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Apiraksattayakul N, Lerttanatum C, Maethasith I, Wongsripuemtet J, Siritho S, Jitprapaikulsarn J, Ongphichetmetha T, Prayoonwiwat N, Senanarong V, Rattanabannakit C. Cognitive performance in patients with neuromyelitis optica: clinical and imaging characteristics. Sci Rep 2024; 14:20201. [PMID: 39215043 PMCID: PMC11364625 DOI: 10.1038/s41598-024-71176-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024] Open
Abstract
This study aimed to identify the prevalence, clinical and radiographic characteristics, and risk factors for cognitive dysfunction in patients with Neuromyelitis optica spectrum disorder (NMOSD). Eighty-three participants who were diagnosed with NMOSD were recruited. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) and Frontal Assessment Battery (FAB). The mean age of the patients was 47.78 ± 13.14 years, with an average of 12.05 ± 4.62 years of formal education. The majority (54%) exhibited cognitive impairment, defined by a MoCA score < 25 (mean: 22.96 ± 3.82). Disease severity (evaluated by the Expanded Disability Status Scale) and lower formal education levels were associated with cognitive impairment (p = 0.011 and < 0.001, respectively). The annualized relapse rate, disease duration, and AQP4 antibody status were not associated with cognitive impairment. Interestingly, informant-reported cognitive decline was associated with poorer cognitive performance (p = 0.027). Radiographic findings of lesion location and severity were associated with MoCA-assessed cognitive performance, particularly for lesions in the right parietal lobes (p = 0.023). Hippocampal atrophy was negatively correlated with FAB scores. In conclusion, approximately half of the Thai patients with NMOSD exhibited cognitive impairment, which was associated with age, formal education level, disease severity, relative perception, and specific radiological findings. Further studies incorporating comprehensive neuropsychological tests and subjective cognitive complaints are warranted.
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Affiliation(s)
- Natnasak Apiraksattayakul
- Siriraj Neuroimmunology Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Department of Research, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Chompoonuch Lerttanatum
- Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Inthiporn Maethasith
- Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Jitsupa Wongsripuemtet
- Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Sasitorn Siritho
- Siriraj Neuroimmunology Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Bumrungrad Hospital, Bangkok, Thailand
| | - Jiraporn Jitprapaikulsarn
- Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Siriraj Neuroimmunology Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Tatchaporn Ongphichetmetha
- Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Siriraj Neuroimmunology Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Naraporn Prayoonwiwat
- Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Siriraj Neuroimmunology Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Vorapun Senanarong
- Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Neurocognitive Disorders and Behavioral and Neuropsychiatric Problems Research Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Chatchawan Rattanabannakit
- Division of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.
- Neurocognitive Disorders and Behavioral and Neuropsychiatric Problems Research Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
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Liu Y, Su N, Li W, Hong B, Yan F, Wang J, Li X, Chen J, Xiao S, Yue L. Associations between Informant-Reported Cognitive Complaint and Longitudinal Cognitive Decline in Subjective Cognitive Decline A 7-Year Longitudinal Study. Arch Clin Neuropsychol 2024; 39:409-417. [PMID: 38180808 DOI: 10.1093/arclin/acad096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 11/21/2023] [Accepted: 12/07/2023] [Indexed: 01/07/2024] Open
Abstract
OBJECTIVE This study aimed to determine the predictive values of informant-reported memory decline (IMD) among subjective cognitive decline (SCD) older adults from a 7-year community-based cohort study. METHOD Ninety SCD participants were included. Demographic data and neuropsychological test scores at both baseline and 7-year follow-up were collected. Differences between SCD with IMD (+IMD) and SCD without IMD (-IMD) were compared. Logistic regression models were used to determine whether baseline IMD could predict diagnostic outcomes at 7-year follow-up. RESULTS Forty-one percent of SCD adults had IMD. At baseline, the +IMD group showed more depressive symptoms (p = 0.016) than the -IMD group. Furthermore, the Beijing-version Montreal Cognitive Assessment (MoCA), Digit Span Test-Forward, Visual Matching and Reasoning, and Wechsler Adult Intelligence Scale-RC Picture Completion (WAIS-PC) scores in the +IMD group were significantly lower than those in the -IMD group. Fifty-four percent of +IMD participants converted to mild cognitive impairment (MCI) or dementia at follow-up, and 22.6% of the -IMD participants converted to MCI. Follow-up Mini-Mental State Examination, MoCA, and Verbal Fluency Test scores of the +IMD group were significantly lower than those in the -IMD group. The +IMD group was more likely to progress to cognitive impairment at 7-year follow-up (OR = 3.361, p = 0.028). CONCLUSIONS SCD participants with +IMD may have poorer cognition and are more likely to convert to cognitive impairment over time. Our long-term follow-up study confirmed the importance of informants' perceptions of SCD, which can help clinicians identify individuals at risk of cognitive decline.
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Affiliation(s)
- Yuanyuan Liu
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Ning Su
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Bo Hong
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Feng Yan
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Jinghua Wang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Xia Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Jianhua Chen
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shifu Xiao
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
| | - Ling Yue
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, Shanghai, China
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Aaronson A, Ashford MT, Jin C, Bride J, Decker J, DeNicola A, Turner RW, Conti C, Tank R, Truran D, Camacho MR, Fockler J, Flenniken D, Ulbricht A, Grill JD, Rabinovici G, Carrillo MC, Mackin RS, Weiner MW, Nosheny RL. Brain Health Registry Study Partner Portal: Novel infrastructure for digital, dyadic data collection. Alzheimers Dement 2024; 20:846-857. [PMID: 37797205 PMCID: PMC10916998 DOI: 10.1002/alz.13492] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/05/2023] [Accepted: 09/07/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND In Alzheimer's disease (AD) research, subjective reports of cognitive and functional decline from participant-study partner dyads is an efficient method of assessing cognitive impairment and clinical progression. METHODS Demographics and subjective cognitive/functional decline (Everyday Cognition Scale [ECog]) scores from dyads enrolled in the Brain Health Registry (BHR) Study Partner Portal were analyzed. Associations between dyad characteristics and both ECog scores and study engagement were investigated. RESULTS A total of 10,494 BHR participants (mean age = 66.9 ± 12.16 standard deviations, 67.4% female) have enrolled study partners (mean age = 64.3 ± 14.3 standard deviations, 49.3% female), including 8987 dyads with a participant 55 years of age or older. Older and more educated study partners were more likely to complete tasks and return for follow-up. Twenty-five percent to 27% of older adult participants had self and study partner-report ECog scores indicating a possible cognitive impairment. DISCUSSION The BHR Study Partner Portal is a unique digital tool for capturing dyadic data, with high impact applications in the clinical neuroscience and AD fields. Highlights The Brain Health Registry (BHR) Study Partner Portal is a novel, digital platform of >10,000 dyads. Collection of dyadic online subjective cognitive and functional data is feasible. The portal has good usability as evidenced by positive study partner feedback. The portal is a potential scalable strategy for cognitive impairment screening in older adults.
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Affiliation(s)
- Anna Aaronson
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Miriam T. Ashford
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Northern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Chengshi Jin
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Jessica Bride
- Department of Clinical Research and LeadershipSchool of Medicine and Health SciencesThe George Washington UniversityWashingtonDCUSA
| | - Josephine Decker
- Department of Clinical Research and LeadershipSchool of Medicine and Health SciencesThe George Washington UniversityWashingtonDCUSA
| | - Aaron DeNicola
- Department of Clinical Research and LeadershipSchool of Medicine and Health SciencesThe George Washington UniversityWashingtonDCUSA
| | - Robert W. Turner
- Department of Clinical Research and LeadershipSchool of Medicine and Health SciencesThe George Washington UniversityWashingtonDCUSA
| | - Catherine Conti
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Northern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Rachana Tank
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Dementia Research CentreUCL Institute of NeurologyUniversity College LondonLondonUK
| | - Diana Truran
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Northern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Monica R. Camacho
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Northern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Juliet Fockler
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Derek Flenniken
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Northern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Aaron Ulbricht
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Joshua D. Grill
- Departments of Psychiatry & Human Behavior and Neurobiology & BehaviorInstitute for Memory Impairments and Neurological DisordersUniversity of California IrvineIrvineCaliforniaUSA
| | - Gil Rabinovici
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | | | - R. Scott Mackin
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Michael W. Weiner
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of MedicineUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Rachel L. Nosheny
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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Ashford MT, Aaronson A, Kwang W, Eichenbaum J, Gummadi S, Jin C, Cashdollar N, Thorp E, Wragg E, Zavitz KH, Cormack F, Banh T, Neuhaus JM, Ulbricht A, Camacho MR, Fockler J, Flenniken D, Truran D, Mackin RS, Weiner MW, Nosheny RL. Unsupervised Online Paired Associates Learning Task from the Cambridge Neuropsychological Test Automated Battery (CANTAB®) in the Brain Health Registry. J Prev Alzheimers Dis 2024; 11:514-524. [PMID: 38374758 PMCID: PMC10879687 DOI: 10.14283/jpad.2023.117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
BACKGROUND Unsupervised online cognitive assessments have demonstrated promise as an efficient and scalable approach for evaluating cognition in aging, and Alzheimer's disease and related dementias. OBJECTIVES The aim of this study was to evaluate the feasibility, usability, and construct validity of the Paired Associates Learning task from the Cambridge Neuropsychological Test Automated Battery® in adults enrolled in the Brain Health Registry. DESIGN, SETTING, PARTICIPANTS, MEASUREMENTS The Paired Associates Learning task was administered to Brain Health Registry participants in a remote, unsupervised, online setting. In this cross-sectional analysis, we 1) evaluated construct validity by analyzing associations between Paired Associates Learning performance and additional participant registry data, including demographics, self- and study partner-reported subjective cognitive change (Everyday Cognition scale), self-reported memory concern, and depressive symptom severity (Patient Health Questionnaire-9) using multivariable linear regression models; 2) determined the predictive value of Paired Associates Learning and other registry variables for identifying participants who self-report Mild Cognitive Impairment by employing multivariable binomial logistic regressions and calculating the area under the receiver operator curve; 3) investigated feasibility by looking at task completion rates and statistically comparing characteristics of task completers and non-completers; and 4) evaluated usability in terms of participant requests for support from BHR related to the assessment. RESULTS In terms of construct validity, in participants who took the Paired Associates Learning for the first time (N=14,528), worse performance was associated with being older, being male, lower educational attainment, higher levels of self- and study partner-reported decline, more self-reported memory concerns, greater depressive symptom severity, and self-report of Mild Cognitive Impairment. Paired Associates Learning performance and Brain Health Registry variables together identified those with self-reported Mild Cognitive Impairment with moderate accuracy (areas under the curve: 0.66-0.68). In terms of feasibility, in a sub-sample of 29,176 participants who had the opportunity to complete Paired Associates Learning for the first time in the registry, 14,417 started the task. 11,647 (80.9% of those who started) completed the task. Compared to those who did not complete the task at their first opportunity, those who completed were older, had more years of education, more likely to self-identify as White, less likely to self-identify as Latino, less likely to have a subjective memory concern, and more likely to report a family history of Alzheimer's disease. In terms of usability, out of 8,395 received requests for support from BHR staff via email, 4.4% (n=374) were related to PAL. Of those, 82% were related to technical difficulties. CONCLUSIONS Our findings support moderate feasibility, good usability, and construct validity of cross-sectional Paired Associates Learning in an unsupervised online registry, but also highlight the need to make the assessment more inclusive and accessible to individuals from ethnoculturally and socioeconomically diverse communities. A future, improved version could be a scalable, efficient method to assess cognition in many different settings, including clinical trials, observational studies, healthcare, and public health.
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Affiliation(s)
- M T Ashford
- Miriam Ashford, 4150 Clement St, San Francisco, CA 94121, , Phone: +16502089267
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5
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Weiner MW, Aaronson A, Eichenbaum J, Kwang W, Ashford MT, Gummadi S, Santhakumar J, Camacho MR, Flenniken D, Fockler J, Truran-Sacrey D, Ulbricht A, Mackin RS, Nosheny RL. Brain health registry updates: An online longitudinal neuroscience platform. Alzheimers Dement 2023; 19:4935-4951. [PMID: 36965096 PMCID: PMC10518371 DOI: 10.1002/alz.13077] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/28/2023] [Accepted: 03/08/2023] [Indexed: 03/27/2023]
Abstract
INTRODUCTION Remote, internet-based methods for recruitment, screening, and longitudinally assessing older adults have the potential to facilitate Alzheimer's disease (AD) clinical trials and observational studies. METHODS The Brain Health Registry (BHR) is an online registry that includes longitudinal assessments including self- and study partner-report questionnaires and neuropsychological tests. New initiatives aim to increase inclusion and engagement of commonly underincluded communities using digital, community-engaged research strategies. New features include multilingual support and biofluid collection capabilities. RESULTS BHR includes > 100,000 participants. BHR has made over 259,000 referrals resulting in 25,997 participants enrolled in 30 aging and AD studies. In addition, 28,278 participants are coenrolled in BHR and other studies with data linkage among studies. Data have been shared with 28 investigators. Recent efforts have facilitated the enrollment and engagement of underincluded ethnocultural communities. DISCUSSION The major advantages of the BHR approach are scalability and accessibility. Challenges include compliance, retention, cohort diversity, and generalizability. HIGHLIGHTS Brain Health Registry (BHR) is an online, longitudinal platform of > 100,000 members. BHR made > 259,000 referrals, which enrolled 25,997 participants in 32 studies. New efforts increased enrollment and engagement of underincluded communities in BHR. The major advantages of the BHR approach are scalability and accessibility. BHR provides a unique adjunct for clinical neuroscience research.
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Affiliation(s)
- Michael W. Weiner
- Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
- University of California, San Francisco Department of Psychiatry and Behavioral Sciences, San Francisco, California, USA
- University of California, San Francisco Department of Medicine, San Francisco, California, USA
- University of California, San Francisco Department of Neurology, San Francisco, California, USA
| | - Anna Aaronson
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Joseph Eichenbaum
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Winnie Kwang
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Miriam T. Ashford
- Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Shilpa Gummadi
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Jessica Santhakumar
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Monica R. Camacho
- Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Derek Flenniken
- Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Juliet Fockler
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Diana Truran-Sacrey
- Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Aaron Ulbricht
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - R. Scott Mackin
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Psychiatry and Behavioral Sciences, San Francisco, California, USA
| | - Rachel L. Nosheny
- VA Advanced Research Center, San Francisco, California, USA
- University of California, San Francisco Department of Psychiatry and Behavioral Sciences, San Francisco, California, USA
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Mackin RS, Jin C, Burns E, Kassel M, Rhodes E, Nosheny R, Ashford M, Banh T, Eichenbaum J, Knight K, Tank R, Camacho MR, Fockler J, Truran D, Neuhaus J, Weiner M. Association of Major Depressive Disorder with remotely administered measures of cognition and subjective report of cognitive difficulties across the adult age spectrum. J Affect Disord 2023; 326:198-205. [PMID: 36528135 DOI: 10.1016/j.jad.2022.12.045] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 11/04/2022] [Accepted: 12/11/2022] [Indexed: 02/05/2023]
Abstract
BACKGROUND Major depressive disorder (MDD) has increasing prevalence with age. Both objective measures of cognitive dysfunction and subjective report of cognitive difficulties related to MDD are often thought to worsen with increasing age. However, few studies have directly evaluated these characteristics across the adult lifespan. METHODS Participants included 23,594 adults completing objective and subjective measures of cognition on an online research registry. Linear regression including interactions of age group with depression was used to evaluate the association of self-reported MDD with measures of cognition in three age groups: 21-40 years; 41-60 years; 61+ years. RESULTS MDD (n = 2127) demonstrated poorer objective cognitive performance and greater subjective ratings of cognitive difficulties across all domains assessed compared to non-depressed individuals (ND; n = 21,467). Significant interactions of age group and MDD status with objective and subjective measures of cognition were observed for both middle age and older adults when compared to young adults but few significant differences between middle-aged and older adults were evident. LIMITATIONS This study relied on self-report of MDD diagnosis, utilized remotely administered and unsupervised measures of cognition, and the sample was not diverse. CONCLUSIONS The magnitude of association between MDD and cognitive correlates appears to plateau in middle age. Our results suggest that increased rates of dementia are not due to greater cognitive consequence of MDD in older adults and that age effects, and not greater effects of depression, may lead to increased diagnosis of MDD based on subjective report of cognitive symptoms.
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Affiliation(s)
- R Scott Mackin
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, USA; VA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA; Mental Illness Research Education and Clinical Centers, Veterans Affairs Medical Center, San Francisco, CA, USA.
| | - Chengshi Jin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | - Emily Burns
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, USA
| | - Michelle Kassel
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, USA; Mental Illness Research Education and Clinical Centers, Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Emma Rhodes
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, USA; Mental Illness Research Education and Clinical Centers, Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Rachel Nosheny
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, USA; VA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA
| | - Miriam Ashford
- VA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA
| | - Tim Banh
- VA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA
| | - Joseph Eichenbaum
- VA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA
| | - Kristen Knight
- VA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA
| | - Rachana Tank
- VA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA
| | - Monica R Camacho
- VA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA
| | - Juliet Fockler
- VA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA
| | - Diana Truran
- VA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA
| | - John Neuhaus
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | - Michael Weiner
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, USA; VA Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA; Department of Radiology, University of California, San Francisco, USA
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7
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Weiner MW, Veitch DP, Miller MJ, Aisen PS, Albala B, Beckett LA, Green RC, Harvey D, Jack CR, Jagust W, Landau SM, Morris JC, Nosheny R, Okonkwo OC, Perrin RJ, Petersen RC, Rivera‐Mindt M, Saykin AJ, Shaw LM, Toga AW, Tosun D, Trojanowski JQ. Increasing participant diversity in AD research: Plans for digital screening, blood testing, and a community-engaged approach in the Alzheimer's Disease Neuroimaging Initiative 4. Alzheimers Dement 2023; 19:307-317. [PMID: 36209495 PMCID: PMC10042173 DOI: 10.1002/alz.12797] [Citation(s) in RCA: 38] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 07/28/2022] [Accepted: 08/09/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION The Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to validate biomarkers for Alzheimer's disease (AD) clinical trials. To improve generalizability, ADNI4 aims to enroll 50-60% of its new participants from underrepresented populations (URPs) using new biofluid and digital technologies. ADNI4 has received funding from the National Institute on Aging beginning September 2022. METHODS ADNI4 will recruit URPs using community-engaged approaches. An online portal will screen 20,000 participants, 4000 of whom (50-60% URPs) will be tested for plasma biomarkers and APOE. From this, 500 new participants will undergo in-clinic assessment joining 500 ADNI3 rollover participants. Remaining participants (∼3500) will undergo longitudinal plasma and digital cognitive testing. ADNI4 will add MRI sequences and new PET tracers. Project 1 will optimize biomarkers in AD clinical trials. RESULTS AND DISCUSSION ADNI4 will improve generalizability of results, use remote digital and blood screening, and continue providing longitudinal clinical, biomarker, and autopsy data to investigators.
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Affiliation(s)
- Michael W. Weiner
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of MedicineUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Dallas P. Veitch
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
| | - Melanie J. Miller
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
| | - Paul S. Aisen
- Alzheimer's Therapeutic Research InstituteUniversity of Southern CaliforniaSan DiegoCaliforniaUSA
| | - Bruce Albala
- Department of NeurologyUniversity of California Irvine School of MedicineIrvineCaliforniaUSA
| | - Laurel A. Beckett
- Division of BiostatisticsDepartment of Public Health SciencesUniversity of CaliforniaDavisCaliforniaUSA
| | - Robert C. Green
- Division of GeneticsDepartment of MedicineBrigham and Women's Hospital, Broad Institute Ariadne Labs and Harvard Medical SchoolBostonMassachusettsUSA
| | - Danielle Harvey
- Division of BiostatisticsDepartment of Public Health SciencesUniversity of CaliforniaDavisCaliforniaUSA
| | | | - William Jagust
- Helen Wills Neuroscience InstituteUniversity of California BerkeleyBerkeleyCaliforniaUSA
| | - Susan M. Landau
- Helen Wills Neuroscience InstituteUniversity of California BerkeleyBerkeleyCaliforniaUSA
| | - John C. Morris
- Knight Alzheimer's Disease Research CenterWashington University School of MedicineSaint LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSaint LouisMissouriUSA
- Department of Pathology and ImmunologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Rachel Nosheny
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Ozioma C. Okonkwo
- Wisconsin Alzheimer's Disease Research Center and Department of MedicineUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Richard J. Perrin
- Knight Alzheimer's Disease Research CenterWashington University School of MedicineSaint LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSaint LouisMissouriUSA
- Department of Pathology and ImmunologyWashington University School of MedicineSaint LouisMissouriUSA
| | | | - Monica Rivera‐Mindt
- Department of PsychologyLatin American and Latino Studies Institute, & African and African American StudiesFordham UniversityNew YorkNew YorkUSA
- Department of NeurologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences and the Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisINUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine and the PENN Alzheimer's Disease Research CenterCenter for Neurodegenerative ResearchPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Arthur W. Toga
- Laboratory of Neuro ImagingInstitute of Neuroimaging and InformaticsKeck School of Medicine of University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Duygu Tosun
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - John Q. Trojanowski
- Department of Pathology and Laboratory Medicine and the PENN Alzheimer's Disease Research CenterCenter for Neurodegenerative ResearchPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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8
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Ashford MT, Zhu D, Bride J, McLean E, Aaronson A, Conti C, Cypress C, Griffin P, Ross R, Duncan T, Deng X, Ulbricht A, Fockler J, Camacho MR, Flenniken D, Truran D, Mackin SR, Hill C, Weiner MW, Byrd D, Turner Ii RW, Cham H, Rivera Mindt M, Nosheny RL. Understanding Online Registry Facilitators and Barriers Experienced by Black Brain Health Registry Participants: The Community Engaged Digital Alzheimer's Research (CEDAR) Study. J Prev Alzheimers Dis 2023; 10:551-561. [PMID: 37357297 PMCID: PMC10395260 DOI: 10.14283/jpad.2023.25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
BACKGROUND Failure of Alzheimer's disease and related diseases (ADRD) research studies to include and engage Black participants is a major issue, which limits the impact and generalizability of research findings. Little is known about participation of Black adults in online ADRD-related research registries. OBJECTIVES As part of the Community Engaged Digital Alzheimer's Research (CEDAR) Study, this study aims to increase our understanding of facilitators and barriers of Black adults to participating in ADRD-related online registries, as well as to understand their preferences for communication channels. DESIGN, SETTING, PARTICIPANTS, MEASUREMENTS We invited all Black participants enrolled in the Brain Health Registry (BHR) to complete a cross-sectional online survey. The survey consisted of rating scales and open-text questions asking about their attitudes towards brain health research, reasons for joining and continuing to participate in BHR, difficulties with participating, and preferences for modes of contact and website usage. RESULTS Of all invited Black BHR participants (N=3,636), 198 (5.5%) completed the survey. The mean age was 58.4 (SD=11.3), mean years of education were 16.3 (SD=2.4), and 85.5% identified as female. Reported facilitators for joining and continuing to participate in BHR were personal interest (e.g., learning more about own brain health) and altruism (e.g., helping research). Among additional registry features which could encourage return, receiving feedback or scores about BHR tasks was rated the highest. Of those who found BHR participation difficult (21%), the most frequent reason was time burden. The most preferred way of receiving study information was via email. Participants reported that the websites that they used the most were YouTube and Facebook. DISCUSSION The results of our study can inform the development of culturally-responsive registry features and engagement efforts to improve inclusion and participation of Black adults in online ADRD research. Providing participants with feedback about their registry performance and reducing the number of registry tasks are among the recommended strategies.
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Affiliation(s)
- M T Ashford
- Miriam Ashford, 4150 Clement St, San Francisco, CA 94121, , Phone: (415) 750-6954, Fax number: (415) 750-9358
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9
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Mindt MR, Ashford MT, Zhu D, Cham H, Aaronson A, Conti C, Deng X, Alaniz R, Sorce J, Cypress C, Griffin P, Flenniken D, Camacho M, Fockler J, Truran D, Mackin RS, Hill C, Weiner MW, Byrd D, Turner Ii RW, Nosheny RL. The Community Engaged Digital Alzheimer's Research (CEDAR) Study: A Digital Intervention to Increase Research Participation of Black American Participants in the Brain Health Registry. J Prev Alzheimers Dis 2023; 10:847-856. [PMID: 37874107 PMCID: PMC10598330 DOI: 10.14283/jpad.2023.32] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
BACKGROUND Although Black/African American older adults bear significant inequities in prevalence, incidence, and outcomes of Alzheimer's disease and related dementias, they are profoundly under-included in Alzheimer's Disease research. Community-Engaged Research (e.g., equitable community/science partnerships) is an evidence-based approach for improving engagement of underrepresented populations into Alzheimer's Disease research, but has lacked scalability to the national level. As internet use among older adults from underrepresented populations continues to grow, internet-based research shows promise as a feasible, valid approach to engagement and longitudinal assessment. The Community Engaged Digital Alzheimer's Research (CEDAR) study utilizes a community-engaged research approach to increase the engagement and research participation of Black/African American adults in the Brain Health Registry (BHR) and Alzheimer Disease clinical research. OBJECTIVES To describe the methods and evaluate the feasibility of the CEDAR culturally-informed digital platform within BHR. DESIGN All Black/African American participants in BHR were invited to enroll in CEDAR and to consider serving on a newly convened Community-Scientific Partnership Board to guide the study. The community board guided the development a culturally-informed cadre of engagement materials and strategies to increase research participation. Engagement strategies included incentives for study task completion, culturally-informed communications (e.g., landing page, emails and social media), resources about brain health, and video and written testimonials by CEDAR participants. SETTING BHR, an Internet-based registry and cohort. PARTICIPANTS BHR participants self-identifying as Black/African American were invited to enroll. All participants who signed an online informed consent document were enrolled. MEASUREMENTS We report the number of participants invited, enrolled, completed tasks, and volunteered to join the community board. We compared the demographics, cognitive profile, and baseline BHR task completion rates between CEDAR participants and all those invited to join the study. RESULTS Of 3738 invited, 349 (9.34%) enrolled in CEDAR. 134 (37% of CEDAR participants) volunteered to join the community board, of which 19 were selected for the community board. Compared to those invited, the CEDAR cohort had a higher percentage of female participants (84.5%) and a lower percentage of participants who identify as belonging to more than one ethnocultural group (21.8%). Compared to those did not enroll in CEDAR, those enrolled in CEDAR had a higher percentage of participants completing all BHR tasks (22%) and a higher percentage of participants completing at least one cognitive test (76%). Those enrolled in CEDAR also had a higher percentage of participants having an enrolled study partner (18%). CONCLUSIONS A culturally-informed Community-Engaged Research approach, including a remotely-convened community board, to engagement of Black/African American participants in an online research registry is feasible. This approach can be adapted for use in various clinical studies and other settings. Future studies will evaluate the effectiveness of the engagement strategies.
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Affiliation(s)
- M R Mindt
- Rachel Nosheny, 4150 Clement Street, 114M, San Francisco, CA. 94121, USA, Telephone: 415-221-4810, Email address: Fax number: 415-221-4810
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10
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Fockler J, Ashford MT, Eichenbaum J, Howell T, Ekanem A, Flenniken D, Happ A, Truran D, Mackin RS, Blennow K, Halperin E, Coppola G, Weiner MW, Nosheny RL. Remote blood collection from older adults in the Brain Health Registry for plasma biomarker and genetic analysis. Alzheimers Dement 2022; 18:2627-2636. [PMID: 35226409 PMCID: PMC9998146 DOI: 10.1002/alz.12617] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 01/07/2022] [Accepted: 01/11/2022] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Use of online registries to efficiently identify older adults with cognitive decline and Alzheimer's disease (AD) is an approach with growing evidence for feasibility and validity. Linked biomarker and registry data can facilitate AD clinical research. METHODS We collected blood for plasma biomarker and genetic analysis from older adult Brain Health Registry (BHR) participants, evaluated feasibility, and estimated associations between demographic variables and study participation. RESULTS Of 7150 participants invited to the study, 864 (12%) enrolled and 629 (73%) completed remote blood draws. Participants reported high study acceptability. Those from underrepresented ethnocultural and educational groups were less likely to participate. DISCUSSION This study demonstrates the challenges of remote blood collection from a large representative sample of older adults. Remote blood collection from > 600 participants within a short timeframe demonstrates the feasibility of our approach, which can be expanded for efficient collection of plasma AD biomarker and genetic data.
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Affiliation(s)
- Juliet Fockler
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Miriam T. Ashford
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Joseph Eichenbaum
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Taylor Howell
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Aniekan Ekanem
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Derek Flenniken
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Alexander Happ
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - Diana Truran
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
| | - R. Scott Mackin
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of PsychiatryUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Kaj Blennow
- Institute of Neuroscience and PhysiologyDepartment of Psychiatry and NeurochemistryUniversity of GothenburgMölndalSweden
| | - Eran Halperin
- Department of Computer ScienceUniversity of California, Los AngelesLos AngelesCaliforniaUSA
| | | | - Michael W. Weiner
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of Radiology and Biomedical ImagingUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Rachel L. Nosheny
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of PsychiatryUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
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11
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Nosheny RL, Amariglio R, Sikkes SA, Van Hulle C, Bicalho MAC, Dowling NM, Brucki SMD, Ismail Z, Kasuga K, Kuhn E, Numbers K, Aaronson A, Moretti DV, Pereiro AX, Sánchez‐Benavides G, Sellek Rodríguez AF, Urwyler P, Zawaly K. The role of dyadic cognitive report and subjective cognitive decline in early ADRD clinical research and trials: Current knowledge, gaps, and recommendations. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2022; 8:e12357. [PMID: 36226046 PMCID: PMC9530696 DOI: 10.1002/trc2.12357] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/05/2022] [Accepted: 08/22/2022] [Indexed: 11/05/2022]
Abstract
Efficient identification of cognitive decline and Alzheimer's disease (AD) risk in early stages of the AD disease continuum is a critical unmet need. Subjective cognitive decline is increasingly recognized as an early symptomatic stage of AD. Dyadic cognitive report, including subjective cognitive complaints (SCC) from a participant and an informant/study partner who knows the participant well, represents an accurate, reliable, and efficient source of data for assessing risk. However, the separate and combined contributions of self- and study partner report, and the dynamic relationship between the two, remains unclear. The Subjective Cognitive Decline Professional Interest Area within the Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment convened a working group focused on dyadic patterns of subjective report. Group members identified aspects of dyadic-report information important to the AD research field, gaps in knowledge, and recommendations. By reviewing existing data on this topic, we found evidence that dyadic measures are associated with objective measures of cognition and provide unique information in preclinical and prodromal AD about disease stage and progression and AD biomarker status. External factors including dyad (participant-study partner pair) relationship and sociocultural factors contribute to these associations. We recommend greater dyad report use in research settings to identify AD risk. Priority areas for future research include (1) elucidation of the contributions of demographic and sociocultural factors, dyad type, and dyad relationship to dyad report; (2) exploration of agreement and discordance between self- and study partner report across the AD syndromic and disease continuum; (3) identification of domains (e.g., memory, executive function, neuropsychiatric) that predict AD risk outcomes and differentiate cognitive impairment due to AD from other impairment; (4) development of best practices for study partner engagement; (5) exploration of study partner report as AD clinical trial endpoints; (6) continued development, validation, and optimization, of study partner report instruments tailored to the goals of the research and population.
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Affiliation(s)
- Rachel L. Nosheny
- University of California San FranciscoDepartment of PsychiatrySan FranciscoCaliforniaUSA
- Veteran's Administration Advanced Research CenterSan FranciscoCaliforniaUSA
| | - Rebecca Amariglio
- Center for Alzheimer Research and TreatmentDepartment of NeurologyBrigham and Women's HospitalDepartment of Neurology Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Sietske A.M. Sikkes
- Amsterdam University Medical CentersDepartment of NeurologyAlzheimer Center AmsterdamNorth Hollandthe Netherlands/VU UniversityDepartment of ClinicalNeuro & Development PsychologyNorth Hollandthe Netherlands
| | - Carol Van Hulle
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Maria Aparecida Camargos Bicalho
- UFMG: Federal University of Minas GeraisDepartment of Clinical MedicineJenny de Andrade Faria – Center for Geriatrics and Gerontology of UFMGBelo HorizonteBrazil
| | - N. Maritza Dowling
- George Washington UniversityDepartment of Acute & Chronic CareSchool of NursingDepartment of Epidemiology & BiostatisticsMilken Institute School of Public HealthWashingtonDistrict of ColumbiaUSA
| | | | - Zahinoor Ismail
- Hotchkiss Brain Institute and O'Brien Institute for Public HealthCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | - Kensaku Kasuga
- Department of Molecular GeneticsBrain Research InstituteNiigata UniversityNiigataJapan
| | - Elizabeth Kuhn
- UNICAEN, INSERM, PhIND “Physiopathology and Imaging of Neurological Disorders,”Institut Blood and Brain @ Caen‐NormandieNormandie UniversityCaenFrance
| | - Katya Numbers
- Centre for Healthy Brain Ageing (CHeBA)Department of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Anna Aaronson
- Veteran's Administration Advanced Research CenterSan FranciscoCaliforniaUSA
| | - Davide Vito Moretti
- IRCCS Istituto Centro San Giovanni di Dio FatebenefratelliAlzheimer Rehabilitation Operative UnitBresciaItaly
| | - Arturo X. Pereiro
- Faculty of PsychologyDepartment of Developmental PsychologyUniversity of Santiago de CompostelaGaliciaSpain
| | | | - Allis F. Sellek Rodríguez
- Costa Rican Foundation for the Care of Older Adults with Alzheimer's and Other Dementias (FundAlzheimer Costa Rica)CartagoCosta Rica
| | - Prabitha Urwyler
- ARTORG Center for Biomedical EngineeringUniversity of BernUniversity Neurorehabilitation UnitDepartment of NeurologyInselspitalBernSwitzerland
| | - Kristina Zawaly
- University of AucklandDepartment of General Practice and Primary Health CareSchool of Population HealthFaculty of Medical and Health SciencesAucklandNew Zealand
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12
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Ashford MT, Camacho MR, Jin C, Eichenbaum J, Ulbricht A, Alaniz R, Van De Mortel L, Sorce J, Aaronson A, Parmar S, Flenniken D, Fockler J, Truran D, Mackin RS, Rivera Mindt M, Morlett-Paredes A, González HM, Mayeda ER, Weiner MW, Nosheny RL. Digital culturally tailored marketing for enrolling Latino participants in a web-based registry: Baseline metrics from the Brain Health Registry. Alzheimers Dement 2022; 19:1714-1728. [PMID: 36193827 PMCID: PMC10070578 DOI: 10.1002/alz.12805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 06/20/2022] [Accepted: 07/22/2022] [Indexed: 11/09/2022]
Abstract
INTRODUCTION This culturally tailored enrollment effort aims to determine the feasibility of enrolling 5000 older Latino adults from California into the Brain Health Registries (BHR) over 2.25 years. METHODS This paper describes (1) the development and deployment of culturally tailored BHR websites and digital ads, in collaboration with a Latino community science partnership board and a marketing company; (2) an interim feasibility analysis of the enrollment efforts and numbers, and participant characteristics (primary aim); as well as (3) an exploration of module completion and a preliminary efficacy evaluation of the culturally tailored digital efforts compared to BHR's standard non-culturally tailored efforts (secondary aim). RESULTS In 12.5 months, 3603 older Latino adults were enrolled (71% of the total California Latino BHR initiative enrollment goal). Completion of all BHR modules was low (6%). DISCUSSION Targeted ad placement, culturally tailored enrollment messaging, and culturally tailored BHR websites increased enrollment of Latino participants in BHR, but did not translate to increased module completion. HIGHLIGHTS Culturally tailored social marketing and website improvements were implemented. The efforts enrolled 5662 Latino individuals in 12.5 months. The number of Latino Brain Health Registry (BHR) participants increased by 122.7%. We failed to adequately enroll female Latinos and Latinos with lower education. Future work will evaluate effects of a newly released Spanish-language BHR website.
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Affiliation(s)
- Miriam T Ashford
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
| | - Monica R Camacho
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
| | - Chengshi Jin
- University of California San Francisco, Department of Epidemiology and Biostatistics, San Francisco, California, USA
| | - Joseph Eichenbaum
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Aaron Ulbricht
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | | | | | | | - Anna Aaronson
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
| | - Shivam Parmar
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Derek Flenniken
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
| | - Juliet Fockler
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA
| | - Diana Truran
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA
| | - R Scott Mackin
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,Department of Psychiatry, University of California San Francisco, San Francisco, California, USA
| | - Monica Rivera Mindt
- Psychology & Latin American Latino Studies Institute, Fordham University, Joint Appointment in Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Alejandra Morlett-Paredes
- University of California, San Diego, Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Research Center in the School of Medicine, San Diego, California, USA
| | - Hector M González
- University of California, San Diego, Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Research Center in the School of Medicine, San Diego, California, USA
| | - Elizabeth Rose Mayeda
- University of California, Los Angeles, Department of Epidemiology, Los Angeles, California, USA
| | - Michael W Weiner
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,Northern California Institute for Research and Education (NCIRE), Department of Veterans Affairs Medical Center, San Francisco, California, USA.,University of California, San Francisco Department of Radiology and Biomedical Imaging, San Francisco, California, USA.,Department of Neurology, University of California San Francisco, San Francisco, California, USA.,Department of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Rachel L Nosheny
- VA, Advanced Imaging Research Center, San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,Department of Psychiatry, University of California San Francisco, San Francisco, California, USA
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13
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Lombardi A, Diacono D, Amoroso N, Biecek P, Monaco A, Bellantuono L, Pantaleo E, Logroscino G, De Blasi R, Tangaro S, Bellotti R. A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease. Brain Inform 2022; 9:17. [PMID: 35882684 PMCID: PMC9325942 DOI: 10.1186/s40708-022-00165-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 07/03/2022] [Indexed: 11/11/2022] Open
Abstract
In clinical practice, several standardized neuropsychological tests have been designed to assess and monitor the neurocognitive status of patients with neurodegenerative diseases such as Alzheimer's disease. Important research efforts have been devoted so far to the development of multivariate machine learning models that combine the different test indexes to predict the diagnosis and prognosis of cognitive decline with remarkable results. However, less attention has been devoted to the explainability of these models. In this work, we present a robust framework to (i) perform a threefold classification between healthy control subjects, individuals with cognitive impairment, and subjects with dementia using different cognitive indexes and (ii) analyze the variability of the explainability SHAP values associated with the decisions taken by the predictive models. We demonstrate that the SHAP values can accurately characterize how each index affects a patient's cognitive status. Furthermore, we show that a longitudinal analysis of SHAP values can provide effective information on Alzheimer's disease progression.
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Affiliation(s)
- Angela Lombardi
- Dipartimento di Fisica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
| | - Domenico Diacono
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
| | - Nicola Amoroso
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
- Dipartimento di Farmacia - Scienze del Farmaco, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Przemysław Biecek
- Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
- Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland
| | - Alfonso Monaco
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
| | - Loredana Bellantuono
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
- Dipartimento di Scienze mediche di base, Neuroscienze e Organi di senso, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Ester Pantaleo
- Dipartimento di Fisica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
| | - Giancarlo Logroscino
- Dipartimento di Scienze mediche di base, Neuroscienze e Organi di senso, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Pia Fondazione “Card. G. Panico”, Tricase, Italy
| | | | - Sabina Tangaro
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
- Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Roberto Bellotti
- Dipartimento di Fisica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
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14
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Howell T, Gummadi S, Bui C, Santhakumar J, Knight K, Roberson ED, Marson D, Chambless C, Gersteneker A, Martin R, Kennedy R, Zhang Y, Morris JC, Moulder KL, Mayo C, Carroll M, Li Y, Petersen RC, Stricker NH, Nosheny RL, Mackin S, Weiner MW. Development and implementation of an electronic Clinical Dementia Rating and Financial Capacity Instrument-Short Form. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12331. [PMID: 35898521 PMCID: PMC9309008 DOI: 10.1002/dad2.12331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 05/10/2022] [Indexed: 06/15/2023]
Abstract
Introduction To address the need for remote assessments of cognitive decline and dementia, we developed and administered electronic versions of the Clinical Dementia Rating (CDR®) and the Financial Capacity Instrument-Short Form (FCI-SF) (F-CAP®), called the eCDR and eFCI, respectively. Methods The CDR and FCI-SF were adapted for remote, unsupervised, online use based on item response analysis of the standard instruments. Participants completed the eCDR and eFCI first in clinic, and then at home within 2 weeks. Results Of the 243 enrolled participants, 179 (73%) cognitively unimpaired (CU), 50 (21%) with mild cognitive impairment (MCI) or dementia, and 14 (6%) with an unknown diagnosis, 84% and 85% of them successfully completed the eCDR and eFCI, respectively, at home. Discussion These results show initial feasibility in developing and administering online instruments to remotely assess and monitor cognitive decline along the CU to MCI/very mild dementia continuum. Validation is an important next step.
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Affiliation(s)
- Taylor Howell
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
| | - Shilpa Gummadi
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
| | - Chau Bui
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
| | - Jessica Santhakumar
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
| | - Kristen Knight
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
| | - Erik D. Roberson
- Alzheimer's Disease CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Department of NeurologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Daniel Marson
- Alzheimer's Disease CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Department of NeurologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Carol Chambless
- Alzheimer's Disease CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Department of NeurologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Adam Gersteneker
- Department of NeurologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Roy Martin
- Department of NeurologyUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Richard Kennedy
- Alzheimer's Disease CenterUniversity of Alabama at BirminghamBirminghamAlabamaUSA
- Division of Gerontology, Geriatrics, and Palliative CareDepartment of MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Yue Zhang
- Division of Gerontology, Geriatrics, and Palliative CareDepartment of MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - John C. Morris
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Krista L. Moulder
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Connie Mayo
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Maria Carroll
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Yan Li
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | | | - Nikki H. Stricker
- Mayo ClinicDepartment of Psychiatry and PsychologyRochesterMinnesotaUSA
| | - Rachel L. Nosheny
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Scott Mackin
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
- San Francisco Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Michael W. Weiner
- San Francisco Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- VA Advanced Imaging Research CenterSan Francisco Veteran's Administration Medical CenterSan FranciscoCaliforniaUSA
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15
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Howell T, Neuhaus J, Glymour MM, Weiner MW, Nosheny RL. Validity of Online Versus In-Clinic Self-Reported Everyday Cognition Scale. J Prev Alzheimers Dis 2022; 9:269-276. [PMID: 35543000 PMCID: PMC9881822 DOI: 10.14283/jpad.2022.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Online cognitive assessments are alternatives to in-clinic assessments. OBJECTIVES We evaluated the relationship between online and in-clinic self-reported Everyday Cognition Scale (ECog). METHODS In 94 Alzheimer's Disease Neuroimaging Initiative and Brain Health Registry (ADNI-BHR) participants, we estimated associations between online and in-clinic Everyday Cognition using Bland-Altman plots and regression. In 472 ADNI participants, we estimated reliability of in-clinic Everyday Cognition completed six months apart using Bland-Altman plots and regression. RESULTS Online Everyday Cognition associations: Mean difference was 0.11 (95% limits of agreement: -0.41 to 0.64). In-clinic Everyday Cognition score increased by 0.81 for each online Everyday Cognition score unit increase (R2=0.60). In-clinic Everyday Cognition reliability: Mean difference was 0.01 (95% limits of agreement: -0.61 to 0.62). In-clinic Everyday Cognition score at enrollment increased by 0.79 for each in-clinic Everyday Cognition score unit increase at six months (R2=0.61). CONCLUSION Online Everyday Cognition closely corresponded with in-clinic Everyday Cognition, supporting validity of using online cognitive assessments to more efficiently facilitate Alzheimer's disease research.
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Affiliation(s)
- Taylor Howell
- University of California San Francisco Department of Epidemiology & Biostatistics, San Francisco, CA, 94158, USA,San Francisco Veteran’s Administration Medical Center, San Francisco, CA, 94121, USA,University of California San Francisco Department of Radiology and Biomedical Imaging, San Francisco, CA, 94143, USA,Corresponding author: Taylor Howell, , Mailing Address: 4150 Clement Street, Mail Stop: #114M Building 13 San Francisco, California 94121, Telephone: 415-221-4810 x24222
| | - John Neuhaus
- University of California San Francisco Department of Epidemiology & Biostatistics, San Francisco, CA, 94158, USA
| | - M. Maria Glymour
- University of California San Francisco Department of Epidemiology & Biostatistics, San Francisco, CA, 94158, USA
| | - Michael W Weiner
- San Francisco Veteran’s Administration Medical Center, San Francisco, CA, 94121, USA,University of California San Francisco Department of Radiology and Biomedical Imaging, San Francisco, CA, 94143, USA
| | - Rachel L Nosheny
- San Francisco Veteran’s Administration Medical Center, San Francisco, CA, 94121, USA,University of California San Francisco Department of Psychiatry, San Francisco, CA, 94143, USA
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Dubbelman MA, Sanchez J, Schultz AP, Rentz DM, Amariglio RE, Sikkes SAM, Sperling RA, Johnson KA, Marshall GA. Everyday Functioning and Entorhinal and Inferior Temporal Tau Burden in Cognitively Normal Older Adults. J Prev Alzheimers Dis 2022; 9:801-808. [PMID: 36281685 PMCID: PMC10308613 DOI: 10.14283/jpad.2022.58] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
BACKGROUND Performance of cognitively complex "instrumental activities of daily living" (IADL) has previously been related to amyloid deposition in preclinical Alzheimer's disease. OBJECTIVES We aimed to investigate the relationship between IADL performance and cerebral tau accumulation in cognitively normal older adults. DESIGN Cross-sectional. SETTING Data was collected in the Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) studies. PARTICIPANTS Participants (n = 447, age 71.9±4.9 years, 57.5% female) who underwent tau positron emission tomography were selected from the A4 and LEARN studies. MEASUREMENTS IADL performance was measured using the self- and study partner-reported versions of the Alzheimer's Disease Cooperative Study Activities of Daily Living - Prevention Instrument (ADCS ADL-PI). We also investigated discordance between participants and their study partners. Cross-sectional associations between entorhinal and inferior temporal tau (independent variables) and ADCS ADL-PI total scores, item-level scores and discordance (dependent variables) were investigated in linear and logistic regressions. Analyses were adjusted for age, sex and education and a tau by amyloid interaction was also included. RESULTS Participants and their study partners reported high levels of IADL performance. Entorhinal and inferior temporal tau were related to study partner but not to self-reported total ADCS ADL-PI scores. The association was not retained after adjustment for global cerebral amyloid burden. At the item level, greater entorhinal tau was associated with study partner-reported difficulties remembering important dates (odds ratio (OR) = 1.24, 95% confidence interval (95%CI) = [1.06, 1.45], p = 0.008) and difficulties remembering the details of TV programs and movies (OR = 1.32, 95%CI = [1.08, 1.61], p = 0.007). Greater inferior temporal tau was associated with self-reported difficulties managing to find personal belongings (OR = 1.23, 95%CI = [1.04, 1.46], p = 0.018) and study partner-reported difficulties remembering the details of TV programs and movies (OR = 1.39, 95%CI = [1.11, 1.75], p = 0.005). Discordance between participant and study partner-report was more likely with greater entorhinal (OR = 1.18, 95%CI = [1.05, 1.33], p = 0.005) and inferior temporal tau burden (OR = 1.29, 95%CI = [1.10, 1.51], p = 0.002). DISCUSSION We found a cross-sectional relationship between study partner-reported everyday functioning and tau in cognitively normal older adults. Participants were more likely to self-report difficulties differently from their study partners when tau burden was higher. This may hint at an altered early-disease awareness of functional changes and underscores the importance of self-report of IADL functioning in addition to collateral report by a study partner.
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Affiliation(s)
- M A Dubbelman
- Gad A. Marshall, MD, Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, 60 Fenwood Road, 9016P, Boston, MA 02115, P: 617-732-8085, F: 617-264-6831, E:
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17
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Albright J, Ashford MT, Jin C, Neuhaus J, Rabinovici GD, Truran D, Maruff P, Mackin RS, Nosheny RL, Weiner MW. Machine learning approaches to predicting amyloid status using data from an online research and recruitment registry: The Brain Health Registry. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12207. [PMID: 34136635 PMCID: PMC8190559 DOI: 10.1002/dad2.12207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 05/11/2021] [Indexed: 12/16/2022]
Abstract
INTRODUCTION This study investigated the extent to which subjective and objective data from an online registry can be analyzed using machine learning methodologies to predict the current brain amyloid beta (Aβ) status of registry participants. METHODS We developed and optimized machine learning models using data from up to 664 registry participants. Models were assessed on their ability to predict Aβ positivity using the results of positron emission tomography as ground truth. RESULTS Study partner-assessed Everyday Cognition score was preferentially selected for inclusion in the models by a feature selection algorithm during optimization. DISCUSSION Our results suggest that inclusion of study partner assessments would increase the ability of machine learning models to predict Aβ positivity.
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Affiliation(s)
| | - Miriam T. Ashford
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - Chengshi Jin
- University of California San Francisco Department of Epidemiology and BiostatisticsSan FranciscoCaliforniaUSA
| | - John Neuhaus
- University of California San Francisco Department of Epidemiology and BiostatisticsSan FranciscoCaliforniaUSA
| | - Gil D. Rabinovici
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Diana Truran
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | | | - R. Scott Mackin
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Rachel L. Nosheny
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Michael W. Weiner
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of MedicineUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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18
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Fockler J, Kwang W, Ashford MT, Flenniken D, Hwang J, Truran D, Mackin RS, Jin C, O'Hara R, Hallmayer JF, Yesavage JA, Weiner MW, Nosheny RL. Brain health registry GenePool study: A novel approach to online genetics research. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2021; 7:e12118. [PMID: 33614891 PMCID: PMC7882536 DOI: 10.1002/trc2.12118] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 10/07/2020] [Accepted: 11/04/2020] [Indexed: 12/29/2022]
Abstract
Introduction Remote data collection, including the establishment of online registries, is a novel approach to efficiently identify risk for cognitive decline and Alzheimer's disease (AD) in older adults, with growing evidence for feasibility and validity. Addition of genetic data to online registries has the potential to facilitate identification of older adults at risk and to advance the understanding of genetic contributions to AD. Methods 573 older adult participants with longitudinal online Brain Health Registry (BHR) data underwent apolipoprotein E (APOE) genotyping using remotely collected saliva samples and a novel, automated Biofluid Collection Management Portal. We evaluated acceptability of genetic sample collection and estimated associations between (1) sociodemographic variables and willingness to participate in genetics research and (2) APOE results and online cognitive and functional assessments. We also assessed acceptance of hypothetical genetics research participation by surveying a larger sample of 25,888 BHR participants. Results 51% of invited participants enrolled in the BHR genetics study, BHR‐GenePool Study (BHR‐GPS); 27% of participants had at least one APOE ε4 allele. Older participants and those with higher educational attainment were more likely to participate. In the remotely administered Cogstate Brief Battery, APOE ε4/ε4 homozygotes (HM) had worse online learning scores, and greater decline in processing speed and attention, compared to ε3/ε4 heterozygotes (HT) and ε4 non‐carriers (NC). Discussion APOE genotyping of more than 500 older adults enrolled in BHR supports the feasibility and validity of a novel, remote biofluids collection approach from a large cohort of older adults, with data linkage to longitudinal online cognitive data. This approach can be expanded for efficient collection of genetic data and other information from biofluids in the future.
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Affiliation(s)
- Juliet Fockler
- VA Advanced Imaging Research Center San Francisco Veteran's Administration Medical Center San Francisco California USA.,San Francisco Department of Radiology and Biomedical Imaging University of California, San Francisco San Francisco California USA
| | - Winnie Kwang
- VA Advanced Imaging Research Center San Francisco Veteran's Administration Medical Center San Francisco California USA.,San Francisco Department of Radiology and Biomedical Imaging University of California, San Francisco San Francisco California USA
| | - Miriam T Ashford
- VA Advanced Imaging Research Center San Francisco Veteran's Administration Medical Center San Francisco California USA.,San Francisco Department of Radiology and Biomedical Imaging University of California, San Francisco San Francisco California USA
| | - Derek Flenniken
- VA Advanced Imaging Research Center San Francisco Veteran's Administration Medical Center San Francisco California USA.,San Francisco Department of Radiology and Biomedical Imaging University of California, San Francisco San Francisco California USA
| | - Joshua Hwang
- VA Advanced Imaging Research Center San Francisco Veteran's Administration Medical Center San Francisco California USA.,San Francisco Department of Radiology and Biomedical Imaging University of California, San Francisco San Francisco California USA
| | - Diana Truran
- VA Advanced Imaging Research Center San Francisco Veteran's Administration Medical Center San Francisco California USA.,San Francisco Department of Radiology and Biomedical Imaging University of California, San Francisco San Francisco California USA
| | - R Scott Mackin
- VA Advanced Imaging Research Center San Francisco Veteran's Administration Medical Center San Francisco California USA.,San Francisco Department of Psychiatry University of California, San Francisco San Francisco California USA
| | - Chengshi Jin
- San Francisco Department of Biostatistics and Epidemiology University of California, San Francisco San Francisco California USA
| | - Ruth O'Hara
- Department of Psychiatry and Behavioral Sciences Stanford University Stanford California USA
| | - Joachim F Hallmayer
- Department of Psychiatry and Behavioral Sciences Stanford University Stanford California USA
| | - Jerome A Yesavage
- Department of Psychiatry and Behavioral Sciences Stanford University Stanford California USA
| | - Michael W Weiner
- VA Advanced Imaging Research Center San Francisco Veteran's Administration Medical Center San Francisco California USA.,San Francisco Department of Radiology and Biomedical Imaging University of California, San Francisco San Francisco California USA
| | - Rachel L Nosheny
- VA Advanced Imaging Research Center San Francisco Veteran's Administration Medical Center San Francisco California USA.,San Francisco Department of Psychiatry University of California, San Francisco San Francisco California USA
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19
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Brooker H, Williams G, Hampshire A, Corbett A, Aarsland D, Cummings J, Molinuevo JL, Atri A, Ismail Z, Creese B, Fladby T, Thim-Hansen C, Wesnes K, Ballard C. FLAME: A computerized neuropsychological composite for trials in early dementia. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2020; 12:e12098. [PMID: 33088895 PMCID: PMC7560493 DOI: 10.1002/dad2.12098] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 07/30/2020] [Indexed: 11/13/2022]
Abstract
Introduction Sensitive neuropsychological tests are needed to improve power for clinical trials in early Alzheimer's disease (AD). Methods To develop a neuropsychological composite (FLAME – Factors of Longitudinal Attention, Memory and Executive Function), we assessed, 10,714 participants over the age of 50 from PROTECT with validated computerized assessments for 2 years. A factorial analysis was completed to identify the key cognitive factors in all participants, and further analyses examined sensitivity to change in people with stage 2/3 early Alzheimer's disease (AD) according to the US Food and Drug Administration (FDA) framework. Results The FLAME composite score (speed of attention, accuracy of attention, memory, and executive function) distinguished between normal cognition and stage 2/3 early AD at baseline, and was sensitive to cognitive and global/functional decline over 2 years, with the potential to improve power for clinical trials. Discussion FLAME is sensitive to change, providing a straightforward approach to reduce sample size for RCTs in early AD. Conclusion FLAME is a useful computerized neuropsychology composite with utility for clinical trials focusing on cognition.
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Affiliation(s)
- Helen Brooker
- St Lukes Campus The University of Exeter Medical School Exeter UK
| | - Gareth Williams
- Department of Old Age Psychiatry Institute of Psychiatry, Psychology & Neuroscience King's College London Maurice Wohl Clinical Neuroscience Institute London UK
| | - Adam Hampshire
- Division of Brain Sciences, & Dementia Research Institute Care Research & Technology Centre Imperial College London London UK
| | - Anne Corbett
- St Lukes Campus The University of Exeter Medical School Exeter UK
| | - Dag Aarsland
- Department of Old Age Psychiatry Institute of Psychiatry, Psychology & Neuroscience King's College London Maurice Wohl Clinical Neuroscience Institute London UK
| | - Jeffrey Cummings
- Department of Brain Health Cleveland Clinic Lou Ruvo Center for Brain Health University of Nevada Las Vegas Las Vegas Nevada USA
| | - Jose Luis Molinuevo
- BarcelonaBeta Brain Research Center Hospital Clinic Pasqual Maragall Foundation and Alzheimer's Disease and Other Cognitive Disorders Unit Barcelona Spain
| | - Alireza Atri
- Banner Sun Health Research Institute (Arizona) & Harvard Medical School (Massachusetts) USA
| | - Zahinoor Ismail
- St Lukes Campus The University of Exeter Medical School Exeter UK.,Department of Psychiatry Clinical Neurosciences, and Community Health Sciences Hotchkiss Brain Institute University of Calgary Canada
| | - Byron Creese
- St Lukes Campus The University of Exeter Medical School Exeter UK
| | | | | | - Keith Wesnes
- St Lukes Campus The University of Exeter Medical School Exeter UK
| | - Clive Ballard
- St Lukes Campus The University of Exeter Medical School Exeter UK
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20
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Ashford MT, Neuhaus J, Jin C, Camacho MR, Fockler J, Truran D, Mackin RS, Rabinovici GD, Weiner MW, Nosheny RL. Predicting amyloid status using self-report information from an online research and recruitment registry: The Brain Health Registry. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12102. [PMID: 33005723 PMCID: PMC7513627 DOI: 10.1002/dad2.12102] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 07/30/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION This study aimed to predict brain amyloid beta (Aβ) status in older adults using collected information from an online registry focused on cognitive aging. METHODS Aβ positron emission tomography (PET) was obtained from multiple in-clinic studies. Using logistic regression, we predicted Aβ using self-report variables collected in the Brain Health Registry in 634 participants, as well as a subsample (N = 533) identified as either cognitively unimpaired (CU) or mild cognitive impairment (MCI). Cross-validated area under the curve (cAUC) evaluated the predictive performance. RESULTS The best prediction model included age, sex, education, subjective memory concern, family history of Alzheimer's disease, Geriatric Depression Scale Short-Form, self-reported Everyday Cognition, and self-reported cognitive impairment. The cross-validated AUCs ranged from 0.62 to 0.66. This online model could help reduce between 15.2% and 23.7% of unnecessary Aβ PET scans in CU and MCI populations. DISUCSSION The findings suggest that a novel, online approach could aid in Aβ prediction.
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Affiliation(s)
- Miriam T. Ashford
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - John Neuhaus
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Chengshi Jin
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Monica R. Camacho
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - Juliet Fockler
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Diana Truran
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - R. Scott Mackin
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Gil D. Rabinovici
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Michael W. Weiner
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of MedicineUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Rachel L. Nosheny
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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21
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Nosheny RL, Camacho MR, Jin C, Neuhaus J, Truran D, Flenniken D, Ashford M, Carrillo MC, Fargo KN, Hendrix J, Hanna L, Rabinovici G, Maruff P, Mackin RS, Weiner MW. Validation of online functional measures in cognitively impaired older adults. Alzheimers Dement 2020; 16:1426-1437. [PMID: 32715602 DOI: 10.1002/alz.12138] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 05/22/2020] [Accepted: 06/08/2020] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Assessment of functional status is associated with risk of cognitive decline and diagnosis of dementia, and can be assessed by participants and study partners (SPs). METHODS In 770 older adults enrolled in the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS) study and the online Brain Health Registry (BHR), we estimated associations between online assessments and clinical variables related to Alzheimer's disease (AD) risk. RESULTS Worse online learning scores and SP-reported functional decline were associated with higher probability of AD dementia diagnosis and poor in-clinic cognitive assessment, and with higher odds of amyloid beta (Aβ) positivity when combined with participants' report of less decline. SP report of functional decline conferred predictive value independent of online cognitive assessments. Participants underreported decline compared to SPs. DISCUSSION The results support the validity of online assessments and their greater utilization in healthcare and research settings. Online SP-reported functional decline is an indicator of dementia and AD risk.
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Affiliation(s)
- Rachel L Nosheny
- Department of Psychiatry, University of California San Francisco, San Francisco, California, USA.,San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | - Monica R Camacho
- San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | - Chengshi Jin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - John Neuhaus
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Diana Truran
- San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | - Derek Flenniken
- San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | - Miriam Ashford
- San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | | | | | | | - Lucy Hanna
- Department of Biostatistics, Brown University, Providence, Rhode Island, USA
| | - Gil Rabinovici
- Department of Neurology, University of California San Francisco, San Francisco, California, USA.,Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | | | - R Scott Mackin
- Department of Psychiatry, University of California San Francisco, San Francisco, California, USA.,San Francisco Veteran's Administration Medical Center, San Francisco, California, USA
| | - Michael W Weiner
- San Francisco Veteran's Administration Medical Center, San Francisco, California, USA.,Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
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22
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Alosco ML, Tripodis Y, Baucom ZH, Mez J, Stein TD, Martin B, Haller O, Conneely S, McClean M, Nosheny R, Mackin S, McKee AC, Weiner MW, Stern RA. Late contributions of repetitive head impacts and TBI to depression symptoms and cognition. Neurology 2020; 95:e793-e804. [PMID: 32591472 DOI: 10.1212/wnl.0000000000010040] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 02/13/2020] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE To test the hypothesis that repetitive head impacts (RHIs), like those from contact sport play and traumatic brain injury (TBI) have long-term neuropsychiatric and cognitive consequences, we compared middle-age and older adult participants who reported a history of RHI and/or TBI with those without this history on measures of depression and cognition. METHODS This cross-sectional study included 13,323 individuals (mean age, 61.95; 72.5% female) from the Brain Health Registry who completed online assessments, including the Ohio State University TBI Identification Method, the Geriatric Depression Scale (GDS-15), and the CogState Brief Battery and Lumos Labs NeuroCognitive Performance Tests. Inverse propensity-weighted linear regressions accounting for age, sex, race/ethnicity, and education tested the effects of RHI and TBI compared to a non-RHI/TBI group. RESULTS A total of 725 participants reported RHI exposure (mostly contact sport play and abuse) and 7,277 reported TBI (n = 2,604 with loss of consciousness [LOC]). RHI (β, 1.24; 95% CI, 0.36-2.12), TBI without LOC (β, 0.43; 95% CI, 0.31-0.54), and TBI with LOC (β, 0.75; 95% CI, 0.59-0.91) corresponded to higher GDS-15 scores. While TBI with LOC had the most neuropsychological associations, TBI without LOC had a negative effect on CogState Identification (β, 0.004; 95% CI, 0.001-0.01) and CogState One Back Test (β, 0.004; 95% CI, 0.0002-0.01). RHI predicted worse CogState One Back Test scores (β, 0.02; 95% CI, -0.01 to 0.05). There were RHI × TBI interaction effects on several neuropsychological subtests, and participants who had a history of both RHI and TBI with LOC had the greatest depression symptoms and worse cognition. CONCLUSIONS RHI and TBI independently contributed to worse mid- to later-life neuropsychiatric and cognitive functioning.
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Affiliation(s)
- Michael L Alosco
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA.
| | - Yorghos Tripodis
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Zachary H Baucom
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Jesse Mez
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Thor D Stein
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Brett Martin
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Olivia Haller
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Shannon Conneely
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Michael McClean
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Rachel Nosheny
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Scott Mackin
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Ann C McKee
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Michael W Weiner
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
| | - Robert A Stern
- From the Departments of Neurology (M.L.A., J.M., O.H., S.C., A.C.M., R.A.S.), Pathology & Laboratory Medicine (T.D.S., A.C.M.), Boston University Alzheimer's Disease Center and CTE Center (Y.T., B.M.), and Departments of Neurosurgery (R.A.S.) and Anatomy and Neurobiology (R.A.S.), Boston University School of Medicine; Department of Biostatistics (Y.T., Z.H.B.), Biostatistics and Epidemiology Data Analytics Center (B.M.), and Department of Environmental Health (M.M.), Boston University School of Public Health, MA; VA Boston Healthcare System (T.D.S., A.C.M.); Department of Veterans Affairs Medical Center (T.D.S., A.C.M.), Bedford, MA; Departments of Psychiatry (R.N., S.M., M.W.W.), Radiology (M.W.W.), Biomedical Imaging (M.W.W.), Medicine (M.W.W.), and Neurology (M.W.W.), University of California, San Francisco; and Department of Veterans Affairs Medical Center (R.N., S.M., M.W.W.), Center for Imaging and Neurodegenerative Diseases, San Francisco, CA
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Ashford MT, Eichenbaum J, Williams T, Camacho MR, Fockler J, Ulbricht A, Flenniken D, Truran D, Mackin RS, Weiner MW, Nosheny RL. Effects of sex, race, ethnicity, and education on online aging research participation. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2020; 6:e12028. [PMID: 32478165 PMCID: PMC7249268 DOI: 10.1002/trc2.12028] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 04/06/2020] [Indexed: 02/06/2023]
Abstract
INTRODUCTION This study aimed to identify the relationship of sociodemographic variables with older adults participation in an online registry for recruitment and longitudinal assessment in cognitive aging. METHODS Using Brain Health Registry (BHR) data, associations between sociodemographic variables (sex, race, ethnicity, education) and registry participation outcomes (task completion, willingness to participate in future studies, referral/enrollment in other studies) were examined in adults aged 55+ (N = 35,919) using logistic regression. All models included sex, race, ethnicity, education, age, and subjective memory concern. RESULTS Non-white race, being Latino, and lower educational attainment were associated with decreased task completion and enrollment in additional studies. Results for sex were mixed. DISCUSSION The findings provide novel information about engagement in online aging-related registries, and highlight a need to develop improved engagement strategies targeting underrepresented sociodemographic groups. Increasing registry diversity will allow researchers to refer more representative populations to Alzheimer's and related dementias prevention and treatment trials.
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Affiliation(s)
- Miriam T. Ashford
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - Joseph Eichenbaum
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Tirzah Williams
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Monica R. Camacho
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - Juliet Fockler
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Aaron Ulbricht
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Derek Flenniken
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - Diana Truran
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - R. Scott Mackin
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Michael W. Weiner
- Department of Veterans Affairs Medical CenterNorthern California Institute for Research and Education (NCIRE)San FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of MedicineUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Rachel L. Nosheny
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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Hawkley L, Zheng B, Hedberg EC, Huisingh-Scheetz M, Waite L. Cognitive limitations in older adults receiving care reduces well-being among spouse caregivers. Psychol Aging 2020; 35:28-40. [PMID: 31985247 PMCID: PMC6989024 DOI: 10.1037/pag0000406] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
A large number of older adults have physical and/or cognitive challenges and require help to manage everyday activities. Many older adults receive care from a spouse. Over the long term, this has adverse consequences for caregiver health and well-being. Less is known about the outcomes associated with the early transition to becoming a spousal caregiver. Nor is it clear how mild-cognitive decline worsens caregiver outcomes. The present study uses dyadic data from 588 couples in the National Social Life, Health, and Aging Project to compare mental and social well-being in marital partners who became a spousal caregiver versus those who remained noncaregivers or became caregivers for someone other than a spouse between 2010 and 2015. Cognitive ability was assessed using a validated version of the Montreal Cognitive Assessment. Moderated Actor-Partner Independence Models revealed that becoming a caregiver was associated with an increase in perceived stress in both men and women, and an increase in anxiety among men. Partners' cognitive limitations moderated, in a dose-dependent fashion, the association between becoming a caregiver and changes in well-being. Specifically, becoming a caregiver was associated with increased support from friends for wives at lower levels of husband's cognitive ability, and with increased anxiety for husbands at lower levels of wife's cognitive ability. Associations were independent of demographic characteristics and physical limitations. We discuss the value of using population-based samples to study the transition to caregiving and implications for interventions during the early transition to a caregiving role for even modestly cognitively impaired partners. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
- Louise Hawkley
- Academic Research Centers, National Opinion Research Center (NORC) at the University of Chicago
| | - Boyan Zheng
- Academic Research Centers, National Opinion Research Center (NORC) at the University of Chicago
| | - E C Hedberg
- Academic Research Centers, National Opinion Research Center (NORC) at the University of Chicago
| | - Megan Huisingh-Scheetz
- Department of Medicine, Section of Geriatrics and Palliative Medicine, University of Chicago
| | - Linda Waite
- Department of Sociology, University of Chicago
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Naude JP, Gill S, Hu S, McGirr A, Forkert ND, Monchi O, Stys PK, Smith EE, Ismail Z. Plasma Neurofilament Light: A Marker of Neurodegeneration in Mild Behavioral Impairment. J Alzheimers Dis 2020; 76:1017-1027. [PMID: 32597801 PMCID: PMC7504997 DOI: 10.3233/jad-200011] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Assessing neuropsychiatric symptoms (NPS) in older adults is important for determining dementia risk. Mild behavioral impairment (MBI) is an at-risk state for cognitive decline and dementia, characterized by emergent NPS in later life. MBI has significantly higher dementia incidence than late life psychiatric conditions. However, its utility as a proxy for neurodegeneration has not been demonstrated. Plasma neurofilament light (NfL) is a validated biomarker of axonal damage, and has been shown to associate with hallmarks of neurodegeneration. OBJECTIVE The purpose of this investigation was to identify associations between NfL rate of change and the presence of MBI symptomatology. METHODS We evaluated the association of MBI with changes in NfL in a cohort (n = 584; MBI + n = 190, MBI- n = 394) of non-demented participants from the Alzheimer's Disease Neuroimaging Initiative. MBI was determined by transforming Neuropsychiatric Inventory Questionnaire items using a published algorithm. Change in NfL was calculated over 2 years. RESULTS Time*MBI status was the only significant interaction to predict change in NfL concentrations (F(1,574) = 4.59, p = 0.032), even after controlling for age, mild cognitive impairment, and demographics. Analyses reclassifying 64 participants with new onset MBI over 2 years similarly demonstrated greater increases in NfL (F(1,574) = 5.82, p = 0.016). CONCLUSION These findings suggest MBI is a clinical proxy of early phase neurodegeneration with putative utility in identifying those at dementia risk. MBI can be used as a case ascertainment approach to capture those at high risk for cognitive decline and dementia, and is an important construct for clinicians dealing with cognitive and neuropsychiatric symptomatology in older adults.
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Affiliation(s)
- James P. Naude
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Sascha Gill
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Sophie Hu
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Science, University of Calgary, Calgary, Alberta, Canada
| | - Alexander McGirr
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta, Canada
| | - Nils D. Forkert
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Oury Monchi
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
| | - Peter K. Stys
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Eric E. Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Zahinoor Ismail
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Science, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta, Canada
- O’Brien Institute for Public Health, University of Calgary
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Nuño MM, Gillen DL, Grill JD. Study partner types and prediction of cognitive performance: implications to preclinical Alzheimer's trials. Alzheimers Res Ther 2019; 11:92. [PMID: 31775871 PMCID: PMC6881999 DOI: 10.1186/s13195-019-0544-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 10/09/2019] [Indexed: 11/10/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) clinical trials require enrollment of a participant and a study partner, whose role includes assessing participant cognitive and functional performance. AD trials now investigate early stages of the disease, when participants are not cognitively impaired. This gives rise to the question of whether study partners or participants provide more information in these trials. METHODS We used data from the AD Cooperative Study Prevention Instrument Project (ADCS-PI) to compare participant and study partner predictions of the participant's current and future cognitive state. We used the Cognitive Function Instrument (CFI) as a measure of evaluation of the participant's cognitive status and the modified ADCS Preclinical Alzheimer's Cognitive Composite (mADCS-PACC) as an objective measure of cognition. Stratifying by cognitive status and study partner type and adjusting for other predictors of the participant's cognitive state, we used random forests along with estimated mean variable importance (eMVI) to assess how well each member of the dyad can predict cognitive state at current and later visits. We also fit linear regression models at each time point and for each scenario. RESULTS Participants were better at predicting future cognitive status compared to their study partners regardless of study partner type, though the difference between participants and partners was greatest for non-spousal dyads in the lowest-performing quartile. Cross-sectional assessments differed substantially by dyad type. Within the lowest cognitive performance quartile, participants having a non-spousal study partner outperformed their partners in assessing cognition at later times. Spousal partners, in contrast, outperformed participants later in the study in predicting current cognitive performance. CONCLUSIONS These results indicate that participants tend to be better at predicting future cognition compared to their study partners regardless of the study partner type. When assessing current cognition, however, spousal study partners perform better at later time points and non-spousal study partners do not provide as much information regarding participant cognitive state.
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Affiliation(s)
- Michelle M. Nuño
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA USA
- Department of Statistics, University of California, Irvine, Irvine, CA USA
| | - Daniel L. Gillen
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA USA
- Department of Statistics, University of California, Irvine, Irvine, CA USA
| | - Joshua D. Grill
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA USA
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA USA
| | - for the Alzheimer’s Disease Cooperative Study
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA USA
- Department of Statistics, University of California, Irvine, Irvine, CA USA
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA USA
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Nosheny RL, Jin C, Neuhaus J, Insel PS, Mackin RS, Weiner MW. Study partner-reported decline identifies cognitive decline and dementia risk. Ann Clin Transl Neurol 2019; 6:2448-2459. [PMID: 31721455 PMCID: PMC6917311 DOI: 10.1002/acn3.50938] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 09/30/2019] [Accepted: 10/16/2019] [Indexed: 12/22/2022] Open
Abstract
Objective Identifying individuals at risk for cognitive decline, Mild Cognitive Impairment (MCI), and dementia due to Alzheimer’s disease (AD) is a critical need. Functional decline is associated with risk and can be efficiently assessed by participants and study partners (SPs). We tested the hypothesis that SP‐reported functional decline is an independent predictor of dementia risk and cognitive decline. Methods In 1048 older adults in the Alzheimer’s Disease Neuroimaging Initiative (ADNI), we measured associations between Everyday Cognition Scale scores (ECog, self‐ and SP‐reported versions) and (1) baseline and longitudinal change in neuropsychological test (NPT scores) across multiple cognitive domains; (2) diagnostic conversion to MCI or dementia. Models included Mini Mental Status Exam (MMSE) score and ApoE ε4 genotype (APOE) as predictors. Model fits were compared with and without predictors of interest included. Results SP‐reported ECog was the strongest predictor of cognitive decline across multiple domains, as well as diagnostic conversion. Self‐reported ECog was associated with baseline NPT scores in some cognitive domains, and diagnostic conversion to MCI in participants with biomarker evidence for AD (elevated brain β‐amyloid, Aβ). Models including SP‐reported ECog were significantly stronger at predicting outcomes. Conclusions SP‐reported functional decline is an independent indicator of cognitive decline and dementia risk, even when accounting for cognitive screening, genetic risk, demographics, and self‐report decline. The results provide a rationale for greater utilization of SP‐reported functional decline to identify those at risk for dementia due to AD and other causes.
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Affiliation(s)
- Rachel L Nosheny
- Department of Psychiatry, University of California, San Francisco, San Francisco, California.,San Francisco Veteran's Administration Medical Center, San Francisco, California
| | - Chengshi Jin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - John Neuhaus
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Philip S Insel
- San Francisco Veteran's Administration Medical Center, San Francisco, California
| | - Robert Scott Mackin
- Department of Psychiatry, University of California, San Francisco, San Francisco, California.,San Francisco Veteran's Administration Medical Center, San Francisco, California
| | - Michael W Weiner
- San Francisco Veteran's Administration Medical Center, San Francisco, California.,Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, California
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Cummings J, Feldman HH, Scheltens P. The "rights" of precision drug development for Alzheimer's disease. Alzheimers Res Ther 2019; 11:76. [PMID: 31470905 PMCID: PMC6717388 DOI: 10.1186/s13195-019-0529-5] [Citation(s) in RCA: 128] [Impact Index Per Article: 25.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 08/13/2019] [Indexed: 01/12/2023]
Abstract
There is a high rate of failure in Alzheimer's disease (AD) drug development with 99% of trials showing no drug-placebo difference. This low rate of success delays new treatments for patients and discourages investment in AD drug development. Studies across drug development programs in multiple disorders have identified important strategies for decreasing the risk and increasing the likelihood of success in drug development programs. These experiences provide guidance for the optimization of AD drug development. The "rights" of AD drug development include the right target, right drug, right biomarker, right participant, and right trial. The right target identifies the appropriate biologic process for an AD therapeutic intervention. The right drug must have well-understood pharmacokinetic and pharmacodynamic features, ability to penetrate the blood-brain barrier, efficacy demonstrated in animals, maximum tolerated dose established in phase I, and acceptable toxicity. The right biomarkers include participant selection biomarkers, target engagement biomarkers, biomarkers supportive of disease modification, and biomarkers for side effect monitoring. The right participant hinges on the identification of the phase of AD (preclinical, prodromal, dementia). Severity of disease and drug mechanism both have a role in defining the right participant. The right trial is a well-conducted trial with appropriate clinical and biomarker outcomes collected over an appropriate period of time, powered to detect a clinically meaningful drug-placebo difference, and anticipating variability introduced by globalization. We lack understanding of some critical aspects of disease biology and drug action that may affect the success of development programs even when the "rights" are adhered to. Attention to disciplined drug development will increase the likelihood of success, decrease the risks associated with AD drug development, enhance the ability to attract investment, and make it more likely that new therapies will become available to those with or vulnerable to the emergence of AD.
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Affiliation(s)
- Jeffrey Cummings
- Department of Brain Health, School of Integrated Health Sciences, UNLV and Cleveland Clinic Lou Ruvo Center for Brain Health, 888 West Bonneville Ave, Las Vegas, NV, 89106, USA.
| | - Howard H Feldman
- Department of Neurosciences, Alzheimer's Disease Cooperative Study, University of California San Diego, San Diego, CA, USA
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Amsterdam University Medical Centers, Amsterdam, The Netherlands
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