An Integrative Model of Physiological Traits Can be Used to Predict Obstructive Sleep Apnea and Response to Non Positive Airway Pressure Therapy | Zendy

Robert L. Owens | Zendy; Bradley A. Edwards | Zendy; Danny J. Eckert | Zendy; Amy S. Jordan | Zendy; Scott A. Sands | Zendy; Atul Malhotra | Zendy; David P. White | Zendy; Stephen H. Loring | Zendy; James P. Butler | Zendy; Andrew Wellman | Zendy

Open Access

An Integrative Model of Physiological Traits Can be Used to Predict Obstructive Sleep Apnea and Response to Non Positive Airway Pressure Therapy

Author(s) -

Robert L. Owens,

Bradley A. Edwards,

Danny J. Eckert,

Amy S. Jordan,

Scott A. Sands,

Atul Malhotra,

David P. White,

Stephen H. Loring,

James P. Butler,

Andrew Wellman

Publication year - 2015

Publication title -

sleep

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.222

H-Index - 207

eISSN - 1550-9109

pISSN - 0161-8105

DOI - 10.5665/sleep.4750

Subject(s) - obstructive sleep apnea , medicine , trait , population , continuous positive airway pressure , positive airway pressure , sleep apnea , physical therapy , environmental health , computer science , programming language

Both anatomical and nonanatomical traits are important in obstructive sleep apnea (OSA) pathogenesis. We have previously described a model combining these traits, but have not determined its diagnostic accuracy to predict OSA. A valid model, and knowledge of the published effect sizes of trait manipulation, would also allow us to predict the number of patients with OSA who might be effectively treated without using positive airway pressure (PAP).

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