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

https://doi.org/10.1136/ebm.6.4.128

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    (2000) Am J Respir Crit Care Med 162, 2208. Zerah-Lancner F, Lofaso F, D'Ortho MP, et al.. Predictive value of pulmonary function parameters for sleep apnea syndrome.. Dec;. :. –12.
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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)?

    Design

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

    Setting

    Sleep clinic in Créteil, France.

    Patients

    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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    Footnotes

    • 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.