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Screening for obstructive sleep apnea in veterans with ischemic heart disease using a computer-based clinical decision-support system

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Abstract

Objectives

To assess the validity of a handheld clinical decision-support system (CDSS) in detecting obstructive sleep apnea (OSA) in veterans with ischemic heart disease against polysomnography (PSG) and to compare the diagnostic accuracy of the CDSS versus the Berlin questionnaire.

Methods

We enrolled prospectively 143 patients with underlying ischemic heart disease. Veterans with history of neurologic disease, systolic congestive heart failure, or receiving opiates were excluded from participation. Participants were asked to complete the Berlin Questionnaire and to answer all eight questions of CDSS-software. At the end of the interview, veterans were scheduled for an in-laboratory polysomnogram.

Results

Ninety one patients completed the study. The prevalence of OSA (AHI ≥5/h) was 74.7 % with a median AHI of 11.5/h (range 0–90). When compared to PSG, the CDSS and the Berlin questionnaire achieved a sensitivity of 98.5 % [95 % confidence interval (CI) 92.1–100] and 80.9 % (95 % CI 69.5–89.4) and a specificity of 86.9 % (95 % CI 66.4–97.2) and 39.1 % (95 % CI 19.7–61.5) at a threshold value of AHI ≥5 with a corresponding area under the curve of 0.93 (95 % CI 0.85–0.97) and 0.60 (95 % CI 0.49–0.70); respectively.

Conclusions

CDSS is a superior screening tool for identifying cardiac veterans with undiagnosed OSA than the BQ.

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Acknowledgments

We are indebted to Dr. Thomas Kufel and Dr. Jeffery Mador for their assistance in interpreting the sleep studies. This work was supported in part by VA Merit Review Award HSR&D 10-087-1 (AES). The opinions of the authors herein are the private views of the authors and are not to be construed as reflecting the views of the Department of Veterans Affairs.

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Correspondence to Ali A. El-Solh.

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Laporta, R., Anandam, A. & El-Solh, A.A. Screening for obstructive sleep apnea in veterans with ischemic heart disease using a computer-based clinical decision-support system. Clin Res Cardiol 101, 737–744 (2012). https://doi.org/10.1007/s00392-012-0453-1

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  • DOI: https://doi.org/10.1007/s00392-012-0453-1

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