Literature DB >> 32340038

Accuracy of Biomarker Testing for Neuropathologically Defined Alzheimer Disease in Older Adults With Dementia.

Howard A Fink1, Eric J Linskens2, Pombie C Silverman3, J Riley McCarten1, Laura S Hemmy1, Jeannine M Ouellette4, Nancy L Greer2, Timothy J Wilt1, Mary Butler4.   

Abstract

BACKGROUND: Biomarker accuracy for Alzheimer disease (AD) is uncertain.
PURPOSE: To summarize evidence on biomarker accuracy for classifying AD in older adults with dementia. DATA SOURCES: Electronic bibliographic databases (searched from January 2012 to November 2019 for brain imaging and cerebrospinal fluid [CSF] tests and from inception to November 2019 for blood tests), ClinicalTrials.gov (to November 2019), and systematic review bibliographies. STUDY SELECTION: English-language studies evaluating the accuracy of brain imaging, CSF testing, or blood tests for distinguishing neuropathologically defined AD from non-AD among older adults with dementia. Studies with low or medium risk of bias were analyzed. DATA EXTRACTION: Two reviewers rated risk of bias. One extracted data; the other verified accuracy. DATA SYNTHESIS: Fifteen brain imaging studies and 9 CSF studies met analysis criteria. Median sensitivity and specificity, respectively, were 0.91 and 0.92 for amyloid positron emission tomography (PET), 0.89 and 0.74 for 18F-labeled fluorodeoxyglucose (18F-FDG) PET, 0.64 and 0.83 for single-photon emission computed tomography, and 0.91 and 0.89 for medial temporal lobe atrophy on magnetic resonance imaging (MRI). Individual CSF biomarkers and ratios had moderate sensitivity (range, 0.62 to 0.83) and specificity (range, 0.53 to 0.69); in the few direct comparisons, β-amyloid 42 (Aβ42)/phosphorylated tau (p-tau) ratio, total tau (t-tau)/Aβ42 ratio, and p-tau appeared more accurate than Aβ42 and t-tau alone. Single studies suggested that amyloid PET, 18F-FDG PET, and CSF test combinations may add accuracy to clinical evaluation. LIMITATIONS: Studies were small, biomarker cut points and neuropathologic AD were inconsistently defined, and methods with uncertain applicability to typical clinical settings were used. Few studies directly compared biomarkers, assessed test combinations, evaluated whether biomarkers improved classification accuracy when added to clinical evaluation, or reported harms.
CONCLUSION: In methodologically heterogeneous studies of uncertain applicability to typical clinical settings, amyloid PET, 18F-FDG PET, and MRI were highly sensitive for neuropathologic AD. Amyloid PET, 18F-FDG PET, and CSF test combinations may add accuracy to clinical evaluation. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality. (PROSPERO: CRD42018117897).

Entities:  

Keywords:  Autopsy; Clinical pathology; Cohort studies; Dementia; Hematologic tests; Neuroimaging; Research design; Retrospective studies; Sensitivity; Specificity

Mesh:

Substances:

Year:  2020        PMID: 32340038     DOI: 10.7326/M19-3888

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  10 in total

1.  Diagnostic performance of hippocampal volumetry in Alzheimer's disease or mild cognitive impairment: a meta-analysis.

Authors:  Ho Young Park; Chong Hyun Suh; Hwon Heo; Woo Hyun Shim; Sang Joon Kim
Journal:  Eur Radiol       Date:  2022-05-04       Impact factor: 7.034

Review 2.  Biofluid Biomarkers of Alzheimer's Disease: Progress, Problems, and Perspectives.

Authors:  Shan Huang; Yan-Jiang Wang; Junhong Guo
Journal:  Neurosci Bull       Date:  2022-03-19       Impact factor: 5.271

3.  Matching Clinical Diagnosis and Amyloid Biomarkers in Alzheimer's Disease and Frontotemporal Dementia.

Authors:  Giulia Giacomucci; Salvatore Mazzeo; Silvia Bagnoli; Matteo Casini; Sonia Padiglioni; Cristina Polito; Valentina Berti; Juri Balestrini; Camilla Ferrari; Gemma Lombardi; Assunta Ingannato; Sandro Sorbi; Benedetta Nacmias; Valentina Bessi
Journal:  J Pers Med       Date:  2021-01-14

4.  Comparison of the clinical impact of 2-[18F]FDG-PET and cerebrospinal fluid biomarkers in patients suspected of Alzheimer's disease.

Authors:  Le Gjerum; Birgitte Bo Andersen; Marie Bruun; Anja Hviid Simonsen; Otto Mølby Henriksen; Ian Law; Steen Gregers Hasselbalch; Kristian Steen Frederiksen
Journal:  PLoS One       Date:  2021-03-12       Impact factor: 3.240

5.  Treatment of canine cognitive dysfunction with novel butyrylcholinesterase inhibitor.

Authors:  Maja Zakošek Pipan; Sonja Prpar Mihevc; Malan Štrbenc; Urban Košak; Ilija German Ilić; Jurij Trontelj; Simon Žakelj; Stanislav Gobec; Darja Pavlin; Gregor Majdič
Journal:  Sci Rep       Date:  2021-09-13       Impact factor: 4.379

6.  Diagnostic Accuracy of Amyloid versus 18 F-Fluorodeoxyglucose Positron Emission Tomography in Autopsy-Confirmed Dementia.

Authors:  Orit H Lesman-Segev; Renaud La Joie; Leonardo Iaccarino; Iryna Lobach; Howard J Rosen; Sang Won Seo; Mustafa Janabi; Suzanne L Baker; Lauren Edwards; Julie Pham; John Olichney; Adam Boxer; Eric Huang; Marilu Gorno-Tempini; Charles DeCarli; Mackenzie Hepker; Ji-Hye L Hwang; Bruce L Miller; Salvatore Spina; Lea T Grinberg; William W Seeley; William J Jagust; Gil D Rabinovici
Journal:  Ann Neurol       Date:  2020-12-07       Impact factor: 10.422

Review 7.  Brain SPECT as a Biomarker of Neurodegeneration in Dementia in the Era of Molecular Imaging: Still a Valid Option?

Authors:  Rodolfo Ferrando; Andres Damian
Journal:  Front Neurol       Date:  2021-05-10       Impact factor: 4.003

8.  Improvement in depressive symptoms after antiretroviral therapy initiation in people with HIV in Rakai, Uganda.

Authors:  Noeline Nakasujja; Alyssa C Vecchio; Deanna Saylor; Sarah Lofgren; Gertrude Nakigozi; David R Boulware; Alice Kisakye; James Batte; Richard Mayanja; Aggrey Anok; Steven J Reynolds; Thomas C Quinn; Carlos A Pardo; Anupama Kumar; Ronald H Gray; Maria J Wawer; Ned Sacktor; Leah H Rubin
Journal:  J Neurovirol       Date:  2021-07-31       Impact factor: 3.739

9.  Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment.

Authors:  Michael F Bergeron; Sara Landset; Xianbo Zhou; Tao Ding; Taghi M Khoshgoftaar; Feng Zhao; Bo Du; Xinjie Chen; Xuan Wang; Lianmei Zhong; Xiaolei Liu; J Wesson Ashford
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

10.  Associations of Fully Automated CSF and Novel Plasma Biomarkers With Alzheimer Disease Neuropathology at Autopsy.

Authors:  Michel J Grothe; Alexis Moscoso; Nicholas J Ashton; Thomas K Karikari; Juan Lantero-Rodriguez; Anniina Snellman; Henrik Zetterberg; Kaj Blennow; Michael Schöll
Journal:  Neurology       Date:  2021-07-15       Impact factor: 9.910

  10 in total

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