Predicting CPAP Use and Treatment Outcomes Using Composite Indices of Sleep Apnea Severity | Zendy

Karthik Balakrishnan | Zendy; Kathryn T. James | Zendy; Edward M. Weaver | Zendy

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Predicting CPAP Use and Treatment Outcomes Using Composite Indices of Sleep Apnea Severity

Author(s) -

Karthik Balakrishnan,

Kathryn T. James,

Edward M. Weaver

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.5884

Subject(s) - epworth sleepiness scale , medicine , polysomnography , obstructive sleep apnea , sleep apnea , continuous positive airway pressure , apnea–hypopnea index , apnea , pittsburgh sleep quality index , prospective cohort study , physical therapy , anesthesia , insomnia , sleep quality , psychiatry

Measures of baseline sleep apnea disease burden (apnea-hypopnea index, Epworth Sleepiness Scale) predict continuous positive airway pressure (CPAP) adherence, but composite indices of sleep apnea severity (Sleep Apnea Severity Index, Modified Sleep Apnea Severity Index) may be more robust measures of disease burden. We tested the relative prognostic ability of each measure of sleep apnea disease burden to predict subsequent CPAP adherence and subjective sleep outcomes.

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