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Abstract Details

Predictive Value of CSF Biomarkers for Alzheimer's Disease in an Italian Cohort of Patients with Mild Cognitive Impairment
Aging and Dementia
IN3 - (-)
003
There is a growing interest in identifying AD at the early stages as earlier diagnosis is a major goal of health services. Amnestic MCI patient presents a high risk of conversion to AD, while non-amnestic MCI may also convert to other forms of dementia. Recently, several studies reported that CSF biomarkers may be useful in identifying MCI at risk of developing AD.
88 patients (49 females and 39 males; mean age 68.3 卤 8.2 yrs) were recruited at the Department of Neuroscience, University of Torino, Italy. All patients were diagnosed with MCI, 42% amnestic MCI, 58% non-amnestic MCI. During hospitalization all patients underwent lumbar puncture, and CSF A?-42, T-tau and P-tau concentrations were measured. The following indices were calculated: T-tau/A?-42 ratio, P-tau/A?-42 ratio, and AD CSF profile, calculated as AB-42/ (240 + [1,18 x T-tau]).
The initial diagnosis of MCI was re-evaluated at 3 years follow up. A?-42 had an AUC of 0.88, a sensitivity of 86%, and a specificity of 79% to predict AD (cut-off: 500 mg /mL). AD profile had an AUC of 0.97, a sensitivity of 97%, and a specificity of 96% (cut-off: 1).
CSF A?-42, T-tau, P-tau evaluation is extremely useful in patients with MCI, in order to assess the probability of progression to Alzheimer's disease. When evaluated together, these CSF biomarkers, show a sensitivity of 89%, a specificity of 77%, a PPV of 73%, and a VPN of 91% in highlighting a CSF alteration predicting AD. In particular, CSF AD profile seems to play an important role as predictive tool in MCI patients.
Authors/Disclosures

PRESENTER
No disclosure on file
No disclosure on file
No disclosure on file
Lorenzo Pinessi, MD (University of Turin/Dept of Neuroscience) No disclosure on file
Innocenzo Rainero, MD, PhD (University of Turin) No disclosure on file
No disclosure on file