Author:
Conca Francesca,Esposito Valentina,Catricalà Eleonora,Manenti Rosa,L’Abbate Federica,Quaranta Davide,Giuffrè Guido Maria,Rossetto Federica,Solca Federica,Orso Beatrice,Inguscio Emanuela,Crepaldi Valeria,De Matteis Maddalena,Rotondo Emanuela,Manera Marina,Caruso Giulia,Catania Valentina,Canu Elisa,Rundo Francesco,Cotta Ramusino Matteo,Filippi Massimo,Fundarò Cira,Piras Federica,Arighi Andrea,Tiraboschi Pietro,Stanzani Maserati Michelangelo,Pardini Matteo,Poletti Barbara,Silani Vincenzo,Marra Camillo,Di Tella Sonia,Cotelli Maria,Lodi Raffaele,Tagliavini Fabrizio,Cappa Stefano Francesco
Abstract
Abstract
Background
The identification and staging of Alzheimer’s Disease (AD) represent a challenge, especially in the prodromal stage of Mild Cognitive Impairment (MCI), when cognitive changes can be subtle. Worldwide efforts were dedicated to select and harmonize available neuropsychological instruments. In Italy, the Italian Network of Neuroscience and Neuro-Rehabilitation has promoted the adaptation of the Uniform Data Set Neuropsychological Test Battery (I-UDSNB), collecting normative data from 433 healthy controls (HC).
Here, we aimed to explore the ability of I-UDSNB to differentiate between a) MCI and HC, b) AD and HC, c) MCI and AD.
Methods
One hundred thirty-seven patients (65 MCI, 72 AD) diagnosed after clinical-neuropsychological assessment, and 137 HC were included. We compared the I-UDSNB scores between a) MCI and HC, b) AD and HC, c) MCI and AD, with t-tests. To identify the test(s) most capable of differentiating between groups, significant scores were entered in binary logistic and in stepwise regressions, and then in Receiver Operating Characteristic curve analyses.
Results
Two episodic memory tests (Craft Story and Five Words test) differentiated MCI from HC subjects; Five Words test, Semantic Fluency (vegetables), and TMT-part B differentiated AD from, respectively, HC and MCI.
Conclusions
Our findings indicate that the I-UDSNB is a suitable tool for the harmonized and concise assessment of patients with cognitive decline, showing high sensitivity and specificity for the diagnosis of MCI and AD.
Publisher
Springer Science and Business Media LLC