Polygraphy as a new screening method for obstructive sleep apnea in patients with atrial fibrillation?

Abstract Background Obstructive sleep apnea (OSA) is a modifiable risk factor of atrial fibrillation (AF) but is underdiagnosed in these patients. According to the 2020 European Society of Cardiology guidelines for the diagnosis and management of AF, it seems reasonable to test for OSA in symptomatic AF patients before initiation of rhythm control therapy. A good OSA screening pathway is lacking in the guidelines and in daily clinical practice in most centers today. Polysomnography (PSG) is the gold standard for diagnosing OSA but it is not an ideal screening method, due to its expensiveness, labour-intensiveness and limited availability. Purpose The aim of this study was to validate and examine the performance of different (cardiorespiratory) polygraphy (PG) devices, used with their automated algorithm to detect OSA in an AF cohort, compared with PSG as gold standard. Methods Prospective study with three PGs (ApneaLink Air (ALA), SOMNOtouch RESP (STR) and SpiderSAS (SpS) combined with ResMed Airview-, SomnoMedics DOMINO- and Microport SYNESCOPE software respectively) in consecutive AF patients who were referred for a PSG evaluation. Patients received the three devices with instructions for use after their PSG and were requested to use each one during three consecutive nights at home. Severity of OSA was classified according to the Apnea-Hypopnea Index (AHI) with 30= severe OSA. Results A total of 100 AF patients presenting for PSG were included (64.0±8.6 years, 73% male, 87% non-permanent AF, mean Body Mass Index 30.6±5.9 kg/m2, mean CHA2DS2-VASc score 2.4±1.7, mEHRA≥2 in 64%; mean AF history 5.4±5.6 years). PSG diagnosed ≥mild OSA in 90% of patients, ≥moderate in 69%, and severe OSA in 33%. Successful PG execution to determine the AHI, i.e. ≥4 hours of data on automated analysis, was obtained in 72.0%, 73.0% and 79.0% of patients with the ALA, STR and SpS respectively. In screening for clinically relevant OSA (i.e. at least moderate OSA), the PGs had an area under the curve of 0.802, 0.761 and 0.803 for the ALA, STR and SpS respectively (Figure 1). Conclusions This first analysis shows that PGs combined with an automated algorithm for AHI determination, can be used as OSA screening tools in AF patients before referral for PSG. Further optimisation is likely by choosing an appropriate AHI cut-off value for each PG. Funding Acknowledgement Type of funding sources: Public Institution(s). Main funding s