scholarly journals Survival time and differences between dementia with Lewy bodies and Alzheimer’s disease following diagnosis: A meta-analysis of longitudinal studies

2019 ◽  
Vol 50 ◽  
pp. 72-80 ◽  
Author(s):  
Christoph Mueller ◽  
Pinar Soysal ◽  
Arvid Rongve ◽  
Ahmet Turan Isik ◽  
Trevor Thompson ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Survival Time ◽  
Longitudinal Studies ◽  
Dementia With Lewy Bodies ◽  
Meta Analysis ◽  
Lewy Bodies

scholarly journals Meta-analysis of Cerebrospinal Fluid Neuron-specific Enolase Levels in Alzheimer’s Disease, Parkinson’s Disease, Dementia With Lewy Bodies, and Multiple System Atrophy

2020 ◽  
Author(s):  
Takayuki Katayama ◽  
Jun Sawada ◽  
Kae Takahashi ◽  
Osamu Yahara ◽  
Naoyuki Hasebe
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Multiple System Atrophy ◽  
Dementia With Lewy Bodies ◽  
Meta Analysis ◽  
Neuron Specific Enolase ◽  
Lewy Bodies ◽  
Meta Regression

Abstract Background: To investigate the usefulness of cerebrospinal fluid (CSF) neuron-specific enolase (NSE) levels as a candidate biomarker of neurodegeneration in Alzheimer’s disease (AD), Parkinson’s disease (PD), PD with dementia (PDD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA).Methods: We performed a systematic search of PubMed, the Cochrane Library, SCOPUS, and Google Scholar to find studies that investigated the CSF levels of NSE in AD, PD, DLB, and/or MSA. For each disease, we pooled all available data and performed a meta-analysis, and meta-regression analyses of age and sex were conducted when significant in the main analysis.Results: Twenty studies were included (13 for AD, 8 for PD/PDD/DLB, and 4 for MSA). Significantly elevated CSF NSE levels were detected in AD (Hedges’ g = 0.822, 95% confidence interval [95%CI]: 0.332 to 1.311, p = 0.0010), but the data exhibited high heterogeneity (I2 = 88.43%, p<0.001). The meta-regression analysis of AD showed that age (p<0.001), but not sex, had a significant effect on NSE. A meta-analysis of all the pooled data for PD/PDD/DLB did not show any significant changes in the CSF NSE level, but a sub-group analysis of PDD/DLB revealed significantly elevated CSF NSE levels (Hedges’ g = 0.507, 95%CI: 0.020 to 0.993, p = 0.0412). No significant changes in CSF NSE levels were detected in MSA.Conclusions: This study provided evidence about the usefulness of CSF NSE levels as a biomarker in AD and PDD/DLB, and age was found to affect the CSF NSE levels of AD patients.

scholarly journals Meta-analysis of cerebrospinal fluid neuron-specific enolase levels in Alzheimer’s disease, Parkinson’s disease, dementia with Lewy bodies, and multiple system atrophy

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Takayuki Katayama ◽  
Jun Sawada ◽  
Kae Takahashi ◽  
Osamu Yahara ◽  
Naoyuki Hasebe
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Multiple System Atrophy ◽  
Dementia With Lewy Bodies ◽  
Meta Analysis ◽  
Neuron Specific Enolase ◽  
Lewy Bodies ◽  
Meta Regression

Abstract Background This study examined the usefulness of cerebrospinal fluid (CSF) neuron-specific enolase (NSE) levels as a candidate biomarker of neurodegeneration in Alzheimer’s disease (AD), Parkinson’s disease (PD), PD with dementia (PDD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). Methods We performed a systematic search of PubMed, the Cochrane Library, Scopus, and Google Scholar to find studies that measured CSF NSE levels in AD, PD, DLB, and/or MSA. For each disease, we pooled all available data and performed a meta-analysis, and meta-regression analyses of age and sex were conducted if the main analysis found a significant association. Results Twenty studies were included (13 for AD, 8 for PD/PDD/DLB, and 4 for MSA). Significantly elevated CSF NSE levels were detected in AD (Hedges’ g = 0.822, 95% confidence interval [95% CI] 0.332 to 1.311, p = 0.0010), but the data exhibited high heterogeneity (I2 = 88.43%, p < 0.001). The meta-regression analysis of AD showed that age (p < 0.001), but not sex, had a significant effect on CSF NSE levels. A meta-analysis of the pooled data for PD/PDD/DLB did not show any significant changes in the CSF NSE level, but a sub-group analysis of PDD/DLB revealed significantly elevated CSF NSE levels (Hedges’ g = 0.507, 95% CI 0.020 to 0.993, p = 0.0412). No significant changes in CSF NSE levels were detected in MSA. Conclusions The CSF NSE level may be a useful biomarker of neurodegeneration in AD and PDD/DLB. Age was found to affect the CSF NSE levels of AD patients.

Generalized Rhythmic Delta Activity Frontally Predominant Differentiates Dementia With Lewy Bodies From Alzheimer's Disease and Parkinson's Disease Dementia: A Conventional Electroencephalography Visual Analysis

2021 ◽  
pp. 155005942199714
Author(s):  
Lucia Zinno ◽  
Anna Negrotti ◽  
Chiara Falzoi ◽  
Giovanni Messa ◽  
Matteo Goldoni ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Dementia With Lewy Bodies ◽  
Visual Analysis ◽  
Lewy Bodies ◽  
Delta Activity ◽  
Rhythmic Delta Activity

Introduction. An easily accessible and inexpensive neurophysiological technique such as conventional electroencephalography may provide an accurate and generally applicable biomarker capable of differentiating dementia with Lewy bodies (DLB) from Alzheimer’s disease (AD) and Parkinson’s disease-associated dementia (PDD). Method. We carried out a retrospective visual analysis of resting-state electroencephalography (EEG) recording of 22 patients with a clinical diagnosis of 19 probable and 3 possible DLB, 22 patients with probable AD and 21 with PDD, matched for age, duration, and severity of cognitive impairment. Results. By using the grand total EEG scoring method, the total score and generalized rhythmic delta activity frontally predominant (GRDAfp) alone or, even better, coupled with a slowing of frequency of background activity (FBA) and its reduced reactivity differentiated DLB from AD at an individual level with an high accuracy similar to that obtained with quantitative EEG (qEEG). GRDAfp alone could also differentiate DLB from PDD with a similar level of diagnostic accuracy. AD differed from PDD only for a slowing of FBA. The duration and severity of cognitive impairment did not differ between DLB patients with and without GRDAfp, indicating that this abnormal EEG pattern should not be regarded as a disease progression marker. Conclusions. The findings of this investigation revalorize the role of conventional EEG in the diagnostic workup of degenerative dementias suggesting the potential inclusion of GRDAfp alone or better coupled with the slowing of FBA and its reduced reactivity, in the list of supportive diagnostic biomarkers of DLB.

Quantitative gait analysis in patients with dementia with Lewy bodies and Alzheimer's disease

2007 ◽  
Vol 26 (3) ◽  
pp. 414-419 ◽  
Author(s):  
John R. Merory ◽  
Joanne E. Wittwer ◽  
Christopher C. Rowe ◽  
Kate E. Webster
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Gait Analysis ◽  
Dementia With Lewy Bodies ◽  
Lewy Bodies ◽  
Quantitative Gait Analysis

Anosognosia for memory in dementia with Lewy bodies compared with Alzheimer's disease

2021 ◽  
Author(s):  
Victor Calil ◽  
Andrea Silveira de Souza ◽  
Felipe Kenji Sudo ◽  
Gustavo Santiago‐Bravo ◽  
Naima Assunção ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Dementia With Lewy Bodies ◽  
Lewy Bodies
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