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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
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Clinical Manifestations
Axel Fernández-Zaionz1,2, Leticia Vivas1,2
1Institute of Basic and Applied Psychology and Technology (IPSIBAT), National University of Mar del Plata (UNMDP), Psychology Faculty, Mar del Plata, Buenos Aires, Argentina.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
Summary
This study reveals significant symptom variability in logopenic variant Primary Progressive Aphasia (lvPPA), highlighting the need for detailed analysis to identify diverse and potentially mixed profiles for improved diagnosis.
Area of Science:
- Neuroscience
- Linguistics
- Neurology
Background:
- Logopenic variant Primary Progressive Aphasia (lvPPA) has a core profile but exhibits significant clinical variability.
- Previous research indicates symptom heterogeneity and potential mixed variants within lvPPA.
Purpose of the Study:
- To identify and characterize diverse symptomatic profiles in early-stage lvPPA.
- To investigate the presence of mixed profiles within the lvPPA spectrum.
Main Methods:
- Analyzed 7 early-stage lvPPA patients and 90 healthy controls.
- Utilized the Argentine version of the Mini Linguistic State Examination.
- Employed Singlims_ES software for statistical analysis and individual profile comparison.
Main Results:
- Identified profiles consistent with core lvPPA features, alongside significant variations.
- Observed distinct patterns, including severe impairments in repetition, comprehension, and naming in some patients.
- Noted atypical profiles, such as one patient with semantic deficits and preserved naming, suggesting mixed features.
Conclusions:
- Symptomatic diversity within lvPPA is confirmed, with notable discrepancies in patient performance.
- Findings suggest the existence of mixed lvPPA profiles, aligning with prior hypotheses.
- Detailed analysis of individual profiles is crucial for enhancing diagnostic accuracy in PPA.
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