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A predictive model using pulmonary function markers identified snorers at low risk for sleep apnoea syndrome

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 QUESTION: In obese patients who snore, can a predictive model that uses pulmonary function markers identify those who are at low risk for sleep apnoea syndrome (SAS)?


Development and validation of a predictive model by using logistic regression.


Sleep clinic in Créteil, France.


168 obese patients (80% men) who attended the sleep clinic for snoring and suspected SAS (development) and 101 similar patients for validation. Body mass index (BMI) was between 25 and 35 kg/m2 (mean 29 kg/m2). Exclusion criteria were alcoholism, use of hypnotic medication, upper respiratory tract disorders, previous treatment for SAS, cardiopulmonary or neuromuscular disease, or airway obstruction.

Description of prediction guide

All patients received polysomnography (PSG) (SAS was defined as a combined apnoea plus hypopnoea index [AHI] of ≥ 15 events/h of sleep) and pulmonary function tests (spirometry, arterial …

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  • Source of funding: not stated.

  • For correspondence: Dr F Zerah-Lancner, Service de Physiologie-Explorations Fonctionnelles, Hôpital Henri Mondor, Henri Mondor, 94010 Créteil, France. Fax +33 149 812 667.