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Erschienen in: Sleep and Breathing 4/2017

19.04.2017 | Sleep Breathing Physiology and Disorders • Original Article

Using the STOPBANG questionnaire and other pre-test probability tools to predict OSA in younger, thinner patients referred to a sleep medicine clinic

verfasst von: Michael J. McMahon, Karen L. Sheikh, Teotimo F. Andrada, Aaron B. Holley

Erschienen in: Sleep and Breathing | Ausgabe 4/2017

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Abstract

Background

The STOPBANG questionnaire is used to predict the presence of obstructive sleep apnea (OSA). We sought to assess the performance of the STOPBANG questionnaire in younger, thinner patients referred to a sleep medicine clinic.

Methods

We applied the STOPBANG questionnaire to patients referred for level I polysomnography (PSG) at our sleep center. We calculated likelihood ratios and area under the receiver operator characteristic (AUROC) curve and performed sensitivity analyses.

Results

We performed our analysis on 338 patients referred for PSG. Only 17.2% (n = 58) were above age 50 years, and 30.5 and 6.8% had a BMI above 30 and 35 years, respectively. The mean apnea-hypopnea index (AHI) was 12.9 ± 16.4 and 63.9% had an AHI ≥5. The STOPBANG (threshold ≥3) identified 83.1% of patients as high risk for an AHI ≥5, and sensitivity, specificity, positive (PPV), and negative predictive values (NPV) were 83.8, 18.0, 64.4, and 38.0%, respectively. Positive and negative likelihood ratios were poor at 1.02–1.11 and 0.55–0.90, respectively, across AHI thresholds (AHI ≥5, AHI ≥15 and AHI ≥30), and AUROCs were 0.52 (AHI ≥5) and 0.56 (AHI ≥15). Sensitivity analyses adjusting for insomnia, combat deployment, traumatic brain injury, post-traumatic stress disorder, clinically significant OSA (ESS >10 and/or co-morbid disease), and obesity did not significantly alter STOPBANG performance.

Conclusions

In a younger, thinner population with predominantly mild-to-moderate OSA, the STOPBANG Score does not accurately predict the presence of obstructive sleep apnea.
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Metadaten
Titel
Using the STOPBANG questionnaire and other pre-test probability tools to predict OSA in younger, thinner patients referred to a sleep medicine clinic
verfasst von
Michael J. McMahon
Karen L. Sheikh
Teotimo F. Andrada
Aaron B. Holley
Publikationsdatum
19.04.2017
Verlag
Springer International Publishing
Erschienen in
Sleep and Breathing / Ausgabe 4/2017
Print ISSN: 1520-9512
Elektronische ISSN: 1522-1709
DOI
https://doi.org/10.1007/s11325-017-1498-1

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