ArticleNature and science of sleep2022
Clinical Predictors of Mixed Apneas in Patients with Obstructive Sleep Apnea (OSA).
Article in Nature and science of sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Analytical amplitude/phase markers for neurological sleep apnea events.Neurobiology of sleep and circadian rhythms · 2026Article
- The upper airway in obstructive sleep apnoea: state of the art.European respiratory review : an official journal of the European Respiratory Society · 2026Review
- Integrative analysis of candidate MicroRNAs and gene targets for OSA management using in silico and in-vitro approach.Biotechnology notes (Amsterdam, Netherlands) · 2025Article
- Construction and evaluation of a predictive model for the types of sleep respiratory events in patients with OSA based on hypoxic parameters.Sleep & breathing = Schlaf & Atmung · 2024Article
- Central and mixed apneas in children with obstructive sleep apnea: effect of adenotonsillectomy.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024Observational
- Obstructive Sleep Apnea in Pregnancy: A Comprehensive Review of Maternal and Fetal Implications.Neurology international · 2024Review
- Development and application of a machine learning-based predictive model for obstructive sleep apnea screening.Frontiers in big data · 2024Article
- Assessing the contribution of mild high-altitude exposure to obstructive sleep apnea-hypopnea syndrome comorbidities.Frontiers in neurology · 2023Article
- Incorporating neck circumference or neck-to-height ratio into the GOAL questionnaire to better detect and describe obstructive sleep apnea with application to clinical decisions.Frontiers in neuroscience · 2022Article
- Development and assessment of a risk prediction model for moderate-to-severe obstructive sleep apnea.Frontiers in neuroscience · 2022Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Mixed events in obstructive sleep apnea (OSA) patients (mixed-OSA) indicate respiratory regulation instability and are essential for OSA pathogenesis and prognosis. It also shows a decreased compliance with continuous positive airway pressure (CPAP). Using predictors to identify mixed-OSA has significant clinical guidance for OSA precise diagnosis and treatment. This study aimed to establish a simple and accessible method for rapid screening of mixed-OSA, thus promoting OSA precise diagnosis. Patients and Methods: A total of 907 patients with suspected OSA were screened, of which 513 OSA patients, including 344 with pure-OSA and 169 with mixed-OSA, were finally included in the study. The clinical characteristics and polysomnography (PSG) parameters of the two OSA groups were compared. Multivariate logistic regression analysis was used to investigate the factors affecting the morbidity of mixed-OSA. The receiver operating characteristic (ROC) curve was used to explore if some convenient PSG parameters can be used to predict mixed-OSA. Results: About 33% of OSA patients were identified as mixed-OSA. Multivariate logistic regression analysis showed that apnea hypopnea index (AHI) and lowest oxygen saturation (LSO Conclusion: Our research found that AHI > 47 or LSO
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