Unknown

Dataset Information

Predicting sleep disordered breathing in outpatients with suspected OSA.


ABSTRACT:

Objective

To validate the utilities of Berlin, STOP and STOP-BANG Questionnaires, other patient characteristics, comorbidities, Epworth Sleepiness Scale (ESS), fractional exhaled nitric oxide (FENO) and blood markers for the prediction of sleep disordered breathing (SDB) on limited polygraphy.

Setting

North Glasgow Sleep Service (a tertiary referral centre).

Participants

129 consecutive patients, aged ≥16 years, referred to the sleep clinic for assessment of possible obstructive sleep apnoea.

Interventions

We selected cut-points of apnoea hypopnoea index (AHI) of ≥5 and ≥15/h from their home polygraphy and determined associations of these with individual symptoms, questionnaire scores and other results. Receiver operating characteristic analysis and univariate

SUBMITTER: Cowan DC 

PROVIDER: S-EPMC4010842 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature