1
|
Hrincu V, Roy KT, Robillard JM. Practical social media recommendations for dementia prevention researchers. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2024; 10:e12496. [PMID: 39144120 PMCID: PMC11322499 DOI: 10.1002/trc2.12496] [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: 04/10/2024] [Revised: 05/17/2024] [Accepted: 07/13/2024] [Indexed: 08/16/2024]
Abstract
INTRODUCTION Practical social media recommendations are needed to facilitate greater engagement in dementia prevention research. Alongside relevant experts, our aim was to develop a set of consensus recommendations that reflect the values and priorities of prospective participants to guide social media use. METHODS We conducted a three-round, modified Delphi consisting of three online surveys and three conferences calls. The diverse, international Delphi panel comprised 16 experts with lived (n = 10) and professional (n = 6) experiences. Consensus was defined a priori as ≥ 70% agreement. RESULTS Twenty-six items achieved consensus. Two items reached consensus in round 1: ethical considerations of closed social media groups (88%) and of social media users sharing prevention content with connections who are not on social media (79%). Nine items reached consensus in round 2, related to misinformation (79%), stigma (93%), and other key aspects of social media communication. After revisions, 15 items reached consensus in the final round. These items included: identifying when researchers ought to engage, managing closed social media groups, rankings of short form content, prioritizing lay summaries and multimedia resources, and rankings of preferred language. One item about the language of prevention for audiences living with dementia did not reach consensus. Final consensus items formed the new set of recommendations, which we organized into seven social media use cases. These use cases include setting up a social media page or community, handling online misinformation, actively challenging stigma, handling difficult online interactions, introducing new research to the public, help with study recruitment, and the language of prevention when writing posts. DISCUSSION These consensus recommendations can help dementia prevention researchers harness social media use for the purposes of public engagement and uphold the norms and values specific to the dementia research and broader communities. Highlights We created social media recommendations with research and community experts.Recommendations cover key ethical considerations for dementia prevention research.Areas include misinformation, stigma, information updates, and preferred language.Full consensus recommendations are organized into seven social media use cases.
Collapse
Affiliation(s)
- Viorica Hrincu
- Division of NeurologyDepartment of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Katherine T. Roy
- Division of NeurologyDepartment of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Julie M. Robillard
- Division of NeurologyDepartment of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- BC Children's and Women's HospitalVancouverBritish ColumbiaCanada
| |
Collapse
|
2
|
Jäkel L, De Kort AM, Stellingwerf A, Hernández Utrilla C, Kersten I, Vervuurt M, Vermeiren Y, Küsters B, Schreuder FHBM, Klijn CJM, Kuiperij HB, Verbeek MM. Altered brain expression and cerebrospinal fluid levels of TIMP4 in cerebral amyloid angiopathy. Acta Neuropathol Commun 2024; 12:103. [PMID: 38915119 PMCID: PMC11194996 DOI: 10.1186/s40478-024-01823-x] [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: 04/19/2024] [Accepted: 06/17/2024] [Indexed: 06/26/2024] Open
Abstract
Cerebral amyloid angiopathy (CAA) is a highly prevalent and progressive pathology, involving amyloid-β (Aβ) deposition in the cerebral blood vessel walls. CAA is associated with an increased risk for intracerebral hemorrhages (ICH). Insight into the molecular mechanisms associated with CAA pathology is urgently needed, to develop additional diagnostic tools to allow for reliable and early diagnosis of CAA and to obtain novel leads for the development of targeted therapies. Tissue inhibitor of matrix metalloproteinases 4 (TIMP4) is associated with cardiovascular functioning and disease and has been linked to vascular dementia. Using immunohistochemistry, we studied occipital brain tissue samples of 57 patients with CAA (39 without ICH and 18 with ICH) and 42 controls, and semi-quantitatively assessed expression levels of TIMP4. Patients with CAA had increased vascular expression of TIMP4 compared to controls (p < 0.001), and in these patients, TIMP4 expression correlated with CAA severity (τb = 0.38; p = 0.001). Moreover, TIMP4 expression was higher in CAA-ICH compared to CAA-non-ICH cases (p = 0.024). In a prospective cross-sectional study of 38 patients with CAA and 37 age- and sex-matched controls, we measured TIMP4 levels in cerebrospinal fluid (CSF) and serum using ELISA. Mean CSF levels of TIMP4 were decreased in patients with CAA compared to controls (3.36 ± 0.20 vs. 3.96 ± 0.22 ng/ml, p = 0.033), whereas median serum levels were increased in patients with CAA (4.51 ng/ml [IQR 3.75-5.29] vs 3.60 ng/ml [IQR 3.11-4.85], p-9.013). Moreover, mean CSF TIMP4 levels were lower in CAA patients who had experienced a symptomatic hemorrhage compared to CAA patients who did not (2.13 ± 0.24 vs. 3.57 ± 0.24 ng/ml, p = 0.007). CSF TIMP4 levels were associated with CSF levels of Aβ40 (spearman r (rs) = 0.321, p = 0.009). In summary, we show that TIMP4 is highly associated with CAA and CAA-related ICH, which is reflected by higher levels in the cerebral vasculature and lower levels in CSF. With these findings we provide novel insights into the pathophysiology of CAA, and more specifically in CAA-associated ICH.
Collapse
Affiliation(s)
- Lieke Jäkel
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 830 TML, P. O. Box 9101, 6500 HB, Nijmegen, The Netherlands
- Radboud Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anna M De Kort
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 830 TML, P. O. Box 9101, 6500 HB, Nijmegen, The Netherlands
- Radboud Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Arno Stellingwerf
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 830 TML, P. O. Box 9101, 6500 HB, Nijmegen, The Netherlands
- Radboud Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Carla Hernández Utrilla
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 830 TML, P. O. Box 9101, 6500 HB, Nijmegen, The Netherlands
- Radboud Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Iris Kersten
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 830 TML, P. O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Marc Vervuurt
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 830 TML, P. O. Box 9101, 6500 HB, Nijmegen, The Netherlands
- Radboud Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Yannick Vermeiren
- Division of Human Nutrition and Health, Chair Group Nutritional Biology, Wageningen University and Research (WUR), Wageningen, The Netherlands
- Faculty of Medicine and Health Sciences, Translational Neurosciences, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Benno Küsters
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Floris H B M Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 830 TML, P. O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 830 TML, P. O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - H Bea Kuiperij
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 830 TML, P. O. Box 9101, 6500 HB, Nijmegen, The Netherlands
- Radboud Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marcel M Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 830 TML, P. O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.
- Radboud Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands.
| |
Collapse
|
3
|
Ceolini E, Ridderinkhof KR, Ghosh A. Age-related behavioral resilience in smartphone touchscreen interaction dynamics. Proc Natl Acad Sci U S A 2024; 121:e2311865121. [PMID: 38861610 PMCID: PMC11194488 DOI: 10.1073/pnas.2311865121] [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: 07/12/2023] [Accepted: 05/09/2024] [Indexed: 06/13/2024] Open
Abstract
We experience a life that is full of ups and downs. The ability to bounce back after adverse life events such as the loss of a loved one or serious illness declines with age, and such isolated events can even trigger accelerated aging. How humans respond to common day-to-day perturbations is less clear. Here, we infer the aging status from smartphone behavior by using a decision tree regression model trained to accurately estimate the chronological age based on the dynamics of touchscreen interactions. Individuals (N = 280, 21 to 87 y of age) expressed smartphone behavior that appeared younger on certain days and older on other days through the observation period that lasted up to ~4 y. We captured the essence of these fluctuations by leveraging the mathematical concept of critical transitions and tipping points in complex systems. In most individuals, we find one or more alternative stable aging states separated by tipping points. The older the individual, the lower the resilience to forces that push the behavior across the tipping point into an older state. Traditional accounts of aging based on sparse longitudinal data spanning decades suggest a gradual behavioral decline with age. Taken together with our current results, we propose that the gradual age-related changes are interleaved with more complex dynamics at shorter timescales where the same individual may navigate distinct behavioral aging states from one day to the next. Real-world behavioral data modeled as a complex system can transform how we view and study aging.
Collapse
Affiliation(s)
- Enea Ceolini
- Cognitive Psychology Unit, Institute of Psychology, Leiden University, Leiden2333 AK, The Netherlands
- QuantActions, Zurich8001, Switzerland
| | | | - Arko Ghosh
- Cognitive Psychology Unit, Institute of Psychology, Leiden University, Leiden2333 AK, The Netherlands
| |
Collapse
|
4
|
Deckers K, Zwan MD, Soons LM, Waterink L, Beers S, van Houdt S, Stiensma B, Kwant JZ, Wimmers SCPM, Heutz RAM, Claassen JAHR, Oosterman JM, de Heus RAA, van de Rest O, Vermeiren Y, Voshaar RCO, Smidt N, Broersen LM, Sikkes SAM, Aarts E, Köhler S, van der Flier WM. A multidomain lifestyle intervention to maintain optimal cognitive functioning in Dutch older adults-study design and baseline characteristics of the FINGER-NL randomized controlled trial. Alzheimers Res Ther 2024; 16:126. [PMID: 38872204 PMCID: PMC11170777 DOI: 10.1186/s13195-024-01495-8] [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: 05/02/2024] [Accepted: 06/10/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Evidence on the effectiveness of multidomain lifestyle interventions to prevent cognitive decline in older people without dementia is mixed. Embedded in the World-Wide FINGERS initiative, FINGER-NL aims to investigate the effectiveness of a 2-year multidomain lifestyle intervention on cognitive functioning in older Dutch at risk individuals. METHODS Multi-center, randomized, controlled, multidomain lifestyle intervention trial with a duration of 24 months. 1210 adults between 60-79 years old with presence of ≥ 2 modifiable risk factors and ≥ 1 non-modifiable risk factor for cognitive decline were recruited between January 2022 and May 2023 via the Dutch Brain Research Registry and across five study sites in the Netherlands. Participants were randomized to either a high-intensity or a low-intensity intervention group. The multidomain intervention comprises a combination of 7 lifestyle components (physical activity, cognitive training, cardiovascular risk factor management, nutritional counseling, sleep counseling, stress management, and social activities) and 1 nutritional product (Souvenaid®) that could help maintain cognitive functioning. The high-intensity intervention group receives a personalized, supervised and hybrid intervention consisting of group meetings (on-site and online) and individual sessions guided by a trained lifestyle coach, and access to a digital intervention platform that provides custom-made training materials and selected lifestyle apps. The low-intensity intervention group receives bi-monthly online lifestyle-related health advice via the digital intervention platform. Primary outcome is 2-year change on a cognitive composite score covering processing speed, executive function, and memory. RESULTS Within 17 months, participant recruitment has been successfully completed (N = 1210; mean age: 67.7 years (SD: 4.6); 64% female). Modifiable risk factors commonly present at baseline were physical inactivity (89%), low mental/cognitive activity (50%), low social engagement (39%), hypertension (39%) and high alcohol consumption (39%). The mean body mass index of participants was 28.3 (SD: 4.2) and the total serum cholesterol was 5.4 mmol/L (SD: 1.2). CONCLUSIONS Baseline lifestyle and clinical measurements showed successful recruitment of participants with sufficient potential for prevention. Results of FINGER-NL will provide further insight into the efficacy of a multidomain lifestyle intervention to prevent cognitive decline in older adults. TRIAL REGISTRATION ClinicalTrials.gov (ID: NCT05256199)/2022-01-11.
Collapse
Affiliation(s)
- Kay Deckers
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, Mental Health and Neuroscience Research Institute (MHeNs), Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands.
| | - Marissa D Zwan
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Lion M Soons
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, Mental Health and Neuroscience Research Institute (MHeNs), Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands
| | - Lisa Waterink
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Sonja Beers
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Sofie van Houdt
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
- HAN University of Applied Sciences, Nijmegen, The Netherlands
| | - Berrit Stiensma
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Judy Z Kwant
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sophie C P M Wimmers
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Rachel A M Heutz
- Department of Geriatrics, Radboud University Medical Center, Radboudumc Alzheimer Center, Nijmegen, The Netherlands
| | - Jurgen A H R Claassen
- Department of Geriatrics, Radboud University Medical Center, Radboudumc Alzheimer Center, Nijmegen, The Netherlands
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
- Department of Cardiovascular Sciences, Leicester University, Leicester, UK
| | - Joukje M Oosterman
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Rianne A A de Heus
- Department of Geriatrics, Radboud University Medical Center, Radboudumc Alzheimer Center, Nijmegen, The Netherlands
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ondine van de Rest
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Yannick Vermeiren
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Richard C Oude Voshaar
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nynke Smidt
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Sietske A M Sikkes
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Clinical, Neuro and Developmental Psychology, VU University, Amsterdam, The Netherlands
| | - Esther Aarts
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Sebastian Köhler
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, Mental Health and Neuroscience Research Institute (MHeNs), Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Epidemiology & Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| |
Collapse
|
5
|
Reyes-Pérez P, Hernández-Ledesma AL, Román-López TV, García-Vilchis B, Ramírez-González D, Lázaro-Figueroa A, Martinez D, Flores-Ocampo V, Espinosa-Méndez IM, Tinajero-Nieto L, Peña-Ayala A, Morelos-Figaredo E, Guerra-Galicia CM, Torres-Valdez E, Gordillo-Huerta MV, Gandarilla-Martínez NA, Salinas-Barboza K, Félix-Rodríguez G, Frontana-Vázquez G, Matuk-Pérez Y, Estrada-Bellmann I, Alpizar-Rodríguez D, Rodríguez-Violante M, Rentería ME, Ruíz-Contreras AE, Alcauter S, Medina-Rivera A. Building national patient registries in Mexico: insights from the MexOMICS Consortium. Front Digit Health 2024; 6:1344103. [PMID: 38895515 PMCID: PMC11183280 DOI: 10.3389/fdgth.2024.1344103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 05/01/2024] [Indexed: 06/21/2024] Open
Abstract
Objective To introduce MexOMICS, a Mexican Consortium focused on establishing electronic databases to collect, cross-reference, and share health-related and omics data on the Mexican population. Methods Since 2019, the MexOMICS Consortium has established three electronic-based registries: the Mexican Twin Registry (TwinsMX), Mexican Lupus Registry (LupusRGMX), and the Mexican Parkinson's Research Network (MEX-PD), designed and implemented using the Research Electronic Data Capture web-based application. Participants were enrolled through voluntary participation and on-site engagement with medical specialists. We also acquired DNA samples and Magnetic Resonance Imaging scans in subsets of participants. Results The registries have successfully enrolled a large number of participants from a variety of regions within Mexico: TwinsMX (n = 2,915), LupusRGMX (n = 1,761) and MEX-PD (n = 750). In addition to sociodemographic, psychosocial, and clinical data, MexOMICS has collected DNA samples to study the genetic biomarkers across the three registries. Cognitive function has been assessed with the Montreal Cognitive Assessment in a subset of 376 MEX-PD participants. Furthermore, a subset of 267 twins have participated in cognitive evaluations with the Creyos platform and in MRI sessions acquiring structural, functional, and spectroscopy brain imaging; comparable evaluations are planned for LupusRGMX and MEX-PD. Conclusions The MexOMICS registries offer a valuable repository of information concerning the potential interplay of genetic and environmental factors in health conditions among the Mexican population.
Collapse
Affiliation(s)
- Paula Reyes-Pérez
- Laboratorio Internacional de Investigación Sobre el Genoma Humano, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Ana Laura Hernández-Ledesma
- Laboratorio Internacional de Investigación Sobre el Genoma Humano, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Talía V. Román-López
- Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Brisa García-Vilchis
- Laboratorio de Neurogenómica Cognitiva, Unidad de Investigación de Psicobiología y Neurociencias, Coordinación de Psicobiología y Neurociencias, Facultad de Psicología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Diego Ramírez-González
- Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Alejandra Lázaro-Figueroa
- Laboratorio de Neurogenómica Cognitiva, Unidad de Investigación de Psicobiología y Neurociencias, Coordinación de Psicobiología y Neurociencias, Facultad de Psicología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Domingo Martinez
- Laboratorio Internacional de Investigación Sobre el Genoma Humano, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
- Unidad de Genómica Avanzada, Langebio, Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional, Irapuato, Mexico
- Escuela Nacional de Estudios Superiores, Unidad Juriquilla, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Victor Flores-Ocampo
- Laboratorio Internacional de Investigación Sobre el Genoma Humano, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Ian M. Espinosa-Méndez
- Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Lizbet Tinajero-Nieto
- Hospital General Regional No. 1, Instituto Mexicano del Seguro Social, Querétaro, Santiago de Querétaro, Mexico
| | - Angélica Peña-Ayala
- Hospital General Regional No. 1, Instituto Mexicano del Seguro Social, Querétaro, Santiago de Querétaro, Mexico
- Instituto Nacional de Rehabilitación “Luis Guillermo Ibarra Ibarra”, Ciudad de México, Mexico
| | - Eugenia Morelos-Figaredo
- Hospital Regional, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, Morelia, Mexico
| | | | | | - María Vanessa Gordillo-Huerta
- Hospital General Querétaro, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, Santiago de Querétaro, Mexico
| | | | | | | | | | - Yamil Matuk-Pérez
- Facultad de Medicina, Universidad Autónoma de Querétaro. Unidad de Neurociencias, Hospital Angeles Centro Sur, Santiago de Querétaro, Mexico
| | - Ingrid Estrada-Bellmann
- Movement Disorders Clinic, Neurology Division, Internal Medicine Department, University Hospital “Dr. José E. González”, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | | | - Mayela Rodríguez-Violante
- Laboratorio Clínico de Enfermedades Neurodegenerativas, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
| | - Miguel E. Rentería
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Alejandra E. Ruíz-Contreras
- Laboratorio de Neurogenómica Cognitiva, Unidad de Investigación de Psicobiología y Neurociencias, Coordinación de Psicobiología y Neurociencias, Facultad de Psicología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Sarael Alcauter
- Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Alejandra Medina-Rivera
- Laboratorio Internacional de Investigación Sobre el Genoma Humano, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| |
Collapse
|
6
|
De Kort AM, Kaushik K, Kuiperij HB, Jäkel L, Li H, Tuladhar AM, Terwindt GM, Wermer MJH, Claassen JAHR, Klijn CJM, Verbeek MM, Kessels RPC, Schreuder FHBM. The relation of a cerebrospinal fluid profile associated with Alzheimer's disease with cognitive function and neuropsychiatric symptoms in sporadic cerebral amyloid angiopathy. Alzheimers Res Ther 2024; 16:99. [PMID: 38704569 PMCID: PMC11069247 DOI: 10.1186/s13195-024-01454-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/07/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Patients with sporadic cerebral amyloid angiopathy (sCAA) frequently report cognitive or neuropsychiatric symptoms. The aim of this study is to investigate whether in patients with sCAA, cognitive impairment and neuropsychiatric symptoms are associated with a cerebrospinal fluid (CSF) biomarker profile associated with Alzheimer's disease (AD). METHODS In this cross-sectional study, we included participants with sCAA and dementia- and stroke-free, age- and sex-matched controls, who underwent a lumbar puncture, brain MRI, cognitive assessments, and self-administered and informant-based-questionnaires on neuropsychiatric symptoms. CSF phosphorylated tau, total tau and Aβ42 levels were used to divide sCAA patients in two groups: CAA with (CAA-AD+) or without a CSF biomarker profile associated with AD (CAA-AD-). Performance on global cognition, specific cognitive domains (episodic memory, working memory, processing speed, verbal fluency, visuoconstruction, and executive functioning), presence and severity of neuropsychiatric symptoms, were compared between groups. RESULTS sCAA-AD+ (n=31; mean age: 72 ± 6; 42%, 61% female) and sCAA-AD- (n=23; 70 ± 5; 42% female) participants did not differ with respect to global cognition or type of affected cognitive domain(s). The number or severity of neuropsychiatric symptoms also did not differ between sCAA-AD+ and sCAA-AD- participants. These results did not change after exclusion of patients without prior ICH. CONCLUSIONS In participants with sCAA, a CSF biomarker profile associated with AD does not impact global cognition or specific cognitive domains, or the presence of neuropsychiatric symptoms.
Collapse
Affiliation(s)
- Anna M De Kort
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Kanishk Kaushik
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - H Bea Kuiperij
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lieke Jäkel
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hao Li
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Anil M Tuladhar
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
| | - Jurgen A H R Claassen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Catharina J M Klijn
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Marcel M Verbeek
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Medical Psychology, Radboud University Medical Center, Nijmegen, The Netherlands
- Vincent van Gogh Institute for Psychiatry, Venray, The Netherlands
| | - Floris H B M Schreuder
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
| |
Collapse
|
7
|
Foucher J, Azizi L, Öijerstedt L, Kläppe U, Ingre C. The usage of population and disease registries as pre-screening tools for clinical trials, a systematic review. Syst Rev 2024; 13:111. [PMID: 38654383 PMCID: PMC11040983 DOI: 10.1186/s13643-024-02533-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 04/12/2024] [Indexed: 04/25/2024] Open
Abstract
OBJECTIVE This systematic review aims to outline the use of population and disease registries for clinical trial pre-screening. MATERIALS AND METHODS The search was conducted in the time period of January 2014 to December 2022 in three databases: MEDLINE, Embase, and Web of Science Core Collection. References were screened using the Rayyan software, firstly based on titles and abstracts only, and secondly through full text review. Quality of the included studies was assessed using the List of Included Studies and quality Assurance in Review tool, enabling inclusion of publications of only moderate to high quality. RESULTS The search originally identified 1430 citations, but only 24 studies were included, reporting the use of population and/or disease registries for trial pre-screening. Nine disease domains were represented, with 54% of studies using registries based in the USA, and 62.5% of the studies using national registries. Half of the studies reported usage for drug trials, and over 478,679 patients were identified through registries in this review. Main advantages of the pre-screening methodology were reduced financial burden and time reduction. DISCUSSION AND CONCLUSION The use of registries for trial pre-screening increases reproducibility of the pre-screening process across trials and sites, allowing for implementation and improvement of a quality assurance process. Pre-screening strategies seem under-reported, and we encourage more trials to use and describe their pre-screening processes, as there is a need for standardized methodological guidelines.
Collapse
Affiliation(s)
- Juliette Foucher
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
| | - Louisa Azizi
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Linn Öijerstedt
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Ulf Kläppe
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Caroline Ingre
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| |
Collapse
|
8
|
Kaushik K, de Kort AM, van Dort R, van der Zwet RGJ, Siegerink B, Voigt S, van Zwet EW, van der Plas MC, Koemans EA, Rasing I, Kessels RPC, Middelkoop HAM, Schreuder FHBM, Klijn CJM, Verbeek MM, Terwindt GM, van Etten ES, Wermer MJH. Neuropsychiatric symptoms with focus on apathy and irritability in sporadic and hereditary cerebral amyloid angiopathy. Alzheimers Res Ther 2024; 16:74. [PMID: 38582898 PMCID: PMC10998371 DOI: 10.1186/s13195-024-01445-4] [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: 11/27/2023] [Accepted: 03/31/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) may affect cognition, but their burden in cerebral amyloid angiopathy (CAA), one of the main causes of intracerebral hemorrhage (ICH) and dementia in the elderly, remains unclear. We investigated NPS, with emphasis on apathy and irritability in sporadic (sCAA) and Dutch-type hereditary (D-)CAA. METHODS We included patients with sCAA and (pre)symptomatic D-CAA, and controls from four prospective cohort studies. We assessed NPS per group, stratified for history of ICH, using the informant-based Neuropsychiatric Inventory (NPI-Q), Starkstein Apathy scale (SAS), and Irritability Scale. We modeled the association of NPS with disease status, executive function, processing speed, and CAA-burden score on MRI and investigated sex-differences. RESULTS We included 181 participants: 82 with sCAA (mean[SD] age 72[6] years, 44% women, 28% previous ICH), 56 with D-CAA (52[11] years, 54% women, n = 31[55%] presymptomatic), and 43 controls (69[9] years, 44% women). The NPI-Q NPS-count differed between patients and controls (sCAA-ICH+:adj.β = 1.4[95%CI:0.6-2.3]; sCAA-ICH-:1.3[0.6-2.0]; symptomatic D-CAA:2.0[1.1-2.9]; presymptomatic D-CAA:1.2[0.1-2.2], control median:0[IQR:0-3]), but not between the different CAA-subgroups. Apathy and irritability were reported most frequently: n = 12[31%] sCAA, 19[37%] D-CAA had a high SAS-score; n = 12[29%] sCAA, 14[27%] D-CAA had a high Irritability Scale score. NPS-count was associated with decreased processing speed (adj.β=-0.6[95%CI:-0.8;-0.4]) and executive function (adj.β=-0.4[95%CI:-0.6;-0.1]), but not with radiological CAA-burden. Men had NPS more often than women. DISCUSSION According to informants, one third to half of patients with CAA have NPS, mostly apathy, even in presymptomatic D-CAA and possibly with increased susceptibility in men. Neurologists should inform patients and caregivers of these disease consequences and treat or refer patients with NPS appropriately.
Collapse
Affiliation(s)
- Kanishk Kaushik
- Neurology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2300RC, Leiden, NL, the Netherlands.
| | - Anna M de Kort
- Neurology, Radboud University Medical Center (RUMC), Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands
| | - Rosemarie van Dort
- Neurology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2300RC, Leiden, NL, the Netherlands
| | - Reinier G J van der Zwet
- Neurology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2300RC, Leiden, NL, the Netherlands
| | - Bob Siegerink
- Clinical Epidemiology, LUMC, Leiden, the Netherlands
| | - Sabine Voigt
- Neurology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2300RC, Leiden, NL, the Netherlands
- Radiology, LUMC, Leiden, the Netherlands
| | | | - Maaike C van der Plas
- Neurology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2300RC, Leiden, NL, the Netherlands
| | - Emma A Koemans
- Neurology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2300RC, Leiden, NL, the Netherlands
| | - Ingeborg Rasing
- Neurology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2300RC, Leiden, NL, the Netherlands
| | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands
- Medical Psychology and RUMC Alzheimer Center, Nijmegen, the Netherlands
- Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands
| | - Huub A M Middelkoop
- Neurology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2300RC, Leiden, NL, the Netherlands
- Institute of Psychology, Health and Neuropsychology, Leiden University, Leiden, the Netherlands
| | - Floris H B M Schreuder
- Neurology, Radboud University Medical Center (RUMC), Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands
| | - Catharina J M Klijn
- Neurology, Radboud University Medical Center (RUMC), Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands
| | - Marcel M Verbeek
- Neurology, Radboud University Medical Center (RUMC), Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands
- Laboratory Medicine, RUMC, Nijmegen, the Netherlands
| | - Gisela M Terwindt
- Neurology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2300RC, Leiden, NL, the Netherlands
| | - Ellis S van Etten
- Neurology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2300RC, Leiden, NL, the Netherlands
| | - Marieke J H Wermer
- Neurology, Leiden University Medical Center (LUMC), Albinusdreef 2, 2300RC, Leiden, NL, the Netherlands
- Neurology, University Medical Center Groningen, Groningen, the Netherlands
| |
Collapse
|
9
|
Bellomo G, Bayoumy S, Megaro A, Toja A, Nardi G, Gaetani L, Blujdea ER, Paolini Paoletti F, Wojdaƚa AL, Chiasserini D, van der Flier WM, Verberk IMW, Teunissen C, Parnetti L. Fully automated measurement of plasma Aβ42/40 and p-tau181: Analytical robustness and concordance with cerebrospinal fluid profile along the Alzheimer's disease continuum in two independent cohorts. Alzheimers Dement 2024; 20:2453-2468. [PMID: 38323780 PMCID: PMC11032583 DOI: 10.1002/alz.13687] [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: 10/02/2023] [Revised: 11/30/2023] [Accepted: 12/16/2023] [Indexed: 02/08/2024]
Abstract
INTRODUCTION For routine clinical implementation of Alzheimer's disease (AD) plasma biomarkers, fully automated random-access platforms are crucial to ensure reproducible measurements. We aimed to perform an analytical validation and to establish cutoffs for AD plasma biomarkers measured with Lumipulse. METHODS Two cohorts were included. UNIPG: n = 450 paired cerebrospinal fluid (CSF)/plasma samples from subjects along the AD-continuum, subjects affected by other neurodegenerative diseases, and controls with known CSF profile; AMS: n = 40 plasma samples from AD and n = 40 controls. Plasma amyloid β (Aβ)42, Aβ40, and p-tau181 were measured with Lumipulse. We evaluated analytical and diagnostic performance. RESULTS Lumipulse assays showed high analytical performance. Plasma p-tau181 levels accurately reflected CSF A+/T+ profile in AD-dementia and mild cognitive impairment (MCI)-AD, but not in asymptomatic-AD. Plasma and CSF Aβ42/40 values were concordant across clinical AD stages. Cutoffs and probability-based models performed satisfactorily in both cohorts. DISCUSSION The identified cutoffs and probability-based models represent a significant step toward plasma AD molecular diagnosis.
Collapse
Affiliation(s)
- Giovanni Bellomo
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Sherif Bayoumy
- Neurochemistry LaboratoryDepartment of Laboratory MedicineAmsterdam Neuroscience, Amsterdam UMCAmsterdamThe Netherlands
| | - Alfredo Megaro
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Andrea Toja
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Giovanna Nardi
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Lorenzo Gaetani
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Elena R. Blujdea
- Neurochemistry LaboratoryDepartment of Laboratory MedicineAmsterdam Neuroscience, Amsterdam UMCAmsterdamThe Netherlands
| | - Federico Paolini Paoletti
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Anna Lidia Wojdaƚa
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Davide Chiasserini
- Section of BiochemistryDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| | - Wiesje M. van der Flier
- Alzheimer CenterDepartment of NeurologyVrije Universiteit Amsterdam, Amsterdam UMCAmsterdamThe Netherlands
- Department of Epidemiology and Data ScienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
| | - Inge M. W. Verberk
- Neurochemistry LaboratoryDepartment of Laboratory MedicineAmsterdam Neuroscience, Amsterdam UMCAmsterdamThe Netherlands
| | - Charlotte Teunissen
- Neurochemistry LaboratoryDepartment of Laboratory MedicineAmsterdam Neuroscience, Amsterdam UMCAmsterdamThe Netherlands
| | - Lucilla Parnetti
- Center for Memory DisturbancesLab of Clinical NeurochemistrySection of NeurologyDepartment of Medicine and SurgeryUniversity of PerugiaPerugiaItaly
| |
Collapse
|
10
|
Vervuurt M, Schrader JM, de Kort AM, Kersten I, Wessels HJCT, Klijn CJM, Schreuder FHBM, Kuiperij HB, Gloerich J, Van Nostrand WE, Verbeek MM. Cerebrospinal fluid shotgun proteomics identifies distinct proteomic patterns in cerebral amyloid angiopathy rodent models and human patients. Acta Neuropathol Commun 2024; 12:6. [PMID: 38191511 PMCID: PMC10775534 DOI: 10.1186/s40478-023-01698-4] [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: 10/13/2023] [Accepted: 11/28/2023] [Indexed: 01/10/2024] Open
Abstract
Cerebral amyloid angiopathy (CAA) is a form of small vessel disease characterised by the progressive deposition of amyloid β protein in the cerebral vasculature, inducing symptoms including cognitive impairment and cerebral haemorrhages. Due to their accessibility and homogeneous disease phenotypes, animal models are advantageous platforms to study diseases like CAA. Untargeted proteomics studies of CAA rat models (e.g. rTg-DI) and CAA patients provide opportunities for the identification of novel biomarkers of CAA. We performed untargeted, data-independent acquisition proteomic shotgun analyses on the cerebrospinal fluid of rTg-DI rats and wild-type (WT) littermates. Rodents were analysed at 3 months (n = 6/10), 6 months (n = 8/8), and 12 months (n = 10/10) for rTg-DI and WT respectively. For humans, proteomic analyses were performed on CSF of sporadic CAA patients (sCAA) and control participants (n = 39/28). We show recurring patterns of differentially expressed (mostly increased) proteins in the rTg-DI rats compared to wild type rats, especially of proteases of the cathepsin protein family (CTSB, CTSD, CTSS), and their main inhibitor (CST3). In sCAA patients, decreased levels of synaptic proteins (e.g. including VGF, NPTX1, NRXN2) and several members of the granin family (SCG1, SCG2, SCG3, SCG5) compared to controls were discovered. Additionally, several serine protease inhibitors of the SERPIN protein family (including SERPINA3, SERPINC1 and SERPING1) were differentially expressed compared to controls. Fifteen proteins were significantly altered in both rTg-DI rats and sCAA patients, including (amongst others) SCG5 and SERPING1. These results identify specific groups of proteins likely involved in, or affected by, pathophysiological processes involved in CAA pathology such as protease and synapse function of rTg-DI rat models and sCAA patients, and may serve as candidate biomarkers for sCAA.
Collapse
Affiliation(s)
- Marc Vervuurt
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, 830 TML, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Joseph M Schrader
- Department of Biomedical and Pharmaceutical Sciences, George & Anne Institute for Neuroscience, University of Rhode Island, Kingston, RI, USA
| | - Anna M de Kort
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, 830 TML, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Iris Kersten
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, 830 TML, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Hans J C T Wessels
- Department of Human Genetics, Translational Metabolic Laboratory, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, 830 TML, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Floris H B M Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, 830 TML, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - H Bea Kuiperij
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, 830 TML, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Jolein Gloerich
- Department of Human Genetics, Translational Metabolic Laboratory, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - William E Van Nostrand
- Department of Biomedical and Pharmaceutical Sciences, George & Anne Institute for Neuroscience, University of Rhode Island, Kingston, RI, USA
| | - Marcel M Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, 830 TML, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
- Department of Human Genetics, Translational Metabolic Laboratory, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
| |
Collapse
|
11
|
Waterink L, Masselink LA, van der Lee SJ, Visser LNC, Cleutjens S, van der Schaar J, van Harten AC, Scheltens P, Sikkes SAM, van der Flier WM, Zwan MD. Interest in genetic susceptibility testing and disclosure of AD dementia risk in cognitively normal adults: a survey study. Alzheimers Res Ther 2024; 16:1. [PMID: 38167083 PMCID: PMC10759504 DOI: 10.1186/s13195-023-01364-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 12/03/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Apolipoprotein-E (APOE) genetic testing for Alzheimer's disease is becoming more important as clinical trials are increasingly targeting individuals carrying APOE-ε4 alleles. Little is known about the interest in finding out one's genetic risk for Alzheimer's disease in the general population. Our objective was to examine this in a sample of cognitively normal (CN) adults within a population-based online research registry with the goal to implement APOE-ε4 status for trial recruitment. METHODS An online survey was completed by 442 CN participants between the age of 49 and 75 years (56% female) from the Dutch Brain Research Registry. The survey assessed interest in participation in research into, and disclosure of, genetic risk for dementia. The survey assessed interest in participation in research into, and disclosure of, genetic risk for dementia and knowing their genetic risk in different hypothetical risk scenarios (10%, 30%, and 50% genetic risk for dementia at age 85, corresponding to APOEε2/ε2 or ε2/ε3, APOEε3/ε4 or ε2ε4, and APOE-ε4/ε4 genotypes). Cochran's Q and post hoc McNemar tests were used to analyse differences in frequencies across scenarios. RESULTS Most participants were interested in participating in research into and disclosure of their genetic risk (81%). The most reported reason was to contribute to scientific research (94%). Interest was higher in males, whilst lower-educated participants were more often undecided. When provided with different risk scenarios, interest in knowing their risk was somewhat higher in the scenarios with higher risk, i.e. in the 50% (79%) compared to the 10% scenario (73%;χ2(2) = 7.98; p = .005). Most individuals expected they would share their genetic risk with close relatives (77-89%), would participate in medication trials (79-88%), and would make long-term arrangements, e.g. retirement, health care, will (69-82%), with larger proportions for scenarios with higher hypothetical genetic risk. CONCLUSIONS Our findings indicate that the vast majority of CN adults participating in a research registry expresses interest in AD genetic risk research and disclosure. Interest in genetic risk disclosure is higher in scenarios corresponding to the APOE-ε4 genotype. This suggests APOE-ε4 screening within an online research registry is potentially a well-received method to accelerate inclusion for trials.
Collapse
Affiliation(s)
- Lisa Waterink
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands.
| | - Larissa A Masselink
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Leonie N C Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77, Stockholm, Sweden
- Department of Medical Psychology, Amsterdam UMC location AMC, University of Amsterdam, Amsterdam, 1105, AZ, the Netherlands
- Amsterdam Public Health research Institute, Quality of Care, Amsterdam, 1105, BP, The Netherlands
| | - Solange Cleutjens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Jetske van der Schaar
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
| | - Argonde C van Harten
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- EQT Life Sciences Partners, Amsterdam, 1071, DV, The Netherlands
| | - Sietske A M Sikkes
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Faculty of Behavioural and Movement Sciences, Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit, Amsterdam, 1081, HV, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, 1081, HZ, The Netherlands
| | - Marissa D Zwan
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, 1081, HV, The Netherlands
| |
Collapse
|
12
|
van Maurik IS, Bakker ED, van Unnik AAJM, Broulikova HM, Zwan MD, van de Giessen E, Berkhof J, Bouwman FH, Bosmans JE, van der Flier WM. How healthy participants value additional diagnostic testing with amyloid-PET in patients diagnosed with mild cognitive impairment - a bidding game experiment. Alzheimers Res Ther 2023; 15:208. [PMID: 38017549 PMCID: PMC10683285 DOI: 10.1186/s13195-023-01346-y] [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: 02/16/2023] [Accepted: 10/25/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND To estimate the perceived value of additional testing with amyloid-PET in Euros in healthy participants acting as analogue patients with mild cognitive impairment (MCI). METHODS One thousand four hundred thirty-one healthy participants acting as analogue MCI patients (mean age 65 ± 8, 929 (75%) female) were recruited via the Dutch Brain Research Registry. Participants were asked to identify with a presented case (video vignette) of an MCI patient and asked whether they would prefer additional diagnostic testing with amyloid PET in this situation. If yes, respondents were asked how much they would be willing to pay for additional diagnostic testing. Monetary value was elicited via a bidding game in which participants were randomized over three conditions: (A) additional testing results in better patient management, (B) Same as condition A and a delay in institutionalization of 3 months, and (C) same as A and a delay in institutionalization of 6 months. Participants who were not willing to take a test were compared with participants who were willing to take a test using logit models. The highest monetary value per condition was analyzed using random-parameter mixed models. RESULTS The vast majority of participants acting as analogue MCI patients (87% (n = 1238)) preferred additional testing with amyloid PET. Participants who were not interested were more often female (OR = 1.61 95% CI [1.09-2.40]) and expressed fewer worries to get AD (OR = 0.64 [0.47-0.87]). The median "a priori" (i.e., before randomization) monetary value of additional diagnostic testing was €1500 (IQR 500-1500). If an additional amyloid PET resulted in better patient management (not further specified; condition A), participants were willing to pay a median price of €2000 (IQR = 1000-3500). Participants were willing to pay significantly more than condition A (better patient management) if amyloid-PET testing additionally resulted in a delay in institutionalization of 3 months (€530 [255-805] on top of €2000, condition B) or 6 months (€596 [187-1005] on top of €2000, condition C). CONCLUSIONS Members of the general population acting as MCI patients are willing to pay a substantial amount of money for amyloid-PET and this increases when diagnostic testing leads to better patient management and the prospect to live longer at home.
Collapse
Affiliation(s)
- I S van Maurik
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, De Boelelaan 1118, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands.
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands.
| | - E D Bakker
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, De Boelelaan 1118, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - A A J M van Unnik
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, De Boelelaan 1118, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - H M Broulikova
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - M D Zwan
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, De Boelelaan 1118, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - E van de Giessen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, De Boelelaan 1118, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, the Netherlands
| | - J Berkhof
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
| | - F H Bouwman
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, De Boelelaan 1118, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - J E Bosmans
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - W M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, De Boelelaan 1118, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
| |
Collapse
|
13
|
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.
Collapse
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
| |
Collapse
|
14
|
Mank A, van Maurik IS, Rijnhart JJM, Rhodius‐Meester HFM, Visser LNC, Lemstra AW, Sikkes SAM, Teunissen CE, van Giessen EM, Berkhof J, van der Flier WM. Determinants of informal care time, distress, depression, and quality of life in care partners along the trajectory of Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12418. [PMID: 37114014 PMCID: PMC10126754 DOI: 10.1002/dad2.12418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/19/2023] [Accepted: 03/01/2023] [Indexed: 04/29/2023]
Abstract
Introduction We evaluated determinants associated with care partner outcomes along the Alzheimer's disease (AD) stages. Methods We included n = 270 care partners of amyloid-positive patients in the pre-dementia and dementia stages of AD. Using linear regression analysis, we examined determinants of four care partner outcomes: informal care time, caregiver distress, depression, and quality of life (QoL). Results More behavioral symptoms and functional impairment in patients were associated with more informal care time and depressive symptoms in care partners. More behavioral symptoms were related with more caregiver distress. Spouse care partners spent more time on informal care and QoL was lower in female care partners. Behavioral problems and subtle functional impairment of the patient predisposed for worse care partner outcomes already in the pre-dementia stages. Discussion Both patient and care partner determinants contribute to the care partner outcomes, already in early disease stages. This study provides red flags for high care partner burden.
Collapse
Affiliation(s)
- Arenda Mank
- Alzheimer Center Amsterdam, Department of NeurologyVrije Universiteit AmsterdamAmsterdam UMC VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
- Amsterdam UMCVrije Universiteit AmsterdamDepartment of Epidemiology and Data ScienceAmsterdam Public Health InstituteAmsterdamthe Netherlands
| | - Ingrid S. van Maurik
- Alzheimer Center Amsterdam, Department of NeurologyVrije Universiteit AmsterdamAmsterdam UMC VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
- Amsterdam UMCVrije Universiteit AmsterdamDepartment of Epidemiology and Data ScienceAmsterdam Public Health InstituteAmsterdamthe Netherlands
| | | | - Hanneke F. M. Rhodius‐Meester
- Alzheimer Center Amsterdam, Department of NeurologyVrije Universiteit AmsterdamAmsterdam UMC VUmcAmsterdamthe Netherlands
- Department of Internal MedicineGeriatric Medicine SectionVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of Geriatric MedicineThe Memory ClinicOslo University HospitalOsloNorway
| | - Leonie N. C. Visser
- Department of Medical PsychologyAmsterdam UMC, AMCUniversity of AmsterdamAmsterdamthe Netherlands
- Amsterdam Public Health Research InstituteQuality of CareAmsterdamthe Netherlands
| | - Afina W. Lemstra
- Alzheimer Center Amsterdam, Department of NeurologyVrije Universiteit AmsterdamAmsterdam UMC VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
| | - Sietske A. M. Sikkes
- Alzheimer Center Amsterdam, Department of NeurologyVrije Universiteit AmsterdamAmsterdam UMC VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
| | - Charlotte E. Teunissen
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
- Neurochemistry LaboratoryDepartment of Clinical ChemistryVrije UniversiteitAmsterdam UMC, VUmcAmsterdamthe Netherlands
| | - Elsmarieke M. van Giessen
- Department of Radiology & Nuclear Medicine Vrije Universiteit AmsterdamAmsterdam UMC, VUmcAmsterdamthe Netherlands
| | - Johannes Berkhof
- Amsterdam UMCVrije Universiteit AmsterdamDepartment of Epidemiology and Data ScienceAmsterdam Public Health InstituteAmsterdamthe Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Department of NeurologyVrije Universiteit AmsterdamAmsterdam UMC VUmcAmsterdamthe Netherlands
- Amsterdam NeuroscienceNeurodegenerationAmsterdamthe Netherlands
- Amsterdam UMCVrije Universiteit AmsterdamDepartment of Epidemiology and Data ScienceAmsterdam Public Health InstituteAmsterdamthe Netherlands
| |
Collapse
|
15
|
Fruijtier AD, van der Schaar J, van Maurik IS, Zwan MD, Scheltens P, Bouwman F, Pijnenburg YAL, van Berckel BNM, Ebenau J, van der Flier WM, Smets EMA, Visser LNC. Identifying best practices for disclosure of amyloid imaging results: A randomized controlled trial. Alzheimers Dement 2023; 19:285-295. [PMID: 35366050 PMCID: PMC10084251 DOI: 10.1002/alz.12630] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 12/22/2021] [Accepted: 01/25/2022] [Indexed: 01/24/2023]
Abstract
INTRODUCTION Empirical studies on effective communication for amyloid disclosure in mild cognitive impairment (MCI) are lacking. We aimed to study the impact of six communication strategies. METHOD We performed a randomized controlled trial with seven randomly assigned, video-vignette conditions: six emphasizing a communication strategy and one basic condition. All showed a scripted consultation of a neurologist disclosing positive amyloid positron emission tomography (PET) scan results to an MCI patient. Healthy individuals (N = 1017; mean age ± SD 64 ± 8, 808 (79%) female) were instructed to imagine themselves in the video, answered questionnaires assessing information recall, emotional state, and behavioral intentions, and evaluate the physician/information. RESULTS "Risk best practice" resulted in highest free recall compared to other strategies (P < .05), except "emotional support". Recall in "emotional support" was better compared to "basic-' and elaborate information"(P < .05). "Risk best practice" resulted in the highest uncertainty (P < .001). "Teach-back" and "emotional support" contributed to the highest evaluations (P -values < .01). CONCLUSION Risk communication best practices, attending to emotions, and teach-back techniques enhance information recall of amyloid-PET results, and could contribute to positive care evaluations.
Collapse
Affiliation(s)
- Agnetha D Fruijtier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Medical Psychology, Academic Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jetske van der Schaar
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ingrid S van Maurik
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marissa D Zwan
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Femke Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jarith Ebenau
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ellen M A Smets
- Department of Medical Psychology, Academic Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
| | - Leonie N C Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Solna, Sweden
| |
Collapse
|
16
|
Dubbelman MA, Verrijp M, Terwee CB, Jutten RJ, Postema MC, Barkhof F, Berckel BNM, Gillissen F, Teeuwen V, Teunissen C, van de Flier WM, Scheltens P, Sikkes SAM. Determining the Minimal Important Change of Everyday Functioning in Dementia: Pursuing Clinical Meaningfulness. Neurology 2022; 99:e954-e964. [PMID: 35641309 PMCID: PMC9502738 DOI: 10.1212/wnl.0000000000200781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 04/11/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Decline in everyday functioning is a key clinical change in Alzheimer disease and related disorders (ADRD). An important challenge remains the determination of what constitutes a clinically meaningful change in everyday functioning. We aimed to investigate this by establishing the minimal important change (MIC): the smallest amount of change that has a meaningful effect on patients' lives. We retrospectively investigated meaningful change in a memory clinic cohort. METHODS In the first, qualitative part of the study, community-recruited informal caregivers of patients with ADRD and memory clinic clinicians completed a survey in which they judged various situations representing changes in everyday functioning. Their judgments of meaningful change were used to determine thresholds for MIC, both for decline and improvement, on the Amsterdam Instrumental Activities of Daily Living (IADL) Questionnaire. In the second, quantitative part, we applied these values in an independent longitudinal cohort study of unselected memory clinic patients. RESULTS MIC thresholds were established at the average threshold of caregivers (N = 1,629; 62.4 ± 9.5 years; 77% female) and clinicians (N = 13): -2.2 points for clinically meaningful decline and +5.0 points for clinically meaningful improvement. Memory clinic patients (N = 230; 64.3 ± 7.7 years; 39% female; 60% dementia diagnosis) were followed for 1 year, 102 (45%) of whom showed a decline larger than the MIC, after a mean of 6.7 ± 3.5 months. Patients with a dementia diagnosis and more atrophy of the medial temporal lobe had larger odds (odds ratio [OR] = 3.4, 95% CI [1.5-7.8] and OR = 5.0, 95% CI [1.2-20.0], respectively) for passing the MIC threshold for decline than those with subjective cognitive complaints and no atrophy. DISCUSSION We were able to operationalize clinically meaningful decline in IADL by determining the MIC. The usefulness of the MIC was supported by our findings from the clinical sample that nearly half of a sample of unselected memory clinic patients showed a meaningful decline in less than a year. Disease stage and medial temporal atrophy were predictors of functional decline greater than the MIC. Our findings provide guidance in interpreting changes in IADL and may help evaluate treatment effects and monitor disease progression.
Collapse
Affiliation(s)
- Mark A Dubbelman
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands.
| | - Merike Verrijp
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Caroline B Terwee
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Roos J Jutten
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Merel C Postema
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Frederik Barkhof
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Bart N M Berckel
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Freek Gillissen
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Vivianne Teeuwen
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Charlotte Teunissen
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Wiesje M van de Flier
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Philip Scheltens
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Sietske A M Sikkes
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (M.A.D., M.V., M.C.P., F.G., V.T., W.M.F., P.S., S.A.M.S.); Department of Epidemiology and Data Science, Amsterdam UMC, The Netherlands (C.B.T., W.M.F.); Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (R.J.J.); Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands (F.B., B.N.M.B.); Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.); Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands (C.T.); and Faculty of Behavioural and Movement Sciences (S.A.M.S.), Clinical Developmental Psychology & Clinical Neuropsychology, Vrije Universiteit Amsterdam, the Netherlands
| |
Collapse
|
17
|
Waterink L, Bakker ED, Visser LNC, Mangialasche F, Kivipelto M, Deckers K, Köhler S, Sikkes SAM, Prins ND, Scheltens P, van der Flier WM, Zwan MD. Changes in Brain-Health Related Modifiable Risk Factors in Older Adults After One Year of COVID-19-Restrictions. Front Psychiatry 2022; 13:877460. [PMID: 35722572 PMCID: PMC9201112 DOI: 10.3389/fpsyt.2022.877460] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
Background The COVID-19 pandemic has major influence on lifestyle and mental health, which might affect brain-health and increase the risk of cognitive decline, particularly in older adults. We aimed to describe changes in modifiable risk factors related to brain-health in older adults after one year of COVID-19 restrictions. Methods An online survey was disseminated between February and March 2021 to 17,773 registrants of the Dutch Brain Research Registry, aged ≥50, without a self-reported diagnosis of mild cognitive impairment or dementia. Participants were asked to report potential changes in behaviors during the COVID-19 pandemic, compared to pre-pandemic, in eight domains related to brain health: physical activity, sleep, feeling of memory decline, perceived stress, feeling of loneliness, diet, alcohol consumption, and smoking. We used negative binomial regression analyses to relate (socio)demographics, subjective memory complaints and COVID-19 related aspects (fear of, or current/past COVID-19 infection) to the number of reported detrimental and beneficial changes as dependent variable. Results 3,943 participants (66 ± 8 years old; 76% female; 71% highly educated) completed the survey. After one year of COVID-19-restrictions, 74% reported at least one detrimental lifestyle change unfavorable for their brain health, most frequently reported were feelings of loneliness, sleep problems, and less physical activity. 60% of participants reported at least one beneficial change, which were most often more physical activity, healthier dietary habits, and less alcohol consumption. Individuals who are younger [incidence rate ratio (IRR) = 0.99, 95% CI = 0.98-0.99], female (1.20, 1.11-1.30), living alone (1.20, 1.11-1.28) and in urban environments (1.18, 1.08-1.29), who are less satisfied with their income (1.38, 1.17-1.62), experiencing subjective memory complaints (1.40, 1.28-1.52) and those with a past or current (1.19, 1.06-1.34) or fear of a COVID-19 infection (1.33, 1.25-1.42) reported higher numbers of detrimental changes. Discussion The COVID-19 pandemic has influenced lifestyle in both positive and negative ways. We identified (socio)demographic factors associated with more detrimental changes in modifiable risk factors related to brain health, suggesting that some individuals are more vulnerable for the impact of the COVID-19 pandemic. These findings provide an opportunity for targeted prevention and education to promote a healthy lifestyle during and after the pandemic.
Collapse
Affiliation(s)
- Lisa Waterink
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Els D. Bakker
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Leonie N. C. Visser
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC Location AMC, Amsterdam, Netherlands
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Medical Unit Aging, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Kay Deckers
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Sebastian Köhler
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Sietske A. M. Sikkes
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Faculty of Behavioural and Movement Sciences, Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit, Amsterdam, Netherlands
| | | | - Philip Scheltens
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Life Sciences Partners Dementia Fund, Amsterdam, Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Marissa D. Zwan
- Alzheimer Center Amsterdam, Amsterdam University Medical Center, Amsterdam Neuroscience, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| |
Collapse
|
18
|
Verrijp M, Dubbelman MA, Visser LNC, Jutten RJ, Nijhuis EW, Zwan MD, van Hout HPJ, Scheltens P, van der Flier WM, Sikkes SAM. Everyday Functioning in a Community-Based Volunteer Population: Differences Between Participant- and Study Partner-Report. Front Aging Neurosci 2022; 13:761932. [PMID: 35069172 PMCID: PMC8767803 DOI: 10.3389/fnagi.2021.761932] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 11/16/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Impaired awareness in dementia caused by Alzheimer's disease and related disorders made study partner-report the preferred method of measuring interference in "instrumental activities of daily living" (IADL). However, with a shifting focus toward earlier disease stages and prevention, the question arises whether self-report might be equally or even more appropriate. The aim of this study was to investigate how participant- and study partner-report IADL perform in a community-based volunteer population without dementia and which factors relate to differences between participant- and study partner-report. Methods: Participants (N = 3,288; 18-97 years, 70.4% females) and their study partners (N = 1,213; 18-88 years, 45.8% females) were recruited from the Dutch Brain Research Registry. IADL were measured using the Amsterdam IADL Questionnaire. The concordance between participant- and study partner-reported IADL difficulties was examined using intraclass correlation coefficient (ICC). Multinomial logistic regressions were used to investigate which demographic, cognitive, and psychosocial factors related to participant and study partner differences, by looking at the over- and underreport of IADL difficulties by the participant, relative to their study partner. Results: Most A-IADL-Q scores represented no difficulties for both participants (87.9%) and study partners (89.4%). The concordance between participants and study partners was moderate (ICC = 0.55, 95% confidence interval [CI] = [0.51, 0.59]); 24.5% (N = 297) of participants overreported their IADL difficulties compared with study partners, and 17.8% (N = 216) underreported difficulties. The presence of depressive symptoms (odds ratio [OR] = 1.31, 95% CI = [1.12, 1.54]), as well as memory complaints (OR = 2.45, 95% CI = [1.80, 3.34]), increased the odds of participants overreporting their IADL difficulties. Higher IADL ratings decreased the odds of participant underreport (OR = 0.71, 95% CI = [0.67, 0.74]). Conclusion: In this sample of community-based volunteers, most participants and study partners reported no major IADL difficulties. Differences between participant and study partner were, however, quite prevalent, with subjective factors indicative of increased report of IADL difficulties by the participant in particular. These findings suggest that self- and study partner-report measures may not be interchangeable, and that the level of awareness needs to be considered, even in cognitively healthy individuals.
Collapse
Affiliation(s)
- Merike Verrijp
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Mark A. Dubbelman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Leonie N. C. Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Roos J. Jutten
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Elke W. Nijhuis
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Marissa D. Zwan
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Hein P. J. van Hout
- Department of General Practice and Medicine for Older Persons, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
| | - Sietske A. M. Sikkes
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
- Faculty of Behavioural and Movement Sciences, Clinical Developmental Psychology, Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| |
Collapse
|
19
|
Bayoumy S, Verberk IMW, den Dulk B, Hussainali Z, Zwan M, van der Flier WM, Ashton NJ, Zetterberg H, Blennow K, Vanbrabant J, Stoops E, Vanmechelen E, Dage JL, Teunissen CE. Clinical and analytical comparison of six Simoa assays for plasma P-tau isoforms P-tau181, P-tau217, and P-tau231. Alzheimers Res Ther 2021; 13:198. [PMID: 34863295 PMCID: PMC8645090 DOI: 10.1186/s13195-021-00939-9] [Citation(s) in RCA: 88] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 11/16/2021] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Studies using different assays and technologies showed highly promising diagnostic value of plasma phosphorylated (P-)tau levels for Alzheimer's disease (AD). We aimed to compare six P-tau Simoa assays, including three P-tau181 (Eli Lilly, ADx, Quanterix), one P-tau217 (Eli Lilly), and two P-tau231 (ADx, Gothenburg). METHODS We studied the analytical (sensitivity, precision, parallelism, dilution linearity, and recovery) and clinical (40 AD dementia patients, age 66±8years, 50%F; 40 age- and sex-matched controls) performance of the assays. RESULTS All assays showed robust analytical performance, and particularly P-tau217 Eli Lilly; P-tau231 Gothenburg and all P-tau181 assays showed robust clinical performance to differentiate AD from controls, with AUCs 0.936-0.995 (P-tau231 ADx: AUC = 0.719). Results obtained with all P-tau181 assays, P-tau217 Eli Lilly assay, and P-tau231 Gothenburg assay strongly correlated (Spearman's rho > 0.86), while correlations with P-tau231 ADx results were moderate (rho < 0.65). DISCUSSION P-tau isoforms can be measured robustly by several novel high-sensitive Simoa assays.
Collapse
Affiliation(s)
- Sherif Bayoumy
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands.
| | - Inge M W Verberk
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands
| | - Ben den Dulk
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands
| | - Zulaiga Hussainali
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands
| | - Marissa Zwan
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,King's College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience Institute, London, UK.,NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | | | - Erik Stoops
- ADx NeuroSciences NV, Technologiepark 94, Gent, Belgium
| | | | - Jeffrey L Dage
- Eli Lilly and Company, Indianapolis, IN, 46285, USA.,Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands
| |
Collapse
|
20
|
Early Implementation and Evaluation of StepUp for Dementia Research: An Australia-Wide Dementia Research Participation and Public Engagement Platform. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111353. [PMID: 34769871 PMCID: PMC8583565 DOI: 10.3390/ijerph182111353] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/21/2021] [Accepted: 10/24/2021] [Indexed: 11/16/2022]
Abstract
Recruiting participants for dementia research takes time. For those who are interested, opportunities to participate can be ad hoc. Delays in finding the right participants can result in studies taking longer to deliver, often requiring funding extensions, and ultimately increasing the cost and limiting the effectiveness of research and evaluation. To address these issues, a digital platform, StepUp for Dementia Research, was developed in 2019 and evaluated through ongoing data analytics, researcher feedback and annual volunteer surveys in 2019 and 2021. Using innovative matching technology, StepUp provides volunteers with an opt-in, secure way of registering interest in dementia studies and allows researchers to access matched volunteers in Australia. As of June 2021, 1070 volunteers registered (78% female), and 25 organizations became ‘champions’ for StepUp promotion. Of 122 registered researchers, 90 completed training. Forty studies from 17 research/health institutions recruited participants using StepUp. The evaluation demonstrated program feasibility and recruitment efficiency with a high level of satisfaction from users. Evaluation outcomes highlighted disparities in public participation in dementia research (e.g., gender, education and race/ethnicity) and provided valuable insights for further enhancements of StepUp. A concerted and strategic effort is needed by leading registries such as StepUp to ensure narrowing volunteer participation gaps in dementia research.
Collapse
|
21
|
Visser LN, Dubbelman MA, Verrijp M, Wanders L, Pelt S, Zwan MD, Thijssen DH, Wouters H, Sikkes SA, van Hout HP, van der Flier WM. The Cognitive Online Self-Test Amsterdam (COST-A): Establishing norm scores in a community-dwelling population. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12234. [PMID: 34541288 PMCID: PMC8438682 DOI: 10.1002/dad2.12234] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 07/01/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Heightened public awareness about Alzheimer's disease and dementia increases the need for at-home cognitive self-testing. We offered Cognitive Online Self-Test Amsterdam (COST-A) to independent groups of cognitively normal adults and investigated the robustness of a norm-score formula and cutoff. METHODS Three thousand eighty-eight participants (mean age ± standard deviation = 61 ± 12 years, 70% female) completed COST-A and evaluated it. Demographically adjusted norm scores were the difference between expected COST-A scores, based on age, gender, and education, and actual scores. We applied the resulting norm-score formula to two independent cohorts. RESULTS Participants evaluated COST-A to be of adequate difficulty and duration. Our norm-score formula was shown to be robust: ≈8% of participants in two cognitively normal cohorts had abnormal scores. A cutoff of -1.5 standard deviations proved optimal for distinguishing normal from impaired cognition. CONCLUSION With robust norm scores, COST-A is a promising new tool for research and clinical practice, providing low cost and minimally invasive remote assessment of cognitive functioning.
Collapse
Affiliation(s)
- Leonie N.C. Visser
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
- Division of Clinical GeriatricsCenter for Alzheimer ResearchDepartment of NeurobiologyCare Sciences and SocietyKarolinska InstitutetStockholmSweden
| | - Mark A. Dubbelman
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
| | - Merike Verrijp
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
| | - Lisa Wanders
- Radboud Institute for Health SciencesDepartment of PhysiologyRadboud University Medical CenterNijmegenThe Netherlands
- Top Institute Food and NutritionWageningenThe Netherlands
| | - Sophie Pelt
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
| | - Marissa D. Zwan
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
| | - Dick H.J. Thijssen
- Radboud Institute for Health SciencesDepartment of PhysiologyRadboud University Medical CenterNijmegenThe Netherlands
| | - Hans Wouters
- General Practitioners Research InstituteGroningenThe Netherlands
| | - Sietske A.M. Sikkes
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
- Faculty of Behavioural and Movement SciencesClinical Developmental Psychology & Clinical NeuropsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Hein P.J. van Hout
- Department of General Practice and Medicine for Older PersonsAmsterdam Institute for Public Health Care ResearchVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceAmsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
- Department of Epidemiology and BiostatisticsAmsterdam UMCAmsterdamThe Netherlands
| |
Collapse
|
22
|
Reichold M, Dietzel N, Chmelirsch C, Kolominsky-Rabas PL, Graessel E, Prokosch HU. Designing and Implementing an IT Architecture for a Digital Multicenter Dementia Registry: digiDEM Bayern. Appl Clin Inform 2021; 12:551-563. [PMID: 34134149 PMCID: PMC8208839 DOI: 10.1055/s-0041-1731286] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Background
Registries are an essential research tool to investigate the long-term course of diseases and their impact on the affected. The project digiDEM Bayern will set up a prospective dementia registry to collect long-term data of people with dementia and their caregivers in Bavaria (Germany) supported by more than 300 research partners.
Objective
The objective of this article is to outline an information technology (IT) architecture for the integration of a registry and comprehensive participant management in a dementia study. Measures to ensure high data quality, study governance, along with data privacy, and security are to be included in the architecture.
Methods
The architecture was developed based on an iterative, stakeholder-oriented process. The development was inspired by the Twin Peaks Model that focuses on the codevelopment of requirements and architecture. We gradually moved from a general to a detailed understanding of both the requirements and design through a series of iterations. The experience learned from the pilot phase was integrated into a further iterative process of continuous improvement of the architecture.
Results
The infrastructure provides a standardized workflow to support the electronic data collection and trace each participant's study process. Therefore, the implementation consists of three systems: (1) electronic data capture system for Web-based or offline app-based data collection; (2) participant management system for the administration of the identity data of participants and research partners as well as of the overall study governance process; and (3) videoconferencing software for conducting interviews online. First experiences in the pilot phase have proven the feasibility of the framework.
Conclusion
This article outlines an IT architecture to integrate a registry and participant management in a dementia research project. The framework was discussed and developed with the involvement of numerous stakeholders. Due to its adaptability of used software systems, a transfer to other projects should be easily possible.
Collapse
Affiliation(s)
- Michael Reichold
- Department of Medical Informatics, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Nikolas Dietzel
- Interdisciplinary Center for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Christina Chmelirsch
- Interdisciplinary Center for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Peter L Kolominsky-Rabas
- Interdisciplinary Center for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Elmar Graessel
- Center for Health Services Research in Medicine, Department of Psychiatry and Psychotherapy, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Hans-Ulrich Prokosch
- Department of Medical Informatics, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| |
Collapse
|