Decision Modeling in Sleep Apnea: The Critical Roles of Pretest Probability, Cost of Untreated Obstructive Sleep Apnea, and Time Horizon | Zendy

Marilyn Moro | Zendy; M. Brandon Westover | Zendy; Jessica M. Kelly | Zendy; Matt T. Bianchi | Zendy

Open Access

Decision Modeling in Sleep Apnea: The Critical Roles of Pretest Probability, Cost of Untreated Obstructive Sleep Apnea, and Time Horizon

Author(s) -

Marilyn Moro,

M. Brandon Westover,

Jessica M. Kelly,

Matt T. Bianchi

Publication year - 2016

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.5596

Subject(s) - obstructive sleep apnea , medicine , sleep apnea , sleep (system call) , polysomnography , apnea , pre and post test probability , sleep apnea syndromes , intensive care medicine , physical therapy , cardiology , computer science , operating system

Obstructive sleep apnea (OSA) is associated with increased morbidity and mortality, and treatment with positive airway pressure (PAP) is cost-effective. However, the optimal diagnostic strategy remains a subject of debate. Prior modeling studies have not consistently supported the widely held assumption that home sleep testing (HST) is cost-effective.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research