scholarly journals Validation of the Brief Assessment of Impaired Cognition and the Brief Assessment of Impaired Cognition Questionnaire for identification of mild cognitive impairment in a memory clinic setting

2020 ◽  
Vol 35 (8) ◽  
pp. 907-915
Author(s):  
Kasper Jørgensen ◽  
Thomas R. Nielsen ◽  
Ann Nielsen ◽  
Frans B. Waldorff ◽  
Gunhild Waldemar
2016 ◽  
Vol 42 (3-4) ◽  
pp. 135-145 ◽  
Author(s):  
Jun Ho Lee ◽  
Min Soo Byun ◽  
Dahyun Yi ◽  
Young Min Choe ◽  
Hyo Jung Choi ◽  
...  

Aims: The aims of this study were to investigate the frequency of various depressive syndromes in elderly individuals with no cognitive impairment (NC), mild cognitive impairment (MCI), and Alzheimer's disease dementia (AD) in a memory clinic setting, and then to test whether severe and milder forms of depressive syndromes are differentially associated with the cognitive groups. Methods: For 216 NC, 478 MCI, and 316 AD subjects, we investigated the frequency of depressive syndromes, defined by three different categories: major and minor depressive disorder (MaDD and MiDD) according to the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, as well as depression according to the National Institute of Mental Health provisional diagnostic criteria for depression in Alzheimer's disease (NIMH-dAD). Results: The frequency of MaDD did not show any significant difference among NC, MCI, and AD. In contrast, the frequencies of MiDD and NIMH-dAD were higher than those of MaDD and showed significant group differences with a gradual increase from NC to AD. Conclusion: The findings suggest that the degenerative process of Alzheimer's disease contributes to the occurrence of mild depressive conditions, but not to severe depression.


2014 ◽  
Vol 37 (1-2) ◽  
pp. 113-124 ◽  
Author(s):  
Suvarna Alladi ◽  
Mekala Shailaja ◽  
Kandadai Rukmini Mridula ◽  
Chowdary Arikaudi Haritha ◽  
Nallapareddy Kavitha ◽  
...  

2014 ◽  
Vol 4 (2) ◽  
pp. 209-220 ◽  
Author(s):  
Julie G. Kosteniuk ◽  
Debra G. Morgan ◽  
Megan E. O'Connell ◽  
Margaret Crossley ◽  
Andrew Kirk ◽  
...  

2020 ◽  
pp. 1-14
Author(s):  
Yi-Wen Bao ◽  
Anson C.M. Chau ◽  
Patrick Ka-Chun Chiu ◽  
Yat Fung Shea ◽  
Joseph S.K. Kwan ◽  
...  

Background: With the more widespread use of 18F-radioligand-based amyloid-β (Aβ) PET-CT imaging, we evaluated Aβ binding and the utility of neocortical 18F-Flutemetamol standardized uptake value ratio (SUVR) as a biomarker. Objective: 18F-Flutemetamol SUVR was used to differentiate 1) mild cognitive impairment (MCI) from Alzheimer’s disease (AD), and 2) MCI from other non-AD dementias (OD). Methods: 109 patients consecutively recruited from a University memory clinic underwent clinical evaluation, neuropsychological test, MRI and 18F-Flutemetamol PET-CT. The diagnosis was made by consensus of a panel consisting of 1 neuroradiologist and 2 geriatricians. The final cohort included 13 subjective cognitive decline (SCD), 22 AD, 39 MCI, and 35 OD. Quantitative analysis of 16 region-of-interests made by Cortex ID software (GE Healthcare). Results: The global mean 18F-Flutemetamol SUVR in SCD, MCI, AD, and OD were 0.50 (SD-0.08), 0.53 (SD-0.16), 0.76 (SD-0.10), and 0.56 (SD-0.16), respectively, with SUVR in SCD and MCI and OD being significantly lower than AD. Aβ binding in SCD, MCI, and OD was heterogeneous, being 23%, 38.5%, and 42.9% respectively, as compared to 100% amyloid positivity in AD. Using global SUVR, ROC analysis showed AUC of 0.868 and 0.588 in differentiating MCI from AD and MCI from OD respectively. Conclusion: 18F-Flutemetamol SUVR differentiated MCI from AD with high efficacy (high negative predictive value), but much lower efficacy from OD. The major benefit of the test was to differentiate cognitively impaired patients (either SCD, MCI, or OD) without AD-related-amyloid-pathology from AD in the clinical setting, which was under-emphasized in the current guidelines proposed by Amyloid Imaging Task Force.


2013 ◽  
Vol 35 (1) ◽  
pp. 159-168 ◽  
Author(s):  
YanHong Dong ◽  
Wan Shin Pang ◽  
Leon Ben Swie Lim ◽  
Yuan-Han Yang ◽  
John C. Morris ◽  
...  

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