title: [Pre-test probability of obstructive sleep apnea].
abstract: The obstructive sleep apnea syndrome (OSAS) is a condition characterized by repeated breathing pauses during sleep and associated with sleep fragmentation, intermittent hypoxia and increased, cardiovascular risk. The diagnosis of OSAS requires polysomnography, an expensive and time consuming technique, which still represents the gold-standard method. Several predictive mathematical models have been developed for the prediction of OSAS. These models combine subjective parameters (such as sleepiness, witnessed apneas and snoring), morphometric data (body mass index, neck circumference and cephalometric measures), associated co morbidities (such as hypertension), and oximetry data.
authors.affiliation: UMF Gr. T. Popa Iaşi. sinziana_lovin@yahoo.com
authors.forename: Sînziana
authors.initials: S
authors.lastname: Lovin
authors.forename: Dan
authors.initials: D
authors.lastname: Veale
authors.forename: Andrei
authors.initials: A
authors.lastname: Cernomaz
authors.forename: Traian
authors.initials: T
authors.lastname: Mihăescu
mesh_terms: D015992:Body Mass Index; D006801:Humans; D016015:Logistic Models; D010092:Oximetry; D017286:Polysomnography; D011237:Predictive Value of Tests; D011336:Probability; D012129:Respiratory Function Tests; D012680:Sensitivity and Specificity; D020181:Sleep Apnea, Obstructive / Q000175:diagnosis* / Q000503:physiopathology / Q000628:therapy; D012913:Snoring / Q000503:physiopathology; D011795:Surveys and Questionnaires