Headache in Cerebral Hemorrhage Is Associated With Inflammatory Markers and Higher Residual Cavity
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The mechanisms responsible for headache in patients with intracerebral hemorrhage (ICH) are not completely understood. The present study was undertaken to analyze the headache-associated factors, the possible related biochemical mechanisms, and the headache potential predictors of outcome in spontaneous ICH. METHODS: We prospectively studied 189 patients from a large cohort of 266 consecutive patients with supratentorial ICH admitted within the first 12 hours of symptoms onset. The presence of headache at stroke onset was evaluated in these patients. The volumes of the initial ICH, peripheral edema at 48 hours, and the residual cavity at 3 months were measured on CT scan. Glutamate, interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-alpha levels were measured in blood samples obtained on admission. The Canadian Stroke Scale (CSS) and the modified Rankin Scale were used to evaluate stroke severity and neurological outcome, respectively. RESULTS: Headache at onset of stroke was observed in 65 patients (34.4%). Patients who experienced headache had a significantly higher frequency of history of infection (P= .009) or inflammation (P= .045), as well as higher body temperature (P= .021), leukocyte count (P= .038), ESR (P= .011), and mass effect (P= .017) on admission. Plasma concentrations of IL-6 and TNF-alpha were significantly higher in patients with headache than in those without. Headache was an independent predictor of the residual cavity volume in patients with spontaneous ICH (odds ratio 6.49; 95% CI 2.51 to 16.78; P= .0001). CONCLUSIONS: Headache at ICH onset is associated with clinical and biochemical markers of inflammation and is an independent predictor of higher residual cavity volume after spontaneous ICH.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".