex, race, education, comorbidities, and obstructive sleep apnea-related symptoms exist between adults at high risk for obstructive sleep apnea who have and have not reported trouble sleeping to an healthcare provider. It is important for healthcare providers to ask all adults about sleep problems, recognizing that men, minorities, and persons with lower educational attainment may be less likely to report trouble sleeping.

Design of an Intelligent Decision Support System Applied to the Diagnosis of Obstructive Sleep Apnea

Obstructive sleep apnea (OSA), characterized by recurrent episodes of partial or total obstruction of the upper airway during sleep, is currently one of the respiratory pathologies with the highest incidence worldwide. This situation has led to an increase in the demand for medical appointments and specific diagnostic studies, resulting in long waiting lists, with all the health consequences that this entails for the affected patients. In this context, this paper proposes the design and development of a novel intelligent decision support system applied to the diagnosis of OSA, aiming to identify patients suspected of suffering from the pathology. For this purpose, two sets of heterogeneous information are considered. The first one includes objective data related to the patient's health profile, with information usually available in electronic health records (anthropometric information, habits, diagnosed conditions and prescribed treatments). The second type includes subjective data related to the specific OSA symptomatology reported by the patient in a specific interview. For the processing of this information, a machine-learning classification algorithm and a set of fuzzy expert systems arranged in cascade are used, obtaining, as a result, two indicators related to the risk of suffering from the disease. Subsequently, by interpreting both risk indicators, it will be possible to determine the severity of the patients' condition and to generate alerts. For the initial tests, a software artifact was built using a dataset with 4400 patients from the Álvaro Cunqueiro Hospital (Vigo, Galicia, Spain). The preliminary results obtained are promising and demonstrate the potential usefulness of this type of tool in the diagnosis of OSA.

Experiences with Continuous Positive Airway Pressure Among African American Patients and their Bed Partners

RATIONALE

Despite having a higher prevalence and severity of obstructive sleep apnea (OSA), African Americans have lower adherence to continuous positive airway pressure (CPAP) compared to other groups. Information regarding challenges faced by African Americans prescribed CPAP are lacking.

OBJECTIVES

To determine the barriers and facilitators to optimal management of OSA with CPAP among African Americans and to understand the role bed partners may play.

METHODS

We conducted semi-structured in-depth interviews via video conferencing with African American patients of an urban safety-net health care system with OSA prescribed CPAP and their bed partners. Recruitment continued until theoretical saturation was achieved. Verbatim transcripts were analyzed using the principles of thematic analysis.

RESULTS

15 patients (12 women) diagnosed with OSA and prescribed CPAP a mean 2.6 years prior along with 15 bed partners (3 women) were individually interviewed. Four themes emerged regarding impediments to CPAP use: 1) inadequate education and support, 2) CPAP maintenance and hygiene, 3) inconvenient design of CPAP interfaces, and 4) impediment to intimacy. Four themes emerged as facilitators to CPAP use: 1) provider and technical support, 2) properly fitted CPAP masks, 3) active support from partner and family, and 4) experiencing positive results from CPAP.

CONCLUSIONS

African American patients with OSA and their bed partners identified several unique barriers and facilitators to CPAP use. Active involvement by bed partners was considered by both patients and partners as helpful in improving CPAP adherence. Interventions to improve OSA outcomes in this population should focus on patients and their bed partners.