Predictive value of clinical features for the obstructive sleep apnoea syndrome.
The advantage of being a National Referral Centre for patients with suspected obstructive sleep apnoea (OSA) was used to seek clinical factors predictive of OSA, and thus determine if the number of polysomnography tests required could be reduced. Patients were mainly primary referrals, from an island population of 3.5 million. Two hundred and fifty consecutive patients underwent clinical assessment, full polysomnography, and a detailed self-administered questionnaire. This represents one of the largest European studies, so far, utilizing full polysomnography. Fifty four percent (n = 134) had polysomnographic evidence of OSA (apnoea/hypopnoea index (AHI) > or = 15 events.h-1 sleep). Patients with OSA were more likely to be male, and had a significantly greater prevalence of habitual snoring, sleeping supine, wakening with heartburn, and dozing whilst driving. Alcohol intake, age and body mass index (BMI) were significant independent correlates of AHI. After controlling for BMI and age, waist circumference correlated more closely with AHI than neck circumference among males, while the opposite was true among females. No single factor was usefully predictive of obstructive sleep apnoea. However, combining clinical features and oximetry data, where appropriate, approximately one third of patients could be confidently designated as having obstructive sleep apnoea or not. The remaining two thirds of patients would still require more detailed sleep studies, such as full polysomnography, to reach a confident diagnosis.
Deegan
P C
PC
Dept of Respiratory Medicine, University College, Dublin, Ireland.
McNicholas
W T
WT
D000328:Adult; D015415:Biomarkers; D005260:Female; D006801:Humans; D007494:Ireland; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D010092:Oximetry; D017286:Polysomnography; D012044:Regression Analysis; D012891:Sleep Apnea Syndromes / Q000175:diagnosis* / Q000473:pathology; D011795:Surveys and Questionnaires
D015415:Biomarkers