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DOI10.1212/WNL.0000000000200148
Spatial-Temporal Patterns of β-Amyloid Accumulation A Subtype and Stage Inference Model Analysis
Collij, Lyduine E.; Salvado, Gemma; Wottschel, Viktor; Mastenbroek, Sophie E.; Schoenmakers, Pierre; Heeman, Fiona; Aksman, Leon; Wink, Alle Meije; Berckel, Bart N. M.; van de Flier, Wiesje M.; Scheltens, Philip; Visser, Pieter Jelle; Barkhof, Frederik; Haller, Sven; Domingo Gispert, Juan; Alves, Isadora Lopes
通讯作者Collij, LE
来源期刊NEUROLOGY
ISSN0028-3878
EISSN1526-632X
出版年2022
卷号98期号:17页码:E1692-E1703
英文摘要Background and Objectives beta-amyloid (A beta) staging models assume a single spatial-temporal progression of amyloid accumulation. We assessed evidence for A beta accumulation subtypes by applying the data-driven Subtype and Stage Inference (SuStaIn) model to amyloid-PET data. Methods Amyloid-PET data of 3,010 participants were pooled from 6 cohorts (ALFA+, EMIF-AD, ABIDE, OASIS, and ADNI). Standardized uptake value ratios were calculated for 17 regions. We applied the SuStaIn algorithm to identify consistent subtypes in the pooled dataset based on the cross-validation information criterion and the most probable subtype/stage classification per scan. The effects of demographics and risk factors on subtype assignment were assessed using multinomial logistic regression. Results Participants were mostly cognitively unimpaired (n = 1890 [62.8%]), had a mean age of 68.72 (SD 9.1) years, 42.1% were APOE epsilon 4 carriers, and 51.8% were female. A 1-subtype model recovered the traditional amyloid accumulation trajectory, but SuStaIn identified 3 optimal subtypes, referred to as frontal, parietal, and occipital based on the first regions to show abnormality. Of the 788 (26.2%) with strong subtype assignment (>50% probability), the majority was assigned to frontal (n = 415 [52.5%]), followed by parietal (n = 199 [25.3%]) and occipital subtypes (n = 175 [22.2%]). Significant differences across subtypes included distinct proportions of APOE epsilon 4 carriers (frontal 61.8%, parietal 57.1%, occipital 49.4%), participants with dementia (frontal 19.7%, parietal 19.1%, occipital 31.0%), and lower age for the parietal subtype (frontal/occipital 72.1 years, parietal 69.3 years). Higher amyloid (Centiloid) and CSF p-tau burden was observed for the frontal subtype; parietal and occipital subtypes did not differ. At follow-up, most participants (81.1%) maintained baseline subtype assignment and 25.6% progressed to a later stage. Discussion Whereas a 1-trajectory model recovers the established pattern of amyloid accumulation, SuStaIn determined that 3 subtypes were optimal, showing distinct associations with Alzheimer disease risk factors. Further analyses to determine clinical utility are warranted.
类型Article
语种英语
开放获取类型Green Published, hybrid
收录类别SCI-E
WOS记录号WOS:000787364300015
WOS关键词ALZHEIMERS-DISEASE ; PET ; BURDEN
WOS类目Clinical Neurology
WOS研究方向Neurosciences & Neurology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/393866
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GB/T 7714
Collij, Lyduine E.,Salvado, Gemma,Wottschel, Viktor,et al. Spatial-Temporal Patterns of β-Amyloid Accumulation A Subtype and Stage Inference Model Analysis[J],2022,98(17):E1692-E1703.
APA Collij, Lyduine E..,Salvado, Gemma.,Wottschel, Viktor.,Mastenbroek, Sophie E..,Schoenmakers, Pierre.,...&Alves, Isadora Lopes.(2022).Spatial-Temporal Patterns of β-Amyloid Accumulation A Subtype and Stage Inference Model Analysis.NEUROLOGY,98(17),E1692-E1703.
MLA Collij, Lyduine E.,et al."Spatial-Temporal Patterns of β-Amyloid Accumulation A Subtype and Stage Inference Model Analysis".NEUROLOGY 98.17(2022):E1692-E1703.
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