A Review of Current Tools Used for Evaluating the Severity of Obstructive Sleep Apnea
Wenhao Cao, Jinmei Luo, Yi Xiao Department of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of ChinaCorrespondence: Yi XiaoDepartment of Respiratory Medicine, Peking Union...
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Dove Medical Press
2020
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oai:doaj.org-article:8054f4a0559b469caa25473af704fbc82021-12-02T13:38:35ZA Review of Current Tools Used for Evaluating the Severity of Obstructive Sleep Apnea1179-1608https://doaj.org/article/8054f4a0559b469caa25473af704fbc82020-11-01T00:00:00Zhttps://www.dovepress.com/a-review-of-current-tools-used-for-evaluating-the-severity-of-obstruct-peer-reviewed-article-NSShttps://doaj.org/toc/1179-1608Wenhao Cao, Jinmei Luo, Yi Xiao Department of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of ChinaCorrespondence: Yi XiaoDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of ChinaEmail xiaoyipumch@sina.comAbstract: Obstructive sleep apnea (OSA) is a common and heterogeneous disease characterized by episodic collapse within the upper airways, which leads to reduced ventilation and adverse consequences, including hypoxia, hypercapnia, sleep fragmentation, and long-term effects such as cardiovascular comorbidities. The clinical diagnosis of OSA and its severity classification are often determined based on the apnea–hypopnea index (AHI), defining the number of apneic and hypopnea events per hour of sleep. However, the limitations of the AHI to assess disease severity have necessitated the exploration of other metrics for additional information to reflect the complexity of OSA. Novel parameters such as the hypoxic burden have the potential to better capture the main features of OSA by maximizing the information available from the polysomnogram. These emerging measures have described multidimensional qualities of sleep-disordered breathing events and breathing irregularity and will ultimately result in better management of OSA.Keywords: obstructive sleep apnea, apnea–hypopnea index, disease severity, hypoxic burden, polysomnogramCao WLuo JXiao YDove Medical Pressarticleobstructive sleep apneaapnea–hypopnea indexdisease severityhypoxic burdenpolysomnogramPsychiatryRC435-571Neurophysiology and neuropsychologyQP351-495ENNature and Science of Sleep, Vol Volume 12, Pp 1023-1031 (2020) |
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obstructive sleep apnea apnea–hypopnea index disease severity hypoxic burden polysomnogram Psychiatry RC435-571 Neurophysiology and neuropsychology QP351-495 |
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obstructive sleep apnea apnea–hypopnea index disease severity hypoxic burden polysomnogram Psychiatry RC435-571 Neurophysiology and neuropsychology QP351-495 Cao W Luo J Xiao Y A Review of Current Tools Used for Evaluating the Severity of Obstructive Sleep Apnea |
description |
Wenhao Cao, Jinmei Luo, Yi Xiao Department of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of ChinaCorrespondence: Yi XiaoDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of ChinaEmail xiaoyipumch@sina.comAbstract: Obstructive sleep apnea (OSA) is a common and heterogeneous disease characterized by episodic collapse within the upper airways, which leads to reduced ventilation and adverse consequences, including hypoxia, hypercapnia, sleep fragmentation, and long-term effects such as cardiovascular comorbidities. The clinical diagnosis of OSA and its severity classification are often determined based on the apnea–hypopnea index (AHI), defining the number of apneic and hypopnea events per hour of sleep. However, the limitations of the AHI to assess disease severity have necessitated the exploration of other metrics for additional information to reflect the complexity of OSA. Novel parameters such as the hypoxic burden have the potential to better capture the main features of OSA by maximizing the information available from the polysomnogram. These emerging measures have described multidimensional qualities of sleep-disordered breathing events and breathing irregularity and will ultimately result in better management of OSA.Keywords: obstructive sleep apnea, apnea–hypopnea index, disease severity, hypoxic burden, polysomnogram |
format |
article |
author |
Cao W Luo J Xiao Y |
author_facet |
Cao W Luo J Xiao Y |
author_sort |
Cao W |
title |
A Review of Current Tools Used for Evaluating the Severity of Obstructive Sleep Apnea |
title_short |
A Review of Current Tools Used for Evaluating the Severity of Obstructive Sleep Apnea |
title_full |
A Review of Current Tools Used for Evaluating the Severity of Obstructive Sleep Apnea |
title_fullStr |
A Review of Current Tools Used for Evaluating the Severity of Obstructive Sleep Apnea |
title_full_unstemmed |
A Review of Current Tools Used for Evaluating the Severity of Obstructive Sleep Apnea |
title_sort |
review of current tools used for evaluating the severity of obstructive sleep apnea |
publisher |
Dove Medical Press |
publishDate |
2020 |
url |
https://doaj.org/article/8054f4a0559b469caa25473af704fbc8 |
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