TY - JOUR
T1 - Supporting evidence for using biomarkers in the diagnosis of MCI due to AD
AU - Galluzzi, Samantha
AU - Geroldi, Cristina
AU - Amicucci, Giovanni
AU - Bocchio-Chiavetto, Luisella
AU - Bonetti, Matteo
AU - Bonvicini, Cristian
AU - Cotelli, Maria
AU - Ghidoni, Roberta
AU - Paghera, Barbara
AU - Zanetti, Orazio
AU - Frisoni, Giovanni B.
AU - Archetti, S.
AU - Benussi, L.
AU - Binetti, G.
AU - Canu, E.
AU - Caobelli, F.
AU - Cavedo, E.
AU - Chitò, E.
AU - Costardi, D.
AU - Gennarelli, M.
AU - Giubbini, R.
AU - Guerra, U. P.
AU - Kuffenschin, G.
AU - Lussignoli, G.
AU - Moretti, D.
AU - Orlandini, A.
AU - Parapini, M.
AU - Paternicò, D.
AU - Porteri, C.
AU - Romano, M.
AU - Rosini, S.
AU - Scarpazza, C.
AU - Villa, I.
AU - Zanardini, R.
AU - Translational Outpatient Memory Clinic Working Group
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Alzheimer’s disease
KW - Biomarkers
KW - Dynamic model
KW - Mild cognitive impairment
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U2 - 10.1007/s00415-012-6694-0
DO - 10.1007/s00415-012-6694-0
M3 - Article
C2 - 23070466
AN - SCOPUS:84878223127
VL - 260
SP - 640
EP - 650
JO - Journal of Neurology
JF - Journal of Neurology
SN - 0340-5354
IS - 2
ER -