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
Authors: Chen, Ben | Zhong, Xiaomei | Mai, Naikeng | Peng, Qi | Zhang, Min | Chen, Xinru | Wu, Zhangying | Zou, Laiquan | Liang, Wanyuan | Ouyang, Cong | Wu, Yujie | Ning, Yuping
Article Type: Research Article
Abstract: Olfactory identification (OI) deficits have been regarded as an indicator of cognitive impairment in the elderly, but few studies have analyzed the mixed effect of depression on OI. Since depression is common in the elderly and strongly associated with OI, we aimed to explore whether the comorbidity of depression and cognitive impairment may be associated with worse outcomes. In total, 153 elderly patients with depression and 154 normal elderly were recruited. Subjects underwent assessments of depression, cognitive function, and OI. Information on the factors that may affect OI performance was collected (age, sex, smoking history, diabetes, etc.). Correlation analysis showed …that several factors had a significant influence on OI performance in the elderly, including severity of depression, cognitive scores, age, sex, and years of education (p < 0.05). Among the different cognitive domains, OI was positively associated with global cognition, memory, language, executive function, and attention performance (p < 0.05). The multiple linear regression analysis indicated that memory scores, age, HAMD scores, and sex were the most relevant factors to OI scores across all elderly participants. The factorial analysis suggested that elderly with comorbidity of depression and cognitive impairment (memory deficits or language deficits) had worse OI impairment, and there was an interactive effect of depression and memory deficits on OI in elderly people. The present study suggested that the coexistence of depressive symptoms and cognitive impairment was associated with worse OI in the elderly. Studies exploring the association between OI and cognitive function should include an assessment of depression and adjust the interactive effects of depression. Show more
Keywords: Cognition, depression, geriatric, neuropsychology, olfactory
DOI: 10.3233/JAD-180760
Citation: Journal of Alzheimer's Disease, vol. 66, no. 4, pp. 1645-1655, 2018
