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Argentina-Alzheimer's disease neuroimaging initiative (Arg-ADNI): neuropsychological evolution profile after one-year follow up

Overview of attention for article published in Arquivos de Neuro-Psiquiatria, April 2018
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Title
Argentina-Alzheimer's disease neuroimaging initiative (Arg-ADNI): neuropsychological evolution profile after one-year follow up
Published in
Arquivos de Neuro-Psiquiatria, April 2018
DOI 10.1590/0004-282x20180025
Pubmed ID
Authors

Patricio Chrem Méndez, Ismael Calandri, Federico Nahas, María Julieta Russo, Ignacio Demey, María Eugenia Martín, María Florencia Clarens, Paula Harris, Fernanda Tapajoz, Jorge Campos, Ezequiel I. Surace, Horacio Martinetto, Fernando Ventrice, Gabriela Cohen, Silvia Vázquez, Carlos Romero, Salvador Guinjoan, Ricardo F. Allegri, Gustavo Sevlever

Abstract

The Argentina-Alzheimer's disease neuroimaging initiative (Arg-ADNI) study is a longitudinal prospective cohort of 50 participants at a single institution in Buenos Aires, Argentina. Longitudinal assessments on a neuropsychological test battery were performed on 15 controls, 24 mild cognitive impairment (MCI) patients and 12 Alzheimer's disease (AD) dementia patients. In our study population, there was a high prevalence of positive AD biomarkers in the AD group, 92.3% (12/13); and a low prevalence in the normal controls, 20%; almost half (48%) of the patients diagnosed with MCI had positive amyloid detection. After a one year, the significant differences found at baseline on neuropsychological testing were similar at the follow-up assessment even though the AD group had significantly altered its functional performance (FAQ and CDR). The exception was semantic fluency, which showed greater impairment between the AD group and MCI and normal controls respectively. For these tests, the addition of AD biomarkers as a variable did not significantly alter the variations previously found for the established clinical group's model. Finally, the one-year conversion rate to dementia was 20% in the MCI cohort.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 7 12%
Student > Master 6 11%
Student > Bachelor 5 9%
Professor 3 5%
Other 6 11%
Unknown 17 30%
Readers by discipline Count As %
Psychology 9 16%
Medicine and Dentistry 8 14%
Biochemistry, Genetics and Molecular Biology 5 9%
Neuroscience 4 7%
Linguistics 2 4%
Other 7 12%
Unknown 22 39%