Association of baseline plasma fibrinogen levels with cognitive and affective status at 30 and 90 days in individuals with ischemic stroke: A prospective study from Nigeria
Bibliographic record
Abstract
BACKGROUND: The influence of fibrinogen as a risk factor in developing poststroke neuropsychological and cognitive problems is underreported. This study aimed to evaluate the relationship between baseline fibrinogen levels and depression, anxiety, and cognition 30- and 90-day after stroke. METHODS: This prospective study involved 48 patients with first-ever mild-to-moderate ischemic stroke, whose plasma fibrinogen levels were assessed within 24 h of stroke onset. Clinical depression, anxiety, and cognitive impairment were evaluated by the Hospital Anxiety and Depression Scale and Montreal Cognitive Assessment at 30- and 90-day after stroke. RESULTS: < 0.05). The receiver operating characteristic curve showed that baseline fibrinogen threshold > 409.0 mg/dl (82.4% sensitivity and 71.0% specificity), >405.0 mg/dl (80.0% sensitivity and 71.4% specificity), and > 400.0 mg/dl (80.6% sensitivity and 76.5% specificity) could respectively predict the presence of depression, anxiety, and cognitive impairment 90 days after stroke. CONCLUSIONS: High levels of baseline plasma fibrinogen are associated with the onset and severity of symptoms of depression, anxiety, and cognitive decline at 30 and 90 days after stroke. This study shows that fibrinogen may be a viable target for monitoring and intervention in the management of poststroke neuropsychological and cognitive disorders. Future clinical trials are needed to clarify whether defibrinogenation will prevent or reduce the rate and severity of symptoms of depression, anxiety, and cognitive decline among patients with ischemic stroke. TRIAL REGISTRATION: Pan African Clinical Trial Registry (registration number: PACTR202406755848901).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".