Diagnostic accuracy of markers for prodromal Alzheimer's disease in independent clinical series. Issue 6 (1st February 2013)

• Record Type: Journal Article
• Authors: Prestia, Annapaola; Caroli, Anna; Herholz, Karl; Reiman, Eric; Chen, Kewei; Jagust, William J.; Frisoni, Giovanni B.
• Is Part Of: Alzheimer's & dementia. Volume 9:Issue 6(2013)
• Page Start: 677
• Page End: 686
• Publication Date: 2013-02-01
• Subjects: Alzheimer's disease -- MCI -- MRI -- PET -- Diagnostic test assessment -- Diagnostic accuracy; Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1016/j.jalz.2012.09.016
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Objective: To capitalize on data from different clinical series to compare sensitivity and specificity of individual biomarkers for predicting mild cognitive impairment (MCI) progression to Alzheimer's disease (AD). Methods: Medial temporal atrophy, cortical hypometabolism, and cerebrospinal fluid biomarkers were assessed in 18 patients with mild cognitive impairment (MCI) with prodromal AD (pAD; conversion time, 26 ± 12 months) and 18 stable MCI (sMCI) patients from the Translational Outpatient Memory Clinic cohort, as well as in 24 pAD patients (conversion time, 36 ± 12 months) and 33 sMCI patients from the Alzheimer's Disease Neuroimaging Initiative cohort. Medial temporal atrophy was measured by manual, semi‐automated, and automated hippocampal volumetry; cortical hypometabolism was measured using several indices of AD‐related hypometabolism pattern; and cerebrospinal fluid markers were amyloid β (Aβ)42 and total tau protein concentrations. For each biomarker, sensitivity for pAD, specificity for sMCI, and diagnostic accuracy were computed. Results: Sensitivity to predict MCI conversion to AD in the Alzheimer's Disease Neuroimaging Initiative and Translational Outpatient Memory Clinic cohorts was 79% and 94% based on Aβ42, 46% and 28% based on hippocampal volumes, 33% to 66% and 56% to 78% based on different hypometabolism indices, and 46% and 61% based on total tau levels, respectively. Specificity to exclude sMCI was 27% and 50% based on Aβ42, 76% and 94% based on hippocampal volumes, 58% to 67% and 55% to 83% based on different hypometabolism indices, and 61% and 83% based on total tau levels, respectively. Conclusions: Current findings suggest that Aβ42 concentrations and hippocampal volumes may be used in combination to best identify pAD.