• Sleep medicine · Oct 2016

    Screening for obstructive sleep apnea syndrome in patients with type 2 diabetes mellitus: a prospective study on sensitivity of Berlin and STOP-Bang questionnaires.

    • Katerina Westlake, Andrea Plihalova, Martin Pretl, Zuzana Lattova, and Jan Polak.
    • 2nd Internal Medicine Department, Vinohrady Teaching Hospital, Srobarova 50, Prague, Czech Republic; Diabetology Practice Diainmed s.r.o., Slunecna 2, Prague, Czech Republic.
    • Sleep Med. 2016 Oct 1; 26: 71-76.

    BackgroundObstructive sleep apnea (OSA) is highly prevalent in patients with Type 2 diabetes mellitus representing an additional risk factor for already increased cardiovascular mortality. As cardiovascular diseases are the main cause of death in this population, there is a need to identify patients with moderate to severe OSA indicated for treatment. We aimed to evaluate the performance of the Berlin, STOP, and STOP-Bang screening questionnaires in a population of patients with Type 2 diabetes mellitus.Methods294 consecutive patients with Type 2 diabetes mellitus filled in the questionnaires and underwent overnight home sleep monitoring using a type IV sleep monitor.ResultsSevere, moderate, and mild OSA was found in 31 (10%), 61 (21%), and 121 (41%) patients, respectively. The questionnaires showed a similar sensitivity and specificity for AHI ≥ 15: 0.69 and 0.50 for Berlin, 0.65 and 0.49 for STOP, and 0.59 and 0.68 for STOP-Bang. However, the performance of the STOP-Bang questionnaire was different in men vs. women, sensitivity being 0.74 vs. 0.29 (p < 0.05) and specificity 0.56 vs. 0.82 (p < 0.05).ConclusionsEven the best-performing Berlin questionnaire failed to identify 31% of patients with moderate to severe OSA as being at high risk of OSA, thus preventing them from receiving a correct diagnosis and treatment. Considering that patients with Type 2 diabetes mellitus are at high risk of cardiovascular mortality and also have a high prevalence of moderate to severe OSA, we find screening based on the questionnaires suboptimal and suggest that OSA screening should be performed using home sleep monitoring devices.Copyright © 2016 Elsevier B.V. All rights reserved.

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