Alzheimer’s Research & Therapy (May 2024)

Clinical validity of the Italian adaptation of the Uniform Data Set Neuropsychological Test Battery (I-UDSNB) in Mild Cognitive Impairment and Alzheimer’s Disease

  • Francesca Conca,
  • Valentina Esposito,
  • Eleonora Catricalà,
  • Rosa Manenti,
  • Federica L’Abbate,
  • Davide Quaranta,
  • Guido Maria Giuffrè,
  • Federica Rossetto,
  • Federica Solca,
  • Beatrice Orso,
  • Emanuela Inguscio,
  • Valeria Crepaldi,
  • Maddalena De Matteis,
  • Emanuela Rotondo,
  • Marina Manera,
  • Giulia Caruso,
  • Valentina Catania,
  • Elisa Canu,
  • Francesco Rundo,
  • Matteo Cotta Ramusino,
  • Massimo Filippi,
  • Cira Fundarò,
  • Federica Piras,
  • Andrea Arighi,
  • Pietro Tiraboschi,
  • Michelangelo Stanzani Maserati,
  • Matteo Pardini,
  • Barbara Poletti,
  • Vincenzo Silani,
  • Camillo Marra,
  • Sonia Di Tella,
  • Maria Cotelli,
  • Raffaele Lodi,
  • Fabrizio Tagliavini,
  • Stefano Francesco Cappa

DOI
https://doi.org/10.1186/s13195-024-01465-0
Journal volume & issue
Vol. 16, no. 1
pp. 1 – 9

Abstract

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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.

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