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This study applies newly proposed LATE expert consensus diagnostic criteria in a tertiary memory clinic cohort. Participants aged over 50 from the Amsterdam Dementia Cohort were classified as Probable LATE, Possible LATE, Possible LATE-AD, or AD based on clinical, radiological, and biomarker profiles. Cognitive decline, atrophy, and mortality were analyzed using linear mixed-effects and Cox proportional hazards models.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/characterization-of-individuals-fulfilling-clinical-criteria-for-limbic-predominant-age-related-tdp43-encephalopathy-late-in-a-tertiary-memory-clinic/455967/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/characterization-of-individuals-fulfilling-clinical-criteria-for-limbic-predominant-age-related-tdp43-encephalopathy-late-in-a-tertiary-memory-clinic/455967.png","ImageObject",300,407,{"name":92,"@type":93},"Fahsai","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the purpose of applying the LATE consensus criteria in this study?","Question",{"text":112,"@type":113},"To test the newly proposed expert consensus diagnostic criteria for LATE within a tertiary memory clinic population and categorize individuals based on clinical, radiological, and AD biomarker profiles.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were participants categorized into Probable LATE, Possible LATE, Possible LATE-AD, and AD?",{"text":117,"@type":113},"Participants meeting the LATE consensus scheme were grouped as Probable LATE, Possible LATE, or Possible LATE-AD (LATE clinical/radiological profile plus AD biomarker profile). Participants not fulfilling LATE criteria but meeting NIA-AA AD criteria were categorized as AD.",{"name":119,"@type":110,"acceptedAnswer":120},"What outcomes were compared across groups?",{"text":121,"@type":113},"Cognitive decline and atrophy were compared using linear mixed-effects models, and mortality rates were compared using Cox proportional hazard models.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},455967,1790793174,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":24,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},549768702563,"https://ap-avatar.wpscdn.com/avatar/8000c4aa63b76e948b?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786536092046926083","DOI: 10. 1002/alz70856_104809  \nBIOMARKERS  \nPODIUM PRESENTATION  \nBIOMARKERS (NON-NEUROIMAGING)  \nCharacterization of individuals fulfilling clinical criteria for limbic-predominant age-related TDP43 encephalopathy (LATE) in a tertiary memory clinic  \nColin Groot 1  Ismael Luis Calandri2, 3 Hannah de Bruin 1, 6  Maria Carrigan7  \nIlse Bader4  Suzie Kamps4  \nDiana I. Bocancea5   Lotte A. de Koning3, 8  \nSophie E. Mastenbroek3, 9  Roos M. Rikken3, 8  Bastiaan G J van Tol 10   \nMarie R. Vermeiren11  Alex J. Wesseling 12  Ye Xia 13  Charlotte E. Teunissen 1, 14 Elsmarieke van de Giessen 15  Frederik Barkhof 16  Laura E. Jonkman4   \nSven J van der Lee 17  Casper de Boer 18  Annemieke J. M. Rozemuller 19 Floor Duits20  Betty M. Tijms20  Wiesje M. van der Flier21  Yolande A. L. Pijnenburg22  Emma M. Coomans23  Rik Ossenkoppele24  \n1Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, Netherlands  \n2 Fleni, CABA, Buenos Aires, Netherlands  \n3Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands  \n4Amsterdam Neuroscience, Neurodegeneration, Amsterdam, Netherlands  \n5Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands  \n6 Institute for Stroke and Dementia Research, Klinikum der Ludwig-Maximilians Universität München, Munich, Germany  \n7Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, North Holland, Netherlands  \n8 Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, Netherlands  \n9 Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden  \n10 Division of Clinical Geriatrics, Center for Alzheimer Research, Department of  \nAbstract  \nBackground: Limbic-predominant age-related TDP-43 encephalopathy (LATE) clinically mimics and often co-occurs with Alzheimer’s disease (AD). Expert consensus criteria have been proposed for the LATE clinical diagnosis, integrating clinical and radiological features, and AD biomarkers. Here, we applied the newly proposed criteria in a tertiary memory clinic population.  \nMethod: We included participants from the Amsterdam Dementia Cohort aged >50 years who received a diagnosis of MCI or dementia between1997-2024. Following the LATE consensus criteria scheme (Figure 1), we categorized participants as “Probable LATE”,“Possible LATE” or “Possible LATE-AD”(i.e. LATE clinical and radiological profile with AD biomarker profile). Participants not fulfilling criteria for LATE but fulfilling NIA-AA criteria for AD were categorized as AD. We compared the LATE groups with AD on cognitive decline (N = 1046, N Mean time=2. 7[1.8] years) and atrophy (N = 208, Mean time=2. 1[1.6]) using linear-mixed effects models, and on mortality rates using Cox proportional hazard models.  \nResult: Of the 3367 individuals, 1920 were classified into one of the four groups. Fiftyone (1.5%) were classified as Probable LATE, 102 (3.0%) as Possible LATE, 122 (3.6%) as Possible LATE-AD, and 1645 (48.8%) as AD (Table 1). Compared to AD, Probable  \nThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.  \n© 2025 The Alzheimer’s Association. Alzheimer’s & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer’s Association.  \nAlzheimer’s Dement. 2025;21(Suppl. 2):e104809.  \n[https://doi.org/10.1002/alz70856_104809](https://doi.org/10.1002/alz70856_104809)  \nwi[leyonlinelibrary.com/journal/alz](leyonlinelibrary.com/journal/alz)  \n1of5  \nNeurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Stockholmslän, Sweden  \n11 Department of Radiology & Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands  \n12Amsterdam UMC, location VUm","cbCaijKLwSrRT6ba","https://ap.wps.com/l/cbCaijKLwSrRT6ba","pdf",1667621,"English","# Background\n# Method\n# Result","[{\"question\":\"What is the purpose of applying the LATE consensus criteria in this study?\",\"answer\":\"To test the newly proposed expert consensus diagnostic criteria for LATE within a tertiary memory clinic population and categorize individuals based on clinical, radiological, and AD biomarker profiles.\"},{\"question\":\"How were participants categorized into Probable LATE, Possible LATE, Possible LATE-AD, and AD?\",\"answer\":\"Participants meeting the LATE consensus scheme were grouped as Probable LATE, Possible LATE, or Possible LATE-AD (LATE clinical/radiological profile plus AD biomarker profile). Participants not fulfilling LATE criteria but meeting NIA-AA AD criteria were categorized as AD.\"},{\"question\":\"What outcomes were compared across groups?\",\"answer\":\"Cognitive decline and atrophy were compared using linear mixed-effects models, and mortality rates were compared using Cox proportional hazard models.\"}]","Characterization of individuals fulfilling clinical criteria for limbic-predominant age-related TDP43 encephalopathy (LATE) in a tertiary memory clinic | PDF",1790744805,13]