Literature DB >> 29022655

Anosognosia Is an Independent Predictor of Conversion From Mild Cognitive Impairment to Alzheimer's Disease and Is Associated With Reduced Brain Metabolism.

Philip Gerretsen1,2,3,4,5,6, Jun Ku Chung2,4, Parita Shah2, Eric Plitman2,4, Yusuke Iwata2,5, Fernando Caravaggio2,3, Shinichiro Nakajima2,5, Bruce G Pollock3,4,5,6, Ariel Graff-Guerrero2,3,4,5,6.   

Abstract

OBJECTIVE: Anosognosia, or impaired illness awareness, is a common feature of Alzheimer's disease (AD) and less so of mild cognitive impairment (MCI). Importantly, anosognosia negatively influences clinical outcomes for patients and their caregivers and may predict the conversion from MCI to AD. This study aimed to examine (1) the relationship between brain glucose metabolism as measured by fluorine-18 fluorodeoxyglucose positron emission tomography (FDG-PET) and anosognosia in patients with MCI and AD and (2) the predictive utility of anosognosia in patients with MCI for later conversion to AD, even when controlling for other factors, including gender, education, apolipoprotein E ε4 carrier status, dementia severity, and cognitive dysfunction.
METHODS: Data for 1,062 participants from the Alzheimer's Disease Neuroimaging Initiative database (2003 to August 2015) classified as having AD (n = 191) or MCI (n = 499) or as healthy comparison (HC) subjects (n = 372) were analyzed. HC participants had Mini-Mental State Examination (MMSE) scores from 24 to 30 and a Clinical Dementia Rating (CDR) of 0. MCI participants had MMSE scores from 24 to 30, a memory complaint, objective memory loss, a CDR of 0.5, absence of significant levels of impairment in other cognitive domains, and essentially preserved activities of daily living. AD participants had MMSE scores ≤ 26 and a CDR of ≥ 0.5, and met National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer's Disease and Related Disorders Association criteria for probable AD. Anosognosia was measured with the composite discrepancy score of the study partner and participants' scores on the Everyday Cognition scale (ECog). Bivariate correlations and multiple regression analyses were performed to assess the relationship between anosognosia and FDG-PET findings in each group. Lastly, logistic regression and receiver operating characteristic curve analyses were performed in the MCI sample to determine if anosognosia was predictive of conversion from MCI to AD.
RESULTS: Hypometabolism was independently associated with anosognosia in AD, particularly in the posterior cingulate cortex and right angular gyrus. Anosognosia was associated with conversion from MCI to AD within 5 years (OR = 2.74 [95% CI, 1.95 to 3.85], χ²₁ = 33.65, P < .001), even after including covariates (OR = 1.64 [95% CI, 1.12 to 2.40], χ²₁ = 6.43, P = .011). ECog-composite scores ≤ -0.75 were 93% sensitive and 15% specific for conversion from MCI to AD.
CONCLUSIONS: Anosognosia in AD is related to brain glucose hypometabolism. Further, anosognosia independently predicts conversion from MCI to AD. The absence of anosognosia may be clinically useful to identify those patients that are unlikely to convert from MCI to AD. © Copyright 2017 Physicians Postgraduate Press, Inc.

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Mesh:

Year:  2017        PMID: 29022655     DOI: 10.4088/JCP.16m11367

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  13 in total

1.  Increasing Inaccuracy of Self-Reported Subjective Cognitive Complaints Over 24 Months in Empirically Derived Subtypes of Mild Cognitive Impairment.

Authors:  Emily C Edmonds; Alexandra J Weigand; Kelsey R Thomas; Joel Eppig; Lisa Delano-Wood; Douglas R Galasko; David P Salmon; Mark W Bondi
Journal:  J Int Neuropsychol Soc       Date:  2018-09       Impact factor: 2.892

2.  Neuropsychiatric Symptoms and Risk Factors in Mild Cognitive Impairment: A Cohort Investigation of Elderly Patients.

Authors:  A-N Yang; X-L Wang; H-R Rui; H Luo; M Pang; X-M Dou
Journal:  J Nutr Health Aging       Date:  2020       Impact factor: 4.075

3.  Evolution of anosognosia in alzheimer's disease and its relationship to amyloid.

Authors:  Bernard J Hanseeuw; Matthew R Scott; Sietske A M Sikkes; Michael Properzi; Jennifer R Gatchel; Eric Salmon; Gad A Marshall; Patrizia Vannini
Journal:  Ann Neurol       Date:  2019-12-05       Impact factor: 10.422

4.  Predicting Clinical Dementia Rating Using Blood RNA Levels.

Authors:  Justin B Miller; John S K Kauwe
Journal:  Genes (Basel)       Date:  2020-06-26       Impact factor: 4.096

Review 5.  Functional Neural Correlates of Anosognosia in Mild Cognitive Impairment and Alzheimer's Disease: a Systematic Review.

Authors:  Jaime D Mondragón; Natasha M Maurits; Peter P De Deyn
Journal:  Neuropsychol Rev       Date:  2019-06-03       Impact factor: 7.444

6.  Anosognosia and default mode subnetwork dysfunction in Alzheimer's disease.

Authors:  Nicolas Antoine; Mohamed A Bahri; Christine Bastin; Fabienne Collette; Christophe Phillips; Evelyne Balteau; Sarah Genon; Eric Salmon
Journal:  Hum Brain Mapp       Date:  2019-08-24       Impact factor: 5.038

7.  Trajectory of Unawareness of Memory Decline in Individuals With Autosomal Dominant Alzheimer Disease.

Authors:  Patrizia Vannini; Bernard J Hanseeuw; Jennifer R Gatchel; Sietske A M Sikkes; Diana Alzate; Yesica Zuluaga; Sonia Moreno; Luis Mendez; Ana Baena; Paula Ospina-Lopera; Victoria Tirado; Eliana Henao; Natalia Acosta-Baena; Margarita Giraldo; Francisco Lopera; Yakeel T Quiroz
Journal:  JAMA Netw Open       Date:  2020-12-01

8.  Anosognosia in Mild Cognitive Impairment: Lack of Awareness of Memory Difficulties Characterizes Prodromal Alzheimer's Disease.

Authors:  Christine Bastin; Fabrice Giacomelli; Frédéric Miévis; Christian Lemaire; Bénédicte Guillaume; Eric Salmon
Journal:  Front Psychiatry       Date:  2021-03-31       Impact factor: 4.157

9.  Insular Connectivity Is Associated With Self-Appraisal of Cognitive Function After a Concussion.

Authors:  Nathan W Churchill; Michael G Hutchison; Simon J Graham; Tom A Schweizer
Journal:  Front Neurol       Date:  2021-05-21       Impact factor: 4.003

10.  What are the neural correlates of meta-cognition and anosognosia in Alzheimer's disease? A systematic review.

Authors:  Brendan Hallam; Justin Chan; Sergi Gonzalez Costafreda; Rohan Bhome; Jonathan Huntley
Journal:  Neurobiol Aging       Date:  2020-06-18       Impact factor: 4.673

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