TY - JOUR
T1 - Designing the next-generation clinical care pathway for Alzheimer’s disease
AU - Hampel, Harald
AU - Au, Rhoda
AU - Mattke, Soeren
AU - van der Flier, Wiesje M.
AU - Aisen, Paul
AU - Apostolova, Liana
AU - Chen, Christopher
AU - Cho, Min
AU - de Santi, Susan
AU - Gao, Peng
AU - Iwata, Atsushi
AU - Kurzman, Ricky
AU - Saykin, Andrew J.
AU - Teipel, Stefan
AU - Vellas, Bruno
AU - Vergallo, Andrea
AU - Wang, Huali
AU - Cummings, Jeffrey
N1 - Funding Information:
R.A.’s grant support includes National Institutes of Health (NIH) grants (AG062109, AG068753, AG072654 and AG063635). Additional support was provided by the American Heart Association (20SFRN35360180 and 20SFRN35490098), the Alzheimer’s Drug Discovery Foundation (201902-2017835) and Gates Ventures. W.M.v.d.F received support from the Research of Alzheimer center Amsterdam, which is part of the neurodegeneration research program of Amsterdam Neuroscience. The chair of W.v.f.F is supported by the Pasman stichting. W.F. is a recipient of ABOARD, which is a public–private partnership receiving funding from ZonMW (73305095007) and Health~Holland, Topsector Life Sciences & Health (PPP allowance, LSHM20106). More than 30 partners participate in ABOARD. H.W. receives research grant from the National Brain Project funded by the Ministry of Science and Technology, China (2021ZD0201805). C.C. is supported by the National Medical Research Council of Singapore (MOH-000707-00, NMRC/OFLCG/2019, NMRC/CIRG/1485/2018 and NMRC/CSA-SI/0007/2016). The Gérontopôle (chair B.V.) has received research grant support from the European Commission as well as industries including Biogen, Green Valley Pharmaceuticals, Novo Nordisk, Pfizer, Pierre-Fabre, Roche, Lily and Eisai. J.C. is supported by NIGMS grant P20GM109025, NINDS grant U01NS093334, NIA grants R01AG053798, P20AG068053 and R35AG71476 and the Alzheimer’s Disease Drug Discovery Foundation. A.S. receives support from multiple NIH grants (P30 AG010133, P30 AG072976, R01 AG019771, R01 AG057739, U01 AG024904, R01 LM013463, R01 AG068193, T32 AG071444, U01 AG068057 and U01 AG072177). The authors thank D. Henley for his contribution to the critical revision of the Perspective. Medical writing support was provided by L. O’Brien of CMC AFFINITY, McCann Health Medical Communications and was funded by Eisai.
Publisher Copyright:
© 2022, Springer Nature America, Inc.
PY - 2022/8/1
Y1 - 2022/8/1
N2 - The reconceptualization of Alzheimer’s disease (AD) as a clinical and biological construct has facilitated the development of biomarker-guided, pathway-based targeted therapies, many of which have reached late-stage development with the near-term potential to enter global clinical practice. These medical advances mark an unprecedented paradigm shift and requires an optimized global framework for clinical care pathways for AD. In this Perspective, we describe the blueprint for transitioning from the current, clinical symptom-focused and inherently late-stage diagnosis and management of AD to the next-generation pathway that incorporates biomarker-guided and digitally facilitated decision-making algorithms for risk stratification, early detection, timely diagnosis, and preventative or therapeutic interventions. We address critical and high-priority challenges, propose evidence-based strategic solutions, and emphasize that the perspectives of affected individuals and care partners need to be considered and integrated.
AB - The reconceptualization of Alzheimer’s disease (AD) as a clinical and biological construct has facilitated the development of biomarker-guided, pathway-based targeted therapies, many of which have reached late-stage development with the near-term potential to enter global clinical practice. These medical advances mark an unprecedented paradigm shift and requires an optimized global framework for clinical care pathways for AD. In this Perspective, we describe the blueprint for transitioning from the current, clinical symptom-focused and inherently late-stage diagnosis and management of AD to the next-generation pathway that incorporates biomarker-guided and digitally facilitated decision-making algorithms for risk stratification, early detection, timely diagnosis, and preventative or therapeutic interventions. We address critical and high-priority challenges, propose evidence-based strategic solutions, and emphasize that the perspectives of affected individuals and care partners need to be considered and integrated.
UR - https://www.scopus.com/pages/publications/85136999324
U2 - 10.1038/s43587-022-00269-x
DO - 10.1038/s43587-022-00269-x
M3 - Article
C2 - 37118137
SN - 2662-8465
VL - 2
SP - 692
EP - 703
JO - Nature Aging
JF - Nature Aging
IS - 8
ER -