Protocol of the Cognitive Health in Ageing Register: Investigational, Observational and Trial Studies in Dementia Research (CHARIOT): Prospective Readiness cOhort (PRO) SubStudy

Chinedu T Udeh-Momoh, Tamlyn Watermeyer, Geraint Price, Celeste A de Jager Loots, Natalia Reglinska-Matveyev, Michael Ropacki, Nzeera Ketter, Michael Fogle, Nandini Raghavan, Michael Arrighi, Robert Brashear, Jianing Di, Susan Baker, Parthenia Giannakopoulou, Catherine Robb, Darina Bassil, Martin Cohn, Heather McLellan-Young, Jennifier Crispin, Kristina Lakey, Curry Lisa, Yellappa Chowdary Seemulamoodi, Dimitra Kafetsouli, Dinithi Perera, Josip Car, Azeem Majeed, Heather Ward, Karen Ritchie, Robert Perneczky, Miia Kivipelto, David Scott, Luc Bracoud, Ziad Saad, Gerald Novak, Craig W Ritchie, Lefkos Middleton, Chinedu T Udeh-Momoh, Tamlyn Watermeyer, Geraint Price, Celeste A de Jager Loots, Natalia Reglinska-Matveyev, Michael Ropacki, Nzeera Ketter, Michael Fogle, Nandini Raghavan, Michael Arrighi, Robert Brashear, Jianing Di, Susan Baker, Parthenia Giannakopoulou, Catherine Robb, Darina Bassil, Martin Cohn, Heather McLellan-Young, Jennifier Crispin, Kristina Lakey, Curry Lisa, Yellappa Chowdary Seemulamoodi, Dimitra Kafetsouli, Dinithi Perera, Josip Car, Azeem Majeed, Heather Ward, Karen Ritchie, Robert Perneczky, Miia Kivipelto, David Scott, Luc Bracoud, Ziad Saad, Gerald Novak, Craig W Ritchie, Lefkos Middleton

Abstract

Introduction: The Cognitive Health in Ageing Register: Investigational, Observational and Trial Studies in Dementia Research (CHARIOT): Prospective Readiness cOhort (PRO) SubStudy (CPSS), sponsored by Janssen Pharmaceutical Research & Development LLC, is an Alzheimer's disease (AD) biomarker enriched observational study that began 3 July 2015 CPSS aims to identify and validate determinants of AD, alongside cognitive, functional and biological changes in older adults with or without detectable evidence of AD pathology at baseline.

Methods and analysis: CPSS is a dual-site longitudinal cohort (3.5 years) assessed quarterly. Cognitively normal participants (60-85 years) were recruited across Greater London and Edinburgh. Participants are classified as high, medium (amnestic or non-amnestic) or low risk for developing mild cognitive impairment-Alzheimer's disease based on their Repeatable Battery for the Assessment of Neuropsychological Status performance at screening. Additional AD-related assessments include: a novel cognitive composite, the Global Preclinical Alzheimer's Cognitive Composite, brain MRI and positron emission tomography and cerebrospinal fluid analysis. Lifestyle, other cognitive and functional data, as well as biosamples (blood, urine, and saliva) are collected. Primarily, study analyses will evaluate longitudinal change in cognitive and functional outcomes. Annual interim analyses for descriptive data occur throughout the course of the study, although inferential statistics are conducted as required.

Ethics and dissemination: CPSS received ethical approvals from the London-Central Research Ethics Committee (15/LO/0711) and the Administration of Radioactive Substances Advisory Committee (RPC 630/3764/33110) The study is at the forefront of global AD prevention efforts, with frequent and robust sampling of the well-characterised cohort, allowing for detection of incipient pathophysiological, cognitive and functional changes that could inform therapeutic strategies to prevent and/or delay cognitive impairment and dementia. Dissemination of results will target the scientific community, research participants, volunteer community, public, industry, regulatory authorities and policymakers. On study completion, and following a predetermined embargo period, CPSS data are planned to be made accessible for analysis to facilitate further research into the determinants of AD pathology, onset of symptomatology and progression.

Trial registration number: The CHARIOT:PRO SubStudy is registered with clinicaltrials.gov (NCT02114372). Notices of protocol modifications will be made available through this trial registry.

Keywords: dementia; epidemiology; old age psychiatry; preventive medicine.

Conflict of interest statement

Competing interests: MTR was formerly employee of Janssen and is an industry consultant. GN, SB, HMA, MF, KK, ZS and NR are employees of Janssen Research & Development, LLC and own stock/stock options in the company. NK and HRB are former employees of Janssen Research & Development, LLC and both own stock/stock options in the company. JD is an employee of Janssen China Research and Development Center and owns stock/stock options in the company. LM served as principal study investigator at Imperial College of London (ICL) abd has held consultancy agreements, in the last five years, with Eli Lilly, Astra Zeneca and Takeda and is National Coordinator for the TOMMORROW, Amaranth and Generation Clinical Studies; and does not hold any agreement with any of the funders in relation to patents, products in development relevant to this study or marketed products. CR served as principal study investigator at Edinburgh University (EDI), and has served as a consultant in the last five years for: Actinogen, Biogen, Roche Pharmaceuticals and Roche Diagnostics, Eisai, Abbott Pharmaceuticals, Eli Lilly, Kyowa Kirin, Signant Health, Merck and Nutricia. He is also the Chief Investigator and Co-coordinator of IMI-EPAD which is a public-private partnership of 39 partners www.ep-ad.org. CU-M, JC, RP, GP, Cd-JL, HW and MK served as co-principal study investigators at ICL for Janssen Research & Development, LLC and all declare no conflict of interest. JC's and AM’s posts at ICL are in part supported by the NIHR NW London Applied Research Collaboration. CR, DB, MC, PG, DK, YC-S, DP, LC, KL, HM-Y, JC and AM were study investigators at ICL and declare no conflict of interest. KR served as co-principal study investigator at EDI for Janssen Research & Development, LLC and declares no conflict of interest. TW and NR-M were study investigators at EDI and declare no conflict of interest. DS and LB are employees of Bioclinica Inc. and declare no competing interests.

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
The Cognitive Health in Ageing Register: Investigational, Observational and Trial Studies in Dementia Research (CHARIOT): Prospective Readiness cOhort (PRO) Substudy Recruitment Pathway. aJoin Dementia Research. bScottish Primary Care Research Network. cFormerly Centre for Dementia Prevention. dCHARIOT:PRO Main Study. eFormerly Neuroepidemiology and Ageing (NEA) Research Unit.
Figure 2
Figure 2
Screening and baseline assessment schedule. CDR, Clinical Dementia Rating; CSF, cerebrospinal fluid; PACC, Preclinical Alzheimer Cognitive Composite; PET, positron emission tomography; RBANS, Repeatable Battery for the Assessment of Neuropsychological Status; CFI, Cognitive Function Index; ADCS-ADL-PI, ADCS-Activities of Daily Living—Prevention Instrument; NAB, Neuropsychological Assessment Battery; NART, National Adult Reading Test; GDS, Geriatric Depression Scale; STAI, State Trait Anxiety Inventory.
Figure 3
Figure 3
Positron emission tomography (PET) amyloid-β (Aβ) status reading workflow. SUVR, Standardised Uptake Value Ratio; Q, quantification of SUVR; FS, parcellation of cerebral structures based on Freesurfer imaging pipeline; QC, quality control assessment; VIS, result of visual assessment of amyloid PET; Aβ+, assessed as Aβ positive based on visual and/or quantitative (SUVR) analysis of amyloid PET.

References

    1. Alzheimer’s Disease International . World Alzheimer’s Report 2019 Attitudes to Dementia.
    1. Jack CR, Bennett DA, Blennow K, et al. . NIA-AA research framework: toward a biological definition of Alzheimer's disease. Alzheimers Dement 2018;14:535–62. 10.1016/j.jalz.2018.02.018
    1. Papp KV, Buckley R, Mormino E, et al. . Clinical meaningfulness of subtle cognitive decline on longitudinal testing in preclinical AD. Alzheimers Dement 2020;16:552–60. 10.1016/j.jalz.2019.09.074
    1. Sperling RA, Aisen PS, Beckett LA, et al. . Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement 2011;7:280–92. 10.1016/j.jalz.2011.03.003
    1. Dubois B, Hampel H, Feldman HH, et al. . Preclinical Alzheimer's disease: definition, natural history, and diagnostic criteria. Alzheimers Dement 2016;12:292–323. 10.1016/j.jalz.2016.02.002
    1. Jansen WJ, Ossenkoppele R, Knol DL, et al. . Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis. JAMA 2015;313:1924–38. 10.1001/jama.2015.4668
    1. Jack CR, Wiste HJ, Weigand SD, et al. . Age-Specific and sex-specific prevalence of cerebral β-amyloidosis, tauopathy, and neurodegeneration in cognitively unimpaired individuals aged 50-95 years: a cross-sectional study. Lancet Neurol 2017;16:435–44. 10.1016/S1474-4422(17)30077-7
    1. Morris JC, Roe CM, Grant EA, et al. . Pittsburgh compound B imaging and prediction of progression from cognitive normality to symptomatic Alzheimer disease. Arch Neurol 2009;66:1469–75. 10.1001/archneurol.2009.269
    1. Doraiswamy PM, Sperling RA, Coleman RE, et al. . Amyloid-β assessed by florbetapir F 18 PET and 18-month cognitive decline: a multicenter study. Neurology 2012;79:1636–44. 10.1212/WNL.0b013e3182661f74
    1. Kawas CH, Greenia DE, Bullain SS, et al. . Amyloid imaging and cognitive decline in nondemented oldest-old: the 90+ study. Alzheimers Dement 2013;9:199–203. 10.1016/j.jalz.2012.06.005
    1. Udeh-Momoh C, Price G, Ropacki MT, et al. . Prospective evaluation of cognitive health and related factors in elderly at risk for developing Alzheimer's dementia: a longitudinal cohort study. J Prev Alzheimers Dis 2019;6:256–66. 10.14283/jpad.2019.31
    1. Randolph C, Tierney MC, Mohr E, et al. . The repeatable battery for the assessment of neuropsychological status (RBANS): preliminary clinical validity. J Clin Exp Neuropsychol 1998;20:310–9. 10.1076/jcen.20.3.310.823
    1. Beffert U, Cohn JS, Petit-Turcotte C, et al. . Apolipoprotein E and beta-amyloid levels in the hippocampus and frontal cortex of Alzheimer's disease subjects are disease-related and apolipoprotein E genotype dependent. Brain Res 1999;843:87–94. 10.1016/S0006-8993(99)01894-6
    1. Nalbantoglu J, Gilfix BM, Bertrand P, et al. . Predictive value of apolipoprotein E genotyping in Alzheimer's disease: results of an autopsy series and an analysis of several combined studies. Ann Neurol 1994;36:889–95. 10.1002/ana.410360614
    1. Yamazaki Y, Zhao N, Caulfield TR, et al. . Apolipoprotein E and Alzheimer disease: pathobiology and targeting strategies. Nat Rev Neurol 2019;15:501–18. 10.1038/s41582-019-0228-7
    1. Wanis H. The chariot register: a primary care-based recruitment register for research into dementia and healthy ageing. British Journal of General Practice 2019;69:bjgp19X703601. 10.3399/bjgp19X703601
    1. Larsen ME, Curry L, Mastellos N, et al. . Development of the chariot research register for the prevention of Alzheimer's dementia and other late onset neurodegenerative diseases. PLoS One 2015;10:e0141806. 10.1371/journal.pone.0141806
    1. Roberts RO, Aakre JA, Kremers WK, et al. . Prevalence and outcomes of amyloid positivity among persons without dementia in a longitudinal, population-based setting. JAMA Neurol 2018;75:970–9. 10.1001/jamaneurol.2018.0629
    1. Randolph C. Repeatable battery for the assessment of neuropsychological status (RBANS). San Antonio, TX: Psychological Corporation, 1998.
    1. Hammers D, Spurgeon E, Ryan K, et al. . Reliability of repeated cognitive assessment of dementia using a brief computerized battery. Am J Alzheimers Dis Other Demen 2011;26:326–33. 10.1177/1533317511411907
    1. Udeh-Momoh CT, de Jager-Loots CA, Price G, et al. . Transition from physical to virtual visit format for a longitudinal brain aging study, in response to the Covid-19 pandemic. Operationalizing adaptive methods and challenges. Alzheimers Dement 2020;6:e12055. 10.1002/trc2.12055
    1. Weintraub S, Carrillo MC, Farias ST, et al. . Measuring cognition and function in the preclinical stage of Alzheimer’s disease. Alzheimers Dement 2018;4:64–75. 10.1016/j.trci.2018.01.003
    1. Grober E, Ocepek-Welikson K, Teresi JA. The free and cued selective reminding test: evidence of psychometric adequacy. Psychology Science Quarterly 2009;51:266–82.
    1. Drozdick LW, Raiford SE, Wahlstrom D. The Wechsler Adult Intelligence Scale—Fourth Edition and the Wechsler Memory Scale—Fourth Edition. In: Flanagan DP, McDonough EM, eds. Contemporary intellectual assessment: theories, tests, and issues. The Guilford Press, 2018: 486–511.
    1. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12:189–98. 10.1016/0022-3956(75)90026-6
    1. O'Bryant SE, Gupta V, Henriksen K, et al. . Guidelines for the standardization of preanalytic variables for blood-based biomarker studies in Alzheimer's disease research. Alzheimers Dement 2015;11:549–60. 10.1016/j.jalz.2014.08.099
    1. Donohue MC, Sperling RA, Salmon DP, et al. . The preclinical Alzheimer cognitive composite: measuring amyloid-related decline. JAMA Neurol 2014;71:961–70. 10.1001/jamaneurol.2014.803
    1. Thomas KR, Edmonds EC, Eppig J, et al. . Using neuropsychological process scores to identify subtle cognitive decline and predict progression to mild cognitive impairment. J Alzheimers Dis 2018;64:195–204. 10.3233/JAD-180229
    1. Nelson HE, Willison J. The National adult reading test (NART). Windsor: Nfer-Nelson, 1991.
    1. Lynch WJ. A new neuropsychological test battery: the NAB. J Head Trauma Rehabil 2004;19:180–3. 10.1097/00001199-200403000-00009
    1. Bott N, Madero EN, Glenn J, et al. . Device-Embedded cameras for eye Tracking-Based cognitive assessment: validation with Paper-Pencil and computerized cognitive composites. J Med Internet Res 2018;20:e11143. 10.2196/11143
    1. Simpson PM, Surmon DJ, Wesnes KA, et al. . The cognitive drug research computerized assessment system for demented patients: a validation study. Int J Geriatr Psychiatry 1991;6:95–102. 10.1002/gps.930060208
    1. Delis DC, Kramer JH, Kaplan E, et al. . Reliability and validity of the Delis-Kaplan executive function system: an update. J Int Neuropsychol Soc 2004;10:301–3. 10.1017/S1355617704102191
    1. de Roquefeuil Guilhem RK. COGNITO: computerized assessment of information processing. J Psychol Psychother 2014;04. 10.4172/2161-0487.1000136
    1. Hughes CP, Berg L, Danziger WL, et al. . A new clinical scale for the staging of dementia. Br J Psychiatry 1982;140:566–72. 10.1192/bjp.140.6.566
    1. Walsh SP, Raman R, Jones KB, et al. . ADCS prevention instrument project: the Mail-In cognitive function screening instrument (MCFSI). Alzheimer Dis Assoc Disord 2006;20:S170–8. 10.1097/01.wad.0000213879.55547.57
    1. Galasko D, Bennett DA, Sano M, et al. . ADCS prevention instrument project: assessment of instrumental activities of daily living for community-dwelling elderly individuals in dementia prevention clinical trials. Alzheimer Dis Assoc Disord 2006;20:S152–69. 10.1097/01.wad.0000213873.25053.2b

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