Analysis of cognitive dysfunction with silent cere

Authors: Jing Zhao Huidong Tang Jialan Sun Baisong Wang Shengdi Chen Yi Fu

Publish Date: 2011/12/23

Volume: 27, Issue: 1, Pages: 17-22

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Abstract

To investigate the relationship between Silent Cerebral Infarction SCI and cognitive impairment to testify that Montreal Cognitive Assessment MoCA is a more sensitive screening tool than the Mini Mental State Examination MMSE to identify cognitive deficits in patients with SCI We recruited 196 individuals in Shanghai of China and divided them into 2 groups the SCI group including 112 individuals 45 men and 67 women aged from 43 to 70 years old and the control group including 84 individuals 43 men and 41 women aged from 42 to 79 years old We collected information including participants’ gender age blood glucose kidney function blood lipids blood pressure Electrocardiogram ECG carotid artery ultrasound MMSE score and MoCA score SAS software version 91 was used to perform statistical analysis on physical examinations outcomes from 196 participants Furthermore multiple logistic regression model was built up to screen out the independent risk factors of SCI Besides Receiver Operator Characteristic ROC analysis was also used Multivariate logistic regression analysis showed that abnormal ECG and existence of carotid artery plaques were independent risk factors of SCI occurrence while MoCA scores was negatively associated with SCI risk Moreover MoCA might be more valuable in predicting vascular cognitive impairment VCI than MMSE 0667 vs 0626 We found that the MMSE was generally insensitive to detect cognitive impairment but the MoCA has a good balance of sensitivity and specificity at the cutscore of 26 We found that the patients with SCI might accompany with VCI and the MoCA appeared to be an excellent screening test for patients with SCI worthy of being promoted in the clinical practitioning on Chinese populationThis study was granted by Shanghai Key Discipline Program NoS30202 Shanghai Key Project of Basic Science Research No09DZ1950400 Shanghai Natural Scientific Fund No09JC1416402 09ZR1419100 and Program for Outstanding Medical Academic Leader NoLJ 06003

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