Blood pressure in the initial phase of acute ischaemic stroke: Evolution and its role as an independent prognosis factor at discharge and after 3 months of follow‐up
Bibliographic record
Abstract
BACKGROUND: A prospective observational study was aimed at assessing the role of blood pressure (BP) during the first 24 h from stroke onset on the outcome of acute ischaemic stroke. METHODS: Subjects admitted within the first 3 h from stroke onset were included. Stroke severity was evaluated with the Canadian Stroke Scale (CSS). Functional recovery was defined as a modified Rankin Scale score < or =2. RESULTS: One hundred subjects were included. In a logistic regression model, the independent predictors of poor functional recovery at discharge were: age (OR = 1.12; 95% CI 1.04-1.21; p = 0.0033), non-lacunar stroke subtype (OR = 4.31; 95% CI 1.07-17.31; p = 0.0395), diabetes mellitus (OR = 8.38; 95% CI 1.67-41.95; p = 0.0097), a CSS score at admission < or =8 (OR = 28.64; 95% CI 5.59-146.68; p<0.0001), an average systolic BP during the first 6 h > or =180 mmHg (OR = 13.34; 95% CI 1.34-133.10; p = 0.0272) and a lower diastolic BP average from 6 to 24 h (OR for 5 mmHg increase: 0.57; CI 95% 0.36-0.88; p = 0.0115). Similar results were observed after 3 months of follow-up. CONCLUSION: In ischaemic stroke patients, systolic BP over 180 mmHg in the first 6 h and a decrease of diastolic BP during the 6-24 h from stroke onset were independent predictors of a poor functional recovery.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".