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Matching Clinical Diagnosis and Amyloid Biomarkers in Alzheimer's Disease and Frontotemporal Dementia.
- Source :
-
Journal of personalized medicine [J Pers Med] 2021 Jan 14; Vol. 11 (1). Date of Electronic Publication: 2021 Jan 14. - Publication Year :
- 2021
-
Abstract
- Background: The aims of this study were to compare the diagnostic accuracy, sensitivity, specificity, and positive and negative predictive values (PPV, NPV) of different cerebrospinal fluid (CSF) amyloid biomarkers and amyloid-Positron Emission Tomography (PET) in patients with a clinical diagnosis of Alzheimer's disease (AD) and Frontotemporal Dementia (FTD); to compare concordance between biomarkers; and to provide an indication of their use and interpretation.<br />Methods: We included 148 patients (95 AD and 53 FTD), who underwent clinical evaluation, neuropsychological assessment, and at least one amyloid biomarker (CSF analysis or amyloid-PET). Thirty-six patients underwent both analyses. One-hundred-thirteen patients underwent Apolipoprotein E (ApoE) genotyping.<br />Results: Amyloid-PET presented higher diagnostic accuracy, sensitivity, and NPV than CSF Aβ <subscript>1-42</subscript> but not Aβ <subscript>42/40</subscript> ratio. Concordance between CSF biomarkers and amyloid-PET was higher in FTD patients compared to AD cases. None of the AD patients presented both negative Aβ biomarkers.<br />Conclusions: CSF Aβ <subscript>42/40</subscript> ratio significantly increased the diagnostic accuracy of CSF biomarkers. On the basis of our current and previous data, we suggest a flowchart to guide the use of biomarkers according to clinical suspicion: due to the high PPV of both amyloid-PET and CSF analysis including Aβ <subscript>42/40</subscript> , in cases of concordance between at least one biomarker and clinical diagnosis, performance of the other analysis could be avoided. A combination of both biomarkers should be performed to better characterize unclear cases. If the two amyloid biomarkers are both negative, an underlying AD pathology can most probably be excluded.
Details
- Language :
- English
- ISSN :
- 2075-4426
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of personalized medicine
- Publication Type :
- Academic Journal
- Accession number :
- 33466854
- Full Text :
- https://doi.org/10.3390/jpm11010047