Your search for: 'author:("Wang, Meijuan")' has returned 2 results. (0.006s) Save search

Authors: Shi, Zhongyong | Wu, Yujie | Wang, Meijuan | Cao, Jing | Feng, Wei | Cheng, Yan | Li, Chunbo | Shen, Yuan

Article Type: Research Article

Abstract: Thinning of retinal nerve fiber layer (RNFL) may reflect neurodegeneration of the central nervous system, which has been reported as part of the neuropathogenesis of Alzheimer's disease (AD). Specifically, AD patients have thinner RNFL as compared to age-matched normal controls. However, whether reduction of RNFL over time can predict those at higher risk to develop cognitive deterioration remains unknown. We therefore set out a prospective clinical investigation to determine both the reduction of RNFL thickness and the deterioration of cognitive function over a period of 25 months in 78 participants (mean age 72.31 ± 3.98 years, 52% men). The participants …were categorized as stable participants whose cognitive status remained unchanged (n = 60) and converted participants whose cognitive status deteriorated, which was diagnosed by DSM-VI (for AD) and Petersen's definition (for mild cognitive impairment) (n = 18). Here we show for the first time that the converted participants had greater reduction of RNFL thickness than the stable participants. Specifically, the reduction in the thickness of the inferior quadrant RNFL in the converted participants was greater than that in stable participants [−11.0 ± 12.8 (mean ± standard deviation) μm versus 0.4 ± 15.7 μm, p = 0.009]. These data showed that greater reduction in the inferior quadrant of RNFL thickness might indicate a higher risk for the old adults to develop cognitive deterioration. These findings have established a system to embark on a larger scale study to further test whether changes in RNFL thickness can serve as a biomarker of AD. Show more

Keywords: Alzheimer's disease, cognitive function, mild cognitive impairment, retinal nerve fiber layer thickness

DOI: 10.3233/JAD-131898

Citation: Journal of Alzheimer's Disease, vol. 40, no. 2, pp. 277-283, 2014

Authors: Shi, Zhongyong | Zhu, Yingbo | Wang, Meijuan | Wu, Yujie | Cao, Jing | Li, Chunbo | Xie, Zhongcong | Shen, Yuan

Article Type: Research Article

Abstract: Our previous studies have shown that longitudinal reduction in retinal nerve fiber layer (RNFL) thickness is associated with cognitive deterioration. However, whether the combination of longitudinal reduction in RNFL thickness with baseline episodic memory performance can better predict cognitive deterioration remains unknown. Therefore, we set out to re-analyze the data obtained from our previous studies with 78 elderly adults (mean age 74.4 ± 3.83 years, 48.7% male) in the community over a 25-month period. The participants were categorized as either stable participants whose cognitive status did not change (n  = 60) or converted participants whose cognitive status deteriorated (n  = 18). A …logistic regression analysis was applied to determine a conversion score for predicting the cognitive deterioration in the participants. We found that the area under the receiver operating characteristic curve (AUC) for the multivariable model was 0.854 (95% CI 0.762–0.947) using baseline story recall as a predictor, but the AUC increased to 0.915 (95% CI 0.849–0.981) with the addition of the longitudinal reduction of RNFL thickness in the inferior quadrant. The conversion score was significantly higher for the converted participants than the stable participants (0.59 ± 0.30 versus 0.12 ± 0.19, p  <  0.001). Finally, the optimal cutoff value of the conversion score (0.134) was determined by the analysis of receiver operating characteristic curve, and this conversion score generated a sensitivity of 0.944 and a specificity of 0.767 in predicting the cognitive deterioration. These findings have established a system to perform a larger scale study to further test whether the longitudinal reduction in RNFL thickness could serve as a biomarker of Alzheimer’s disease. Show more

Keywords: Alzheimer’s disease, conversion score, mild cognitive impairment, predictive model, retinal nerve fiber layer thickness

DOI: 10.3233/JAD-150438

Citation: Journal of Alzheimer's Disease, vol. 49, no. 2, pp. 399-405, 2016