ArticleFrontiers in psychology2025
Psychoneurological symptom clusters in patients with first stroke and relationship with inflammatory markers: a latent profile analysis.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- A latent transition analysis of longitudinal stability of post-stroke fatigue.Social psychiatry and psychiatric epidemiology · 2026Article
- Profiles of Quality of Life Outcomes Observed in Rehabilitation Patients Using Latent Profile Analysis.Archives of physical medicine and rehabilitation · 2026Article
- Post-stroke headache: a review of epidemiology, pathophysiology, and clinical management.Frontiers in neuroscience · 2026Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aimed to explore the relationship between psychoneurological symptom clusters and inflammatory markers in patients with a first stroke. Methods: This study investigated 227 patients with a first stroke using general information questionnaires, Numerical Rating Scale, Pittsburgh Sleep Quality Index, Hospital Anxiety and Depression Scale, Ascertain Dementia 8, Fatigue Severity Scale, and Stroke-Specific Quality of Life. Data analysis included latent profile analysis, one-way analysis of variance, and unordered multicategorical logistic analysis. Results: The psychoneurological symptom clusters of first-stroke patients were categorized into three latent profiles: the low symptom group (45.2%), moderate symptom group (36.7%), and high symptom group (18.1%). Logistic regression analyses showed that younger age, female, higher National Institute of Health Stroke Scale score, higher interleukin-6 level, and higher hypersensitive C-reactive protein level were major predictive factors for the moderate and high symptom groups. Conclusion: Three latent profiles of psychoneurological symptom clusters exist in patients with a first stroke and are associated with markers of inflammation (interleukin-6 and hypersensitive C-reactive protein), thereby affecting their quality of life. These findings extend previous research on psychoneurological symptom clusters in stroke. Further exploration of a broader range of inflammatory markers and psychoneurological symptom clusters is necessary to advance symptom management.
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Registered trials
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