We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Factors Affecting CPAP Adherence in an OSA Population during the First Two Years of the COVID-19 Pandemic.
- Authors
Lykouras, Dimosthenis; Zarkadi, Eirini; Koulousousa, Electra; Lagiou, Olga; Komninos, Dimitrios; Tzouvelekis, Argyris; Karkoulias, Kyriakos
- Abstract
Background: Obstructive sleep apnea (OSA) is a common disorder associated with major cardiovascular and neurocognitive sequelae. Continuous positive airway pressure (CPAP) is the standard treatment for OSA. The aim of this study was to investigate the prevalence and associations of long-term CPAP adherence in newly diagnosed OSA patients. Methods: We enrolled patients who were diagnosed with OSA during the COVID-19 pandemic. Adherence was defined as CPAP use ≥4 h per night on ≥70% of nights over 30 consecutive days. Patient demographics were retrieved from medical records, and CPAP adherence at 6 months and 1 year after initiation was monitored. Results: Overall, 107 patients were included in the analysis. A number of 73 (68%) and 63 (59%) patients were adherent to CPAP treatment at 6 months and 12 months accordingly. Among the factors examined and analyzed (age, gender, BMI, Apnea–Hypopnea Index (AHI)), no significant correlation was found. Further analysis revealed the potential role of comorbidities. CPAP compliance at 6 months was shown to be associated with better CPAP adherence at 12 months. Conclusions: CPAP adherence at 6 months is correlated to long-term adherence to treatment. Therefore, early close follow-up is important. Further prospective studies are needed to identify other potential predictors.
- Subjects
SLEEP apnea syndrome treatment; CONTINUOUS positive airway pressure; PATIENT compliance; T-test (Statistics); SCIENTIFIC observation; INTERVIEWING; RETROSPECTIVE studies; DISEASE prevalence; CHI-squared test; MANN Whitney U Test; MULTIVARIATE analysis; DESCRIPTIVE statistics; TELEMEDICINE; MEDICAL records; ACQUISITION of data; RESEARCH methodology; STATISTICS; POLYSOMNOGRAPHY; SOCIODEMOGRAPHIC factors; DATA analysis software; COVID-19 pandemic; TIME
- Publication
Healthcare (2227-9032), 2024, Vol 12, Issue 17, p1772
- ISSN
2227-9032
- Publication type
Article
- DOI
10.3390/healthcare12171772