Plasma Phosphorylated Tau 217 Cutoffs for Amyloid Pathology and Kidney Function, Body Mass Index, and Anemia
Year: 2026
Type: article
Study design: Observational Study
Abstract: Importance: Plasma phosphorylated p-tau 217 levels vary with biological factors such as kidney dysfunction, body mass index (BMI), and anemia. It remains unclear whether a biological subgroup-specific optimal cutoff or a double-cutoff strategy could enhance diagnostic accuracy and cost efficiency beyond the standard single cutoff. Objective: To compare the diagnostic and economic performance of 3 plasma p-tau217 classification strategies for detecting amyloid-β (Aβ) positivity: standard single cutoff, subgroup-specific optimal cutoff, and double cutoff. Design, Setting, and Participants: This cohort study was a multicenter cross-sectional study conducted from 2016 to 2023; analyses were completed in 2025. Participants were recruited from multiple memory clinics and community-based cohorts. All participants had amyloid positron emission tomography (PET) imaging, clinical evaluation, and p-tau217 testing with measures of estimated glomerular filtration rate (eGFR), BMI, and hemoglobin. Measurements of p-tau217 were made using UGOT Simoa and Roche Elecsys, and the %p-tau217 ratio was assessed using a tau multianalyte assay (C2N Diagnostics LLC). Exposures: Kidney function (chronic kidney disease [CKD], eGFR <60 mL/min/1.73 m2; advanced CKD, eGFR <45 mL/min/1.73 m2), underweight (BMI <18.5), obesity (BMI ≥27.5), and anemia (hemoglobin <12 g/dL in women, <13 g/dL in men). Main Outcomes and Measures: Plasma p-tau217 concentration; standard single cutoff, optimal cutoffs, and double cutoff for Aβ positivity (Centiloid ≥25.5); accuracy; and cost-effectiveness estimated from false-positive, false-negative, and confirmatory imaging costs. Results: A total of 2571 participants were analyzed with UGOT, 1578 with Roche, and 304 with the C2N %p-tau217 ratio. The mean (SD) age was similar across cohorts (71.3 [8.6] years in the UGOT cohort, 71.3 [8.5] years in the Roche cohort, and 71.8 [7.8] years in the C2N cohort); there were 1633 (63.5%), 1006 (63.8%), and 191 (62.8%) women and 938 (36.5%), 572 (36.2%), and 113 (37.2%) men, respectively. In the UGOT cohort, the optimal cutoff improved diagnostic accuracy compared with the standard single cutoff, particularly in CKD and anemia (CKD: from 0.65; 95% CI, 0.57-0.72; to 0.83; 95% CI, 0.76-0.89; anemia: from 0.80; 95% CI, 0.76-0.84; to 0.86; 95% CI, 0.82-0.90), with consistent findings in the Roche cohort. In all biological subgroups, the double-cutoff strategy also increased accuracy relative to the single cutoff and reduced false classifications but yielded 12% to 39% intermediate results. When compared directly, the optimal cutoff provided higher accuracy than the double cutoff for CKD while lowering total diagnostic costs. For anemia, the double cutoff showed slightly higher accuracy but required confirmatory PET in up to 25% of cases, offsetting its economic advantage. In obesity, the double cutoff remained superior for both diagnostic accuracy and cost efficiency. Conclusions and Relevance: This study found that both the optimal cutoff and the double-cutoff strategy outperformed the standard single cutoff, each showing distinct strengths across subgroups. These findings support biologically informed thresholds to improve diagnostic accuracy and cost efficiency when implementing plasma p-tau217.
Source: JAMA Neurology
Authors: Jihwan Yun, Jungah Lee, Daeun Shin, Eun Hye Lee, Jun Pyo Kim, Hongki Ham, Yuna Gu, Min Young Chun, Sung Hoon Kang, Hee Jin Kim, Duk L. Na, Ko Woon Kim, Si Eun Kim, Yeshin Kim, Jaeho Kim, Na-Yeon Jung, Yeo Jin Kim, Soo Hyun Cho, Jin San Lee, Seonghyeon Kim, Henrik Zetterberg, Kaj Blennow, Fernando Gonzalez-Ortiz, Nicholas J. Ashton, Joel B. Braunstein, Philip B. Verghese, Tim West, Matthew R. Meyer, Sang Won Seo, Hyemin Jang, K-ROAD Study Groups, Youngsoo Kim, Sun-Ho Han, JoonKyung Seong, Jun-Kyu Choi, Eek-Sung Lee, Tak-Kyeong Lee, Juhee Chin, Chi-Hun Kim, Hee Jin Kim, Haesook Bok, Hang-Rai Kim, Seung Joo Kim, Seunghee Na, Geon Ha Kim, Jin San Lee, Hanna Cho, Byeong C. Kim, Dong Young Lee, So Young Moon, Min Soo Byun, Giijung Jung, Dahyun Yi, Han Na Lee, Jae-Won Jang, Jee Hyang Jeong, Young Hee Jung, Jong Hun Kim, Youngju Kim, Bo Kyoung Cheon, Jinkyu Seo, Young Noh, Hyunjung Yang, Youngji Ha, Hae-Eun Shin, Kyunghun Kang, SungHui Eom, Ki Young Shin, Yeongshin Kim, Jisung Jang, Changsik Yoon, Do kyung Lee, Hongki Ham, Yu Hyun Park, Soo-Jong Kim, Byunghyun Byun, Yejoo Choi, Na Kyung Lee, Hong-Hee Won, Minyoung Cho, Sang-Hyuk Jung, Dong Hyun Lee, Beomsu Kim
Institutions: Kyung Hee University, Kyung Hee University Medical Center, Samsung Medical Center, Sungkyunkwan University, Hallym University, Hallym University Dongtan Sacred Heart Hospital, Yonsei University, Yonsei University Health System, Yongin Severance Hospital, Korea University Guro Hospital, Jeonbuk National University Hospital, Jeonbuk National University, Inje University Haeundae Paik Hospital, Inje University Busan Paik Hospital, Kangwon National University, Kangdong Sacred Heart Hospital, Pusan National University Yangsan Hospital, Chonnam National University, Chonnam National University Hospital, Sahlgrenska University Hospital, UK Dementia Research Institute, UCL Queen Square Institute of Neurology, University College London, University of Gothenburg, University of Science and Technology of China, Sorbonne Université, Institut des Sciences Moléculaires, Pitié-Salpêtrière Hospital, Institut du Cerveau, King's College London, Stavanger University Hospital, C2N Diagnostics (United States), Asan Medical Center, University of Ulsan
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funders: Alzheimer's Association, University of Wisconsin-Madison, Demensförbundet, National Institute for Health and Care Research, King's College London, University College London, European Commission, National Research Foundation, Chonnam National University, Kangwon National University, Pusan National University, University of Ulsan, Hallym University, Inje University, Sungkyunkwan University, Korea Health Industry Development Institute, National Research Foundation of Korea, Vetenskapsrådet, Sahlgrenska Universitetssjukhuset, Göteborgs Universitet, University of Science and Technology of China, Ministry of SMEs and Startups, Ministry of Science and ICT, South Korea, Jeonbuk National University, UK Dementia Research Institute, Sorbonne Université, Fondation pour la Recherche sur Alzheimer, Samsung, School of Medicine and Public Health, University of Wisconsin-Madison, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Korea National Institute of Health, Sahlgrenska Akademin, Institute for Information and Communications Technology Promotion, School of Life Sciences and Biotechnology Division of Life Sciences, Korea University
Awards: The Alzheimer’s Association quality control (QC) program for CSF and plasma biomarkers - Continuation, G1451011034, Understanding Alzheimer Blood Biomarkers for Tau Pathology, G2501682398, G2756832787, The Alzheimer biomarker toolbox – use in pathogenic studies, diagnostics and theragnostics, G3126964432, G4094717929, G4288937912, G4439372880, G4700831490, G490925689, G5033034723, Multi-omics Interdisciplinary Research Integration to Address DEmentia diagnosis, G7699972493
OpenAlex ID: W7127189063
