Validation study of "Santé-Cerveau", a ...
Type de document :
Article dans une revue scientifique: Article original
PMID :
URL permanente :
Titre :
Validation study of "Santé-Cerveau", a digital tool for early cognitive changes identification.
Auteur(s) :
Lesoil, C. [Auteur]
Bombois, Stephanie [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Guinebretiere, O. [Auteur]
Houot, M. [Auteur]
Bahrami, M. [Auteur]
Levy, M. [Auteur]
Genthon, R. [Auteur]
Bozon, F. [Auteur]
Jean-Marie, H. [Auteur]
Epelbaum, S. [Auteur]
Foulon, P. [Auteur]
Villain, N. [Auteur]
Dubois, Bruno [Auteur]
Equipe Fonctions et dysfonctions de systèmes frontaux [ICM Paris] [FRONTlab]
Bombois, Stephanie [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Guinebretiere, O. [Auteur]
Houot, M. [Auteur]
Bahrami, M. [Auteur]
Levy, M. [Auteur]
Genthon, R. [Auteur]
Bozon, F. [Auteur]
Jean-Marie, H. [Auteur]
Epelbaum, S. [Auteur]
Foulon, P. [Auteur]
Villain, N. [Auteur]
Dubois, Bruno [Auteur]
Equipe Fonctions et dysfonctions de systèmes frontaux [ICM Paris] [FRONTlab]
Titre de la revue :
Alzheimer's Research and Therapy
Nom court de la revue :
Alzheimers Res Ther
Numéro :
15
Pagination :
70
Éditeur :
BMC
Date de publication :
2023-04-05
ISSN :
1758-9193
Mot(s)-clé(s) en anglais :
Alzheimer's disease
Early diagnosis
Digital tool
Cognitive complaint
Mild dementia
Memory
COVID-19
Care plan
Early diagnosis
Digital tool
Cognitive complaint
Mild dementia
Memory
COVID-19
Care plan
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
Background
There is a need for a reliable, easy-to-use, widely available, and validated tool for timely cognitive impairment identification. We created a computerized cognitive screening tool (Santé-Cerveau digital tool ...
Lire la suite >Background There is a need for a reliable, easy-to-use, widely available, and validated tool for timely cognitive impairment identification. We created a computerized cognitive screening tool (Santé-Cerveau digital tool (SCD-T)) including validated questionnaires and the following neuropsychological tests: 5 Word Test (5-WT) for episodic memory, Trail Making Test (TMT) for executive functions, and a number coding test (NCT) adapted from the Digit Symbol Substitution Test for global intellectual efficiency. This study aimed to evaluate the performance of SCD-T to identify cognitive deficit and to determine its usability. Methods Three groups were constituted including 65 elderly Controls, 64 patients with neurodegenerative diseases (NDG): 50 AD and 14 non-AD, and 20 post-COVID-19 patients. The minimum MMSE score for inclusion was 20. Association between computerized SCD-T cognitive tests and their standard equivalent was assessed using Pearson's correlation coefficients. Two algorithms (a simple clinician-guided algorithm involving the 5-WT and the NCT; and a machine learning classifier based on 8 scores from the SCD-T tests extracted from a multiple logistic regression model, and data from the SCD-T questionnaires) were evaluated. The acceptability of SCD-T was investigated through a questionnaire and scale. Results AD and non-AD participants were older (mean ± standard deviation (SD): 72.61 ± 6.79 vs 69.91 ± 4.86 years old, p = 0.011) and had a lower MMSE score (Mean difference estimate ± standard error: 1.74 ± 0.14, p < 0.001) than Controls; post-COVID-19 patients were younger than Controls (mean ± SD: 45.07 ± 11.36 years old, p < 0.001). All the computerized SCD-T cognitive tests were significantly associated with their reference version. In the pooled Controls and NDG group, the correlation coefficient was 0.84 for verbal memory, -0.60 for executive functions, and 0.72 for global intellectual efficiency. The clinician-guided algorithm demonstrated 94.4% ± 3.8% sensitivity and 80.5% ± 8.7% specificity, and the machine learning classifier 96.8% ± 3.9% sensitivity and 90.7% ± 5.8% specificity. The acceptability of SCD-T was good to excellent. Conclusions We demonstrate the high accuracy of SCD-T in screening cognitive disorders and its good acceptance even in individuals with prodromal and mild dementia stages. SCD-T would be useful in primary care to faster refer subjects with significant cognitive impairment (and limit unnecessary referrals) to specialized consultation, improve the AD care pathway and the pre-screening in clinical trials.Lire moins >
Lire la suite >Background There is a need for a reliable, easy-to-use, widely available, and validated tool for timely cognitive impairment identification. We created a computerized cognitive screening tool (Santé-Cerveau digital tool (SCD-T)) including validated questionnaires and the following neuropsychological tests: 5 Word Test (5-WT) for episodic memory, Trail Making Test (TMT) for executive functions, and a number coding test (NCT) adapted from the Digit Symbol Substitution Test for global intellectual efficiency. This study aimed to evaluate the performance of SCD-T to identify cognitive deficit and to determine its usability. Methods Three groups were constituted including 65 elderly Controls, 64 patients with neurodegenerative diseases (NDG): 50 AD and 14 non-AD, and 20 post-COVID-19 patients. The minimum MMSE score for inclusion was 20. Association between computerized SCD-T cognitive tests and their standard equivalent was assessed using Pearson's correlation coefficients. Two algorithms (a simple clinician-guided algorithm involving the 5-WT and the NCT; and a machine learning classifier based on 8 scores from the SCD-T tests extracted from a multiple logistic regression model, and data from the SCD-T questionnaires) were evaluated. The acceptability of SCD-T was investigated through a questionnaire and scale. Results AD and non-AD participants were older (mean ± standard deviation (SD): 72.61 ± 6.79 vs 69.91 ± 4.86 years old, p = 0.011) and had a lower MMSE score (Mean difference estimate ± standard error: 1.74 ± 0.14, p < 0.001) than Controls; post-COVID-19 patients were younger than Controls (mean ± SD: 45.07 ± 11.36 years old, p < 0.001). All the computerized SCD-T cognitive tests were significantly associated with their reference version. In the pooled Controls and NDG group, the correlation coefficient was 0.84 for verbal memory, -0.60 for executive functions, and 0.72 for global intellectual efficiency. The clinician-guided algorithm demonstrated 94.4% ± 3.8% sensitivity and 80.5% ± 8.7% specificity, and the machine learning classifier 96.8% ± 3.9% sensitivity and 90.7% ± 5.8% specificity. The acceptability of SCD-T was good to excellent. Conclusions We demonstrate the high accuracy of SCD-T in screening cognitive disorders and its good acceptance even in individuals with prodromal and mild dementia stages. SCD-T would be useful in primary care to faster refer subjects with significant cognitive impairment (and limit unnecessary referrals) to specialized consultation, improve the AD care pathway and the pre-screening in clinical trials.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
Inserm
CHU Lille
Inserm
CHU Lille
Collections :
Date de dépôt :
2024-06-22T21:51:59Z
2024-09-18T06:54:39Z
2024-09-18T06:54:39Z
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