Literature DB >> 29561277

Baseline Amnestic Severity Predicts Progression From Amnestic Mild Cognitive Impairment to Alzheimer Disease Dementia at 3 Years.

Nicholas I Bradfield1, Kathryn A Ellis2, Greg Savage3, Paul Maruff4, Samantha Burnham5, David Darby6, Nicola T Lautenschlager2,7, Ralph N Martins8, Colin L Masters6, Stephanie R Rainey-Smith8, Joanne Robertson6, Christopher Rowe9, Michael Woodward10, David Ames2,6,11,12.   

Abstract

BACKGROUND: Given the long preclinical disease course of Alzheimer disease (AD) pathology, novel treatments may be more efficacious if administered before the emergence of dementia. Thus, accurate prediction of who will develop AD dementia is of key importance in selecting individuals for trials of treatment and may become crucial for future selection of patients for therapy.
METHODS: As part of the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing, 901 individuals who did not have dementia were recruited. We assigned individuals according to Petersen criteria and Winblad criteria for Mild Cognitive Impairment (MCI) at baseline. We then stratified individuals with amnestic MCI into 2 groups according to the severity of their memory impairment on baseline neuropsychological assessment. Incident diagnosis of AD dementia was established by consensus of an expert panel at 36 months.
RESULTS: At 36 months, 725 (80.5%) participants were followed up, 54 (7.4%) of whom developed AD dementia. Subjects with amnestic MCI according to Petersen criteria were more likely to develop AD dementia [positive predictive value; PPV, 24.1%; 95% confidence interval (CI), 18.4-30.6] than healthy controls (PPV, 1.0%; 95% CI, 0.3-2.3). Winblad criteria were also effective, with multiple domain amnestic MCI being most accurate at predicting AD dementia (PPV, 47.3%; 95% CI, 33.7-61.2). Finally, more severe amnestic impairment below the median was useful for predicting the development of AD dementia in single domain amnestic MCI (PPV, 28.1%; 95% CI, 17.0-41.5) and in multiple domain amnestic MCI (PPV, 65.7%; 95% CI, 47.8-80.9).
CONCLUSIONS: Memory impairment per se, impairment in multiple cognitive domains and severity of memory impairment were all associated with greater risk of developing AD dementia in this sample. Characterizing the severity of memory impairment may provide prognostic stratification within Petersen or Winblad taxonomies of amnestic MCI.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29561277     DOI: 10.1097/WAD.0000000000000252

Source DB:  PubMed          Journal:  Alzheimer Dis Assoc Disord        ISSN: 0893-0341            Impact factor:   2.703


  7 in total

Review 1.  Alzheimer's Disease: Epidemiology and Clinical Progression.

Authors:  Amir Abbas Tahami Monfared; Michael J Byrnes; Leigh Ann White; Quanwu Zhang
Journal:  Neurol Ther       Date:  2022-03-14

2.  Mild cognitive impairment: narrative review of taxonomies and systematic review of their prediction of incident Alzheimer's disease dementia.

Authors:  Nicholas I Bradfield; David Ames
Journal:  BJPsych Bull       Date:  2020-04

3.  Body, Brain, Life for Cognitive Decline (BBL-CD): protocol for a multidomain dementia risk reduction randomized controlled trial for subjective cognitive decline and mild cognitive impairment.

Authors:  Mitchell McMaster; Sarang Kim; Linda Clare; Susan J Torres; Catherine D'Este; Kaarin J Anstey
Journal:  Clin Interv Aging       Date:  2018-11-21       Impact factor: 4.458

4.  Association of Antihypertensives That Stimulate vs Inhibit Types 2 and 4 Angiotensin II Receptors With Cognitive Impairment.

Authors:  Zachary A Marcum; Jordana B Cohen; Chong Zhang; Catherine G Derington; Tom H Greene; Lama Ghazi; Jennifer S Herrick; Jordan B King; Alfred K Cheung; Nick Bryan; Mark A Supiano; Joshua A Sonnen; William S Weintraub; Jeff Williamson; Nicholas M Pajewski; Adam P Bress
Journal:  JAMA Netw Open       Date:  2022-01-04

5.  The relationship between vascular endothelial growth factor (VEGF) and amnestic mild cognitive impairment among older adults living with HIV.

Authors:  Vanessa B Serrano; Jessica L Montoya; Laura M Campbell; Erin E Sundermann; Jennifer Iudicello; Scott Letendre; Robert K Heaton; David J Moore
Journal:  J Neurovirol       Date:  2021-11-04       Impact factor: 2.643

6.  Textural features reflecting local activity of the hippocampus improve the diagnosis of Alzheimer's disease and amnestic mild cognitive impairment: A radiomics study based on functional magnetic resonance imaging.

Authors:  Luoyu Wang; Qi Feng; Xiuhong Ge; Fenyang Chen; Bo Yu; Bing Chen; Zhengluan Liao; Biying Lin; Yating Lv; Zhongxiang Ding
Journal:  Front Neurosci       Date:  2022-08-08       Impact factor: 5.152

7.  Identifying Blood Transcriptome Biomarkers of Alzheimer's Disease Using Transgenic Mice.

Authors:  Shinichiro Ochi; Jun-Ichi Iga; Yu Funahashi; Yuta Yoshino; Kiyohiro Yamazaki; Hiroshi Kumon; Hiroaki Mori; Yuki Ozaki; Takaaki Mori; Shu-Ichi Ueno
Journal:  Mol Neurobiol       Date:  2020-08-20       Impact factor: 5.590

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.