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Published in: Sleep and Breathing 2/2022

09-06-2021 | Sleep Apnea | Sleep Breathing Physiology and Disorders • Original Article

A meta-analysis of the diagnostic value of NoSAS in patients with sleep apnea syndrome

Authors: Huimin Chen, Zhenzhen Zheng, Riken Chen, Yu Zeng, Nanhong Li, Jinru Zhu, Yue Zhong, Haimin Liu, Jianmin Lu, Nuofu Zhang, Cheng Hong

Published in: Sleep and Breathing | Issue 2/2022

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Abstract

Objective

The NoSAS score is a new tool widely used in recent years to screen for obstructive sleep apnea. A number of studies have shown that the NoSAS score is more accurate than previous tools, such as the Berlin, STOP-Bang, and STOP questionnaires. Therefore, this meta-analysis assessed the diagnostic value of the NoSAS score for sleep apnea syndrome in comparison to polysomnography.

Methods

Two researchers searched the PubMed, EMBASE, Cochrane, and Web of Science databases through November 13, 2020. This paper used Endnote9.3 software to manage the literature and RevMan 5.3 and STATA12.0 software to perform the meta-analysis.

Results

A total of 10 studies were included in this meta-analysis, including 14,510 patients. The meta-analysis showed that the pooled sensitivity was 0.798 (95% CI 0.757, 0.833), the pooled specificity was 0.582 (95% CI 0.510, 0.651), the positive likelihood ratio was 1.909 (95% CI 1.652, 2.206), the negative likelihood ratio was 0.347 (95% CI 0.300, 0.403), the diagnostic OR was 5.495 (95% CI 4.348, 6.945), and the area under the SROC curve was 0.77 (95% CI 0.73, 0.80). The NoSAS score has good efficacy in identifying patients likely to have obstructive sleep apnea.

Conclusion

The NoSAS score can accurately identify patients likely to have obstructive sleep apnea. Therefore, in the absence of polysomnography, one should use the NoSAS score to evaluate patients with suspected sleep apnea syndrome.
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Metadata
Title
A meta-analysis of the diagnostic value of NoSAS in patients with sleep apnea syndrome
Authors
Huimin Chen
Zhenzhen Zheng
Riken Chen
Yu Zeng
Nanhong Li
Jinru Zhu
Yue Zhong
Haimin Liu
Jianmin Lu
Nuofu Zhang
Cheng Hong
Publication date
09-06-2021
Publisher
Springer International Publishing
Published in
Sleep and Breathing / Issue 2/2022
Print ISSN: 1520-9512
Electronic ISSN: 1522-1709
DOI
https://doi.org/10.1007/s11325-021-02410-3

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