@article{798845ea607f47738a8a445b586b2d06,
title = "Plasma pTau181 enhances the prediction of future clinical decline in amyloid-positive mild cognitive impairment",
abstract = "Abstract: Plasma pTau181, a marker of amyloid and tau burden, was evaluated as a prognostic predictor of clinical decline and Alzheimer's disease (AD) progression of amyloid-positive (Aβ+) patients with mild cognitive impairment (MCI). The training cohort for constructing the Bayesian prediction models comprised 135 Aβ+ MCI clinical trial placebo subjects. Performance was evaluated in two validation cohorts. An 18-month ≥1 increase in the Clinical Dementia Rating Sum of Boxes was the clinical decline criterion. Baseline plasma pTau181 concentration matched clinical assessments{\textquoteright} prediction performance. Adding pTau181 to clinical assessments significantly improved the prediction of an 18-month clinical decline and the 36-month progression from Aβ+ MCI to AD. The area under the receiver operating characteristic curve for the latter increased from 71.8% to 79%, and the hazard ratio for time-to-progression improved from 2.26 to 3.11 (p < 0.0001). Baseline plasma pTau181 has the potential for identifying Aβ+ MCI subjects with faster clinical decline over time. Highlights: This study assessed pTau181 as a prognostic predictor of 18-month clinical decline and extended progression to Alzheimer's disease (AD) in amyloid-positive patients with mild cognitive impairment (Aβ+ MCI). The research findings underscore the promise of baseline plasma pTau181 as a screening tool for identifying Aβ+ MCI individuals with accelerated clinical decline within a standard 18-month clinical trial period. The predictive accuracy is notably enhanced when combined with clinical assessments. Similar positive outcomes were noted in forecasting the extended progression of Aβ+ MCI subjects to AD.",
keywords = "blood-based biomarkers, disease progression, machine learning, prognosis",
author = "Viswanath Devanarayan and Llano, {Daniel A.} and Hu, {Yan Helen} and Harald Hampel and Lynn Kramer and Shobha Dhadda and Michael Irizarry",
note = "The authors thank the patients, their families, and the sites who participated in these studies. The authors also thank Leema Krishna Murali, Kiran Putti, Saad Anbari, Huihong Chen, Malathi Reddy, and Michio Kanekiyo for their help with the preparation or understanding of clinical data files. The authors are grateful to the anonymous reviewers for their constructive and helpful comments, which have improved the quality and clarity of the manuscript. The authors are grateful to Professor Danielle Harvey from the University of California, Davis, for her invaluable guidance related to the ADNI database. The authors would like to acknowledge the editorial support from Lisa Yarenis (Eisai Inc.) and JD Cox, PhD, and Mayville Medical Communications, funded by Eisai Inc. and in compliance with Good Publication Practice 4 ethical guidelines (DeTora et\u00A0al., Ann Intern Med 2022; August 30, 2022 [epub ahead of print]). Collection and sharing of one of the datasets used in this project were obtained from the ADNI database (adni.loni.usc.edu) and thereby funded by ADNI (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf. ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie; Alzheimer's Association; Alzheimer's Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; Euroimmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer's Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. Funding for the studies, analyses, and editorial support was provided by Eisai Inc.",
year = "2024",
month = jul,
day = "1",
doi = "10.1002/dad2.12621",
language = "English (US)",
volume = "16",
journal = "Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring",
issn = "2352-8729",
publisher = "John Wiley & Sons, Ltd.",
number = "3",
}