Abstract
Clinical application of Chinese version of cognitive assessment scale for stroke patients in a non-stroke population
  
DOI:10.3870/zgkf.2025.05.006
EN KeyWords: cognitive assessment scale for stroke patients  non-stroke populations  mild cognitive impairment  cognitive function screening
Fund Project:国家重点研发计划(2020YFC2008505)
作者单位
许哲源 1.南京医科大学康复医学院南京 2111664.南京医科大学附属逸夫医院南京 211100 
何梦霏 2.溧阳市中医医院江苏 常州 213399 
王梦寰 3.南京师范大学文学院南京 210023 
林枫 1.南京医科大学康复医学院南京 2111664.南京医科大学附属逸夫医院南京 211100 
江钟立 1.南京医科大学康复医学院南京 2111664.南京医科大学附属逸夫医院南京 211100 
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EN Abstract:
  Objective: To investigate the applicability of Chinese version of cognitive assessment scale for stroke patients (C-CASP) in the cognitive function screening for non-stroke populations, improving the cognitive function screening system. Methods: C-CASP, mini-mental state examination (MMSE), and Montreal cognitive assessment (MoCA) were used to evaluate the cognitive function in 109 non-stroke general population. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC), Youden index, Pearson correlation coefficient, and Kappa value were calculated to analyze the application value of these scales. Results: When the optimal cutoff value of C-CASP was set at 34 points, the sensitivity was 76.9%, the specificity was 89.2%, and AUC was 0.905 (95% CI: 0.831-0.978, P<0.001). The detection rates for cognitive impairment using C-CASP, MMSE, and MoCA were respectively 19.3%, 4.6%, and 23.9%. There were differences in assessment time among the three scales (P<0.01). The correlation coefficients between the total scores of C-CASP and MMSE and MoCA were 0.789 and 0.796, respectively (all P<0.001). The correlation coefficient between the total score of MMSE and MoCA was 0.726 (P<0.001). The detection results of C-CASP and MoCA showed good agreement (Kappa value=0.703), while the agreement between C-CASP and MMSE was moderate (Kappa value=0.335). Linear regression analysis indicated that age and years of education affected the scores of cognitive scales. Scores for the “Naming”, “Comprehension” and “Line Bisection” items of the C-CASP, the “Memory” item of the MMSE and the “Orientation” item of the MoCA, showed no statistically significant differences across age and years of education groups. However, for the remaining items, younger adults (≤44 years old) scored significantly higher than older adults (>44 years old) (P<0.05,0.01), and individuals with higher education levels (>12 years) scored significantly higher than those with lower education levels (≤12 years) (P<0.05,0.01). Conclusion: Using a cutoff score of 34, C-CASP can effectively identify individuals with mild cognitive impairment (MCI) in non-stroke populations. The cognitive thresholds vary among the three scales, each holding its specific emphasis. The C-CASP is appropriate for cognitive function screening in middle-aged and elderly non-stroke populations with lower levels of education.
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