Alternative Scoring Models of STOP-Bang Questionnaire Improve Specificity To Detect Undiagnosed Obstructive Sleep Apnea | Zendy

Frances Chung | Zendy; Yiliang Yang | Zendy; Russell E. Brown | Zendy; Pu Liao | Zendy

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Alternative Scoring Models of STOP-Bang Questionnaire Improve Specificity To Detect Undiagnosed Obstructive Sleep Apnea

Author(s) -

Frances Chung,

Yiliang Yang,

Russell E. Brown,

Pu Liao

Publication year - 2014

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.4022

Subject(s) - medicine , obstructive sleep apnea , sleep apnea , sleep (system call) , apnea , polysomnography , physical therapy , intensive care medicine , computer science , operating system

Obstructive sleep apnea (OSA) is common among surgical patients. The STOP-Bang questionnaire is a validated screening tool with a high sensitivity. However, its moderate specificity may yield fairly high false positive rate. We hypothesized that the specific combinations of predicting factors in the STOP-Bang questionnaire would improve its specificity.

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