Application of the PredictAD software tool to predict progression in patients with mild cognitive impairment.
Dement Geriatr Cogn Disord
; 34(5-6): 344-50, 2012.
Article
en En
| MEDLINE
| ID: mdl-23222123
ABSTRACT
BACKGROUND:
The PredictAD tool integrates heterogeneous data such as imaging, cerebrospinal fluid biomarkers and results from neuropsychological tests for compact visualization in an interactive user interface. This study investigated whether the software tool could assist physicians in the early diagnosis of Alzheimer's disease.METHODS:
Baseline data from 140 patients with mild cognitive impairment were selected from the Alzheimer's Disease Neuroimaging Study. Three clinical raters classified patients into 6 categories of confidence in the prediction of early Alzheimer's disease, in 4 phases of incremental data presentation using the software tool. A 5th phase was done with all available patient data presented on paper charts. Classifications by the clinical raters were compared to the clinical diagnoses made by the Alzheimer's Disease Neuroimaging Initiative investigators.RESULTS:
A statistical significant trend (p < 0.05) towards better classification accuracy (from 62.6 to 70.0%) was found when using the PredictAD tool during the stepwise procedure. When the same data were presented on paper, classification accuracy of the raters dropped significantly from 70.0 to 63.2%.CONCLUSION:
Best classification accuracy was achieved by the clinical raters when using the tool for decision support, suggesting that the tool can add value in diagnostic classification when large amounts of heterogeneous data are presented.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Programas Informáticos
/
Enfermedad de Alzheimer
/
Disfunción Cognitiva
/
Pruebas Neuropsicológicas
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
/
Screening_studies
Límite:
Aged
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
Dement Geriatr Cogn Disord
Asunto de la revista:
GERIATRIA
/
NEUROLOGIA
/
PSIQUIATRIA
Año:
2012
Tipo del documento:
Article
País de afiliación:
Dinamarca