Detecting Anosognosia from the Prodromal Stage of Alzheimer’s Disease

Author:

Guieysse Thomas1,Lamothe Roxane1,Houot Marion12,Razafimahatratra Solofo1,Medani Takfarinas3,Lejeune François-Xavier4,Dreyfus Gérard5,Klarsfeld André6,Pantazis Dimitrios7,Koechlin Etienne8,Andrade Katia169

Affiliation:

1. Department of Neurology, Institute of Memory and Alzheimer’s Disease (IM2A), AP-HP, Pitié-Salpêtrière Hospital, Paris, France

2. Centre of Excellence of Neurodegenerative Disease (CoEN), AP-HP, Pitié-Salpêtrière Hospital, Paris, France

3. Signal & Image Processing Institute, University of Southern California, Los Angeles, CA, USA

4. Paris Brain Institute (Institut du Cerveau, ICM), Data Analysis Core, INSERM, CNRS, Assistance Publique-Hôpitaux de Paris (AP-HP), Sorbonne Université, Pitié-Salpêtrière University Hospital, Paris, France

5. ESPCI Paris – PSL, Paris, France

6. Laboratory of Brain Plasticity, CNRS UMR 8249, ESPCI Paris - PSL, Paris, France

7. McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA

8. Laboratoire de Neurosciences Cognitives et Computationnelles, École Normale Supérieure, Paris, France

9. FrontLab, Paris Brain Institute, ICM, Pitié Salpêtrière GH, Paris, France

Abstract

Background: Though not originally developed for this purpose, the Healthy Aging Brain Care Monitor (HABC-M) seems a valuable instrument for assessing anosognosia in Alzheimer’s disease (AD). Objectives: Our study aimed at 1) investigating the validity of the HABC-M (31 items), and its cognitive, psychological, and functional subscales, in discriminating AD patients from controls; 2) exploring whether the HABC-M discrepancy scores between the self-reports of patients/controls in these different domains and the respective ratings provided by their caregivers/informants correlate with an online measure of self-awareness; 3) determining whether the caregiver burden level, also derived from the HABC-M, could add additional support for detecting anosognosia. Methods: The HABC-M was administered to 30 AD patients and 30 healthy controls, and to their caregivers/informants. A measure of online awareness was established from subjects’ estimation of their performances in a computerized experiment. Results: The HABC-M discrepancy scores distinguished AD patients from controls. The cognitive subscale discriminated the two groups from the prodromal AD stage, with an AUC of 0.88 [95% CI: 0.78;0.97]. Adding the caregiver burden level raised it to 0.94 [0.86;0.99]. Significant correlations between the HABC-M and online discrepancy scores were observed in the patients group, providing convergent validity of these methods. Conclusions: The cognitive HABC-M (six items) can detect anosognosia across the AD spectrum. The caregiver burden (four items) may corroborate the suspicion of anosognosia. The short-hybrid scale, built from these 10 items instead of the usual 31, showed the highest sensitivity for detecting anosognosia from the prodromal AD stage, which may further help with timely diagnosis.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

Reference34 articles.

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3. Contribution a l’etude des troubles mentaux dans l’ hemiplegie organique cerebrale (anosognosie);Babinski;Rev Neurol,1914

4. Low cognitive awareness, but not complaint, is agood marker of preclinical Alzheimer’s disease;Cacciamani;J Alzheimers Dis,2017

5. Memory awareness influences everyday decision making capacity about medication management in Alzheimer’s disease;Cosentino;Int J Alzheimers Dis,2011

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