Using entropy of snoring, respiratory effort and electrocardiography signals during sleep for OSA detection and severity classification.

Study Objectives: Obstructive sleep apnea (OSA) is a very prevalent disease and its diagnosis is based on polysomnography (PSG). We investigated whether snoring-sound-, very low frequency electrocardiogram (ECG-VLF)- and thoraco-abdominal effort- PSG signal entropy values could be used as surrogate markers for detection of OSA and OSA severity classification.

Methods: The raw data of the snoring-, ECG- and abdominal and thoracic excursion signal recordings of two consecutive full-night PSGs of 86 consecutive patients (22 female, 53.

Corticoperipheral neuromuscular disconnection in obstructive sleep apnoea.

The roles of central nervous mechanisms and cortical output in obstructive sleep apnoea remain unclear. We addressed corticomuscular coupling between cortical sensorimotor areas and lower facial motor units as a mechanistic pathway and as a possible surrogate marker of corticoperipheral motor control in obstructive sleep apnoea. In this exploratory cross-sectional retrospective study, we analysed EEG (C3 and C4 leads) and chin EMG from polysomnography recordings in 86 participants (22 females; age range: 26-81 years): 27 with mild (respiratory disturbance index = 5-15 events/h), 21 with moderate (15-30 events/h) and 23 with severe obstructive sleep apnoea (>30 events/h) and 15 control subjects (<5 events/h).

Activated antimicrobial peptides due to periodontal bacteria in synovial fluid - The link between psoriatic arthritis and periodontitis?

Background: The impact of periodontal disease on systemic conditions has not been fully identified yet. Literature shows that the incidence of psoriatic arthritis in psoriasis-patients is higher in presence of periodontitis. To this day, it is not fully clear which pathophysiological mechanism lies behind this correlation.