The STOP-Bang Equivalent Model and Prediction of Severity of Obstructive Sleep Apnea: Relation to Polysomnographic Measurements of the Apnea/Hypopnea Index | Zendy

Robert J. Farney | Zendy; Brandon S. Walker | Zendy; Robert M. Farney | Zendy; Gregory L. Snow | Zendy; James M. Walker | Zendy

Open Access

The STOP-Bang Equivalent Model and Prediction of Severity of Obstructive Sleep Apnea: Relation to Polysomnographic Measurements of the Apnea/Hypopnea Index

Author(s) -

Robert J. Farney,

Brandon S. Walker,

Robert M. Farney,

Gregory L. Snow,

James M. Walker

Publication year - 2011

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.1306

Subject(s) - obstructive sleep apnea , medicine , apnea–hypopnea index , polysomnography , sleep (system call) , apnea , index (typography) , hypopnea , cardiology , sleep apnea , computer science , world wide web , operating system

Various models and questionnaires have been developed for screening specific populations for obstructive sleep apnea (OSA) as defined by the apnea/hypopnea index (AHI); however, almost every method is based upon dichotomizing a population, and none function ideally. We evaluated the possibility of using the STOP-Bang model (SBM) to classify severity of OSA into 4 categories ranging from none to severe.

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