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Validation of the Chinese version of the Coma Recovery Scale-Revised (CRS-R)

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posted on 2019-02-19, 07:23 authored by Ying Zhang, Jing Wang, Caroline Schnakers, Minhui He, Hong Luo, Lijuan Cheng, Fuyan Wang, Yunzhi Nie, Wangshan Huang, Xiaohua Hu, Steven Laureys, Haibo Di

Primary Objective: This study aims to validate the Chinese version of the Coma Recovery Scale-Revised (CRS-R).

Methods: One hundred sixty-nine patients were assessed with both the CRS-R and the Glasgow Coma Scale (GCS), diagnosed as being in unresponsive wakefulness syndrome (UWS, formerly known as vegetative state), minimally conscious state (MCS), or emergence from MCS (EMCS). A subgroup of 50 patients has been assessed twice by the same rater, within 24 h. Patient outcome was documented six months after assessment.

Results: The internal consistency for the CRS-R total score was excellent (Cronbach’s α = 0.84). Good test–retest reliability was obtained for CRS-R total score and subscale scores (intra-class correlation coefficient [ICC] = 0.87 and ICC = 0.66–0.84, respectively). Inter-rater reliability was high (ICC = 0.719; p < 0.01). Concurrent validity was good between CRS-R total scale and GCS total scale. Diagnostic validity was excellent compared with GCS (emerged from UWS: 24%; emerged from MCS: 28%). When considering patient outcome, diagnostic validity was good. In addition, false-positive rates have been detected for both diagnoses.

Conclusion: The Chinese version of the CRS-R is a reliable and sensitive tool and can discriminate patients in UWS, MCS, and EMCS successfully.

Funding

This work was supported by the National Natural Science Foundation of China under Grant 81471100; the National High Technology Research and Development Program of China (863 Program) under Grant 2015AA020514; the Hangzhou Normal University under Grant PD11002010002016; the Research Fund for International Young Scientists of the National Natural Science Foundation of China under Grant 811247008; the Medical Science and Technology Projects in Zhejiang Province under Grants 2013KYB213 and 2015KYA181; and the College students in Zhejiang Province Science and Technology Innovation Activities plan under Grant 2017R423055.

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