Empirical CPAP Therapy for Suspected Obstructive Sleep Apnea in a Resource-Limited Setting

Obstructive sleep apnea (OSA) is a prevalent sleep disorder associated with severe comorbidities, including an increased risk of cardiovascular events, stroke, and premature mortality. While polysomnography (PSG) remains the gold standard for diagnosing OSA, it is time-consuming, expensive, and not readily accessible in resource-limited settings. The scarcity of sleep study centers often results in months of delay for patients with a high clinical suspicion of OSA, leaving them untreated and at an elevated risk for prolonged morbidity.

This observational cohort study, conducted at the Chest Department of Assiut University Hospital, aims to evaluate the efficacy of empirical Auto-CPAP therapy for patients waiting for diagnostic PSG. Patients presenting with a high clinical probability of OSA will undergo a comprehensive baseline evaluation. This includes a meticulous medical history, clinical examination, and anthropometric measurements to categorize Body Mass Index (BMI). Additional baseline diagnostics include a standard posteroanterior Chest X-Ray and comprehensive laboratory investigations (Lipogram, HbA1C, T3, T4, TSH, CBC, Urea, Creatinine, Liver Function Tests, and Arterial Blood Gases). Furthermore, patients will undergo spirometry testing (using a Zan 300 device) performed according to ATS-ERS 2019 criteria for acceptability and repeatability.

Clinical probability and the impact of daytime sleepiness will be quantified using standardized questionnaires, including the STOP-BANG score, the Epworth Sleepiness Scale (ESS), and the 10-item Functional Outcomes of Sleep Questionnaire (FOSQ-10). Following these baseline assessments, eligible patients will be initiated on empirical Auto-CPAP therapy utilizing a practical pressure range of 6-14 mmHg.

Patients will be monitored to evaluate clinical symptom improvement and quality of life changes during this empirical therapy phase. Once patients are able to undergo their delayed diagnostic PSG, the optimal CPAP titration pressure determined by the formal sleep study will be recorded. The study will analyze the agreement and differences between the initial empirical Auto-CPAP pressures and the final PSG-determined pressures. The data will be analyzed to explore correlations between the optimal pressure requirements and specific patient characteristics, such as BMI, neck circumference, and baseline STOP-BANG scores.