Results 231 to 240 of about 2,940,613 (295)

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai, Audrey Zhu, Chunxuan Ma, Ming Wang, Yifan Yang, Lynn M. Bekris, Maria Khrestian, Frank P. DiFilippo, Mikhail Nasrallah, Aaron Burberry, James B. Leverenz, Yuan Hou, Feixiong Cheng, Stephen M. Rao   +13 more
wiley   +1 more source

Dysregulated Cholesterol Metabolism, Chronic Inflammation, and Disability in Severe Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Dysregulated lipid metabolism, which can affect remyelination and neural repair, has not been extensively investigated in progressive multiple sclerosis (PMS). The goal was to examine whether dysregulated cholesterol metabolism was associated with disability in PMS. Methods The study sample comprised 53 Severe PMS patients (Expanded
Taylor R. Wicks, Mujeeb Shittu, Anna Wolska, Diala Ghazal, Bianca Weinstock‐Guttman, Alexander Burnham, Alan T. Remaley, Robert Zivadinov, Murali Ramanathan   +8 more
wiley   +1 more source

Clinical Variability and Genotype Driven Outcomes in an International Cohort of 14 Pediatric FIG4 Patients

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Biallelic FIG4 variants classically cause distinct conditions characterized by peripheral neuropathy (Charcot‐Marie‐Tooth disease type 4J) or skeletal dysplasia (Yunis‐Varón syndrome). However, central nervous system involvement is increasingly recognized. The prevalence and specific characteristics of movement disorders within FIG4‐
Andrea Gangfuß, Vykuntaraju K. Gowda, Daniel Natera‐de Benito, Pinki Munot, Maria Vanegas, Alejandra Darling, Constanze Reutlinger, Laura Carrera‐Garcia, Gilbert Wunderlich, Heike Kölbel, Burkhard Stüve, David Muhmann, Lucía Monfort Belenguer, Diana‐Gabriela Barca, Viveka Santhosh Reddy C, Varunvenkat M. Srinivasan, Cristina Molina Anguita, Heinz Jungbluth, Hormos Salimi Dafsari, Thomas Rossor, Johann Böhm, Ulrike Schara‐Schmidt, Andreas Roos   +22 more
wiley   +1 more source

Improving the Diagnostic Accuracy of Plasma Alzheimer's Disease Biomarkers With Objective and Subjective Cognitive Screening

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Blood‐based biomarkers are increasingly used to identify Alzheimer's disease (AD) pathology and may play an important role in early disease screening and participant selection for clinical trials. However, their performance across stages of cognitive impairment remains unclear. This study examined whether plasma biomarkers differ in
Maryam Abdolmaleki, Leslie S. Gaynor, Dandan Liu, Timothy J. Hohman, Katherine A. Gifford, Henrik Zetterberg, Angela L. Jefferson, Corey J. Bolton   +7 more
wiley   +1 more source

Serostatus‐Specific Prognostic Profiles and Phenotype‐Dependent Therapeutic Windows in Autoimmune Encephalitis: A Multicenter Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background While autoimmune encephalitis (AE) outcomes vary, serostatus‐specific prognostic determinants and institutional clustering effects remain poorly characterized. We aimed to delineate the distinct prognostic architecture of AE, identifying serostatus‐specific risk factors and potential therapeutic windows.
Xiaohong Tang, Jingxian Wang, Kaixin Zhu, Zhen Zhang, Liao Wu, Wei Wang, Chang Li, Qingyun Li, Hao Li, Jinghua Chen, Zhangxu Lian, Bin Liu, Tengfei Liu, Chunmei Wen, Nuan Wang, Sen Qun, Lishun Xiao, Qingwei Lai   +17 more
wiley   +1 more source

Molecular Diagnosis in Children With Febrile Seizures: Beyond the Conventional Clinical Classification

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Febrile seizures (FS) are currently classified as simple or complex primarily to describe seizure characteristics, with limited ability to identify the underlying etiology. We evaluated whether molecular diagnosis could complement conventional classification and improve the diagnosis and management of FS.
Jia Wang, Mengna Zhang, Yangyang Wang, Xiuyu Shi, Baoguang Li, Xiuxia Wang, Dan Sun, Sanqing Xu, Jianbo Zhao, Lijun Du, Qiming Pang, Xiaoming Liu, Chunhui Tang, Xiaohua Li, Jiuwei Li, Yanli Ma, Jianxiang Liao, Gulixian Abudureyimu, Jianmin Liang, Yuan Wang, De Wu, Jian Wu, Liping Zou   +22 more
wiley   +1 more source

Health Care Use Among Patients Presenting to Emergency Department for Gout Flares in Ontario, Canada: A Population‐Based Health Systems Analysis

Arthritis Care &Research, EarlyView.
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok, Samantha Morais, William K. Silverstein, Clare L. Atzema, Gregory Choy, Priyanka Chandratre, Ping Li, Jessica Widdifield   +7 more
wiley   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source