Literature DB >> 26836164

Predictors of Response to Cholinesterase Inhibitors Treatment of Alzheimer's Disease: Date Mining from the TREDEM Registry.

Maurizio Gallucci1, Pierpaolo Spagnolo1, Maria Aricò1, Enzo Grossi2,3.   

Abstract

BACKGROUND: The pharmacological treatment of Alzheimer's disease (AD) is based largely on cholinesterase inhibitors (ChEI).
OBJECTIVE: To investigate whether or not some non-pharmacological and contextual factors measured prior to starting treatment such as past occupation, lifestyles, marital status, degree of autonomy and cognitive impairment, living alone or with others, and the degree of brain atrophy are associated with a better response to ChEI treatment.
METHODS: Eighty-four AD and six AD with cerebrovascular disease (AD + CVD) outpatients of Treviso Dementia (TREDEM) Registry, with an average cholinesterase inhibitors treatment length of four years, were considered. The outpatients had undergone a complete evaluation and some non-pharmacological and contextual factors were collected. We defined responder a patient with a delta score T0 - T1 equal or inferior to 2.0 points per year of MMSE and a non-responder a patient with a delta score T0 - T1 superior to 2.0 points per year. In order to identify hidden relationships between variables related to response and non-response, we use a special kind of artificial neural network called Auto-CM, able to create a semantic connectivity map of the variables considered in the study.
RESULTS: A higher cognitive profile, a previous intellectual occupation, healthier lifestyles, being married and not living alone, a higher degree of autonomy, and lower degree of brain atrophy at baseline resulted in affecting the response to long-term ChEI therapy.
CONCLUSION: Non-pharmacological and contextual factors appear to influence the effectiveness of treatment with ChEI in the long term.

Entities:  

Keywords:  Alzheimer’s disease; Auto-CM system; TREDEM; brain and cognitive reserve; brain atrophy; cholinesterase inhibitors; environmental enrichment

Mesh:

Substances:

Year:  2016        PMID: 26836164     DOI: 10.3233/JAD-150747

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  5 in total

Review 1.  Dementia registries around the globe and their applications: A systematic review.

Authors:  Karolina Krysinska; Perminder S Sachdev; John Breitner; Miia Kivipelto; Walter Kukull; Henry Brodaty
Journal:  Alzheimers Dement       Date:  2017-05-30       Impact factor: 21.566

2.  Predictors of response to acetylcholinesterase inhibitors in dementia: A systematic review.

Authors:  Federico Emanuele Pozzi; Elisa Conti; Ildebrando Appollonio; Carlo Ferrarese; Lucio Tremolizzo
Journal:  Front Neurosci       Date:  2022-09-20       Impact factor: 5.152

3.  Long-Term Effect of Acetylcholinesterase Inhibitors on the Dorsal Attention Network of Alzheimer's Disease Patients: A Pilot Study Using Resting-State Functional Magnetic Resonance Imaging.

Authors:  Ken-Ichiro Yamashita; Taira Uehara; Yoshihide Taniwaki; Shozo Tobimatsu; Jun-Ichi Kira
Journal:  Front Aging Neurosci       Date:  2022-04-05       Impact factor: 5.750

4.  Suboptimal Baseline Serum Vitamin B12 Is Associated With Cognitive Decline in People With Alzheimer's Disease Undergoing Cholinesterase Inhibitor Treatment.

Authors:  Hsiao Shan Cho; Li Kai Huang; Yao Tung Lee; Lung Chan; Chien Tai Hong
Journal:  Front Neurol       Date:  2018-05-09       Impact factor: 4.003

5.  Sex-Based Differences in Gut Microbiota Composition in Response to Tuna Oil and Algae Oil Supplementation in a D-galactose-Induced Aging Mouse Model.

Authors:  Hongyan Zhang; Zhaoyang Wang; Yanyan Li; Jiaojiao Han; Chenxi Cui; Chenyang Lu; Jun Zhou; Lingzhi Cheong; Ye Li; Tingting Sun; Dijun Zhang; Xiurong Su
Journal:  Front Aging Neurosci       Date:  2018-06-26       Impact factor: 5.750

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.