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Browsing by Author "Tyrone, Jamie"

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    Considerations for widespread implementation of blood-based biomarkers of Alzheimer's disease
    (Wiley, 2024) Mielke, Michelle M.; Anderson, Matthew; Ashford, J. Wesson; Jeromin, Andreas; Lin, Pei-Jung; Rosen, Allyson; Tyrone, Jamie; VandeVrede, Lawren; Willis, Deanna; Hansson, Oskar; Khachaturian, Ara S.; Schindler, Suzanne E.; Weiss, Joan; Batrla, Richard; Bozeat, Sasha; Dwyer, John R.; Holzapfel, Drew; Jones, Daryl Rhys; Murray, James F.; Partrick, Katherine A.; Scholler, Emily; Vradenburg, George; Young, Dylan; Braunstein, Joel B.; Burnham, Samantha C.; de Oliveira, Fabricio Ferreira; Hu, Yan Helen; Mattke, Soeren; Merali, Zul; Monane, Mark; Sabbagh, Marwan Noel; Shobin, Eli; Weiner, Michael W.; Udeh-Momoh , Chinedu T.; Medicine, School of Medicine
    Diagnosing Alzheimer's disease (AD) poses significant challenges to health care, often resulting in delayed or inadequate patient care. The clinical integration of blood-based biomarkers (BBMs) for AD holds promise in enabling early detection of pathology and timely intervention. However, several critical considerations, such as the lack of consistent guidelines for assessing cognition, limited understanding of BBM test characteristics, insufficient evidence on BBM performance across diverse populations, and the ethical management of test results, must be addressed for widespread clinical implementation of BBMs in the United States. The Global CEO Initiative on Alzheimer's Disease BBM Workgroup convened to address these challenges and provide recommendations that underscore the importance of evidence-based guidelines, improved training for health-care professionals, patient empowerment through informed decision making, and the necessity of community-based studies to understand BBM performance in real-world populations. Multi-stakeholder engagement is essential to implement these recommendations and ensure credible guidance and education are accessible to all stakeholders.
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    Recommendations for clinical implementation of blood-based biomarkers for Alzheimer's disease
    (Wiley, 2024) Mielke, Michelle M.; Anderson, Matthew; Ashford, J. Wesson; Jeromin, Andreas; Lin, Pei-Jung; Rosen, Allyson; Tyrone, Jamie; Vandevrede, Lawren; Willis, Deanna R.; Hansson, Oskar; Khachaturian, Ara S.; Schindler, Suzanne E.; Weiss, Joan; Batrla, Richard; Bozeat, Sasha; Dwyer, John R.; Holzapfel, Drew; Jones, Daryl Rhys; Murray, James F.; Partrick, Katherine A.; Scholler, Emily; Vradenburg, George; Young, Dylan; Braunstein, Joel B.; Burnham, Samantha C.; de Oliveira, Fabricio Ferreira; Hu, Yan Helen; Mattke, Soeren; Merali, Zul; Monane, Mark; Sabbagh, Marwan Noel; Shobin, Eli; Weiner, Michael; Udeh-Momoh, Chinedu T.; Medicine, School of Medicine
    Blood-based biomarkers (BBM) for Alzheimer's disease (AD) are being increasingly used in clinical practice to support an AD diagnosis. In contrast to traditional diagnostic modalities, such as amyloid positron emission tomography and cerebrospinal fluid biomarkers, BBMs offer a more accessible and lower cost alternative for AD biomarker testing. Their unique scalability addresses the anticipated surge in demand for biomarker testing with the emergence of disease-modifying treatments (DMTs) that require confirmation of amyloid pathology. To facilitate the uptake of BBMs in clinical practice, The Global CEO Initiative on Alzheimer's Disease convened a BBM Workgroup to provide recommendations for two clinical implementational pathways for BBMs: one for current use for triaging and another for future use to confirm amyloid pathology. These pathways provide a standardized diagnostic approach with guidance on interpreting BBM test results. Integrating BBMs into clinical practice will simplify the diagnostic process and facilitate timely access to DMTs for eligible patients.
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    The Advisory Group on Risk Evidence Education for Dementia: Multidisciplinary and Open to All
    (IOS Press, 2022) Rosen, Allyson C.; Arias, Jalayne J.; Ashford, J. Wesson; Blacker, Deborah; Chhatwal, Jasmeer P.; Chin, Nathan A.; Clark, Lindsay; Denny, Sharon S.; Goldman, Jill S.; Gleason, Carey E.; Grill, Joshua D.; Heidebrink, Judith L.; Henderson, Victor W.; Lavacot, James A.; Lingler, Jennifer H.; Menon, Malavika; Nosheny, Rachel L.; Oliveira, Fabricio F.; Parker, Monica W.; Rahman-Filipiak, Annalise; Revoori, Anwita; Rumbaugh, Malia C.; Sanchez, Danurys L.; Schindler, Suzanne E.; Schwarz, Christopher G.; Toy, Leslie; Tyrone, Jamie; Walter, Sarah; Wang, Li-san; Wijsman, Ellen M.; Zallen, Doris T.; Aggarwal, Neelum T.; Medical and Molecular Genetics, School of Medicine
    The brain changes of Alzheimer’s disease and other degenerative dementias begin long before cognitive dysfunction develops, and in people with subtle cognitive complaints, clinicians often struggle to predict who will develop dementia. The public increasingly sees benefits to accessing dementia risk evidence (DRE) such as biomarkers, predictive algorithms, and genetic information, particularly as this information moves from research to demonstrated usefulness in guiding diagnosis and clinical management. For example, the knowledge that one has high levels of amyloid in the brain may lead one to seek amyloid reducing medications, plan for disability, or engage in health promoting behaviors to fight cognitive decline. Researchers often hesitate to share DRE data, either because they are insufficiently validated or reliable for use in individuals, or there are concerns about assuring responsible use and ensuring adequate understanding of potential problems when one’s biomarker status is known. Concerns include warning people receiving DRE about situations in which they might be compelled to disclose their risk status potentially leading to discrimination or stigma. The Advisory Group on Risk Evidence Education for Dementia (AGREEDementia) welcomes all concerned with how best to share and use DRE. Supporting understanding in clinicians, stakeholders, and people with or at risk for dementia and clearly delineating risks, benefits, and gaps in knowledge is vital. This brief overview describes elements that made this group effective as a model for other health conditions where there is interest in unfettered collaboration to discuss diagnostic uncertainty and the appropriate use and communication of health-related risk information.
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