The Relationship Between Inflammatory Markers and Post Stroke Cognitive Impairment
Bibliographic record
Abstract
OBJECTIVE: To determine whether there is a relationship between inflammatory markers (serum C-reactive protein (CRP) and cytokines) and post stroke cognitive impairment (PSCI). METHODS: This was a cross-sectional observational study. Patients were recruited from 4 sources: (1) the acute stroke unit of a general hospital, (2) an outpatient stroke prevention clinic, (3) a stroke rehabilitation unit in a specialized geriatric hospital, or (4) a stroke rehabilitation unit of a rehabilitation hospital. Patients meeting National Institute of Neurological and Communicative Disorders and Stroke (NINCDS) and World Health Organization Multinational Monitoring of Trends and Determinants in Cardiovascular Disease (WHO-MONICA) project criteria for stroke were invited to participate in this study within the first 5 to 31 days post stroke. Patients with subarachnoid or intracranial hemorrhage, decreased level of consciousness, severe aphasia or dysarthria, or a significant acute medical, neurological, or psychiatric illness were excluded. Clinical assessments included the Mini-Mental State Examination (MMSE) for cognition, the National Institutes of Health Stroke Scale (NIHSS) for stroke severity, and the Center for Epidemiological Studies-Depression Scale (CES-D) for depressive symptoms. Enzyme-linked immunosorbent assay (ELISA) was used to measure serum concentrations of CRP, interleukin 6 (IL-6), and interferon gamma (IFN-gamma). RESULTS: A total of 48 patients with ischemic stroke (age [mean +/- SD] 71.6 +/- 13.2 years, 54.2% male, MMSE 26.4 +/- 3.8, NIHSS 6.8 +/- 4.0) were recruited within their first month post stroke. Backward stepwise elimination linear regression showed that higher concentrations of serum CRP (beta(CRP) = -0.46, p( CRP) = 0.002) predicted lower post stroke global cognition ([MMSE], F1,44 = 11.31, P = .002), with age (P = .92), level of education (P = .22), infarct side (P = 0.49), IL-6 (P = 0.36), and IFN-gamma (P = .57) removed from the final model. CONCLUSIONS: A post stroke inflammatory response may be important in subacute, PSCI.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".