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Distinguishing mild cognitive impairment from healthy aging and Alzheimer's Disease: The contribution of the INECO Frontal Screening (IFS).
Moreira, Helena S; Costa, Ana Sofia; Machado, Álvaro; Castro, São Luís; Lima, César F; Vicente, Selene G.
Afiliação
  • Moreira HS; Centre for Psychology at University of Porto, Porto, Portugal.
  • Costa AS; Neurocognition Unit, Department of Neurology, Hospital de Braga, Braga, Portugal.
  • Machado Á; Department of Neurology, RWTH Aachen University, Aachen, Germany.
  • Castro SL; JARA Institute Molecular Neuroscience and Neuroimaging, Aachen, Germany.
  • Lima CF; Neurocognition Unit, Department of Neurology, Hospital de Braga, Braga, Portugal.
  • Vicente SG; Centre for Psychology at University of Porto, Porto, Portugal.
PLoS One ; 14(9): e0221873, 2019.
Article em En | MEDLINE | ID: mdl-31504056
ABSTRACT
Executive functions are affected differently in healthy aging, Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), and evaluating them is important for differential diagnosis. The INECO Frontal Screening (IFS) is a brief neuropsychological screening tool, developed to assess executive dysfunction in neurodegenerative disorders. GOALS We aimed to examine whether and how MCI patients can be differentiated from cognitively healthy controls (HC) and mild to moderate AD patients based on IFS performance. We also explored how IFS scores are associated with age, years of education, and depressive/anxious symptoms (as assessed by the Hospital Anxiety and Depression Scale).

METHOD:

IFS total scores were compared between 26 HC, 32 MCI and 21 mild to moderate AD patients. The three groups were matched for age and education. The Area Under the Curve (AUC) was analyzed and optimal cut-offs were determined.

RESULTS:

Healthy participants had higher IFS scores than both clinical groups, and MCI patients had higher scores than AD patients. IFS showed high diagnostic accuracy for the detection of MCI (AUC = .89, p < .001) and AD (AUC = .99, p < .001), and for the differentiation between the clinical groups (AUC = .76, p < .001). We provide optimal cut-offs for the identification of MCI and AD and for their differentiation. We also found that, in general, higher education predicted higher IFS scores (no associations with age and depressive/anxious symptoms were observed). Altogether, these findings indicate that evaluating executive functions with the IFS can be valuable for the identification of MCI, a high-risk group for dementia, and for differentiating this condition from healthy aging and AD.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva / Testes Neuropsicológicos Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva / Testes Neuropsicológicos Idioma: En Ano de publicação: 2019 Tipo de documento: Article