The Contribution of Sleep Texture in the Characterization of Sleep Apnea
Obstructive sleep apnea (OSA) is multi-faceted world-wide-distributed disorder exerting deep effects on the sleeping brain. In the latest years, strong efforts have been dedicated to finding novel measures assessing the real impact and severity of the pathology, traditionally trivialized by the simp...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/13/13/2217 |
| _version_ | 1797591877279547392 |
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| author | Carlotta Mutti Irene Pollara Anna Abramo Margherita Soglia Clara Rapina Carmela Mastrillo Francesca Alessandrini Ivana Rosenzweig Francesco Rausa Silvia Pizzarotti Marcello luigi Salvatelli Giulia Balella Liborio Parrino |
| author_facet | Carlotta Mutti Irene Pollara Anna Abramo Margherita Soglia Clara Rapina Carmela Mastrillo Francesca Alessandrini Ivana Rosenzweig Francesco Rausa Silvia Pizzarotti Marcello luigi Salvatelli Giulia Balella Liborio Parrino |
| author_sort | Carlotta Mutti |
| collection | DOAJ |
| description | Obstructive sleep apnea (OSA) is multi-faceted world-wide-distributed disorder exerting deep effects on the sleeping brain. In the latest years, strong efforts have been dedicated to finding novel measures assessing the real impact and severity of the pathology, traditionally trivialized by the simplistic apnea/hypopnea index. Due to the unavoidable connection between OSA and sleep, we reviewed the key aspects linking the breathing disorder with sleep pathophysiology, focusing on the role of cyclic alternating pattern (CAP). Sleep structure, reflecting the degree of apnea-induced sleep instability, may provide topical information to stratify OSA severity and foresee some of its dangerous consequences such as excessive daytime sleepiness and cognitive deterioration. Machine learning approaches may reinforce our understanding of this complex multi-level pathology, supporting patients’ phenotypization and easing in a more tailored approach for sleep apnea. |
| first_indexed | 2024-03-11T01:43:39Z |
| format | Article |
| id | doaj.art-0962ff8e505b4b4baf06169c3053b883 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-11T01:43:39Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-0962ff8e505b4b4baf06169c3053b8832023-11-18T16:21:38ZengMDPI AGDiagnostics2075-44182023-06-011313221710.3390/diagnostics13132217The Contribution of Sleep Texture in the Characterization of Sleep ApneaCarlotta Mutti0Irene Pollara1Anna Abramo2Margherita Soglia3Clara Rapina4Carmela Mastrillo5Francesca Alessandrini6Ivana Rosenzweig7Francesco Rausa8Silvia Pizzarotti9Marcello luigi Salvatelli10Giulia Balella11Liborio Parrino12Sleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalySleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalySleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalySleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalySleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalySleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalySleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalySleep Disorders Centre, Guy’s and St Thomas’ NHS Foundation Trust, London SE1 7EH, UKSleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalySleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalySleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalySleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalySleep Disorders Center, Department of Medicine and Surgery, University Hospital of Parma, Via Gramsci 14, 43126 Parma, ItalyObstructive sleep apnea (OSA) is multi-faceted world-wide-distributed disorder exerting deep effects on the sleeping brain. In the latest years, strong efforts have been dedicated to finding novel measures assessing the real impact and severity of the pathology, traditionally trivialized by the simplistic apnea/hypopnea index. Due to the unavoidable connection between OSA and sleep, we reviewed the key aspects linking the breathing disorder with sleep pathophysiology, focusing on the role of cyclic alternating pattern (CAP). Sleep structure, reflecting the degree of apnea-induced sleep instability, may provide topical information to stratify OSA severity and foresee some of its dangerous consequences such as excessive daytime sleepiness and cognitive deterioration. Machine learning approaches may reinforce our understanding of this complex multi-level pathology, supporting patients’ phenotypization and easing in a more tailored approach for sleep apnea.https://www.mdpi.com/2075-4418/13/13/2217cyclic alternating patternsleep texturesleep apneapolysomnography |
| spellingShingle | Carlotta Mutti Irene Pollara Anna Abramo Margherita Soglia Clara Rapina Carmela Mastrillo Francesca Alessandrini Ivana Rosenzweig Francesco Rausa Silvia Pizzarotti Marcello luigi Salvatelli Giulia Balella Liborio Parrino The Contribution of Sleep Texture in the Characterization of Sleep Apnea Diagnostics cyclic alternating pattern sleep texture sleep apnea polysomnography |
| title | The Contribution of Sleep Texture in the Characterization of Sleep Apnea |
| title_full | The Contribution of Sleep Texture in the Characterization of Sleep Apnea |
| title_fullStr | The Contribution of Sleep Texture in the Characterization of Sleep Apnea |
| title_full_unstemmed | The Contribution of Sleep Texture in the Characterization of Sleep Apnea |
| title_short | The Contribution of Sleep Texture in the Characterization of Sleep Apnea |
| title_sort | contribution of sleep texture in the characterization of sleep apnea |
| topic | cyclic alternating pattern sleep texture sleep apnea polysomnography |
| url | https://www.mdpi.com/2075-4418/13/13/2217 |
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