Admission blood pressure indexes and risk of in-hospital death and dependency among acute hemorrhagic stroke patients, Inner Mongolia, China
Bibliographic record
Abstract
PURPOSE: To study the association between blood pressure (BP) SBP, DBP, mean arterial pressure (MAP) and pulse pressure (PP) and clinical outcome in acute hemorrhagic stroke patients in the Chinese population. METHODS: 1,760 hemorrhagic stroke patients admitted to six hospitals from January 1, 2003 to December 31, 2005 were included in the study. BP and other variables were collected within the first 24-hr of admission. Clinical outcomes at discharge were evaluated by neurologists. Multivariate-adjusted odds ratios associated with increment of 1 standard deviation (SD) mmHg in four BP were determined by multiple logistic regression analysis. RESULTS: The four BP indexes at admission were positively associated with death and SBP, DBP, MAP were associated with dependency. Adjusted odds ratios (95% confident interval) of death associated with increment of 1 SD mmHg were 1.74 (1.44,2.12), 1.39 (1.15,1.69),1.61 (1.32,1.96) and 1.66 (1.39,1.99) for SBP, DBP, MAP and PP, respectively (all P < 0.01), and adjusted odds ratio of dependency associated with increment of 1 SD mmHg was 1.15 (1.03,1.27), 1.21 (1.09,1.34) and 1.19 (1.07,1.32) for SBP, DBP and MAP, respectively (all P < 0.05). CONCLUSION: Increased SBP, DBP, MAP and PP at admission were all associated with in-hospital mortality, and increased SBP, DBP and MAP were associated with dependency at discharge among hemorrhagic stroke patients.
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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 | 0.000 |
| 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) | 0.001 | 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".