Literature DB >> 21700685

The impact of sleep consultation prior to a diagnostic polysomnogram on continuous positive airway pressure adherence.

Sushmita Pamidi1, Kristen L Knutson1, Farbod Ghods1, Babak Mokhlesi2.   

Abstract

BACKGROUND: Polysomnograms (PSGs) are routinely ordered by nonsleep specialists. However, it is unknown whether a sleep specialist consultation prior to a diagnostic PSG influences adherence to continuous positive airway pressure (CPAP) therapy.
METHODS: This study was done at the University of Chicago Sleep Disorders Center and included 403 patients with obstructive sleep apnea who had CPAP adherence data available. CPAP was set up at home, and objective adherence was remotely monitored during the first 30 days of therapy. Physicians who ordered PSGs were divided into two groups: sleep specialists and nonsleep specialists.
RESULTS: Patients were aged 52.5 ± 14 years, 47% were men, and 54% were African American. Mean daily CPAP use was greater in patients who were referred by sleep specialists (n = 105, 279 ± 179 min/d) than in patients referred by nonsleep specialists (n = 298, 219 ± 152 min/d, P = .005). In the linear regression model adjusting for several covariates, only two predictors were significantly associated with CPAP adherence. A sleep specialist consultation prior to the diagnostic PSG was associated with 58.2 min more per day (P = .002), and African American race was associated with 56.0 min less per day (P = .002) of CPAP use.
CONCLUSIONS: In this cohort study, CPAP adherence was significantly higher with a sleep specialist consultation prior to the diagnostic PSG. In addition, African American race was associated with worse adherence to therapy. A better understanding of predictors of CPAP adherence may be useful in identifying patients who may benefit from a sleep specialist consultation prior to ordering a diagnostic PSG.

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Mesh:

Year:  2011        PMID: 21700685     DOI: 10.1378/chest.11-0709

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


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