Prediction of AD dementia by biomarkers following the NIA‐AA and IWG diagnostic criteria in MCI patients from three European memory clinics. Issue 10 (31st January 2015)

• Record Type: Journal Article
• Authors: Prestia, Annapaola; Caroli, Anna; Wade, Sara K.; van der Flier, Wiesjie M.; Ossenkoppele, Rik; Van Berckel, Bart; Barkhof, Frederik; Teunissen, Charlotte E.; Wall, Anders; Carter, Stephen F.; Schöll, Michael; Choo, Il Han; Nordberg, Agneta; Scheltens, Philip; Frisoni, Giovanni B.
• Is Part Of: Alzheimer's & dementia. Volume 11:Issue 10(2015)
• Page Start: 1191
• Page End: 1201
• Publication Date: 2015-01-31
• Subjects: Alzheimer's disease -- MCI -- MRI -- PET -- Diagnostic criteria -- 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.2014.12.001
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Introduction: Proposed diagnostic criteria (international working group and National Institute on Aging and Alzheimer's Association) for Alzheimer's disease (AD) include markers of amyloidosis (abnormal cerebrospinal fluid [CSF] amyloid beta [Aβ]42) and neurodegeneration (hippocampal atrophy, temporo‐parietal hypometabolism on [18F]‐fluorodeoxyglucose‐positron emission tomography (FDG‐PET), and abnormal CSF tau). We aim to compare the accuracy of these biomarkers, individually and in combination, in predicting AD among mild cognitive impairment (MCI) patients. Methods: In 73 MCI patients, followed to ascertain AD progression, markers were measured. Sensitivity and specificity, positive (LR+) and negative (LR−) likelihood ratios, and crude and adjusted hazard ratios were computed. Results: Twenty‐nine MCI patients progressed and 44 remained stable. Positivity to any marker achieved the lowest LR− (0.0), whereas the combination Aβ42 plus FDG‐PET achieved the highest LR+ (6.45). In a survival analysis, positivity to any marker was associated with 100% conversion rate, whereas negativity to all markers was associated with 100% stability. Discussion: The best criteria combined amyloidosis and neurodegeneration biomarkers, whereas the individual biomarker with the best performance was FDG‐PET.