A simple test of copying ability and sex define survival in patients with early Alzheimer's disease

1999 ◽  
Vol 29 (2) ◽  
pp. 485-489 ◽  
Author(s):  
J. J. CLAUS ◽  
G. J. M. WALSTRA ◽  
P. M. BOSSUYT ◽  
S. TEUNISSE ◽  
W. A. VAN GOOL
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Function ◽  
General Population ◽  
Survival Rates ◽  
Symptom Duration ◽  
Simple Test ◽  
Kaplan Meier ◽  
Early Alzheimer’S Disease

Background. We studied whether heterogeneous profiles of cognitive function are relevant to survival in patients with early Alzheimer's disease.Methods. CAMCOG subscales of cognitive function were used as predictors of survival, together with gender in 157 consecutively referred patients with early Alzheimer's disease. Statistical analysis was performed with Cox proportional hazards analysis and Kaplan–Meier survival curves. Survival rates were compared with those in the general population.Results. Eighty patients (51%) died during the follow-up that extended to 5·7 years, with a median survival of 4·4 years after entry. Only the praxis subscore was statistically significant related to survival (P<0·0001). Its predictive power was based on only two items, including copying ability for a spiral and a three-dimensional house, independent of age, sex, education, overall CAMCOG score, dementia severity and symptom duration. Kaplan–Meier curves for the combined score of these items (0, 1, or 2) showed three groups with significantly different survival rates for both men and women. Comparison of gender specific survival rates with data from the general population showed that excess mortality was statistically significant (P<0·01) higher in men (51%) than in women (21%) after follow-up extending to 5 years.Conclusions. A simple test of copying ability defines subgroups of AD patients with large differences in survival rates. This suggests that parietal lobe impairment is an important predictor of mortality in AD. Also, the course of AD may be more benign in women than in men.

Abstract T P160: Influence of Polyunsaturated Fatty Acids on Cognition in Elderly Alzheimer's Disease Patients

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Takashi Yamazaki ◽  
Ken Nagata ◽  
Daiki Takano ◽  
Tetsuya Maeda
Keyword(s):  
Alzheimer’S Disease ◽  
Blood Pressure ◽  
Alzheimer's Disease ◽  
Cognitive Function ◽  
Mmse Score ◽  
Characteristic Curve ◽  
Follow Up Study ◽  
Cognitive Stability ◽  
The Relationship

Background: Many genes and environmental factors linked to Alzheimer’s disease (AD) risk affect lipid metabolism or the cardiovascular system, strongly implicating cerebrovascular and metabolic dysfunction in AD pathogenesis. Although some PUFAs may improve cognitive function in aging individuals, it is still unclear how different PUFAs influence AD neuropathology and cognitive function. Objective: To examine the influence of polyunsaturated fatty acid (PUFA) metabolism on AD-associated cognitive decline, we investigated the relationship between serum PUFA profile and neuropsychological test performance. Methods: Cognitive functioning in patients with probable AD (n = 174, mean age 77.6 years) was examined using the Mini-Mental State Exam (MMSE) and clock drawing test (CDT). Serum samples were obtained for PUFA profile, including the eicosapentaenoic acid/arachidonic acid (EPA/AA) ratio, and measurement of brain natriuretic peptide (BNP) concentration. In the follow-up study, 47 subjects repeated MMSE and CDT after 1 year, According to the second MMSE score, the subjects were divided into the following 2 groups: those with unchanged or improved MMSE score and those with lower MMSE score. A receiver operating characteristic curve was used to evaluate the relationship between the EPA/AA ratio and 1-year cognitive stability. Results: In the cross-sectional study, total MMSE score correlated positively with the EPA/AA ratio and systolic blood pressure (SBP), and negatively with age and diastolic blood pressure (DBP) (p < 0.05). In the follow-up study, the MMSE score was lower than baseline in 20 subjects, whereas it was improved or unchanged in 29 patients. The EPA/AA ratio in the stable group was significantly greater than that in the deteriorating group, suggesting an association between higher EPA/AA ratio and cognitive stability over 1 year. The EPA/AA ratio predicted stability of cognitive performance with a sensitivity of 66% and specificity of 70% (odds ratio = 4.43) when the cut-off was 0.67. Conclusion: Our results suggest that serum EPA concentration strongly influences cognitive performances in AD patients. The EPA/AA ratio was a sensitive indicator of cognitive stability in this patient group.

scholarly journals Adaptive working memory strategy training in early Alzheimer's disease: Randomised controlled trial

2017 ◽  
Vol 210 (1) ◽  
pp. 61-66 ◽  
Author(s):  
J. D. Huntley ◽  
A. Hampshire ◽  
D. Bor ◽  
A. Owen ◽  
R. J. Howard
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Working Memory ◽  
Cognitive Function ◽  
Cognitive Training ◽  
Controlled Trial ◽  
Verbal Working Memory ◽  
Strategy Training ◽  
Post Intervention ◽  
Early Alzheimer’S Disease

BackgroundInterventions that improve cognitive function in Alzheimer's disease are urgently required.AimsTo assess whether a novel cognitive training paradigm based on ‘chunking’ improves working memory and general cognitive function, and is associated with reorganisation of functional activity in prefrontal and parietal cortices (trial registration: ISRCTN43007027).MethodThirty patients with mild Alzheimer's disease were randomly allocated to receive 18 sessions of 30 min of either adaptive chunking training or an active control intervention over approximately 8 weeks. Pre- and post-intervention functional magnetic resonance imaging (fMRI) scans were also conducted.ResultsAdaptive chunking training led to significant improvements in verbal working memory and untrained clinical measures of general cognitive function. Further, fMRI revealed a bilateral reduction in task-related lateral prefrontal and parietal cortex activation in the training group compared with controls.ConclusionsChunking-based cognitive training is a simple and potentially scalable intervention to improve cognitive function in early Alzheimer's disease.

scholarly journals Automatic Prediction of Cognitive and Functional Decline Can Significantly Decrease the Number of Subjects Required for Clinical Trials in Early Alzheimer’s Disease

2021 ◽  
pp. 1-8
Author(s):  
Neda Shafiee ◽  
Mahsa Dadar ◽  
Simon Ducharme ◽  
D. Louis Collins ◽  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Clinical Trials ◽  
Cognitive Decline ◽  
Functional Decline ◽  
Amyloid Β ◽  
Cognitive Test ◽  
Disease Heterogeneity ◽  
Early Alzheimer’S Disease

Background: While both cognitive and magnetic resonance imaging (MRI) data has been used to predict progression in Alzheimer’s disease, heterogeneity between patients makes it challenging to predict the rate of cognitive and functional decline for individual subjects. Objective: To investigate prognostic power of MRI-based biomarkers of medial temporal lobe atrophy and macroscopic tissue change to predict cognitive decline in individual patients in clinical trials of early Alzheimer’s disease. Methods: Data used in this study included 312 patients with mild cognitive impairment from the ADNI dataset with baseline MRI, cerebrospinal fluid amyloid-β, cognitive test scores, and a minimum of two-year follow-up information available. We built a prognostic model using baseline cognitive scores and MRI-based features to determine which subjects remain stable and which functionally decline over 2 and 3-year follow-up periods. Results: Combining both sets of features yields 77%accuracy (81%sensitivity and 75%specificity) to predict cognitive decline at 2 years (74%accuracy at 3 years with 75%sensitivity and 73%specificity). When used to select trial participants, this tool yields a 3.8-fold decrease in the required sample size for a 2-year study (2.8-fold decrease for a 3-year study) for a hypothesized 25%treatment effect to reduce cognitive decline. Conclusion: When used in clinical trials for cohort enrichment, this tool could accelerate development of new treatments by significantly increasing statistical power to detect differences in cognitive decline between arms. In addition, detection of future decline can help clinicians improve patient management strategies that will slow or delay symptom progression.

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