Acceptable performance of blood biomarker tests of amyloid pathology - recommendations from the Global CEO Initiative on Alzheimer's Disease.
Journal
Nature reviews. Neurology
ISSN: 1759-4766
Titre abrégé: Nat Rev Neurol
Pays: England
ID NLM: 101500072
Informations de publication
Date de publication:
12 Jun 2024
12 Jun 2024
Historique:
accepted:
16
05
2024
medline:
13
6
2024
pubmed:
13
6
2024
entrez:
12
6
2024
Statut:
aheadofprint
Résumé
Anti-amyloid treatments for early symptomatic Alzheimer disease have recently become clinically available in some countries, which has greatly increased the need for biomarker confirmation of amyloid pathology. Blood biomarker (BBM) tests for amyloid pathology are more acceptable, accessible and scalable than amyloid PET or cerebrospinal fluid (CSF) tests, but have highly variable levels of performance. The Global CEO Initiative on Alzheimer's Disease convened a BBM Workgroup to consider the minimum acceptable performance of BBM tests for clinical use. Amyloid PET status was identified as the reference standard. For use as a triaging test before subsequent confirmatory tests such as amyloid PET or CSF tests, the BBM Workgroup recommends that a BBM test has a sensitivity of ≥90% with a specificity of ≥85% in primary care and ≥75-85% in secondary care depending on the availability of follow-up testing. For use as a confirmatory test without follow-up tests, a BBM test should have performance equivalent to that of CSF tests - a sensitivity and specificity of ~90%. Importantly, the predictive values of all biomarker tests vary according to the pre-test probability of amyloid pathology and must be interpreted in the complete clinical context. Use of BBM tests that meet these performance standards could enable more people to receive an accurate and timely Alzheimer disease diagnosis and potentially benefit from new treatments.
Identifiants
pubmed: 38866966
doi: 10.1038/s41582-024-00977-5
pii: 10.1038/s41582-024-00977-5
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. Springer Nature Limited.
Références
Engelborghs, S. et al. Diagnostic performance of a CSF-biomarker panel in autopsy-confirmed dementia. Neurobiol. Aging 29, 1143–1159 (2008).
pubmed: 17428581
doi: 10.1016/j.neurobiolaging.2007.02.016
Hampel, H. et al. Blood-based biomarkers for Alzheimer’s disease: current state and future use in a transformed global healthcare landscape. Neuron 111, 2781–2799 (2023).
pubmed: 37295421
doi: 10.1016/j.neuron.2023.05.017
Schindler, S. E. & Atri, A. The role of cerebrospinal fluid and other biomarker modalities in the Alzheimer’s disease diagnostic revolution. Nat. Aging 3, 460–462 (2023).
pubmed: 37202514
pmcid: 10720501
doi: 10.1038/s43587-023-00400-6
Hansson, O. et al. The Alzheimer’s Association appropriate use recommendations for blood biomarkers in Alzheimer’s disease. Alzheimers Dement. 18, 2669–2686 (2022).
pubmed: 35908251
doi: 10.1002/alz.12756
Hansson, O., Blennow, K., Zetterberg, H. & Dage, J. Blood biomarkers for Alzheimer’s disease in clinical practice and trials. Nat. Aging 3, 506–519 (2023).
pubmed: 37202517
pmcid: 10979350
doi: 10.1038/s43587-023-00403-3
Mintun, M. A. et al. Donanemab in early Alzheimer’s disease. N. Engl. J. Med. 384, 1691–1704 (2021).
pubmed: 33720637
doi: 10.1056/NEJMoa2100708
Sims, J. R. et al. Donanemab in early symptomatic Alzheimer disease: the TRAILBLAZER-ALZ 2 randomized clinical trial. JAMA 330, 512–527 (2023).
pubmed: 37459141
pmcid: 10352931
doi: 10.1001/jama.2023.13239
Leqembi. Prescribing Information. Eisai Inc. and Biogen. https://www.accessdata.fda.gov/drugsatfda_docs/label/2023/761269s000lbl.pdf (2023).
Aduhelm. Prescribing Information. Biogen and Eisai Inc. https://www.accessdata.fda.gov/drugsatfda_docs/label/2021/761178s003lbl.pdf (2021).
Cummings, J. & Fox, N. Defining disease modifying therapy for Alzheimer’s disease. J. Prev. Alzheimers Dis. 4, 109–115 (2017).
pubmed: 29071250
pmcid: 5653310
No Authors Listed. 2023 Alzheimer’s disease facts and figures. Alzheimers Dement. 19, 1598–1695 (2023).
Schindler, S. E. Fluid biomarkers in dementia diagnosis. Continuum 28, 822–833 (2022).
pubmed: 35678404
Drabo, E. F. et al. Longitudinal analysis of dementia diagnosis and specialty care among racially diverse Medicare beneficiaries. Alzheimers Dement. 15, 1402–1411 (2019).
pubmed: 31494079
doi: 10.1016/j.jalz.2019.07.005
No Authors Listed. 2020 Alzheimer’s disease facts and figures. Alzheimers Dement. 16, 391–460 (2020).
doi: 10.1002/alz.12068
Gauthier, S., Rosa-Neto, P., Morais, J. A. & Webster, C. World Alzheimer report 2021: journey through the diagnosis of dementia. Alzheimer’s Disease International. https://www.alzint.org/u/World-Alzheimer-Report-2021.pdf (2021).
Gauthier, S., Webster, C., Servaes, S., Morais, J. A. & Rosa-Neto, P. World Alzheimer Report 2022: life after diagnosis: navigating treatment, care and support. Alzheimer’s Disease International. https://www.alzint.org/resource/world-alzheimer-report-2022/ (2022).
Bradford, A., Kunik, M. E., Schulz, P., Williams, S. P. & Singh, H. Missed and delayed diagnosis of dementia in primary care: prevalence and contributing factors. Alzheimer Dis. Assoc. Disord. 23, 306–314 (2009).
pubmed: 19568149
pmcid: 2787842
doi: 10.1097/WAD.0b013e3181a6bebc
Rabinovici, G. D. et al. Association of amyloid positron emission tomography with subsequent change in clinical management among Medicare beneficiaries with mild cognitive impairment or dementia. JAMA 321, 1286–1294 (2019).
pubmed: 30938796
pmcid: 6450276
doi: 10.1001/jama.2019.2000
World Health Organization. Global Status Report on the Public Health Response to Dementia (2021).
HRSA. Health Resources and Services Administration, National Center for Health Workforce Analysis. Health Workforce Projections: Neurology Physicians and Physician Assistants. https://bhw.hrsa.gov/sites/default/files/bureau-health-workforce/data-research/bhw-factsheet-neurology.pdf (2017).
Bhattacharyya, D. S., Hossain, M. H., Dutta, G. K., Nowrin, I. & Saif-Ur-Rahman, K. M. Service coverage and health workforce allocation strategies for geriatric and palliative care in low- and middle-income countries: a protocol for a systematic review and meta-analysis. Medicine 101, e29030 (2022).
pubmed: 35451407
pmcid: 8913098
doi: 10.1097/MD.0000000000029030
Hansson, O. Biomarkers for neurodegenerative diseases. Nat. Med. 27, 954–963 (2021).
pubmed: 34083813
doi: 10.1038/s41591-021-01382-x
Shaw, L. M. et al. Appropriate use criteria for lumbar puncture and cerebrospinal fluid testing in the diagnosis of Alzheimer’s disease. Alzheimers Dement. 14, 1505–1521 (2018).
pubmed: 30316776
doi: 10.1016/j.jalz.2018.07.220
Johnson, K. A. et al. Appropriate use criteria for amyloid PET: a report of the Amyloid Imaging Task Force, the Society of Nuclear Medicine and Molecular Imaging, and the Alzheimer’s Association. Alzheimers Dement. 9, e-1–e-16 (2013).
doi: 10.1016/j.jalz.2013.01.002
Clark, C. M. et al. Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-β plaques: a prospective cohort study. Lancet Neurol. 11, 669–678 (2012).
pubmed: 22749065
doi: 10.1016/S1474-4422(12)70142-4
Mattsson-Carlgren, N. et al. Cerebrospinal fluid biomarkers in autopsy-confirmed Alzheimer disease and frontotemporal lobar degeneration. Neurology 98, e1137–e1150 (2022).
pubmed: 35173015
pmcid: 8935438
doi: 10.1212/WNL.0000000000200040
Long, J. M. et al. Preclinical Alzheimer’s disease biomarkers accurately predict cognitive and neuropathological outcomes. Brain 145, 4506–4518 (2022).
pubmed: 35867858
pmcid: 10200309
doi: 10.1093/brain/awac250
The Global CEO Initiative on Alzheimer’s Disease. UsAgainstAlzheimer’s. https://www.usagainstalzheimers.org/our-enterprise/CEOi (2024).
Amyvid. Prescribing information. Eli Lilly and Company. https://www.accessdata.fda.gov/drugsatfda_docs/label/2012/202008s000lbl.pdf (2012).
Neuraceq. Prescribing information. Piramal Imaging S.A. https://www.accessdata.fda.gov/drugsatfda_docs/label/2014/204677s000lbl.pdf (2014).
Vizamyl. Prescribing information. GE Healthcare. https://www.accessdata.fda.gov/drugsatfda_docs/label/2016/203137s005lbl.pdf (2016).
Jack, C. R. Jr. et al. NIA-AA research framework: toward a biological definition of Alzheimer’s disease. Alzheimers Dement. 14, 535–562 (2018).
pubmed: 29653606
doi: 10.1016/j.jalz.2018.02.018
Therriault, J. et al. Association of phosphorylated tau biomarkers with amyloid positron emission tomography vs tau positron emission tomography. JAMA Neurol. 80, 188–199 (2023).
pubmed: 36508198
doi: 10.1001/jamaneurol.2022.4485
Barthélemy, N. R. et al. CSF tau phosphorylation occupancies at T217 and T205 represent improved biomarkers of amyloid and tau pathology in Alzheimer’s disease. Nat. Aging 3, 391–401 (2023).
pubmed: 37117788
pmcid: 10154225
doi: 10.1038/s43587-023-00380-7
Horie, K. et al. CSF MTBR-tau243 is a specific biomarker of tau tangle pathology in Alzheimer’s disease. Nat. Med. 29, 1954–1963 (2023).
pubmed: 37443334
pmcid: 10427417
doi: 10.1038/s41591-023-02443-z
Krishnadas, N., Villemagne, V. L., Doré, V. & Rowe, C. C. Advances in brain amyloid imaging. Semin. Nucl. Med. 51, 241–252 (2021).
pubmed: 33482999
doi: 10.1053/j.semnuclmed.2020.12.005
Hardy-Sosa, A. et al. Diagnostic accuracy of blood-based biomarker panels: a systematic review. Front. Aging Neurosci. 14, 683689 (2022).
pubmed: 35360215
pmcid: 8963375
doi: 10.3389/fnagi.2022.683689
Porsteinsson, A. P., Isaacson, R. S., Knox, S., Sabbagh, M. N. & Rubino, I. Diagnosis of early Alzheimer’s disease: clinical practice in 2021. J. Prev. Alzheimers Dis. 8, 371–386 (2021).
pubmed: 34101796
Domingues, R., Bruniera, G., Brunale, F., Mangueira, C. & Senne, C. Lumbar puncture in patients using anticoagulants and antiplatelet agents. Arq. Neuropsiquiatr. 74, 679–686 (2016).
pubmed: 27556380
doi: 10.1590/0004-282X20160098
Bonomi, S., Gupta, M. R. & Schindler, S. E. Inadequate reimbursement for lumbar puncture is a potential barrier to accessing new Alzheimer’s disease treatments. Alzheimer’s Dement. 19, 5849–5851 (2023).
doi: 10.1002/alz.13473
Janelidze, S. et al. Plasma β-amyloid in Alzheimer’s disease and vascular disease. Sci. Rep. 6, 26801 (2016).
pubmed: 27241045
pmcid: 4886210
doi: 10.1038/srep26801
Nakamura, A. et al. High performance plasma amyloid-β biomarkers for Alzheimer’s disease. Nature 554, 249–254 (2018).
pubmed: 29420472
doi: 10.1038/nature25456
Schindler, S. E. et al. High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis. Neurology 93, e1647–e1659 (2019).
pubmed: 31371569
pmcid: 6946467
doi: 10.1212/WNL.0000000000008081
Janelidze, S. et al. Plasma P-tau181 in Alzheimer’s disease: relationship to other biomarkers, differential diagnosis, neuropathology and longitudinal progression to Alzheimer’s dementia. Nat. Med. 26, 379–386 (2020).
pubmed: 32123385
doi: 10.1038/s41591-020-0755-1
Karikari, T. K. et al. Blood phosphorylated tau 181 as a biomarker for Alzheimer’s disease: a diagnostic performance and prediction modelling study using data from four prospective cohorts. Lancet Neurol. 19, 422–433 (2020).
pubmed: 32333900
doi: 10.1016/S1474-4422(20)30071-5
Thijssen, E. H. et al. Diagnostic value of plasma phosphorylated tau181 in Alzheimer’s disease and frontotemporal lobar degeneration. Nat. Med. 26, 387–397 (2020).
pubmed: 32123386
pmcid: 7101073
doi: 10.1038/s41591-020-0762-2
Ashton, N. J. et al. Plasma and CSF biomarkers in a memory clinic: head-to-head comparison of phosphorylated tau immunoassays. Alzheimers Dement. 19, 1913–1924 (2023).
pubmed: 36370462
doi: 10.1002/alz.12841
Palmqvist, S. et al. Discriminative accuracy of plasma phospho-tau217 for Alzheimer disease vs other neurodegenerative disorders. JAMA 324, 772 (2020).
pubmed: 32722745
doi: 10.1001/jama.2020.12134
Ashton, N. J. et al. Plasma p-tau231: a new biomarker for incipient Alzheimer’s disease pathology. Acta Neuropathol. 141, 709–724 (2021).
pubmed: 33585983
pmcid: 8043944
doi: 10.1007/s00401-021-02275-6
Milà-Alomà, M. et al. Plasma p-tau231 and p-tau217 as state markers of amyloid-β pathology in preclinical Alzheimer’s disease. Nat. Med. 28, 1797–1801 (2022).
pubmed: 35953717
pmcid: 9499867
Karikari, T. K. Blood tests for Alzheimer’s disease: increasing efforts to expand and diversify research participation is critical for widespread validation and acceptance. J. Alzheimers Dis. 90, 967–974 (2022).
pubmed: 35491788
pmcid: 9741736
doi: 10.3233/JAD-215730
Verberk, I. M. W. et al. Characterization of pre-analytical sample handling effects on a panel of Alzheimer’s disease-related blood-based biomarkers: results from the Standardization of Alzheimer’s Blood Biomarkers (SABB) working group. Alzheimers Dement. 18, 1484–1497 (2022).
pubmed: 34845818
doi: 10.1002/alz.12510
Brand, A. L. et al. The performance of plasma amyloid beta measurements in identifying amyloid plaques in Alzheimer’s disease: a literature review. Alzheimers Res. Ther. 14, 195 (2022).
pubmed: 36575454
pmcid: 9793600
doi: 10.1186/s13195-022-01117-1
Janelidze, S. et al. Head-to-head comparison of 8 plasma amyloid-β 42/40 assays in Alzheimer disease. JAMA Neurol. 78, 1375–1382 (2021).
pubmed: 34542571
doi: 10.1001/jamaneurol.2021.3180
Zicha, S. et al. Comparative analytical performance of multiple plasma Aβ42 and Aβ40 assays and their ability to predict positron emission tomography amyloid positivity. Alzheimers Dement. https://doi.org/10.1002/alz.12697 (2022).
Palmqvist, S. et al. Performance of fully automated plasma assays as screening tests for Alzheimer disease-related β-amyloid status. JAMA Neurol. 76, 1060–1069 (2019).
pubmed: 31233127
pmcid: 6593637
doi: 10.1001/jamaneurol.2019.1632
Karikari, T. K. et al. Blood phospho-tau in Alzheimer disease: analysis, interpretation, and clinical utility. Nat. Rev. Neurol. 18, 400–418 (2022).
pubmed: 35585226
doi: 10.1038/s41582-022-00665-2
Barthelemy, N. R., Horie, K., Sato, C. & Bateman, R. J. Blood plasma phosphorylated-tau isoforms track CNS change in Alzheimer’s disease. J. Exp. Med. 217, e20200861 (2020).
pubmed: 32725127
pmcid: 7596823
doi: 10.1084/jem.20200861
Janelidze, S. et al. Head-to-head comparison of 10 plasma phospho-tau assays in prodromal Alzheimer’s disease. Brain 146, 1592–1601 (2023).
pubmed: 36087307
doi: 10.1093/brain/awac333
Ashton, N. J. et al. Diagnostic accuracy of a plasma phosphorylated tau 217 immunoassay for Alzheimer disease pathology. JAMA Neurol. 81, 255–263 (2024).
pubmed: 38252443
pmcid: 10804282
doi: 10.1001/jamaneurol.2023.5319
Barthelemy, N. R. et al. Highly accurate blood test for Alzheimer’s disease is similar or superior to clinical cerebrospinal fluid tests. Nat. Med. 30, 1085–1095 (2024).
pubmed: 38382645
pmcid: 11031399
doi: 10.1038/s41591-024-02869-z
Anand, K. & Sabbagh, M. Amyloid imaging: poised for integration into medical practice. Neurotherapeutics 14, 54–61 (2017).
pubmed: 27571940
doi: 10.1007/s13311-016-0474-y
Sabri, O. et al. Florbetaben PET imaging to detect amyloid beta plaques in Alzheimer’s disease: phase 3 study. Alzheimers Dement. 11, 964–974 (2015).
pubmed: 25824567
doi: 10.1016/j.jalz.2015.02.004
Curtis, C. et al. Phase 3 trial of flutemetamol labeled with radioactive fluorine 18 imaging and neuritic plaque density. JAMA Neurol. 72, 287–294 (2015).
pubmed: 25622185
doi: 10.1001/jamaneurol.2014.4144
Jie, C., Treyer, V., Schibli, R. & Mu, L. Tauvid™: the first FDA-approved PET tracer for imaging tau pathology in Alzheimer’s disease. Pharmaceuticals 14, 110 (2021).
pubmed: 33573211
pmcid: 7911942
doi: 10.3390/ph14020110
Tauvid. Prescribing Information. Eli Lilly and Company. https://www.accessdata.fda.gov/drugsatfda_docs/label/2020/212123s000lbl.pdf (2020).
Fleisher, A. S. et al. Positron emission tomography imaging with [18F]flortaucipir and postmortem assessment of Alzheimer disease neuropathologic changes. JAMA Neurol. 77, 829 (2020).
pubmed: 32338734
doi: 10.1001/jamaneurol.2020.0528
Ossenkoppele, R. et al. Discriminative accuracy of [18F]flortaucipir positron emission tomography for Alzheimer disease vs other neurodegenerative disorders. JAMA 320, 1151–1162 (2018).
pubmed: 30326496
pmcid: 6233630
doi: 10.1001/jama.2018.12917
La Joie, R. et al. Quantitative amyloid‐PET in real‐world practice: lessons from the imaging dementia — evidence for amyloid scanning (IDEAS) study. Alzheimers Dement. 19, e082874 (2023).
doi: 10.1002/alz.082874
Bucci, M. et al. A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [(18)F]flutemetamol amyloid PET images. Eur. J. Nucl. Med. Mol. Imaging 48, 2183–2199 (2021).
pubmed: 33844055
pmcid: 8175298
doi: 10.1007/s00259-021-05311-5
Ranson, J. M. et al. Predictors of dementia misclassification when using brief cognitive assessments. Neurol. Clin. Pract. 9, 109–117 (2019).
pubmed: 31041124
pmcid: 6461420
doi: 10.1212/CPJ.0000000000000566
Cummings, J. et al. Lecanemab: appropriate use recommendations. J. Prev. Alzheimers Dis. 10, 362–377 (2023).
pubmed: 37357276
pmcid: 10313141
Cummings, J. et al. Aducanumab: appropriate use recommendations. J. Prev. Alzheimers Dis. 8, 398–410 (2021).
pubmed: 34585212
pmcid: 8835345
Dumurgier, J. et al. A pragmatic, data-driven method to determine cutoffs for CSF biomarkers of Alzheimer disease based on validation against PET imaging. Neurology 99, e669–e678 (2022).
pubmed: 35970577
pmcid: 9484605
doi: 10.1212/WNL.0000000000200735
Bartlett, J. W. et al. Determining cut-points for Alzheimer’s disease biomarkers: statistical issues, methods and challenges. Biomark. Med. 6, 391–400 (2012).
pubmed: 22917141
doi: 10.2217/bmm.12.49
Leuzy, A. et al. Robustness of CSF Aβ42/40 and Aβ42/P‐tau181 measured using fully automated immunoassays to detect AD‐related outcomes. Alzheimers Dement. 19, 2994–3004 (2023).
pubmed: 36681387
doi: 10.1002/alz.12897
Cullen, N. C. et al. Test–retest variability of plasma biomarkers in Alzheimer’s disease and its effects on clinical prediction models. Alzheimers Dement. 19, 797–806 (2023).
doi: 10.1002/alz.12706
Brum, W. S. et al. A two-step workflow based on plasma p-tau217 to screen for amyloid beta positivity with further confirmatory testing only in uncertain cases. Nat. Aging 3, 1079–1090 (2023).
pubmed: 37653254
pmcid: 10501903
doi: 10.1038/s43587-023-00471-5
US Food and Drug Administration. Center for devices and radiological health. Evaluation of automatic class III designation for Lumipulse G β-amyloid ratio (1-42/1-40) decision summary. https://www.accessdata.fda.gov/cdrh_docs/reviews/DEN200072.pdf (2022).
Jansen, W. J. et al. Prevalence estimates of amyloid abnormality across the Alzheimer disease clinical spectrum. JAMA Neurol. 79, 228–243 (2022).
pubmed: 35099509
doi: 10.1001/jamaneurol.2021.5216
Koutsodendris, N., Nelson, M. R., Rao, A. & Huang, Y. Apolipoprotein E and Alzheimer’s disease: findings, hypotheses, and potential mechanisms. Annu. Rev. Pathol. 17, 73–99 (2022).
pubmed: 34460318
doi: 10.1146/annurev-pathmechdis-030421-112756
Mishra, S. et al. Longitudinal brain imaging in preclinical Alzheimer disease: impact of APOE ε4 genotype. Brain 141, 1828–1839 (2018).
pubmed: 29672664
pmcid: 5972633
doi: 10.1093/brain/awy103
Toledo, J. B. et al. APOE effect on amyloid-β PET spatial distribution, deposition rate, and cut-points. J. Alzheimers Dis. 69, 783–793 (2019).
pubmed: 31127775
pmcid: 8634544
doi: 10.3233/JAD-181282
Mielke, M. M. Consideration of sex differences in the measurement and interpretation of Alzheimer disease-related biofluid-based biomarkers. J. Appl. Lab. Med. 5, 158–169 (2020).
pubmed: 31811073
pmcid: 7246149
doi: 10.1373/jalm.2019.030023
O’Bryant, S. E., Petersen, M., Hall, J. & Johnson, L. A. Medical comorbidities and ethnicity impact plasma Alzheimer’s disease biomarkers: important considerations for clinical trials and practice. Alzheimers Dement. 19, 36–43 (2023).
pubmed: 35235702
doi: 10.1002/alz.12647
Ossenkoppele, R. et al. Prevalence of amyloid PET positivity in dementia syndromes: a meta-analysis. JAMA 313, 1939–1949 (2015).
pubmed: 25988463
pmcid: 4517678
doi: 10.1001/jama.2015.4669
Janssen, O. et al. Updated prevalence estimates of amyloid positivity from cognitively normal to clinical Alzheimer’s disease dementia: the Amyloid Biomarker Study. Alzheimers Dement. 17, e054889 (2021).
doi: 10.1002/alz.054889
US Food & Drug Administration. Calculator for positive predictive value (PPV) and negative predictive value (NPV) for individual tests and combined. https://www.fda.gov/media/137612/download (2023).
Palmqvist, S. et al. Accurate risk estimation of β-amyloid positivity to identify prodromal Alzheimer’s disease: cross-validation study of practical algorithms. Alzheimers Dement. 15, 194–204 (2019).
pubmed: 30365928
doi: 10.1016/j.jalz.2018.08.014
US Food and Drug Administration. FDA permits marketing for new test to improve diagnosis of Alzheimer’s disease. https://www.fda.gov/news-events/press-announcements/fda-permits-marketing-new-test-improve-diagnosis-alzheimers-disease (2022).
US Food and Drug Administration. Center for Devices and Radiological Health. Elecsys β-amyloid (1-42) CSF II, Elecsys phospho-tau (181P) CSF: 510(k) substantial equivalence determination decision summary. https://www.accessdata.fda.gov/cdrh_docs/reviews/K221842.pdf (2022).
US Food and Drug Administration, Center for Devices and Radiological Health. Elecsys β-amyloid (1-42) CSF II, Elecsys total-tau CSF substantial equivalence determination decision summary. https://www.accessdata.fda.gov/cdrh_docs/pdf23/K231348.pdf (2023).
Lewis, A. et al. Association between socioeconomic factors, race, and use of a specialty memory clinic. Neurology 101, e1424–e1433 (2023).
pubmed: 37532510
pmcid: 10573139
doi: 10.1212/WNL.0000000000207674
Morris, J. C. et al. Assessment of racial disparities in biomarkers for Alzheimer disease. JAMA Neurol. 76, 264–273 (2019).
pubmed: 30615028
pmcid: 6439726
doi: 10.1001/jamaneurol.2018.4249
Howell, J. C. et al. Race modifies the relationship between cognition and Alzheimer’s disease cerebrospinal fluid biomarkers. Alzheimers Res. Ther. 9, 88 (2017).
pubmed: 29096697
pmcid: 5668981
doi: 10.1186/s13195-017-0315-1
Garrett, S. L. et al. Racial disparity in cerebrospinal fluid amyloid and tau biomarkers and associated cutoffs for mild cognitive impairment. JAMA Netw. Open 2, e1917363 (2019).
pubmed: 31834392
pmcid: 6991300
doi: 10.1001/jamanetworkopen.2019.17363
Hajjar, I. et al. Association of plasma and cerebrospinal fluid Alzheimer disease biomarkers with race and the role of genetic ancestry, vascular comorbidities, and neighborhood factors. JAMA Netw. Open 5, e2235068 (2022).
pubmed: 36201209
pmcid: 9539715
doi: 10.1001/jamanetworkopen.2022.35068
Wilkins, C. H. et al. Racial and ethnic differences in amyloid pet positivity in individuals with mild cognitive impairment or dementia: a secondary analysis of the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS) cohort study. JAMA Neurol. 79, 1139–1147 (2022).
pubmed: 36190710
pmcid: 9531087
doi: 10.1001/jamaneurol.2022.3157
Deters, K. D. et al. Amyloid PET imaging in self-identified non-Hispanic black participants of the Anti-Amyloid in Asymptomatic Alzheimer’s Disease (A4) study. Neurology 96, e1491–e1500 (2021).
pubmed: 33568538
pmcid: 8032379
doi: 10.1212/WNL.0000000000011599
Gottesman, R. F. et al. The ARIC-PET amyloid imaging study: brain amyloid differences by age, race, sex, and APOE. Neurology 87, 473–480 (2016).
pubmed: 27371485
pmcid: 4970663
doi: 10.1212/WNL.0000000000002914
Schindler, S. E. et al. Effect of race on prediction of brain amyloidosis by plasma Aβ42/Aβ40, phosphorylated tau, and neurofilament light. Neurology 99, e245–e257 (2022).
pubmed: 35450967
pmcid: 9302933
doi: 10.1212/WNL.0000000000200358
Ramanan, V. K. et al. Association of plasma biomarkers of Alzheimer disease with cognition and medical comorbidities in a biracial cohort. Neurology 101, e1402–e1411 (2023).
pubmed: 37580163
doi: 10.1212/WNL.0000000000207675
Syrjanen, J. A. et al. Associations of amyloid and neurodegeneration plasma biomarkers with comorbidities. Alzheimers Dement. 18, 1128–1140 (2022).
pubmed: 34569696
doi: 10.1002/alz.12466
Mielke, M. M. et al. Performance of plasma phosphorylated tau 181 and 217 in the community. Nat. Med. 28, 1398–1405 (2022).
pubmed: 35618838
pmcid: 9329262
doi: 10.1038/s41591-022-01822-2
Pichet Binette, A. et al. Confounding factors of Alzheimer’s disease plasma biomarkers and their impact on clinical performance. Alzheimers Dement. 19, 1403–1414 (2023).
pubmed: 36152307
doi: 10.1002/alz.12787
Janelidze, S., Barthelemy, N. R., He, Y., Bateman, R. J. & Hansson, O. Mitigating the associations of kidney dysfunction with blood biomarkers of Alzheimer disease by using phosphorylated tau to total tau ratios. JAMA Neurol. 80, 516–522 (2023).
pubmed: 36987840
pmcid: 10061310
doi: 10.1001/jamaneurol.2023.0199
Schindler, S. E. & Karikari, T. K. Comorbidities confound Alzheimer’s blood tests. Nat. Med. 28, 1349–1351 (2022).
pubmed: 35788176
doi: 10.1038/s41591-022-01875-3
Bonomi, S. et al. Relationships of cognitive measures with cerebrospinal fluid but not imaging biomarkers of Alzheimer disease vary between black and white individuals. Ann. Neurol. 95, 495–506 (2023).
pubmed: 38038976
doi: 10.1002/ana.26838
O’Bryant, S. E. et al. The Health & Aging Brain Among Latino Elders (HABLE) study methods and participant characteristics. Alzheimer’s Dement. 13, e12202 (2021).
NIH RePORT. Alzheimer diagnosis in older adults with chronic conditions ADACC network. https://reporter.nih.gov/search/b2KG06DoXkaLoSt6R2fyAA/project-details/10726511 (2023).
Vanderschaeghe, G., Dierickx, K. & Vandenberghe, R. Review of the ethical issues of a biomarker-based diagnoses in the early stage of Alzheimer’s disease. J. Bioeth. Inq. 15, 219–230 (2018).
pubmed: 29532386
doi: 10.1007/s11673-018-9844-y