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Introduction: Cognitive impairment is common but often overlooked due to motor symptoms in progressive supranuclear palsy-Richardson syndrome (PSP-RS). This study investigates whether cognitive deficits predict disease progression in PSP-RS.
Methods: A total of 146 PSP-RS from the Tilavonemab trial were evaluated at baseline and over 52 weeks using the PSP-Rating Scale (PSPRS), the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), and the Unified Parkinson's Disease Rating Scale Part-II (UPDRS-II). Multiple linear regression analyses were performed between the RBANS, UPDRS-II, and the PSPRS change. Clinical scores, gray matter volumes, and neurofilament-light chain (NfL) were compared using analyses of covariance (ANCOVAs) and linear mixed models between language score-groups.
Results: Lower RBANS-language at baseline predicted greater PSPRS worsening over time. The low language-score group showed poorer cognitive performance, elevated NfL, and reduced gray matter volume in language-related areas.
Discussion: Speech/language deficits predict worse prognosis in PSP-RS, emphasizing the value of including language scores in clinical trials.
Highlights: Speech and language deficits predict a worse prognosis in progressive supranuclear palsy-Richardson syndrome (PSP-RS). Lower language scores are associated with worse cognitive performance over time. Lower language scores related to higher neurofilament-light chain (NfL) at baseline. The low language-score group presented greater atrophy in language-related brain areas. Stratifying PSP-RS cases using language scores may improve clinical trials.
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http://dx.doi.org/10.1002/alz.70485 | DOI Listing |
BJOG
September 2025
Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota, USA.
Objective: To compare maternal and neonatal adverse outcomes between women who are English proficient (EP) and those who have limited English proficiency (LEP).
Design: Retrospective cohort study.
Setting: Single US academic medical centre with interpreter services.
Diabetes Obes Metab
September 2025
Eli Lilly and Company, Indianapolis, Indiana, USA.
Aims: To determine whether adults with type 2 diabetes (T2D) treated with retatrutide report greater changes in self-reported appetite, dietary restraint, and disinhibition compared to placebo or dulaglutide and to examine associations with weight change.
Materials And Methods: These pre-specified exploratory analyses examined changes from baseline in Appetite Visual Analogue Scale (VAS) and Eating Inventory (EI) scores after 24 and 36 weeks of once-weekly treatment with placebo, dulaglutide 1.5 mg, or retatrutide 0.
Anat Sci Educ
September 2025
Department of Anatomy, Hamidiye Faculty of Medicine, University of Health Sciences, Istanbul, Turkey.
Educational materials advocating whole-body donation must be accurate, easy to read, and transparent, as one potential solution to the fact that the supply of donations is not keeping pace with educational demand, thereby disrupting anatomy education programs. The use of AI technologies to supplement communications with prospective donors and next of kin deserves investigation to determine whether LLM-based approaches meet the common requirements for effective communication. This study contributes to the limited literature on LLM-supported communications by presenting a comparative quantitative benchmark and an adaptable evaluation framework.
View Article and Find Full Text PDFJ Voice
September 2025
Department of Speech and Language Therapy, Faculty of Health Sciences, Hacettepe University, Ankara, Turkey. Electronic address:
Objectives: In individuals over 65, age is an essential factor in voice changes. Acoustic and aerodynamic norms guide clinicians in interpreting clinical voice assessment results. This study aimed to present aerodynamic-acoustic voice measurements in older individuals with no voice complaints.
View Article and Find Full Text PDFInt J Obstet Anesth
August 2025
Department of Liver Transplant Anaesthesia, Institute of Liver and Biliary Sciences, New Delhi, India.
Background: Epidural analgesia is the gold standard for labor pain relief, yet performing patient education remains challenging due to time constraints, language barriers, and variable health literacy. Traditional educational approaches often fail to ensure adequate patient understanding. Artificial intelligence (AI) interactive avatars offer a novel solution for delivering standardized, empathetic, and accessible patient education.
View Article and Find Full Text PDF