Recognition of Cognitive Dysfunction in Cerebellar Infarction: Validation of the Chinese Cerebellar Cognitive Affective Syndrome Scale

Author:

Liu Qi1,Liu Chang1,Nan Shanji2,Wang Peng2,Zhang Yumei3,Chen Yu4ORCID

Affiliation:

1. Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

2. Department of Neurology, The Second Hospital of Jilin University, Jilin, China.

3. Department of Rehabilitation, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

4. Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California, USA.

Abstract

Abstract The cerebellar cognitive affective syndrome scale (CCAS-s) has been developed to detect cognitive deficits in cerebellar disorders. This study aimed to validate the Chinese version of CCAS-s in patients with cerebellar infarction, explore the effect of age and education on it, and examine the relation between cognitive deficits and motor syndromes. Forty-five patients with acute cerebellar infarction and 30 age-, sex-, and education-matched healthy controls underwent cognitive and motor function assessment. Reliability and validity of the Chinese CCAS-s were evaluated. The Chinese CCAS-s showed acceptable reliability and validity in cerebellar infarction with moderate internal consistency and high discriminative ability. Patients showed significant impairments in semantic fluency, phonemic fluency, verbal recall, go/no-go, and affect regulation. Based on original cut-offs, the sensitivity of the Chinese CCAS-s to identify possible/probable/definite CCAS was 80.0%/53.3%/40.0% and the specificity was 40.0%/80.0/96.7%. The pass/fail diagnostic cut-off scores for each test of the Chinese CCAS-s were then adjusted. The CCAS-s total score was negatively associated with age and education and positively associated with fine motor skills. The Chinese CCAS-s is a useful tool to detect cognitive impairments in cerebellar infarction. The cut-off adaptions and age and education-dependent reference values will be important future directions to address.

Publisher

Research Square Platform LLC

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