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Diagnostic Accuracy of Obstructive Airway Adult Test for Diagnosis of Obstructive Sleep Apnea

By Giulio Gasparini, Claudio Vicini, Michele De Benedetto, Fabrizio Salamanca, Giovanni Sorrenti, Mario Romandini, Marcello Bosi, Gianmarco Saponaro, Enrico Foresta, Andreina Laforã¬, Giuseppe Meccariello, Alessandro Bianchi, Domenico Maurizio Toraldo, Aldo Campanini, Filippo Montevecchi, Grazia Rizzotto, Daniele Cervelli, Alessandro Moro, Michele Arigliani, Riccardo Gobbi and Sandro Pelo


Rationale. The gold standard for the diagnosis of Obstructive Sleep Apnea (OSA) is polysomnography, whose access is however reduced by costs and limited availability, so that additional diagnostic tests are needed. Objectives. To analyze the diagnostic accuracy of the Obstructive Airway Adult Test (OAAT) compared to polysomnography for the diagnosis of OSA in adult patients. Methods. Ninety patients affected by OSA verified with polysomnography (AHI â\u89¥ 5) and ten healthy patients, randomly selected, were included and all were interviewed by one blind examiner with OAAT questions. Measurements and Main Results. The Spearman rho, evaluated to measure the correlation between OAAT and polysomnography, was 0.72 (p < 0.01). The area under the ROC curve (95% CI) was the parameter to evaluate the accuracy of the OAAT: it was 0.91 (0.81-1.00) for the diagnosis of OSA (AHI â\u89¥ 5), 0.90 (0.82-0.98) for moderate OSA (AHI â\u89¥ 15), and 0.84 (0.76-0.92) for severe OSA (AHI â\u89¥ 30). Conclusions. The OAAT has shown a high correlation with polysomnography and also a high diagnostic accuracy for the diagnosis of OSA. It has also been shown to be able to discriminate among the different degrees of severity of OSA. Additional large studies aiming to validate this questionnaire as a screening or diagnostic test are needed

Topics: Adult, Aged, Diagnosis, Computer-Assisted, Female, Humans, Italy, Male, Middle Aged, Observer Variation, Polysomnography, Reproducibility of Results, Sensitivity and Specificity, Sleep Apnea, Obstructive, Diagnostic Self Evaluation, Severity of Illness Index, Surveys and Questionnaires, Immunology and Microbiology (all), Biochemistry, Genetics and Molecular Biology (all)
Year: 2015
DOI identifier: 10.1155/2015
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