Validation of Cambridge-Hopkins questionnaire for diagnosing restless legs syndrome in a Chinese cohort

doi:10.16150/j.1671-2870.2018.02.009

Journal of Diagnostics Concepts & Practice ›› 2018, Vol. 17 ›› Issue (02): 165-169.doi: 10.16150/j.1671-2870.2018.02.009

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Validation of Cambridge-Hopkins questionnaire for diagnosing restless legs syndrome in a Chinese cohort

ZHANG Jing¹, CHEN Jie², MA Jianfang², XU Yi¹, HONG Jianfeng¹

1. Wuliqiao Community Health Service Center, Huangpu District, Shanghai 200023, China;
2. Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China

Received:2018-01-16 Online:2018-04-25 Published:2018-04-25

Abstract

Abstract: Objectives: To validate the application of CH-RLSq (Cambridge-Hopkins questionnaire for restless legs syndrome) in the diagnosis of Chinese RLS (restless legs syndrome) patients. Methods: Twenty-six RLS and 21 controls were enrolled in this study. RLS patients, "mimics" and healthy people were recruited from Out-patient Clinics of Department of Neurology and completed the CH-RLSq. Clinical data of RLS were also collected. The agreement of clinical RLS diagnosis with CH-RLSq diagnosis was assessed by kappa and Mcnemar tests. Results: CH-RLSq-based diagnosis was consistent with clinical diagnosis (kappa=0.745, McNemar test: P=0.216). The clinical characteristics of these RLS patients included female preference, high family history, and various concomitant diseases. Conclusion:CH-RLSq is a good screening questionnaire for diagnosing RLS in Chinese patients.

Key words: Restless legs syndrome, Cambridge-Hopkins questionnaire for restless legs syndrome, CH-RLSq, Questionnaire

CLC Number:

R742

ZHANG Jing, CHEN Jie, MA Jianfang, XU Yi, HONG Jianfeng. Validation of Cambridge-Hopkins questionnaire for diagnosing restless legs syndrome in a Chinese cohort[J]. Journal of Diagnostics Concepts & Practice, 2018, 17(02): 165-169.

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Validation of Cambridge-Hopkins questionnaire for diagnosing restless legs syndrome in a Chinese cohort

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