901
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Liu X, Shi Y, Niu B, Shi Z, Li J, Ma Z, Wang J, Gong P, Zheng A, Zhang F, Gao X, Zhang K. Polymorphic variation in CHAT gene modulates general cognitive ability: An association study with random student cohort. Neurosci Lett 2016; 617:122-6. [PMID: 26854842 DOI: 10.1016/j.neulet.2016.02.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Revised: 10/18/2015] [Accepted: 02/02/2016] [Indexed: 11/30/2022]
Abstract
The choline O-acetyltransferase (CHAT) gene has been associated with various human disorders that involve cognitive impairment or deficiency. However, the influence of disease-associated variants of CHAT on normal individuals remains dubious. Here we demonstrated the impact of CHAT sequence variants (G-120A) on general human cognitive ability in a cohort of 750 Chinese undergraduate students. A multiple choice questionnaire was used to obtain basic demographic information, such as parents' occupations and education levels. We also administered and scored the Raven's Standard Progressive Matrices (RSPM). A one-way analysis of variance (ANOVA) and Kruskal-Wallis test (K-W) revealed a significant association between sequence polymorphisms of G-120A and individuals' Raven score (p=0.031 for ANOVA and p=0.026 for K-W tests). Moreover, further hierarchical analysis showed a similar trend in the association between G-120A variants and Raven scores only in the female subjects (p=0.008 for ANOVA and p=0.024 for K-W tests) but not in the male subjects. The results of a multiple linear regression confirmed that after we controlled gender, age, birthplace and other non-genetic factors, CHAT G-120A polymorphisms still significantly influenced individual Raven scores (B=-0.70, SE=0.28, t=-2.50, p=0.013). Our results demonstrated that sequence variants of CHAT were associated with human cognitive ability in not only patients with psychiatric disorders but also normal healthy individuals. However, some issues remained indeterminable, such as gender differences and the extent of the influence on individuals' general cognitive abilities; thus, the further research using an independent random sample was required.
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Affiliation(s)
- Xu Liu
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), Institute of Population and Health, College of Life Science, Northwest University, Xi'an 710069, China
| | - Yuanyu Shi
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), Institute of Population and Health, College of Life Science, Northwest University, Xi'an 710069, China
| | - Binbin Niu
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), Institute of Population and Health, College of Life Science, Northwest University, Xi'an 710069, China
| | - Zhangyan Shi
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), Institute of Population and Health, College of Life Science, Northwest University, Xi'an 710069, China
| | - Junlin Li
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), Institute of Population and Health, College of Life Science, Northwest University, Xi'an 710069, China
| | - Zhe Ma
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), Institute of Population and Health, College of Life Science, Northwest University, Xi'an 710069, China
| | - Jian Wang
- Department of Applied Psychology, Institute of Applied Psychology, College of Public Management, Northwest University, Xi'an 710069, China
| | - Pingyuan Gong
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), Institute of Population and Health, College of Life Science, Northwest University, Xi'an 710069, China
| | - Anyun Zheng
- Department of Applied Psychology, Institute of Applied Psychology, College of Public Management, Northwest University, Xi'an 710069, China
| | - Fuchang Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), Institute of Population and Health, College of Life Science, Northwest University, Xi'an 710069, China; Department of Applied Psychology, Institute of Applied Psychology, College of Public Management, Northwest University, Xi'an 710069, China
| | - Xiaocai Gao
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), Institute of Population and Health, College of Life Science, Northwest University, Xi'an 710069, China; Department of Applied Psychology, Institute of Applied Psychology, College of Public Management, Northwest University, Xi'an 710069, China.
| | - Kejin Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), Institute of Population and Health, College of Life Science, Northwest University, Xi'an 710069, China.
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902
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Seo EH, Kim SH, Park SH, Kang SH, Choo ILH. Independent and Interactive Influences of the APOE Genotype and Beta-Amyloid Burden on Cognitive Function in Mild Cognitive Impairment. J Korean Med Sci 2016; 31:286-95. [PMID: 26839485 PMCID: PMC4729511 DOI: 10.3346/jkms.2016.31.2.286] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Accepted: 11/09/2015] [Indexed: 12/03/2022] Open
Abstract
This study aimed to investigate the independent and interactive influences of apolipoprotein E (APOE) ε4 and beta-amyloid (Aβ) on multiple cognitive domains in a large group of cognitively normal (CN) individuals and patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD). Participants were included if clinical and cognitive assessments, amyloid imaging, and APOE genotype were all available from the Alzheimer's Disease Neuroimaging Initiative database (CN = 324, MCI = 502, AD = 182). Individuals with one or two copies of ε4 were designated as APOE ε4 carriers (ε4+); individuals with no ε4 were designated as APOE ε4 non-carriers (ε4-). Based on mean florbetapir standard uptake value ratios, participants were classified as Aβ burden-positive (Aβ+) or Aβ burden-negative (Aβ-). In MCI, APOE ε4 effects were predominantly observed on frontal executive function, with ε4+ participants exhibiting poorer performances; Aβ positivity had no influence on this effect. Aβ effects were observed on global cognition, memory, and visuospatial ability, with Aβ+ participants exhibiting poorer performances. Measures of frontal executive function were not influenced by Aβ. Interactive effects of APOE ε4+ and Aβ were observed on global cognition and verbal recognition memory. Aβ, not APOE ε4+, influenced clinical severity and functional status. The influences of APOE ε4+ and Aβ on cognitive function were minimal in CN and AD. In conclusion, we provide further evidence of both independent and interactive influences of APOE ε4+ and Aβ on cognitive function in MCI, with APOE ε4+ and Aβ showing dissociable effects on executive and non-executive functions, respectively.
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Affiliation(s)
- Eun Hyun Seo
- Premedical Science, College of Medicine, Chosun University, Gwangju, Korea
| | - Sang Hoon Kim
- Department of Neuropsychiatry, School of Medicine, Chosun University/Chosun University Hospital, Gwangju, Korea
| | - Sang Hag Park
- Department of Neuropsychiatry, School of Medicine, Chosun University/Chosun University Hospital, Gwangju, Korea
| | - Seong-Ho Kang
- Department of Laboratory Medicine, School of Medicine, Chosun University/Chosun University Hospital, Gwangju, Korea
| | - IL Han Choo
- Department of Neuropsychiatry, School of Medicine, Chosun University/Chosun University Hospital, Gwangju, Korea
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903
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Rizzi L, Roriz-Cruz M. Cerebrospinal fluid inflammatory markers in amnestic mild cognitive impairment. Geriatr Gerontol Int 2016; 17:239-245. [PMID: 26818250 DOI: 10.1111/ggi.12704] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2015] [Indexed: 11/29/2022]
Abstract
AIMS Inflammatory processes might play a significant role at the pathophysiology of Alzheimer's disease (AD). Neuroinflammation is characterized by activation of microglia and the release of inflammatory cytokines, such as interleukin (IL)-1β, IL-6 and tumor necrosis factor-α. Although, it is unknown what the real contribution of these inflammatory markers in the development of AD is. The purpose of the present study was to assess the possible relationship between inflammatory markers in the cerebrospinal fluid (CSF) of amnestic mild cognitive impairment patients (aMCI), aged 60 years or older, and compare with aged healthy controls. METHODS We examined concentrations of IL-1β, IL-6 and tumor necrosis factor-α in the CSF of aMCI patients and controls by enzyme immunoassay. aMCI diagnoses were based on anamnesis and Petersen criteria, corroborated by the Clinical Dementia Rating. Cognitive function was assessed by neuropsychological tests. RESULTS CSF levels of IL-1β (13.735 vs 22.932 pg/mL; P < 0.001) and tumor necrosis factor-α (1.913 vs 2.627 pg/mL; P = 0.002), but not IL-6 (4.178 vs 5.689 pg/mL; P = 0.106), were significantly reduced in the aMCI samples as compared with controls. Individuals with IL-1β < 17 pg/mL were at a 7.2 (CI 1.5-36; P: 0.016) increased odds of aMCI. There was a positive correlation between IL-1β levels and the Consortium to Establish a Registry for Alzheimer's Disease word list score (rs = 0.299; P = 0.046). Linear regression analysis showed that IL-1β levels might explain 13.7% (β = 24.545; P = 0.012) of the variance on this Consortium to Establish a Registry for Alzheimer's Disease subscore. CONCLUSION The present results show a pattern of cytokines expression in the CSF of aMCI patients that might be relevant to the pathogeny of prodromal AD. Geriatr Gerontol Int 2017; 17: 239-245.
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Affiliation(s)
- Liara Rizzi
- Division of Geriatric Neurology, Service of Neurology, Clinical Hospital of Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Matheus Roriz-Cruz
- Division of Geriatric Neurology, Service of Neurology, Clinical Hospital of Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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904
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Mudar RA, Chiang HS, Eroh J, Nguyen LT, Maguire MJ, Spence JS, Kung F, Kraut MA, Hart J. The Effects of Amnestic Mild Cognitive Impairment on Go/NoGo Semantic Categorization Task Performance and Event-Related Potentials. J Alzheimers Dis 2016; 50:577-90. [DOI: 10.3233/jad-150586] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Raksha A. Mudar
- Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, Champaign, IL, USA
- Neuroscience Program, University of Illinois at Urbana-Champaign, Champaign, IL, USA
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA
| | - Hsueh-Sheng Chiang
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA
| | - Justin Eroh
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA
| | - Lydia T. Nguyen
- Neuroscience Program, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Mandy J. Maguire
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA
| | - Jeffrey S. Spence
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA
| | - Fanting Kung
- Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Michael A. Kraut
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John Hart
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA
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905
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906
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Eliassen CF, Selnes P, Selseth Almdahl I, Reinvang I, Fladby T, Hessen E. Hippocampal Subfield Atrophy in Multi-Domain but Not Amnestic Mild Cognitive Impairment. Dement Geriatr Cogn Disord 2016; 40:44-53. [PMID: 25924735 DOI: 10.1159/000381142] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/17/2015] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS To investigate differences in hippocampal (HP) subfields and the adjoining perirhinal and entorhinal cortices (PRC and ERC) between amnestic mild cognitive impairment (aMCI) and multi-domain amnestic MCI (mdMCI) patients, and controls. METHODS Nineteen patients characterized as aMCI were compared with 24 mdMCI patients and 31 controls by means of an automatic HP segmentation procedure. RESULTS We found significant atrophy of the PRC and ERC in aMCI relative to controls, whereas a more pronounced pattern of atrophy in most subfields, including total HP volume, was found in the mdMCI group. The mdMCI group also had a significant cornu ammonis sector 4 region with dentate gyrus, subiculum and total HP atrophy relative to aMCI. CONCLUSION The aMCI group showed atrophy in the PRC and ERC, whereas significantly more affection of the HP subfields was evident in mdMCI. The mdMCI group may thus represent clinical progression relative to aMCI coupled with HP subfield affection.
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907
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Ochoa JF, Ruiz M, Valle D, Duque J, Tobon C, Alonso JF, Hernandez AM, Mananas MA. Neurophysiological correlates in Mild Cognitive Impairment detected using group Independent Component Analysis. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2016; 2015:7442-5. [PMID: 26738012 DOI: 10.1109/embc.2015.7320112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Alzheimer's disease is the most prevalent cause of dementia. Mild Cognitive Impairment (MCI) is defined as a grey area between intact cognitive functioning and clinical dementia. Electroencephalography (EEG) has been used to identify biomarkers in dementia. Currently, there is a great interest in translating the study from raw signals to signal generators, trying to keep the relationship with neurophysiology. In the current study, EEG recordings during an encoding task were acquired in MCI subjects and healthy controls. Data was decomposed using group Independent Component Analysis (gICA) and the most neuronal components were analyzed using Phase Intertrial Coherence (PIC) and Phase shift Intertrial Coherence (PsIC). MCI subjects exhibited an increase of PIC in the theta band, while controls showed increase in PsIC in the alpha band. Correlation between PIC and PsIC and clinical scales were also found. Those findings indicate that the methodology proposed based in gICA can help to extract information from EEG recordings with neurophysiological meaning.
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908
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Cai Y, Abrahamson K. How Exercise Influences Cognitive Performance When Mild Cognitive Impairment Exists: A Literature Review. J Psychosoc Nurs Ment Health Serv 2016; 54:25-35. [DOI: 10.3928/02793695-20151109-03] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2015] [Accepted: 10/13/2015] [Indexed: 11/20/2022]
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909
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Carolina F, Paula D H, Florencia Tartaglini M, Dorina S, Verónica S, Ricardo F A. Cognitive Reserve in Patients with Mild Cognitive Impairment: The Importance of Occupational Complexity as a Buffer of Declining Cognition in Older Adults. AIMS MEDICAL SCIENCE 2016. [DOI: 10.3934/medsci.2016.1.77] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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910
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Street SJ, Parletta N, Milte C, Sullivan K, Hills AP, Buckley J, Howe P. Interaction of erythrocyte eicosapentaenoic acid and physical activity predicts reduced risk of mild cognitive impairment. Aging Ment Health 2015; 19:885-91. [PMID: 25374153 DOI: 10.1080/13607863.2014.971705] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVES To evaluate relationships between self-reported physical activity, proportions of long-chain omega-3 polyunsaturated fatty acids (LCn3) in erythrocyte content (percentage of total fatty acids) and risk of mild cognitive impairment (MCI) in older adults. METHOD A cross-sectional study was conducted. Community-dwelling male and female (n = 84) participants over the age of 65 years with and without MCI were tested for erythrocyte proportions of the LCn3s eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Physical activity was measured using a validated questionnaire. RESULTS The interaction between erythrocyte EPA, but not DHA, and increased physical activity was associated with increased odds of a non-MCI classification. CONCLUSION An interaction between physical activity and erythrocyte EPA content (percentage of fatty acids) significantly predicted MCI status in older adults. Randomised control trials are needed to examine the potential for supplementation with EPA in combination with increased physical activity to mitigate the risk of MCI in ageing adults.
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Affiliation(s)
- Steven John Street
- a School of Psychology and Counselling , Queensland University of Technology , Kelvin Grove , Australia
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911
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Association of the C47T Polymorphism in SOD2 with Amnestic Mild Cognitive Impairment and Alzheimer's Disease in Carriers of the APOEε4 Allele. DISEASE MARKERS 2015; 2015:746329. [PMID: 26696693 PMCID: PMC4678069 DOI: 10.1155/2015/746329] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/12/2015] [Revised: 11/12/2015] [Accepted: 11/17/2015] [Indexed: 11/22/2022]
Abstract
Oxidative stress plays an important part in amnestic mild cognitive impairment (aMCI), the prodromal phase of Alzheimer's disease (AD). Recent evidence shows that polymorphisms in the SOD2 gene affect the elimination of the reactive oxygen species (ROS) generated in mitochondria. The aim of this study was to determine whether the functional rs4880 SNP in the SOD2 gene is a risk factor associated with aMCI and sporadic AD. 216 subjects with aMCI, 355 with AD, and 245 controls have been studied. The SNP rs4880 of the SOD2 gene was genotyped by RT-PCR and the APOE genotype was determined by PCR and RFLPs. Different multinomial logistic regression models were used to determine the risk levels for aMCI and AD. Although the T allele of the SOD2 rs4880 SNP gene (rs4880-T) is not an independent risk for aMCI or AD, this allele increases the risk to aMCI patients carrying at least one APOEε4 allele. Moreover, rs4880-T allele and APOEε4 allele combination has been found to produce an increased risk for AD compared to aMCI reference patients. These results suggest that APOEε4 and rs4880-T genotype may be a risk for aMCI and a predictor of progression from aMCI to AD.
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912
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Mellendijk L, Wiesmann M, Kiliaan AJ. Impact of Nutrition on Cerebral Circulation and Cognition in the Metabolic Syndrome. Nutrients 2015; 7:9416-39. [PMID: 26580647 PMCID: PMC4663605 DOI: 10.3390/nu7115477] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Revised: 10/12/2015] [Accepted: 11/03/2015] [Indexed: 12/12/2022] Open
Abstract
The increasing prevalence of Metabolic Syndrome (MetS), defined as the clustering of abdominal obesity, dyslipidemia, hypertension, and hyperglycemia, appears to be driving the global epidemics cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM). Nutrition has a major impact on MetS and plays an important role in the prevention, development, and treatment of its features. Structural and functional alterations in the vasculature, associated with MetS, might form the link between MetS and the increased risk of developing CVD and T2DM. Not only does the peripheral vasculature seem to be affected, but the syndrome has a profound impact on the cerebral circulation and thence brain structure as well. Furthermore, strong associations are shown with stroke, cognitive impairment, and dementia. In this review the impact of nutrition on the individual components of MetS, the effects of MetS on peripheral and cerebral vasculature, and its consequences for brain structure and function will be discussed.
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Affiliation(s)
- Laura Mellendijk
- Department of Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen 6500 HB, The Netherlands.
| | - Maximilian Wiesmann
- Department of Anatomy & Geriatric Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen 6500 HB, The Netherlands.
| | - Amanda J Kiliaan
- Department of Anatomy, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen 6500 HB, The Netherlands.
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913
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The Prevalence of Mild Cognitive Impairment in Diverse Geographical and Ethnocultural Regions: The COSMIC Collaboration. PLoS One 2015; 10:e0142388. [PMID: 26539987 PMCID: PMC4634954 DOI: 10.1371/journal.pone.0142388] [Citation(s) in RCA: 184] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Accepted: 10/21/2015] [Indexed: 11/22/2022] Open
Abstract
Background Changes in criteria and differences in populations studied and methodology have produced a wide range of prevalence estimates for mild cognitive impairment (MCI). Methods Uniform criteria were applied to harmonized data from 11 studies from USA, Europe, Asia and Australia, and MCI prevalence estimates determined using three separate definitions of cognitive impairment. Results The published range of MCI prevalence estimates was 5.0%–36.7%. This was reduced with all cognitive impairment definitions: performance in the bottom 6.681% (3.2%–10.8%); Clinical Dementia Rating of 0.5 (1.8%–14.9%); Mini-Mental State Examination score of 24–27 (2.1%–20.7%). Prevalences using the first definition were 5.9% overall, and increased with age (P < .001) but were unaffected by sex or the main races/ethnicities investigated (Whites and Chinese). Not completing high school increased the likelihood of MCI (P ≤ .01). Conclusion Applying uniform criteria to harmonized data greatly reduced the variation in MCI prevalence internationally.
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914
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McGuinness B, Barrett SL, McIlvenna J, Passmore AP, Shorter GW. Predicting conversion to dementia in a memory clinic: A standard clinical approach compared with an empirically defined clustering method (latent profile analysis) for mild cognitive impairment subtyping. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2015; 1:447-54. [PMID: 27239523 PMCID: PMC4879478 DOI: 10.1016/j.dadm.2015.10.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Introduction Mild cognitive impairment (MCI) has clinical value in its ability to predict later dementia. A better understanding of cognitive profiles can further help delineate who is most at risk of conversion to dementia. We aimed to (1) examine to what extent the usual MCI subtyping using core criteria corresponds to empirically defined clusters of patients (latent profile analysis [LPA] of continuous neuropsychological data) and (2) compare the two methods of subtyping memory clinic participants in their prediction of conversion to dementia. Methods Memory clinic participants (MCI, n = 139) and age-matched controls (n = 98) were recruited. Participants had a full cognitive assessment, and results were grouped (1) according to traditional MCI subtypes and (2) using LPA. MCI participants were followed over approximately 2 years after their initial assessment to monitor for conversion to dementia. Results Groups were well matched for age and education. Controls performed significantly better than MCI participants on all cognitive measures. With the traditional analysis, most MCI participants were in the amnestic multidomain subgroup (46.8%) and this group was most at risk of conversion to dementia (63%). From the LPA, a three-profile solution fit the data best. Profile 3 was the largest group (40.3%), the most cognitively impaired, and most at risk of conversion to dementia (68% of the group). Discussion LPA provides a useful adjunct in delineating MCI participants most at risk of conversion to dementia and adds confidence to standard categories of clinical inference.
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Affiliation(s)
- Bernadette McGuinness
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland
| | - Suzanne L Barrett
- School of Psychology, Queen's University Belfast, Belfast, Northern Ireland
| | - John McIlvenna
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland
| | - Anthony Peter Passmore
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, Northern Ireland
| | - Gillian W Shorter
- National Institute for Mental Health Research, Australian National University, Canberra, ACT, Australia; All Ireland Hub for Trials Methodology Research, Ulster University, Londonderry, Northern Ireland
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915
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Apostolo J, Holland C, O'Connell MDL, Feeney J, Tabares-Seisdedos R, Tadros G, Campos E, Santos N, Robertson DA, Marcucci M, Varela-Nieto I, Crespo-Facorro B, Vieta E, Navarro-Pardo E, Selva-Vera G, Balanzá-Martínez V, Cano A. Mild cognitive decline. A position statement of the Cognitive Decline Group of the European Innovation Partnership for Active and Healthy Ageing (EIPAHA). Maturitas 2015; 83:83-93. [PMID: 26520249 DOI: 10.1016/j.maturitas.2015.10.008] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Revised: 10/08/2015] [Accepted: 10/09/2015] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Mild cognitive impairment (MCI) is a term used to describe a level of decline in cognition which is seen as an intermediate stage between normal ageing and dementia, and which many consider to be a prodromal stage of neurodegeneration that may become dementia. That is, it is perceived as a high risk level of cognitive change. The increasing burden of dementia in our society, but also our increasing understanding of its risk factors and potential interventions, require diligent management of MCI in order to find strategies that produce effective prevention of dementia. AIM To update knowledge regarding mild cognitive impairment, and to bring together and appraise evidence about the main features of clinical interest: definitions, prevalence and stability, risk factors, screening, and management and intervention. METHODS Literature review and consensus of expert opinion. RESULTS AND CONCLUSION MCI describes a level of impairment in which deteriorating cognitive functions still allow for reasonable independent living, including some compensatory strategies. While there is evidence for some early risk factors, there is still a need to more precisely delineate and distinguish early manifestations of frank dementia from cognitive impairment that is less likely to progress to dementia, and furthermore to develop improved prospective evidence for positive response to intervention. An important limitation derives from the scarcity of studies that take MCI as an endpoint. Strategies for effective management suffer from the same limitation, since most studies have focused on dementia. Behavioural changes may represent the most cost-effective approach.
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Affiliation(s)
- Joao Apostolo
- Portugal Centre for Evidence Based Practice, Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra, Portugal.
| | - Carol Holland
- Aston Research Centre for Healthy Ageing, Aston University, Birmingham, UK.
| | | | - Joanne Feeney
- Centre for Public Health, Queen's University Belfast, United Kingdom.
| | - Rafael Tabares-Seisdedos
- Department of Medicine, University of Valencia, INCLIVA, Valencia, Spain; CIBERSAM, Madrid, Spain.
| | - George Tadros
- Birmingham & Solihull Mental Health Foundation Trust, Old Age Psychiatry, Queen Elizabeth Psychiatric Hospital, Birmingham, UK.
| | - Elzbieta Campos
- Portugal Centre for Evidence Based Practice, Health Sciences Research Unit: Nursing (UICISA: E), Nursing School of Coimbra, Portugal.
| | - Nadine Santos
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga, Guimarães, Portugal.
| | | | - Maura Marcucci
- Geriatric Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico & Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
| | - Isabel Varela-Nieto
- Institute for Biomedical Research, CSIC-UAM and IdiPAZ-CIBERER, Madrid 28029, Spain.
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, School of Medicine, University of Cantabria, Marqués de Valdecilla Hospital, Santander, Spain; IDIVAL, Santander, Spain; CIBERSAM, Madrid, Spain.
| | - Eduard Vieta
- Barcelona Bipolar Disorders Programme, Hospital Clinic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain.
| | | | - Gabriel Selva-Vera
- Department of Medicine, University of Valencia, INCLIVA, Valencia, Spain; CIBERSAM, Madrid, Spain.
| | - Vicent Balanzá-Martínez
- Department of Medicine, La Fe University and Polytechnic Hospital, CIBERSAM, University of Valencia, Valencia, Spain.
| | - Antonio Cano
- Department of Pediatrics, Obstetrics and Gynecology, University of Valencia, Spain; Service of Obstetrics and Gynecology, INCLIVA, Valencia, Spain.
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916
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Souillard-Mandar W, Davis R, Rudin C, Au R, Libon DJ, Swenson R, Price CC, Lamar M, Penney DL. Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test. Mach Learn 2015; 102:393-441. [PMID: 27057085 DOI: 10.1007/s10994-015-5529-5] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The Clock Drawing Test - a simple pencil and paper test - has been used for more than 50 years as a screening tool to differentiate normal individuals from those with cognitive impairment, and has proven useful in helping to diagnose cognitive dysfunction associated with neurological disorders such as Alzheimer's disease, Parkinson's disease, and other dementias and conditions. We have been administering the test using a digitizing ballpoint pen that reports its position with considerable spatial and temporal precision, making available far more detailed data about the subject's performance. Using pen stroke data from these drawings categorized by our software, we designed and computed a large collection of features, then explored the tradeoffs in performance and interpretability in classifiers built using a number of different subsets of these features and a variety of different machine learning techniques. We used traditional machine learning methods to build prediction models that achieve high accuracy. We operationalized widely used manual scoring systems so that we could use them as benchmarks for our models. We worked with clinicians to define guidelines for model interpretability, and constructed sparse linear models and rule lists designed to be as easy to use as scoring systems currently used by clinicians, but more accurate. While our models will require additional testing for validation, they offer the possibility of substantial improvement in detecting cognitive impairment earlier than currently possible, a development with considerable potential impact in practice.
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Affiliation(s)
| | - Randall Davis
- MIT Computer Science And Artificial Intelligence Laboratory, Tel.: +1-617-253-5879,
| | - Cynthia Rudin
- MIT Computer Science And Artificial Intelligence Laboratory,
| | - Rhoda Au
- Boston University School of Medicine,
| | - David J Libon
- Drexel Neuroscience Institute, Drexel University College of Medicine,
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917
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Knopman DS, Beiser A, Machulda MM, Fields J, Roberts RO, Pankratz VS, Aakre J, Cha RH, Rocca WA, Mielke MM, Boeve BF, Devine S, Ivnik RJ, Au R, Auerbach S, Wolf PA, Seshadri S, Petersen RC. Spectrum of cognition short of dementia: Framingham Heart Study and Mayo Clinic Study of Aging. Neurology 2015; 85:1712-21. [PMID: 26453643 DOI: 10.1212/wnl.0000000000002100] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Accepted: 06/08/2015] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To understand the neuropsychological basis of dementia risk among persons in the spectrum including cognitive normality and mild cognitive impairment. METHODS We quantitated risk of progression to dementia in elderly persons without dementia from 2 population-based studies, the Framingham Heart Study (FHS) and Mayo Clinic Study of Aging (MCSA), aged 70 to 89 years at enrollment. Baseline cognitive status was defined by performance in 4 domains derived from batteries of neuropsychological tests (that were similar but not identical for FHS and MCSA) at cut scores corresponding to SDs of ≤-0.5, -1, -1.5, and -2 from normative means. Participants were characterized as having no cognitive impairment (reference group), or single or multiple amnestic or nonamnestic profiles at each cut score. Incident dementia over the following 6 years was determined by consensus committee at each study separately. RESULTS The pattern of hazard ratios for incident dementia, rates of incident dementia and positive predictive values across cognitive test cut scores, and number of affected domains was similar although not identical across the FHS and MCSA. Dementia risks were higher for amnestic profiles than for nonamnestic profiles, and for multidomain compared with single-domain profiles. CONCLUSIONS Cognitive domain subtypes, defined by neuropsychologically derived cut scores and number of low-performing domains, differ substantially in prognosis in a conceptually logical manner that was consistent between FHS and MCSA. Neuropsychological characterization of elderly persons without dementia provides valuable information about prognosis. The heterogeneity of risk of dementia cannot be captured concisely with one test or a single definition or cutpoint.
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Affiliation(s)
- David S Knopman
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA.
| | - Alexa Beiser
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Mary M Machulda
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Julie Fields
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Rosebud O Roberts
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - V Shane Pankratz
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Jeremiah Aakre
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Ruth H Cha
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Walter A Rocca
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Michelle M Mielke
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Bradley F Boeve
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Sherral Devine
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Robert J Ivnik
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Rhoda Au
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Sanford Auerbach
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Philip A Wolf
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Sudha Seshadri
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
| | - Ronald C Petersen
- From the Department of Neurology, Mayo Alzheimer's Disease Research Center (D.S.K., B.F.B., R.C.P., R.O.R., W.A.R.), Division of Epidemiology, Department of Health Sciences Research (R.O.R., M.M. Mielke, W.A.R., R.C.P.), Division of Biostatistics and Bioinformatics, Department of Health Sciences Research (V.S.P., J.A., R.H.C.), and Department of Psychiatry and Psychology, Division of Neurocognitive Disorders (R.J.I., M.M. Machulda, J.F.), College of Medicine, Mayo Clinic, Rochester, MN; and Departments of Neurology (A.B., S.D., R.A., S.A., P.A.W., S.S.) and Biostatistics (A.B.), Boston University Schools of Medicine and Public Health, MA
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918
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Kinsella GJ, Ames D, Storey E, Ong B, Pike KE, Saling MM, Clare L, Mullaly E, Rand E. Strategies for Improving Memory: A Randomized Trial of Memory Groups for Older People, Including those with Mild Cognitive Impairment. J Alzheimers Dis 2015; 49:31-43. [DOI: 10.3233/jad-150378] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Glynda J. Kinsella
- School of Psychology & Public Health, La Trobe University, Melbourne, Australia
- Department of Psychology, Caulfield Hospital, Caulfield, Australia
| | - David Ames
- National Ageing Research Institute, Parkville, Australia
- University of Melbourne Academic Unit for Psychiatry of Old Age, St George’s Hospital, Kew, Australia
| | - Elsdon Storey
- Department of Neuroscience (Medicine), Monash University, Alfred Hospital Campus, Melbourne, Australia
| | - Ben Ong
- School of Psychology & Public Health, La Trobe University, Melbourne, Australia
| | - Kerryn E. Pike
- School of Psychology & Public Health, La Trobe University, Melbourne, Australia
| | | | - Linda Clare
- Department of Psychology, University of Exeter, Exete, UK
| | - Elizabeth Mullaly
- Cognitive, Dementia and Memory Service, Caulfield Hospital, Caulfield, Australia
| | - Elizabeth Rand
- Cognitive, Dementia and Memory Service, Caulfield Hospital, Caulfield, Australia
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919
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Abstract
The American Psychiatric Association has recently published the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). The DSM-IV category "Dementia, Delirium, Amnestic, and Other Cognitive Disorders" has undergone extensive revision. DSM-5 has renamed this category as "Neurocognitive Disorders" (NCD), which now covers three entities: delirium, major NCD, and mild NCD. The DSM-IV version of mild NCD resembles the DSM-5 version in name only. DSM-IV defined mild NCD based on a single criterion, whereas DSM-5 defines mild NCD by using several cognitive and related criteria. The main difference between mild NCD and the Key International Symposium criteria of mild cognitive impairment (MCI) is that the research work that led to the construct of MCI primarily involved elderly study participants (even though age was not part of the definition of MCI), whereas mild NCD includes acquired cognitive disorders of all age groups. DSM-5 essentially discusses the epidemiology and diagnostic markers of mild NCD by drawing congruence between MCI and mild NCD. The DSM-5 definition of mild NCD is anchored on four criteria and two specifiers. The four criteria refer to cognitive changes, functional activities, and exclusion of delirium and competing mental disorders. The two specifiers are the presumed etiologies of mild NCD and the presence or absence of behavioral problems. While the category "mild NCD" may improve reliability of diagnoses, it has yet to withstand scientific scrutiny to be considered a valid construct. This article reviews the DSM-5 criteria for mild NCD, compares them with the Key International Symposium MCI criteria, and discusses the pros and cons of the mild NCD construct.
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920
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Maestri M, Carnicelli L, Tognoni G, Di Coscio E, Giorgi FS, Volpi L, Economou NT, Ktonas P, Ferri R, Bonuccelli U, Bonanni E. Non-rapid eye movement sleep instability in mild cognitive impairment: a pilot study. Sleep Med 2015; 16:1139-45. [DOI: 10.1016/j.sleep.2015.04.027] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Revised: 04/01/2015] [Accepted: 04/27/2015] [Indexed: 01/29/2023]
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921
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Discriminative power of the advanced activities of daily living (a-ADL) tool in the diagnosis of mild cognitive impairment in an older population. Int Psychogeriatr 2015; 27:1419-27. [PMID: 25901578 DOI: 10.1017/s1041610215000563] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Mild cognitive impairment (MCI) is characterized by subjective and objective memory impairments in the absence of manifest functional decline. Mild changes in activities of daily living (ADL) can be present and probably predict conversion to dementia. A new advanced (a)-ADL tool was developed, evaluating high-level activities and, taking each participant as their own reference, distinguishing a global Disability Index (a-ADL-DI), a Cognitive Disability Index (a-ADL-CDI), and a Physical Disability Index (a-ADL-PDI), based on the number of activities performed and the severity and causes of the functional problem. This study evaluates the discriminative validity of the a-ADL in MCI. METHOD Based upon clinical evaluation and a set of global, cognitive, mood, and functional assessments, 150 community-dwelling participants (average age 80.3 years (SD 5; 66-91)) were included and diagnosed as (1) cognitively healthy participants (n = 50); (2) patients with a-MCI (n = 48), or (3) mild to moderate AD (n = 52). The a-ADL tool was not a part of the clinical evaluation. RESULTS The a-ADL-DI and the a-ADL-CDI showed a sensitivity and specificity ranging from 70% to 94.2%, Positive Predictive Value ranging from 70% till 93.8%, and Negative Predictive Value from 64.4% and 93.8%, an area under the curve (AUC) ranging from 0.791 to 0.960. Functional decline related to physical deficits, as assessed by the a-ADL-PDI, did not discriminate between the different groups. CONCLUSION The a-ADL tool has a good ability to distinguish normal and pathological cognitive aging. Its discriminative power for underlying causes of limitations may be an advantage.
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922
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van den Dungen P, Moll van Charante EP, van de Ven PM, Foppes G, van Campen JPCM, van Marwijk HWJ, van der Horst HE, van Hout HPJ. Dutch family physicians' awareness of cognitive impairment among the elderly. BMC Geriatr 2015; 15:105. [PMID: 26310787 PMCID: PMC4549900 DOI: 10.1186/s12877-015-0105-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Accepted: 08/19/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Dementia is often not formally diagnosed in primary care. To what extent this is due to family physicians' (FPs) watchful waiting, reluctance to diagnose or to their unawareness of the presence of cognitive impairment is unclear. The objective of this study was to assess FPs' awareness of cognitive impairment by comparing their evaluation of the absence or presence of cognitive impairment in older patients without an established diagnosis of dementia, with a reference test of cognitive functioning. In addition, we assessed which patient characteristics were associated with con- and discordance between FPs' evaluation of cognition and results of the reference test. METHODS The design was a nested diagnostic study. FPs (n = 29) of 15 primary care practices classified the cognitive status of all their patients ≥ 65 years of age (n = 7865) into four categories, based on recollection and medical records. All patients categorized as 'possible cognitive impairment or dementia' and a sample of patients categorized as 'no signs of cognitive impairment' randomly selected to match age and gender were offered to receive a reference test of cognitive function (the CAMCOG) to verify the FPs' label. This reference test could yield three outcomes: no cognitive impairment, amnestic mild cognitive impairment (aMCI) or dementia. Reference test results were weighted back to the original samples to provide estimates for the correct categorization of elderly as 'possible cognitive impairment or dementia' (positive predictive value [PPV]) and 'no signs of cognitive impairment' (negative predictive value [NPV]). Cognitive functioning was not assessed for patients evaluated by FPs as 'probable dementia' and 'unknown or no recent contact'. Characteristics associated with the con- or discordance of the FPs' classification and the reference test were assessed using logistic regression. RESULTS Complete reference test results were obtained from 318 elderly. FPs labeled 8.3 % of elderly 'possible cognitive impairment or dementia'. The PPV of this label for a CAMCOG score suggestive of dementia or aMCI was 47.1 % (95 %-confidence interval: 43.5 - 62.4 %). FPs labeled 83.7 % 'no signs of cognitive impairment'. The 1-NPV of this label for a CAMCOG score suggestive of dementia or aMCI was 12.5 % (95 %-CI 8.2 - 16.8 %). FPs labeled 3.6 % as 'probable dementia' and 4.5 % as 'unknown or no recent contact'. The odds that FPs' suspicion of cognitive impairment were confirmed by the CAMCOG were higher if persons were ADL dependent (OR 2.24 [95 %-CI 1.16 - 4.35]). The odds of FPs being unaware of the presence of cognitive impairment were higher in the older elderly (OR 1.15 [95 %-CI 1.09 - 1.23] per year). CONCLUSION Evaluation of FPs' classification of the global cognitive function of elderly without a firm diagnosis of dementia showed both over- and unawareness of the presence of cognitive impairment. FPs were more often unaware of cognitive impairment in the older elderly.
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Affiliation(s)
- Pim van den Dungen
- Department of General Practice and Elderly Care Medicine, EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, Van der Boechorststraat 7, 1081, BT, Amsterdam, The Netherlands.
| | - Eric P Moll van Charante
- Department of General Practice, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
| | - Peter M van de Ven
- Department of Epidemiology and Biostatistics, VU University Medical Center Amsterdam, Amsterdam, The Netherlands.
| | - Gerbrand Foppes
- Department of General Practice and Elderly Care Medicine, EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, Van der Boechorststraat 7, 1081, BT, Amsterdam, The Netherlands.
| | - Jos P C M van Campen
- Department of Geriatric Medicine, Slotervaart Hospital, Amsterdam, The Netherlands.
| | - Harm W J van Marwijk
- Department of General Practice and Elderly Care Medicine, EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, Van der Boechorststraat 7, 1081, BT, Amsterdam, The Netherlands.
- Primary Care Research Centre, Institute of Population Health, University of Manchester, Manchester, UK.
| | - Henriëtte E van der Horst
- Department of General Practice and Elderly Care Medicine, EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, Van der Boechorststraat 7, 1081, BT, Amsterdam, The Netherlands.
| | - Hein P J van Hout
- Department of General Practice and Elderly Care Medicine, EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, Van der Boechorststraat 7, 1081, BT, Amsterdam, The Netherlands.
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923
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Cai S, Chong T, Zhang Y, Li J, von Deneen KM, Ren J, Dong M, Huang L. Altered Functional Connectivity of Fusiform Gyrus in Subjects with Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study. Front Hum Neurosci 2015; 9:471. [PMID: 26379534 PMCID: PMC4550786 DOI: 10.3389/fnhum.2015.00471] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 08/12/2015] [Indexed: 11/30/2022] Open
Abstract
Visual cognition such as face recognition requests a high degree of functional integration between distributed brain areas of a network. It has been reported that the fusiform gyrus (FG) is an important brain area involved in facial cognition; altered connectivity of FG to some other regions may lead to a deficit in visual cognition especially face recognition. However, whether functional connectivity between the FG and other brain areas changes remains unclear in the resting state in amnestic mild cognitive impairment (aMCI) subjects. Here, we employed a resting-state functional MRI (fMRI) to examine alterations in functional connectivity of left/right FG comparing aMCI patients with age-matched control subjects. Forty-eight aMCI and 38 control subjects from the Alzheimer’s disease Neuroimaging Initiative were analyzed. We concentrated on the correlation between low frequency fMRI time courses in the FG and those in all other brain regions. Relative to the control group, we found some discrepant regions in the aMCI group which presented increased or decreased connectivity with the left/right FG including the left precuneus, left lingual gyrus, right thalamus, supramarginal gyrus, left supplementary motor area, left inferior temporal gyrus, and left parahippocampus. More importantly, we also obtained that both left and right FG have increased functional connections with the left middle occipital gyrus (MOG) and right anterior cingulate gyrus (ACC) in aMCI patients. That was not a coincidence and might imply that the MOG and ACC also play a critical role in visual cognition, especially face recognition. These findings in a large part supported our hypothesis and provided a new insight in understanding the important subtype of MCI.
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Affiliation(s)
- Suping Cai
- School of Life Science and Technology, Xidian University , Xi'an , China
| | - Tao Chong
- School of Life Science and Technology, Xidian University , Xi'an , China
| | - Yun Zhang
- School of Life Science and Technology, Xidian University , Xi'an , China
| | - Jun Li
- School of Life Science and Technology, Xidian University , Xi'an , China
| | - Karen M von Deneen
- School of Life Science and Technology, Xidian University , Xi'an , China
| | - Junchan Ren
- School of Life Science and Technology, Xidian University , Xi'an , China
| | - Minghao Dong
- School of Life Science and Technology, Xidian University , Xi'an , China
| | - Liyu Huang
- School of Life Science and Technology, Xidian University , Xi'an , China
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924
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Abstract
OPINION STATEMENT It is increasingly evident that early identification of cognitive impairment in older adults presents opportunities for interventions that aim to mitigate the impact of cognitive symptoms on daily function and that attempt to delay (or ultimately prevent) progression from mild cognitive impairment (MCI) to dementia. To date, no intervention has proven protective in ultimately preventing conversion to dementia. However, several lifestyle, dietary, and pharmacologic interventions have suggested symptomatic benefit for those having MCI. A number of diet and lifestyle recommendations have been associated with decreased risk of dementia both in cognitively intact older adults and in those having mild cognitive impairment. Thus, these recommendations may be appropriate for both people presenting with subjective cognitive concerns and for those having objective evidence of memory problems. It remains less certain whether adopting these lifestyle habits in later life confers the benefits seen in epidemiological cohorts (where people have likely practiced them for many years). Discussion of starting on a cholinesterase inhibitor is appropriate for those having MCI, particularly those in whom the MCI is thought to have a vascular etiology or to represent the prodromal stage of a neurodegenerative disease. Recent meta-analyses exploring the use of cholinesterase inhibitors in patients having MCI have concluded that there is no evidence to support this practice. Although meta-analytic techniques seemingly strengthen the confidence in a recommendation via the incorporation of a large number of subjects analyzed, the technique is not capable of overcoming any inherent weaknesses of the individual studies included in the analysis. It is arguable whether studies in MCI may have employed endpoints poorly adapted to investigating effect of cholinesterase inhibitors. Most studies have used cognitive screening examinations, all of which stretch their detection ability to identify subjects with MCI, let alone discriminate subtle differences between them. Some have used conversion from MCI to dementia as an endpoint, which may not be the best measure for a symptomatic treatment. Further, once conversion to dementia has occurred, a cholinesterase inhibitor would be started in most (if not all) clinical settings, a reality not well reflected in most study designs. Additionally, several large studies have not permitted subject stratification by APOE carrier status, another important defect in assessing outcome. In clinical practice, our center typically does recommend cholinesterase inhibitors for patients having MCI. Despite the modest effect size, many patients do wish to start on treatment. It appears that this is a generally accepted practice and experience, as most clinical trials for prodromal Alzheimer's disease specify that participants should be taking a cholinesterase inhibitor.
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Affiliation(s)
- Brendan J Kelley
- Department of Neurology, The Ohio State University, 395 W. 12th Ave.-7th Floor, Columbus, OH, 43210, USA,
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925
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Moon JH, Lim S, Han JW, Kim KM, Choi SH, Kim KW, Jang HC. Serum 25-hydroxyvitamin D level and the risk of mild cognitive impairment and dementia: the Korean Longitudinal Study on Health and Aging (KLoSHA). Clin Endocrinol (Oxf) 2015; 83:36-42. [PMID: 25641087 DOI: 10.1111/cen.12733] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Revised: 01/09/2015] [Accepted: 01/28/2015] [Indexed: 12/11/2022]
Abstract
OBJECTIVE The association of low vitamin D status with mild cognitive impairment (MCI), a preclinical condition that can lead to dementia, has not yet been fully explored. Our aim was to investigate the association between vitamin D status and the future risk of MCI and dementia in older adults. DESIGN, SETTING AND PARTICIPANTS We conducted a population-based prospective study as a part of the Korean Longitudinal Study on Health and Aging. Four hundred and twelve elderly participants who completed evaluations of cognitive function and metabolic parameters in 2005-2006 and 2010-2011 were analysed. MAJOR OUTCOME MEASURE The rate of development of MCI or dementia during the study period was compared according to baseline vitamin D status. Binary logistic regression analysis was performed to investigate any independent association between vitamin D status and the risks of MCI or dementia. RESULTS Among 405 subjects that remained after excluding seven demented subjects at baseline, 338 subjects remained unchanged or improved in their diagnosis for cognitive function during the study period, whereas 67 subjects showed progression to MCI or dementia. When analyzing 236 subjects whose baseline mini-mental state examination (MMSE) scores were <27, severe vitamin D deficiency at baseline, defined as <25 nmol/l, was independently associated with the progression of cognitive impairment. Among 297 subjects who were normal at baseline, 50 acquired MCI and 247 remained normal. Severe vitamin D deficiency was also independently associated with the development of MCI when analyzing 145 subjects whose baseline MMSE scores were <27. CONCLUSION Severe vitamin D deficiency was independently associated with the future risk of MCI as well as dementia, especially in older adults whose baseline MMSE scores had decreased only modestly.
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Affiliation(s)
- J H Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Korea
| | - S Lim
- Department of Internal Medicine, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Korea
| | - J W Han
- Department of Neuropsychiatry, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Korea
| | - K M Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Korea
| | - S H Choi
- Department of Internal Medicine, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Korea
| | - K W Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Korea
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, Korea
| | - H C Jang
- Department of Internal Medicine, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Korea
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926
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Cognitive impairment and its consequences in everyday life: experiences of people with mild cognitive impairment or mild dementia and their relatives. Int Psychogeriatr 2015; 27:949-58. [PMID: 25644289 DOI: 10.1017/s1041610215000058] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND The aim of this study was to explore experiences of cognitive impairment, its consequences in everyday life and need for support in people with mild cognitive impairment (MCI) or mild dementia and their relatives. METHODS A qualitative approach with an explorative design with interviews was chosen. The participants included five people with MCI and eight people with mild dementia and their relatives. All participants were recruited at a geriatric memory clinic in Sweden. The Grounded Theory method was used. RESULTS The following categories emerged: noticing cognitive changes; changed activity patterns; coping strategies; uncertainty about own ability and environmental reactions; support in everyday life; support from the healthcare system; consequences in everyday life for relatives; and support for relatives. The main findings were that people with MCI and dementia experienced cognitive changes that could be burdensome and changed activity patterns. Most of them, however, considered themselves capable of coping on their own. The relatives noticed cognitive changes and activity disruptions to a greater extent and tried to be supportive in everyday life. Degree of awareness varied and lack of awareness could lead to many problems in everyday life. CONCLUSIONS Perceived cognitive impairment and its consequences in everyday life were individual and differed among people with MCI or dementia and their relatives. Thus, healthcare professionals must listen to both people with cognitive impairment and their relatives for optimal individual care planning. Support such as education groups and day care could be more tailored towards the early stages of dementia.
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927
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[Quality of registration of dementia diagnosis in primary care: The situation in Spain in 2002-2011]. Aten Primaria 2015; 48:33-41. [PMID: 26026620 PMCID: PMC6877848 DOI: 10.1016/j.aprim.2015.03.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Revised: 02/27/2015] [Accepted: 03/04/2015] [Indexed: 11/22/2022] Open
Abstract
Objetivo Comprobar el diagnóstico asociado al tratamiento específico para demencia en la historia clínica electrónica de atención primaria (HCE-AP) y analizar los factores asociados a la calidad del registro Método Estudio descriptivo de los pacientes con anticolinesterásicos o memantina registrados en la Base para Investigación Farmacoepidemiológica en atención primaria (BIFAP) 2011: 24.575 pacientes entre 2002 y 2011. Los diagnósticos asociados a la primera prescripción de estos fármacos se agruparon en 5 categorías: «demencia», «alteraciones de memoria», «enfermedades relacionadas con demencia», «procesos intercurrentes» y «códigos de conveniencia». Se calculó la prevalencia de cada categoría por edad y sexo en cada año de estudio (IC 95%) y se analizaron asociaciones y tendencia 2002-2011, utilizando diferencias de proporciones para muestras independientes y regresión logística binaria. Resultados El 56,5% (IC 95%: 55,8-57,1) de los pacientes tenían asociado código «demencia» a la primera prescripción. Se registró mejor en mujeres (OR: 1,09 [IC 95%: 1,03-1,15]) y al aumentar el tiempo transcurrido (OR: 1,07 [IC 95%: 1,06-1,08] por cada año de seguimiento). Los «códigos de conveniencia» (16,3% [IC 95%: 15,8-16,7]) se utilizaron más en mujeres y ≥ 80 años; las «alteraciones de memoria» (12,4% [IC 95%: 12,0-12,8]), «enfermedades relacionadas» (4,6% [IC 95%: 4,4-4,8]) y «procesos intercurrentes» (10,3% [IC 95%: 9,9-10,6]) más en hombres y < 80 años. De 2002 a 2011 mejoró el uso de «códigos de conveniencia». Conclusiones Casi la mitad de los pacientes con anticolinesterásicos o memantina no tienen registrado diagnóstico de demencia en su HCE-AP. El registro mejora al aumentar el tiempo de seguimiento. Se requieren mejoras de la HCE-AP, coordinación asistencial adecuada y actitud activa para aumentar la calidad del registro de demencia.
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928
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Belchior P, Korner-Bitensky N, Holmes M, Robert A. Identification and assessment of functional performance in mild cognitive impairment: a survey of occupational therapy practices. Aust Occup Ther J 2015; 62:187-96. [PMID: 25950462 DOI: 10.1111/1440-1630.12201] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/11/2015] [Indexed: 12/01/2022]
Abstract
BACKGROUND/AIM Despite the amount of research evidence pointing to functional changes experienced by individuals with mild cognitive impairment (MCI), we still do not understand how occupational therapists are currently addressing these concerns. Thus, we designed a national study to investigate Canadian occupational therapists practices with this clientele. METHODS We conducted a Canada-wide online survey to investigate occupational therapists' practices with clients with potential MCI. Clinicians were prompted by a case vignette that described two clients: one vignette included cues associated with amnestic MCI (aMCI), the other non-amnestic MCI (naMCI). Specifically, clinicians were asked to identify potential concerns and to indicate the screening and assessment tools they would use in clinical practice. RESULTS Two hundred and eighty-five participants met the inclusion criteria and were included in the final analysis. The average clinician age was 38.6 (SD = 10.3), 92% were female and 71.2% worked full-time. Almost all clinicians identified a concern in both vignettes, with cognitive concerns being identified more frequently than functional concerns [i.e. Instrumental Activities of Daily Living (IADL) concerns]. In terms of assessment practices, 18 standardised IADL assessments and 10 standardised cognitive assessments have been reported. CONCLUSION Encouragingly, almost all clinicians identified a concern. However, some are still missing the IADL cues. Moreover, the lack of consensus in terms of which assessment practices to employ indicates that clinicians might benefit from guidelines in this area of practice.
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Affiliation(s)
- Patrícia Belchior
- Faculty of Medicine, School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - Nicol Korner-Bitensky
- Faculty of Medicine, School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - Melanie Holmes
- MAB-Mackay Rehabilitaiton Center, Montreal, Quebec, Canada
| | - Alexandra Robert
- Faculty of Medicine, School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
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929
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Jak AJ, Panizzon MS, Spoon KM, Fennema-Notestine C, Franz CE, Thompson WK, Jacobson KC, Xian H, Eyler LT, Vuoksimaa E, Toomey R, Lyons MJ, Neale MC, Tsuang MT, Dale AM, Kremen WS. Hippocampal atrophy varies by neuropsychologically defined MCI among men in their 50s. Am J Geriatr Psychiatry 2015; 23:456-65. [PMID: 25306196 PMCID: PMC4345132 DOI: 10.1016/j.jagp.2014.08.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2013] [Revised: 08/06/2014] [Accepted: 08/12/2014] [Indexed: 01/31/2023]
Abstract
OBJECTIVE In an effort to address earliest detection of mild cognitive impairment (MCI), we examined hippocampal volumes and atrophy in middle-aged men to explore neuroanatomical support for different neuropsychological definitions of MCI. METHODS 460 men aged 51-60 years underwent neuropsychological testing and MRI. MCI was defined according to five criteria sets. MRI-derived hippocampal volume and hippocampal occupancy (HOC) were obtained via FreeSurfer. Statistical analyses were performed using linear mixed models. RESULTS Differences in HOC between normal cognitive functioning, amnestic, and non-amnestic MCI were observed using MCI criteria that required one impaired (>1.5 SD) cognitive measure in a given cognitive domain or a cognitive composite score method with a cut-point 2 SD below the mean. Differences in standard hippocampal volume were only found between normal and amnestic presentations and only when using the composite score method. CONCLUSION Results provide empirical support for detection of pre-MCI in younger cohorts. Convergence of neuropsychological and neuroanatomical data, particularly HOC (as opposed to standard cross-sectional volume), supports early identification of MCI as defined by some neuropsychological criteria.
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Affiliation(s)
- Amy J. Jak
- Psychology Service, VA San Diego Healthcare System, 3350 La Jolla Village Dr., La Jolla, CA, 92161, USA
,Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, 3350 La Jolla Village Dr., La Jolla, CA, 92161, USA
,Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
| | - Matthew S. Panizzon
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
,Twin Research Laboratory, Center for Behavioral Genomics, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
| | - Kelly M. Spoon
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
,Twin Research Laboratory, Center for Behavioral Genomics, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
,Computational Science Research Center, San Diego State University/Claremont Graduate University, 5500 Campanile Drive, San Diego, CA 92182-1245, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
,Department of Radiology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Carol E. Franz
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
,Twin Research Laboratory, Center for Behavioral Genomics, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
| | - Wesley, K. Thompson
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
,Twin Research Laboratory, Center for Behavioral Genomics, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
| | - Kristen C. Jacobson
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, 5841 S. Maryland Ave., Chicago, IL 60637, USA
| | - Hong Xian
- Department of Biostatistics, Saint Louis University School of Public Health, 3545 Lafayette Avenue, St. Louis, MO 63104, USA
,VA St. Louis Healthcare System, 915 North Grand Blvd., St. Louis, MO 63106, USA
| | - Lisa T. Eyler
- Psychology Service, VA San Diego Healthcare System, 3350 La Jolla Village Dr., La Jolla, CA, 92161, USA
,Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
| | - Eero Vuoksimaa
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
,Twin Research Laboratory, Center for Behavioral Genomics, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
,Department of Public Health, University of Helsinki, PO Box 41 (Mannerheimintie 172) FI-00014, Helsinki, Finland and the Academy of Finland
| | - Rosemary Toomey
- Department of Psychology, Boston University, 64 Cummington Mall, Boston, MA 02215, USA
| | - Michael J. Lyons
- Department of Psychology, Boston University, 64 Cummington Mall, Boston, MA 02215, USA
| | - Michael C. Neale
- Departments of Psychiatry and Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, 23298, USA
| | - Ming T. Tsuang
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, 3350 La Jolla Village Dr., La Jolla, CA, 92161, USA
,Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
,Twin Research Laboratory, Center for Behavioral Genomics, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
| | - Anders M. Dale
- Department of Radiology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
,Department of Neurosciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - William S. Kremen
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, 3350 La Jolla Village Dr., La Jolla, CA, 92161, USA
,Department of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
,Twin Research Laboratory, Center for Behavioral Genomics, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0603, USA
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930
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Faria CDA, Alves HVD, Charchat-Fichman H. The most frequently used tests for assessing executive functions in aging. Dement Neuropsychol 2015; 9:149-155. [PMID: 29213956 PMCID: PMC5619353 DOI: 10.1590/1980-57642015dn92000009] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2015] [Accepted: 04/18/2015] [Indexed: 01/01/2024] Open
Abstract
There are numerous neuropsychological tests for assessing executive functions in aging, which vary according to the different domains assessed. OBJECTIVE To present a systematic review of the most frequently used instruments for assessing executive functions in older adults with different educational levels in clinical and experimental research. METHODS We searched for articles published in the last five years, using the PubMed database with the following terms: "neuropsychological tests", "executive functions", and "mild cognitive impairment". There was no language restriction. RESULTS 25 articles fulfilled all the inclusion criteria. The seven neuropsychological tests most frequently used to evaluate executive functions in aging were:[1] Trail Making Test (TMT) Form B;[2] Verbal Fluency Test (VFT) - F, A and S;[3] VFT Animals category;[4] Clock Drawing Test (CDT);[5] Digits Forward and Backward subtests (WAIS-R or WAIS-III);[6] Stroop Test; and[7] Wisconsin Card Sorting Test (WCST) and its variants. The domains of executive functions most frequently assessed were: mental flexibility, verbal fluency, planning, working memory, and inhibitory control. CONCLUSION The study identified the tests and domains of executive functions most frequently used in the last five years by research groups worldwide to evaluate older adults. These results can direct future research and help build evaluation protocols for assessing executive functions, taking into account the different educational levels and socio-demographic profiles of older adults in Brazil.
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931
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Moon JH, Lim S, Han JW, Kim KM, Choi SH, Park KS, Kim KW, Jang HC. Carotid intima-media thickness is associated with the progression of cognitive impairment in older adults. Stroke 2015; 46:1024-30. [PMID: 25737314 DOI: 10.1161/strokeaha.114.008170] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE We investigated the association between cardiovascular risk factors, including carotid intima-media thickness (CIMT), and future risk of mild cognitive impairment (MCI) and dementia in elderly subjects. METHODS We conducted a population-based prospective study as a part of the Korean Longitudinal Study on Health and Aging. Our study included 348 participants who were nondemented at the baseline (mean age, 71.7±6.3 years) and underwent cognitive evaluation at the 5-year follow-up. Baseline cardiovascular risk factors were compared according to the development of MCI or dementia during the study period. RESULTS At the baseline evaluation, 278 subjects were cognitively normal and 70 subjects had MCI. Diagnoses of cognitive function either remained unchanged or improved during the study period in 292 subjects (nonprogression group), whereas 56 subjects showed progression of cognitive impairment to MCI or dementia (progression group). The progression group exhibited a higher prevalence of hypertension and greater CIMT compared with the nonprogression group. Other baseline cardiovascular risk factors, including sex, body mass index, diabetes mellitus, insulin resistance, total cholesterol, waist-to-hip ratio, visceral fat, pulse wave velocity, and ankle-brachial index, were not significantly different between 2 groups. The association between greater baseline CIMT and the progression of cognitive impairment was maintained after adjustment for conventional baseline risk factors of cognitive impairment. Greater baseline CIMT was also independently associated with the development of MCI in the subjects whose baseline cognitive function was normal. CONCLUSIONS Greater baseline CIMT was independently associated with the risk of cognitive impairment, such as MCI and dementia in elderly subjects.
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Affiliation(s)
- Jae Hoon Moon
- From the Departments of Internal Medicine (J.H.M., S.L., K.M.K., S.H.C., H.C.J.) and Neuropsychiatry (J.W.H., K.W.K.), Seoul National University Bundang Hospital, and Department of Internal Medicine, Seoul National University Hospital (K.S.P.), Seoul National University College of Medicine, Seoul, Korea; and Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, Korea (K.W.K.)
| | - Soo Lim
- From the Departments of Internal Medicine (J.H.M., S.L., K.M.K., S.H.C., H.C.J.) and Neuropsychiatry (J.W.H., K.W.K.), Seoul National University Bundang Hospital, and Department of Internal Medicine, Seoul National University Hospital (K.S.P.), Seoul National University College of Medicine, Seoul, Korea; and Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, Korea (K.W.K.)
| | - Ji Won Han
- From the Departments of Internal Medicine (J.H.M., S.L., K.M.K., S.H.C., H.C.J.) and Neuropsychiatry (J.W.H., K.W.K.), Seoul National University Bundang Hospital, and Department of Internal Medicine, Seoul National University Hospital (K.S.P.), Seoul National University College of Medicine, Seoul, Korea; and Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, Korea (K.W.K.)
| | - Kyoung Min Kim
- From the Departments of Internal Medicine (J.H.M., S.L., K.M.K., S.H.C., H.C.J.) and Neuropsychiatry (J.W.H., K.W.K.), Seoul National University Bundang Hospital, and Department of Internal Medicine, Seoul National University Hospital (K.S.P.), Seoul National University College of Medicine, Seoul, Korea; and Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, Korea (K.W.K.)
| | - Sung Hee Choi
- From the Departments of Internal Medicine (J.H.M., S.L., K.M.K., S.H.C., H.C.J.) and Neuropsychiatry (J.W.H., K.W.K.), Seoul National University Bundang Hospital, and Department of Internal Medicine, Seoul National University Hospital (K.S.P.), Seoul National University College of Medicine, Seoul, Korea; and Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, Korea (K.W.K.)
| | - Kyong Soo Park
- From the Departments of Internal Medicine (J.H.M., S.L., K.M.K., S.H.C., H.C.J.) and Neuropsychiatry (J.W.H., K.W.K.), Seoul National University Bundang Hospital, and Department of Internal Medicine, Seoul National University Hospital (K.S.P.), Seoul National University College of Medicine, Seoul, Korea; and Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, Korea (K.W.K.)
| | - Ki Woong Kim
- From the Departments of Internal Medicine (J.H.M., S.L., K.M.K., S.H.C., H.C.J.) and Neuropsychiatry (J.W.H., K.W.K.), Seoul National University Bundang Hospital, and Department of Internal Medicine, Seoul National University Hospital (K.S.P.), Seoul National University College of Medicine, Seoul, Korea; and Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, Korea (K.W.K.).
| | - Hak Chul Jang
- From the Departments of Internal Medicine (J.H.M., S.L., K.M.K., S.H.C., H.C.J.) and Neuropsychiatry (J.W.H., K.W.K.), Seoul National University Bundang Hospital, and Department of Internal Medicine, Seoul National University Hospital (K.S.P.), Seoul National University College of Medicine, Seoul, Korea; and Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, Korea (K.W.K.).
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932
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Michaud TL, Kane RL, McCarten JR, Gaugler JE, Nyman JA, Kuntz KM. Risk Stratification Using Cerebrospinal Fluid Biomarkers in Patients with Mild Cognitive Impairment: An Exploratory Analysis. J Alzheimers Dis 2015; 47:729-40. [PMID: 26401707 PMCID: PMC6342191 DOI: 10.3233/jad-150066] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Cerebrospinal fluid (CSF) biomarkers can distinguish Alzheimer's disease (AD) patients from normal controls; however, their interpretation and potential for use in patients with mild cognitive impairment (MCI) remains unclear. OBJECTIVE To examine whether biomarker levels allow for risk stratification among MCI patients who are at increased risk to develop AD, thus allowing for improved targeting of early interventions for those whose risk are higher. METHODS We analyzed data from the Alzheimer's Disease Neuroimaging Initiative on MCI patients (n = 195) to estimate their risk of developing AD for up to 6 years on the basis of baseline CSF biomarkers. We used time-dependent receiver operating characteristic analysis to identify the best combination of biomarkers to discriminate those who converted to AD from those who remained stable. We used these data to construct a multi-biomarker score and estimated the risk of progression to AD for each quintile of the multi-biomarker score. RESULTS We found that Aβ(1-42) and P-tau(181p) were the best combination among CSF biomarkers to predict the overall risk of developing AD among MCI patients (area under the curve = 0.77). The hazard ratio of developing AD among MCI patients with high-risk (3rd-5th quintiles) biomarker levels was about 4 times greater than MCI patients with low-risk (1st quintile) levels (95% confidence interval, 1.93-7.26). CONCLUSION Our study identifies MCI patients at increased risk of developing AD by applying a multi-biomarker score using CSF biomarker results. Our findings may be of value to MCI patients and their clinicians for planning purposes and early intervention as well as for future clinical trials.
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Affiliation(s)
- Tzeyu L. Michaud
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Robert L. Kane
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - J. Riley McCarten
- Geriatric Research, Education and Clinical Center, Minneapolis Veterans Affairs Medical Center, Minneapolis, MN, USA
- Departments of Neurology and Psychiatry, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Joseph E. Gaugler
- School of Nursing & Center on Aging, University of Minnesota, Minneapolis, MN, USA
| | - John A. Nyman
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Karen M. Kuntz
- Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA
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933
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Katsumata Y, Mathews M, Abner EL, Jicha GA, Caban-Holt A, Smith CD, Nelson PT, Kryscio RJ, Schmitt FA, Fardo DW. Assessing the discriminant ability, reliability, and comparability of multiple short forms of the Boston Naming Test in an Alzheimer's disease center cohort. Dement Geriatr Cogn Disord 2015; 39:215-27. [PMID: 25613081 PMCID: PMC4374652 DOI: 10.1159/000370108] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/21/2014] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The Boston Naming Test (BNT) is a commonly used neuropsychological test of confrontation naming that aids in determining the presence and severity of dysnomia. Many short versions of the original 60-item test have been developed and are routinely administered in clinical/research settings. Because of the common need to translate similar measures within and across studies, it is important to evaluate the operating characteristics and agreement of different BNT versions. METHODS We analyzed longitudinal data of research volunteers (n = 681) from the University of Kentucky Alzheimer's Disease Center longitudinal cohort. CONCLUSIONS With the notable exception of the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) 15-item BNT, short forms were internally consistent and highly correlated with the full version; these measures varied by diagnosis and generally improved from normal to mild cognitive impairment (MCI) to dementia. All short forms retained the ability to discriminate between normal subjects and those with dementia. The ability to discriminate between normal and MCI subjects was less strong for the short forms than the full BNT, but they exhibited similar patterns. These results have important implications for researchers designing longitudinal studies, who must consider that the statistical properties of even closely related test forms may be quite different.
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Affiliation(s)
- Yuriko Katsumata
- Department of Biostatistics, University of Kentucky, Lexington, Ky., USA
| | - Melissa Mathews
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Ky., USA
| | - Erin L. Abner
- Department of Epidemiology, University of Kentucky, Lexington, Ky., USA
,Sanders-Brown Center on Aging, University of Kentucky, Lexington, Ky., USA
| | - Gregory A. Jicha
- Department of Neurology, University of Kentucky, Lexington, Ky., USA
,Sanders-Brown Center on Aging, University of Kentucky, Lexington, Ky., USA
| | - Allison Caban-Holt
- Department of Behavioral Science, University of Kentucky, Lexington, Ky., USA
,Sanders-Brown Center on Aging, University of Kentucky, Lexington, Ky., USA
| | - Charles D. Smith
- Department of Neurology, University of Kentucky, Lexington, Ky., USA
,Sanders-Brown Center on Aging, University of Kentucky, Lexington, Ky., USA
| | - Peter T. Nelson
- Department of Pathology, University of Kentucky, Lexington, Ky., USA
,Sanders-Brown Center on Aging, University of Kentucky, Lexington, Ky., USA
| | - Richard J. Kryscio
- Department of Biostatistics, University of Kentucky, Lexington, Ky., USA
,Department of Statistics, University of Kentucky, Lexington, Ky., USA
,Sanders-Brown Center on Aging, University of Kentucky, Lexington, Ky., USA
| | - Frederick A. Schmitt
- Department of Neurology, University of Kentucky, Lexington, Ky., USA
,Department of Behavioral Science, University of Kentucky, Lexington, Ky., USA
,Sanders-Brown Center on Aging, University of Kentucky, Lexington, Ky., USA
| | - David W. Fardo
- Department of Biostatistics, University of Kentucky, Lexington, Ky., USA
,Sanders-Brown Center on Aging, University of Kentucky, Lexington, Ky., USA
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934
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Landry GJ, Liu-Ambrose T. Buying time: a rationale for examining the use of circadian rhythm and sleep interventions to delay progression of mild cognitive impairment to Alzheimer's disease. Front Aging Neurosci 2014; 6:325. [PMID: 25538616 PMCID: PMC4259166 DOI: 10.3389/fnagi.2014.00325] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2014] [Accepted: 11/06/2014] [Indexed: 01/21/2023] Open
Abstract
As of 2010, the worldwide economic impact of dementia was estimated at $604 billion USD; and without discovery of a cure or effective interventions to delay disease progression, dementia's annual global economic impact is expected to surpass $1 trillion USD as early as 2030. Alzheimer's disease (AD) is the leading cause of dementia accounting for over 75% of all cases. Toxic accumulation of amyloid beta (Aβ), either by overproduction or some clearance failure, is thought to be an underlying mechanism of the neuronal cell death characteristic of AD-though this amyloid hypothesis has been increasingly challenged in recent years. A compelling alternative hypothesis points to chronic neuroinflammation as a common root in late-life degenerative diseases including AD. Apolipoprotein-E (APOE) genotype is the strongest genetic risk factor for AD: APOE-ε4 is proinflammatory and individuals with this genotype accumulate more Aβ, are at high risk of developing AD, and almost half of all AD patients have at least one ε4 allele. Recent studies suggest a bidirectional relationship exists between sleep and AD pathology. Sleep may play an important role in Aβ clearance, and getting good quality sleep vs. poor quality sleep might reduce the AD risk associated with neuroinflammation and the ε4 allele. Taken together, these findings are particularly important given the sleep disruptions commonly associated with AD and the increased burden disrupted sleep poses for AD caregivers. The current review aims to: (1) identify individuals at high risk for dementia who may benefit most from sleep interventions; (2) explore the role poor sleep quality plays in exacerbating AD type dementia; (3) examine the science of sleep interventions to date; and (4) provide a road map in pursuit of comprehensive sleep interventions, specifically targeted to promote cognitive function and delay progression of dementia.
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Affiliation(s)
- Glenn J. Landry
- Aging, Mobility, and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British ColumbiaVancouver, BC, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British ColumbiaVancouver, BC, Canada
| | - Teresa Liu-Ambrose
- Aging, Mobility, and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British ColumbiaVancouver, BC, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British ColumbiaVancouver, BC, Canada
- Brain Research Centre, University of British ColumbiaVancouver, BC, Canada
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935
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Serra L, Musicco M, Cercignani M, Torso M, Spanò B, Mastropasqua C, Giulietti G, Marra C, Bruno G, Koch G, Caltagirone C, Bozzali M. Cognitive reserve and the risk for Alzheimer's disease: a longitudinal study. Neurobiol Aging 2014; 36:592-600. [PMID: 25433459 DOI: 10.1016/j.neurobiolaging.2014.10.010] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Revised: 10/03/2014] [Accepted: 10/10/2014] [Indexed: 12/11/2022]
Abstract
This study investigates how cognitive reserve (CR) interacts with neurodegeneration (quantified by medial temporal atrophy, MTA) and macroscopic white matter lesions (WMLs) in delaying the conversion from amnestic mild cognitive impairment to Alzheimer's disease (AD). Forty-two amnestic mild cognitive impairment patients were consecutively recruited. They underwent magnetic resonance imaging and a comprehensive questionnaire to classify them as individuals with low or high CR. Patients were then clinically followed-up for 2 years. The patients' risk for conversion to AD because of CR was estimated by controlling for cognitive efficiency, MTA, and WMLs at baseline. Global cognition was the best predictor of conversion to AD in low CR patients. Conversely, in high CR patients only, WMLs (but not MTA) highly contributed in increasing the risk for conversion to AD. In conclusion, CR interacts with both patients' cognitive features and WMLs in modulating the impact of AD pathology. This seems relevant for clinical prognosis and therapeutic strategies.
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Affiliation(s)
- Laura Serra
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Massimo Musicco
- Institute of Biomedical Technologies-National Research Council (ITB-CNR), Segrate, Milan, Italy
| | - Mara Cercignani
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy; Brighton & Sussex Medical School, CISC, University of Sussex, Brighton, UK
| | - Mario Torso
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Barbara Spanò
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | | | | | - Camillo Marra
- Institute of Neurology, Catholic University, Rome, Italy
| | - Giuseppe Bruno
- Department of Neurology and Psychiatry, La Sapienza University of Rome, Viale dell'Università, Rome, Italy
| | - Giacomo Koch
- Department of Neuroscience, University of Rome 'Tor Vergata', Rome, Italy; Department of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Carlo Caltagirone
- Department of Neuroscience, University of Rome 'Tor Vergata', Rome, Italy; Department of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Marco Bozzali
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy.
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936
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Knopman DS, Petersen RC. Mild cognitive impairment and mild dementia: a clinical perspective. Mayo Clin Proc 2014; 89:1452-9. [PMID: 25282431 PMCID: PMC4185370 DOI: 10.1016/j.mayocp.2014.06.019] [Citation(s) in RCA: 188] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2014] [Revised: 06/20/2014] [Accepted: 06/25/2014] [Indexed: 11/30/2022]
Abstract
Mild cognitive impairment and mild dementia are common problems in the elderly. Primary care physicians are the first point of contact for most patients with these disorders and should be familiar with their diagnosis, prognosis, and management. Both mild cognitive impairment and mild dementia are characterized by objective evidence of cognitive impairment. The main distinctions between mild cognitive impairment and mild dementia are that in the latter, more than one cognitive domain is invariably involved and substantial interference with daily life is evident. The diagnosis of mild cognitive impairment and mild dementia is based mainly on the history and cognitive examination. The prognosis for mild cognitive impairment and mild dementia is an important motivation for diagnosis because in both, there is a heightened risk for further cognitive decline. The etiology of mild cognitive impairment and mild dementia can often be established through the clinical examination, although imaging and other laboratory tests may also contribute. Although Alzheimer disease is the most common cause of both, cerebrovascular disease and Lewy body disease make important contributions. Pharmacological treatments are of modest value in mild dementia due to Alzheimer disease, and there are no approved pharmacological treatments for mild cognitive impairment of any etiology. Nonetheless, new-onset cognitive impairment is a worrisome symptom to patients and families that demands answers and advice. If a patient is having difficulties managing medications, finances, or transportation independently, diagnosis and intervention are necessary to ensure the health and safety of the patient.
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Affiliation(s)
- David S Knopman
- Department of Neurology, Division of Behavioral Neurology, Mayo Clinic, Rochester, MN.
| | - Ronald C Petersen
- Department of Neurology, Division of Behavioral Neurology, Mayo Clinic, Rochester, MN
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937
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Abstract
Mild cognitive impairment (MCI) is widely regarded as the intermediate stage of cognitive impairment between the changes seen in normal cognitive aging and those associated with dementia. Elderly patients with MCI constitute a high-risk population for developing dementia, in particular Alzheimer's disease (AD). Although the core clinical criteria for MCI have remained largely unchanged, the operational definition of MCI has undergone several revisions over the course of the last decade and remains an evolving diagnosis. Prognostic implications of this diagnosis are becoming clearer with regard to the risk of progressive cognitive deterioration. Although patients with MCI may represent an optimal target population for pharmacological and non-pharmacological interventions, results from clinical trials have been mixed and an effective treatment remains elusive. This article provides a brief overview of the evolution of the concept of MCI and reviews current diagnostic criteria, the longitudinal course of the disorder, and current and emerging treatments for MCI.
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Affiliation(s)
- Jennifer N Vega
- Center for Cognitive Medicine, Department of Psychiatry, Vanderbilt University School of Medicine, 1601 23rd Ave. S., Nashville, TN, 37212, USA
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938
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Martorana A, Di Lorenzo F, Manenti G, Semprini R, Koch G. Homotaurine induces measurable changes of short latency afferent inhibition in a group of mild cognitive impairment individuals. Front Aging Neurosci 2014; 6:254. [PMID: 25295005 PMCID: PMC4172065 DOI: 10.3389/fnagi.2014.00254] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2014] [Accepted: 09/06/2014] [Indexed: 12/31/2022] Open
Abstract
Current treatment options for patients with Alzheimer's disease (AD) are limited at providing symptomatic relief, with no effects on the underlying pathophysiology. Recently, advances in the understanding of the AD pathogenesis highlighted the role of ABeta (Aβ) oligomers particularly interfering with mechanisms of cortical plasticity such as long-term potentiation (LTP) and long-term depression (LTD). These findings led to the development of potential anti-amyloid therapies, and among them homotaurine, a glycosaminoglycan mimetic designed to interfere with the actions of Aβ early in the cascade of amyloidogenic events, and by its γ-aminobutyric acid type (GABA) A receptor affinity. Recently, we showed that AD patients have impaired LTP-like cortical plasticity, as measured by standard theta burst stimulation protocols applied over the primary motor cortex (M1). Furthermore, AD patients have a weakened short latency afferent inhibition (SLAI), a neurophysiological measure of central cholinergic transmission, which changes reflect the cholinergic dysfunction occurring in the pathology. Here, we aimed at investigating whether homotaurine administration could modulate in vivo measured mechanisms of synaptic plasticity, namely LTP and LTD, and also SLAI in a group of mild cognitive impaired patients. We observed that homotaurine administration did not induce relevant changes of both LTP and LTD recordings, while induced changes of SLAI in our group of patients. We suggest that homotaurine effects are dependent on changes of cortical GABA transmission suggesting a potential role for this compound in ameliorating the cholinergic transmission by modulating the inhibitory cortical activity.
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Affiliation(s)
- Alessandro Martorana
- System Medicine Department, Clinica Neurologica-Memory Clinic, Università di Roma “Tor Vergata”, Rome, Italy
| | - Francesco Di Lorenzo
- System Medicine Department, Clinica Neurologica-Memory Clinic, Università di Roma “Tor Vergata”, Rome, Italy
- Non-Invasive Brain Stimulation Unit, Department of Behavioral and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Guglielmo Manenti
- Department of Diagnostic Imaging and Interventional Radiology, Molecular Imaging and Radiotherapy, Fondazione Policlinico “Tor Vergata”, Rome, Italy
| | | | - Giacomo Koch
- Non-Invasive Brain Stimulation Unit, Department of Behavioral and Clinical Neurology, Santa Lucia Foundation IRCCS, Rome, Italy
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939
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Butterfield DA. The 2013 SFRBM discovery award: selected discoveries from the butterfield laboratory of oxidative stress and its sequela in brain in cognitive disorders exemplified by Alzheimer disease and chemotherapy induced cognitive impairment. Free Radic Biol Med 2014; 74:157-74. [PMID: 24996204 PMCID: PMC4146642 DOI: 10.1016/j.freeradbiomed.2014.06.006] [Citation(s) in RCA: 91] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2014] [Revised: 06/05/2014] [Accepted: 06/10/2014] [Indexed: 12/21/2022]
Abstract
This retrospective review on discoveries of the roles of oxidative stress in brain of subjects with Alzheimer disease (AD) and animal models thereof as well as brain from animal models of chemotherapy-induced cognitive impairment (CICI) results from the author receiving the 2013 Discovery Award from the Society for Free Radical Biology and Medicine. The paper reviews our laboratory's discovery of protein oxidation and lipid peroxidation in AD brain regions rich in amyloid β-peptide (Aβ) but not in Aβ-poor cerebellum; redox proteomics as a means to identify oxidatively modified brain proteins in AD and its earlier forms that are consistent with the pathology, biochemistry, and clinical presentation of these disorders; how Aβ in in vivo, ex vivo, and in vitro studies can lead to oxidative modification of key proteins that also are oxidatively modified in AD brain; the role of the single methionine residue of Aβ(1-42) in these processes; and some of the potential mechanisms in the pathogenesis and progression of AD. CICI affects a significant fraction of the 14 million American cancer survivors, and due to diminished cognitive function, reduced quality of life of the persons with CICI (called "chemobrain" by patients) often results. A proposed mechanism for CICI employed the prototypical ROS-generating and non-blood brain barrier (BBB)-penetrating chemotherapeutic agent doxorubicin (Dox, also called adriamycin, ADR). Because of the quinone moiety within the structure of Dox, this agent undergoes redox cycling to produce superoxide free radical peripherally. This, in turn, leads to oxidative modification of the key plasma protein, apolipoprotein A1 (ApoA1). Oxidized ApoA1 leads to elevated peripheral TNFα, a proinflammatory cytokine that crosses the BBB to induce oxidative stress in brain parenchyma that affects negatively brain mitochondria. This subsequently leads to apoptotic cell death resulting in CICI. This review outlines aspects of CICI consistent with the clinical presentation, biochemistry, and pathology of this disorder. To the author's knowledge this is the only plausible and self-consistent mechanism to explain CICI. These two different disorders of the CNS affect millions of persons worldwide. Both AD and CICI share free radical-mediated oxidative stress in brain, but the source of oxidative stress is not the same. Continued research is necessary to better understand both AD and CICI. The discoveries about these disorders from the Butterfield Laboratory that led to the 2013 Discovery Award from the Society of Free Radical and Medicine provide a significant foundation from which this future research can be launched.
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Affiliation(s)
- D Allan Butterfield
- Department of Chemistry, Center of Membrane Sciences, Free Radical Biology in Cancer, Shared Resource Facility of the Markey Cancer Center, Spinal Cord and Brain Injury Research Center, and Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, USA.
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940
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Age-correction of test scores reduces the validity of mild cognitive impairment in predicting progression to dementia. PLoS One 2014; 9:e106284. [PMID: 25171483 PMCID: PMC4149540 DOI: 10.1371/journal.pone.0106284] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2014] [Accepted: 08/03/2014] [Indexed: 11/19/2022] Open
Abstract
Objectives A phase of mild cognitive impairment (MCI) precedes most forms of neurodegenerative dementia. Many definitions of MCI recommend the use of test norms to diagnose cognitive impairment. It is, however, unclear whether the use of norms actually improves the detection of individuals at risk of dementia. Therefore, the effects of age- and education-norms on the validity of test scores in predicting progression to dementia were investigated. Methods Baseline cognitive test scores (Syndrome Short Test) of dementia-free participants aged ≥65 were used to predict progression to dementia within three years. Participants were comprehensively examined one, two, and three years after baseline. Test scores were calculated with correction for (1) age and education, (2) education only, (3) age only and (4) without correction. Predictive validity was estimated with Cox proportional hazard regressions. Areas under the curve (AUCs) were calculated for the one-, two-, and three-year intervals. Results 82 (15.3%) of initially 537 participants, developed dementia. Model coefficients, hazard ratios, and AUCs of all scores were significant (p<0.001). Predictive validity was the lowest with age-corrected scores (−2 log likelihood = 840.90, model fit χ2 (1) = 144.27, HR = 1.33, AUCs between 0.73 and 0.87) and the highest with education-corrected scores (−2 log likelihood = 815.80, model fit χ2 (1) = 171.16, HR = 1.34, AUCs between 0.85 and 0.88). Conclusion The predictive validity of test scores is markedly reduced by age-correction. Therefore, definitions of MCI should not recommend the use of age-norms in order to improve the detection of individuals at risk of dementia.
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941
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Serino S, Cipresso P, Morganti F, Riva G. The role of egocentric and allocentric abilities in Alzheimer's disease: a systematic review. Ageing Res Rev 2014; 16:32-44. [PMID: 24943907 DOI: 10.1016/j.arr.2014.04.004] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2013] [Revised: 04/18/2014] [Accepted: 04/25/2014] [Indexed: 11/17/2022]
Abstract
A great effort has been made to identify crucial cognitive markers that can be used to characterize the cognitive profile of Alzheimer's disease (AD). Because topographical disorientation is one of the earliest clinical manifestation of AD, an increasing number of studies have investigated the spatial deficits in this clinical population. In this systematic review, we specifically focused on experimental studies investigating allocentric and egocentric deficits to understand which spatial cognitive processes are differentially impaired in the different stages of the disease. First, our results highlighted that spatial deficits appear in the earliest stages of the disease. Second, a need for a more ecological assessment of spatial functions will be presented. Third, our analysis suggested that a prevalence of allocentric impairment exists. Specifically, two selected studies underlined that a more specific impairment is found in the translation between the egocentric and allocentric representations. In this perspective, the implications for future research and neurorehabilitative interventions will be discussed.
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Affiliation(s)
- Silvia Serino
- IRCCS Istituto Auxologico Italiano, Via Pellizza da Volpedo, 41, 20149 Milan (MI), Italy.
| | - Pietro Cipresso
- IRCCS Istituto Auxologico Italiano, Via Pellizza da Volpedo, 41, 20149 Milan (MI), Italy
| | - Francesca Morganti
- Department of Human and Social Sciences, University of Bergamo, Piazzale S. Agostino 2, 24129 Bergamo (BG), Italy
| | - Giuseppe Riva
- IRCCS Istituto Auxologico Italiano, Via Pellizza da Volpedo, 41, 20149 Milan (MI), Italy; Università Cattolica del Sacro Cuore, Largo Gemelli, 1, 20100 Milan (MI), Italy
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942
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943
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Kivipelto M, Mangialasche F, Solomon A, Johansson G, Lannfelt L, Fratiglioni L, Winblad B. 9th Key symposium introduction: updating Alzheimer's disease diagnosis implications for prevention and treatment. J Intern Med 2014; 275:202-3. [PMID: 24605804 DOI: 10.1111/joim.12193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- M Kivipelto
- Karolinska Institutet Alzheimer Disease Research Center (KI-ADRC), Stockholm, Sweden; Department of Neurology, University of Eastern Finland, Kuopio, Finland; Aging Research Center, Karolinska Institutet and Stockholm University, Sweden
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