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Diagnostic accuracy of REM sleep behaviour disorder screening questionnaire: a meta-analysis

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Abstract

A screening tool can greatly facilitate the identification of individuals with rapid eye movement (REM) sleep behaviour disorder (RBD). Currently, the REM sleep behaviour disorder screening questionnaire (RBDSQ) is widely used, but its diagnostic accuracy has varied across previous studies. The aim of the present study was to systematically assess the diagnostic performance of the RBDSQ. We comprehensively searched for studies that evaluated the diagnostic performance of the RBDSQ. A bivariate mixed-effects model was used to summarize the diagnostic accuracy of the RBDSQ. Subgroup analyses were performed according to the study design and the different populations included in the studies. Ten studies were included. Using a cutoff value of 5, the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 0.91 (95% CI 0.85–0.95), 0.77 (95% CI 0.66–0.85), 4.00 (95% CI 2.60–6.10), 0.12 (95% CI 0.07–0.19), and 34 (95% CI 16–71), respectively. A subgroup analysis revealed that the RBDSQ had excellent diagnostic accuracy for RBD screening in the general population. However, its performance in specific patient populations, especially patients with Parkinson’s disease, was less satisfactory. In conclusion, the RBDSQ is an effective diagnostic screening tool for RBD in the general population, but its performance in subjects with specific neurological disorders requires more comprehensive assessments.

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Acknowledgements

This research was supported by two grants from Beijing Hospital, National Center of Gerontology, China (Grant Nos. bj-2015-027 and 211-2016009).

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Authors and Affiliations

  1. Department of Neurology, Beijing Hospital, National Center of Gerontology, No. 1 DaHua Road, Dong Dan, Beijing, 100730, People’s Republic of China

    Kai Li, Shu-Hua Li, Wen Su & Hai-Bo Chen

  2. Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, Dresden University of Technology, Fetscherstr. 74, 01307, Dresden, Germany

    Kai Li

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  1. Kai Li
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  2. Shu-Hua Li
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Correspondence to Wen Su or Hai-Bo Chen.

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Li, K., Li, SH., Su, W. et al. Diagnostic accuracy of REM sleep behaviour disorder screening questionnaire: a meta-analysis. Neurol Sci 38, 1039–1046 (2017). https://doi.org/10.1007/s10072-017-2886-9

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  • DOI: https://doi.org/10.1007/s10072-017-2886-9

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