Literature DB >> 29734264

The Accuracy of INECO Frontal Screening in the Diagnosis of Executive Dysfunction in Frontotemporal Dementia and Alzheimer Disease.

Valéria S Bahia1, Mário A Cecchini1, Luciana Cassimiro1, Rene Viana1, Thais B Lima-Silva1, Leonardo Cruz de Souza2, Viviane Amaral Carvalho2, Henrique C Guimarães2, Paulo Caramelli2, Márcio L F Balthazar3, Benito Damasceno3, Sônia M D Brucki1, Ricardo Nitrini1, Mônica S Yassuda1,4.   

Abstract

INTRODUCTION: Executive dysfunction is a common symptom in neurodegenerative disorders and is in need of easy-to-apply screening tools that might identify it. The aims of the present study were to examine some of the psychometric characteristics of the Brazilian version of the INECO frontal screening (IFS), and to investigate its accuracy to diagnose executive dysfunction in dementia and its accuracy to differentiate Alzheimer disease (AD) from the behavioral variant of frontotemporal dementia (bvFTD).
METHODS: Patients diagnosed with bvFTD (n=18) and AD (n=20), and 15 healthy controls completed a neuropsychological battery, the Neuropsychiatric Inventory, the Cornell Scale for Depression in Dementia, the Clinical Dementia Rating, and the IFS.
RESULTS: The IFS had acceptable internal consistency (α=0.714) and was significantly correlated with general cognitive measures and with neuropsychological tests. The IFS had adequate accuracy to differentiate patients with dementia from healthy controls (AUC=0.768, cutoff=19.75, sensitivity=0.80, specificity=0.63), but low accuracy to differentiate bvFTD from AD (AUC=0.594, cutoff=16.75, sensitivity=0.667, specificity=0.600).
CONCLUSION: The present study suggested that the IFS may be used to screen for executive dysfunction in dementia. Nonetheless, it should be used with caution in the differential diagnosis between AD and bvFTD.

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Year:  2018        PMID: 29734264     DOI: 10.1097/WAD.0000000000000255

Source DB:  PubMed          Journal:  Alzheimer Dis Assoc Disord        ISSN: 0893-0341            Impact factor:   2.703


  3 in total

1.  Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach.

Authors:  M Belen Bachli; Lucas Sedeño; Jeremi K Ochab; Olivier Piguet; Fiona Kumfor; Pablo Reyes; Teresa Torralva; María Roca; Juan Felipe Cardona; Cecilia Gonzalez Campo; Eduar Herrera; Andrea Slachevsky; Diana Matallana; Facundo Manes; Adolfo M García; Agustín Ibáñez; Dante R Chialvo
Journal:  Neuroimage       Date:  2019-12-10       Impact factor: 6.556

Review 2.  Multidimensional Clinical Assessment in Frontotemporal Dementia and Its Spectrum in Latin America and the Caribbean: A Narrative Review and a Glance at Future Challenges.

Authors:  Fernando Henríquez; Victoria Cabello; Sandra Baez; Leonardo Cruz de Souza; Patricia Lillo; David Martínez-Pernía; Loreto Olavarría; Teresa Torralva; Andrea Slachevsky
Journal:  Front Neurol       Date:  2022-02-16       Impact factor: 4.003

3.  Unveiling Trail Making Test: visual and manual trajectories indexing multiple executive processes.

Authors:  Ignacio Linari; Gustavo E Juantorena; Agustín Ibáñez; Agustín Petroni; Juan E Kamienkowski
Journal:  Sci Rep       Date:  2022-08-22       Impact factor: 4.996

  3 in total

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