Supporting evidence for using biomarkers in the diagnosis of MCI due to AD

Samantha Galluzzi, Cristina Geroldi, Giovanni Amicucci, Luisella Bocchio-Chiavetto, Matteo Bonetti, Cristian Bonvicini, Maria Cotelli, Roberta Ghidoni, Barbara Paghera, Orazio Zanetti, Giovanni B. Frisoni, S. Archetti, L. Benussi, G. Binetti, E. Canu, F. Caobelli, E. Cavedo, E. Chitò, D. Costardi, M. GennarelliR. Giubbini, U. P. Guerra, G. Kuffenschin, G. Lussignoli, D. Moretti, A. Orlandini, M. Parapini, D. Paternicò, C. Porteri, M. Romano, S. Rosini, C. Scarpazza, I. Villa, R. Zanardini, Translational Outpatient Memory Clinic Working Group

Research output: Contribution to journalArticlepeer-review

Abstract

The aim of this study is to support the use of biomarkers in the diagnosis of mild cognitive impairment (MCI) due to Alzheimer’s disease (AD) according to the revised NIA-AA diagnostic criteria. We compared clinical features and conversion to AD and other dementias among groups of MCI patients with different abnormal biomarker profiles. In this study, we enrolled 58 patients with MCI, and for each of them AD biomarkers (CSF Abeta42 and tau, temporoparietal hypometabolism on 18F-FDG PET, and hippocampal volume) were collected. Patients were divided into three groups: (i) no abnormal biomarker, (ii) AD biomarker pattern (including three subgroups of early = only abnormal Abeta42, intermediate = abnormal Abeta42 and FDG PET or tau, and late = abnormal Abeta42, FDG PET or tau, and HV), and (iii) any other biomarker combination. MCI patients with AD biomarker pattern had lower behavioural disturbances than patients with any other biomarker combination (p<0.0005). This group also showed lower performance on verbal and nonverbal memory than the other two groups (p = 0.07 and p = 0.004, respectively). Within the three subgroups with AD biomarker patterns we observed a significant trend toward a higher rate of conversion to dementia (p for trend = 0.006). With regard to dementia conversion, 100 % of patients with an AD biomarker pattern developed AD, but none of the patients with no abnormal biomarker and 27 % of patients with any other biomarker combination (p = 0.002) did so. We also described some clinical cases representative for each of these three groups. The results of this study provide evidence in favour of the use of biomarkers for the diagnosis of MCI due to AD, in line with recently published research criteria.

Original languageEnglish
Pages (from-to)640-650
Number of pages11
JournalJournal of Neurology
Volume260
Issue number2
DOIs
Publication statusPublished - 2013

Keywords

  • Alzheimer’s disease
  • Biomarkers
  • Dynamic model
  • Mild cognitive impairment

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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