ArticleFrontiers in physiology2022
A Novel Quantitative Arousal-Associated EEG-Metric to Predict Severity of Respiratory Distress in Obstructive Sleep Apnea Patients.
Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Differential associations of arousals and respiratory events on oxygen desaturation and resaturation parameters in sleep.Sleep & breathing = Schlaf & Atmung · 2026Article
- Dose-response relationship between obstructive sleep apnoea severity and C-reactive protein levels: data from the European Sleep Apnoea Database.ERJ open research · 2026Article
- Classification and automatic scoring of arousal intensity during sleep stages using machine learning.Scientific reports · 2024Article
- Heart Rate Variability as a Surrogate Marker of Severe Chronic Coronary Syndrome in Patients with Obstructive Sleep Apnea.Diagnostics (Basel, Switzerland) · 2023Article
- Utilization of the GOAL questionnaire as a standardized screening tool for obstructive sleep apnea.Scientific reports · 2023Article
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
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Abstract
Respiratory arousals (RA) on polysomnography (PSG) are an important predictor of obstructive sleep apnea (OSA) disease severity. Additionally, recent reports suggest that more global indices of desaturation such as the hypoxic burden, namely the area under the curve (AUC) of the oxygen saturation (SaO2) PSG trace may better depict the desaturation burden in OSA. Here we investigated possible associations between a new metric, namely the AUC of the respiratory arousal electroencephalographic (EEG) recording, and already established parameters as the apnea/hypopnea index (AHI), arousal index and hypoxic burden in patients with OSA. In this data-driven study, polysomnographic data from 102 patients with OSAS were assessed (32 female; 70 male; mean value of age: 52 years; mean value of Body-Mass-Index-BMI: 31 kg/m
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