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Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
Published on: February 14, 2014
[Application and reliability verification of Beijing-based cognitive assessment scale of montreal in cognitive
1Department of Otolaryngology, the First People's Hospital of Huainan, Huainan, 232007, China.
Abstract:
Objective:To evaluate the cognitive function of adult OSAHS patients by MoCA-BJ, and to evaluate the reliability and efficacy of MoCA-BJ. Method:A study was conducted on the cognitive function of 94 patients with mild, moderate and severe OSAHS and 28 healthy controls using the MoCA-BJ and the simple mental state examination scale (MMSE). After 14 days, 10 subjects in the healthy control group were tested for MoCA-BJ again. The internal consistency of MoCA-BJ and the Pearson correlation coefficient were used to test the retest reliability. In addition, the simultaneous validity of MoCA-BJ was assessed by comparison with MMSE. Result:The MoCA-BJ internal consistency of the Kronbach coefficient α was reliable (0.810). The Pearson correlation coefficient test was highly reproducible (r=0.898, P<0.001). The overall score of MoCA-BJ in the control group was significantly higher than that in the OSAHS group (P<0.01). In the visual spatial ability, the performance of severe OSAHS group was significantly weaker than that of the control group (P<0.01) and non-severe patients (P<0.01). In the executive ability, the control group was significantly higher than the OSAHS group (P<0.05), and the performance of patients with severe OSAHS was weaker than that of non-severe group (P<0.01) and control group (P<0.05), but there was no difference among every group in the trail making test. Attention, the difference between the control group and the patients was significant (P<0.01), but no difference between severe patients and non-severe patients. The total score of the language,the difference between the control group and the patient group was significant (P<0.01), while there was no difference between severe and non-severe patients. The study also found that the results of language repetition, delayed recall and the total score of the language was exactly the same. Orientation,there was also significant difference between the control group and the severe group (P<0.05). There was also significant difference between the severe and non-severe patients (P<0.05). The optimal cutoff between the control and patient groups was 25.5 points (total MoCA score). In addition, in the visual spatial subscale, the cutoff between non-severe and severe OSAHS groups was 2.5 points. The correlation between MoCA score and MMSE score was statistically significant (r=0.764, P<0.01). Conclusion:In summary, our study shows that MoCA-BJ is reliable, stable and effective in evaluating adult OSAHS cognitive function. MoCA-BJ can detect cognitive dysfunction through visual space, executive ability and total score, while distinguishing healthy controls and OSAHS patients from attention, language total score, language repetition, delayed recall, but can not distinguish between severe and non-severe OSAHS patients. In addition, Orientation in the distinction between normal controls and severe patients, severe and non-severe patients play a role, but can not distinguish between normal controls and OSAHS patients.
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