Physiology-Based Modeling May Predict Surgical Treatment Outcome for Obstructive Sleep Apnea | Zendy

Yanru Li | Zendy; Jingying Ye | Zendy; Demin Han | Zendy; Xin Cao | Zendy; Ding Xiu | Zendy; Yuhuan Zhang | Zendy; Wen Xu | Zendy; Jeremy E. Orr | Zendy; Rachel Jen | Zendy; Scott A. Sands | Zendy; Atul Malhotra | Zendy; Robert L. Owens | Zendy

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Physiology-Based Modeling May Predict Surgical Treatment Outcome for Obstructive Sleep Apnea

Author(s) -

Yanru Li,

Jingying Ye,

Demin Han,

Xin Cao,

Ding Xiu,

Yuhuan Zhang,

Wen Xu,

Jeremy E. Orr,

Rachel Jen,

Scott A. Sands,

Atul Malhotra,

Robert L. Owens

Publication year - 2017

Publication title -

journal of clinical sleep medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.529

H-Index - 92

eISSN - 1550-9397

pISSN - 1550-9389

DOI - 10.5664/jcsm.6716

Subject(s) - medicine , obstructive sleep apnea , sleep apnea , sleep (system call) , intensive care medicine , outcome (game theory) , physical therapy , emergency medicine , mathematics , mathematical economics , computer science , operating system

To test whether the integration of both anatomical and nonanatomical parameters (ventilatory control, arousal threshold, muscle responsiveness) in a physiology-based model will improve the ability to predict outcomes after upper airway surgery for obstructive sleep apnea (OSA).

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