scholarly journals The Italian Version of the Five-Word Test: A Simple Diagnostic Test for Dementia due to Alzheimer’s Disease in Routine Clinical Practice

2017 ◽  
Vol 2017 ◽  
pp. 1-6
Author(s):  
Luca Rozzini ◽  
Anna Ceraso ◽  
Marina Zanetti ◽  
Silvia Pelizzari ◽  
Evita Tomasoni ◽  
...  

Background. The five-word test (FWT) is a neuropsychological tool (derived from the Grober and Buschke paradigm), measuring hippocampal memory trace consolidation. The study aimed to validate the test for the Italian language and to verify its ability to discriminate patients affected by mild cognitive impairment and dementia due to Alzheimer’s disease from healthy matches. Methods. 217 subjects (127 controls, 47 MCI due to AD, and 43 AD) underwent neuropsychological evaluation. The Spearman rank coefficient (ρ) was used to assess the correlation between immediate (IRS), delayed (DRS), and total score (TRS) of the FWT and correspondent matches of a specific short story test, while receiving operator characteristic (ROC) curves were built to investigate the diagnostic accuracy of both. Results. Correlation between almost all the scores was significant in all the diagnostic subgroups; the ROC curves of the two tests were not statistically different. A TRS of the FWT with a cut-off of ≤9/10 could accurately discriminate AD patients (sensitivity: 97%, specificity: 94%) and MCI due to AD (sensitivity: 76%, specificity: 68%) from control matches. Conclusion. FWT is a simple and valid test of hippocampal memory which appears recommendable in routine clinical practice.

2009 ◽  
Vol 5 (4S_Part_12) ◽  
pp. P353-P353 ◽  
Author(s):  
Audrey Gabelle ◽  
Stéphane Roche ◽  
Christian Geny ◽  
Jacques Touchon ◽  
Sylvain Lehmann

2014 ◽  
Vol 41 (2) ◽  
pp. 411-419 ◽  
Author(s):  
Hanna Eriksson ◽  
Seyed-Mohammad Fereshtehnejad ◽  
Farshad Falahati ◽  
Bahman Farahmand ◽  
Dorota Religa ◽  
...  

2021 ◽  
pp. 1-17
Author(s):  
Mandy Melissa Jane Wittens ◽  
Diana Maria Sima ◽  
Ruben Houbrechts ◽  
Annemie Ribbens ◽  
Ellis Niemantsverdriet ◽  
...  

Background: Magnetic resonance imaging (MRI) has become important in the diagnostic work-up of neurodegenerative diseases. icobrain dm, a CE-labeled and FDA-cleared automated brain volumetry software, has shown potential in differentiating cognitively healthy controls (HC) from Alzheimer’s disease (AD) dementia (ADD) patients in selected research cohorts. Objective: This study examines the diagnostic value of icobrain dm for AD in routine clinical practice, including a comparison to the widely used FreeSurfer software, and investigates if combined brain volumes contribute to establish an AD diagnosis. Methods: The study population included HC (n = 90), subjective cognitive decline (SCD, n = 93), mild cognitive impairment (MCI, n = 357), and ADD (n = 280) patients. Through automated volumetric analyses of global, cortical, and subcortical brain structures on clinical brain MRI T1w (n = 820) images from a retrospective, multi-center study (REMEMBER), icobrain dm’s (v.4.4.0) ability to differentiate disease stages via ROC analysis was compared to FreeSurfer (v.6.0). Stepwise backward regression models were constructed to investigate if combined brain volumes can differentiate between AD stages. Results: icobrain dm outperformed FreeSurfer in processing time (15–30 min versus 9–32 h), robustness (0 versus 67 failures), and diagnostic performance for whole brain, hippocampal volumes, and lateral ventricles between HC and ADD patients. Stepwise backward regression showed improved diagnostic accuracy for pairwise group differentiations, with highest performance obtained for distinguishing HC from ADD (AUC = 0.914; Specificity 83.0%; Sensitivity 86.3%). Conclusion: Automated volumetry has a diagnostic value for ADD diagnosis in routine clinical practice. Our findings indicate that combined brain volumes improve diagnostic accuracy, using real-world imaging data from a clinical setting.


2007 ◽  
Vol 17 (3) ◽  
pp. 203-212 ◽  
Author(s):  
Ilse A. D. A. van Halteren-van Tilborg ◽  
Erik J. A. Scherder ◽  
Wouter Hulstijn

2016 ◽  
Vol 28 (8) ◽  
pp. 1399-1400 ◽  
Author(s):  
Martin Nikolaus Dichter ◽  
Eva-Maria Wolschon ◽  
Gabriele Meyer ◽  
Sascha Köpke

Dementia is a chronic and currently incurable syndrome. Therefore, quality of life (QoL) is a major goal when caring for people with dementia (Gibson et al., 2010) and a major outcome in dementia research (Moniz-Cook et al., 2008). The measurement of QoL, especially proxy-rating, is challenging because of the proxy-perspective (Pickard and Knight, 2005), reliability (Dichter et al., 2016), validity (O'Rourke et al., 2015), and responsiveness (Perales et al., 2013). Probably due to these challenges, it has not been possible to show positive effects for QoL in almost all non-pharmacological interventions for people with dementia (Cooper et al., 2012). One recommended (Moniz-Cook et al., 2008) and frequently used instrument is the Quality of Life in Alzheimer's Disease scale (QoL-AD), which was originally developed in the US for community-dwelling people with dementia. The QoL-AD consists of 13 items based on a 4-point Likert scale ranging from “1”=poor to “4”=excellent (Logsdon et al., 1999). The original instrument has been adapted for people living in nursing homes (NH) by Edelmann et al. (2005).


1992 ◽  
Vol 13 ◽  
pp. S3-S4 ◽  
Author(s):  
A. Venneri ◽  
M.A. Molinari ◽  
R. Pentore ◽  
B. Cotticelli ◽  
P. Nichelli ◽  
...  

Author(s):  
Manuel Menéndez González ◽  
Aníbal Fernández Oliveira ◽  
Francisco Conejo Bayón ◽  
Jesús Maese ◽  
Tamara Mesas Uzal ◽  
...  

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