Evaluation of stroke prognostication using age and National Institute of Health Stroke Scale index for outcome after early endovascular treatment for anterior circulation large vessel occlusion
Bibliographic record
Abstract
Objective To evaluate the value of stroke prognostication using age and National Institute of Health Stroke Scale index(SPAN) for outcome after early endovascular treatment for anterior circulation large vessel occlusion. Methods The patients who underwent early endovascular treatment were prospectively, sequentially collected in Yijishan Hospital of Wannan Medical College from December 2014 to September 2017 and Jinling Hospital from March 2014 to March 2017. Individuals whose age in years plus NIHSS score was greater than or equal to 100 were designated as SPAN-100-positive patients, while those with a score less than 100 were designated as SPAN-100-negative patients. We compared the baseline data and perioperative data between the two groups. The 90 days modified Rankin Scale score≤2 was regarded as favorable outcome. Single factor and multivariable Logistic regression analyses were used to determine the association between SPAN-100 and outcomes. Results One hundred and ninety patients were enrolled, 20(10.5%) of which were SPAN-100 positive, and 170(89.5%) were SPAN-100 negative. There were no significant differences between the two groups on postoperative intracerebral hemorrhage and 90 days mortality. Ninety days independence rates were higher in SPAN-100-negative patients(77/170, 45.3%) than in SPAN-100 positive patients (4/20, 20.0%; χ2=4.681, P=0.030). Multi-factor Logistic regression analysis showed that the higher preoperation systolic pressure (OR=1.030, 95% CI 1.008-1.052, P=0.007), the lower Alberta Stroke Program Early CT Score (OR=1.609, 95% CI 1.056-2.453, P=0.027) and poor collateral circulation(OR=5.714, 95% CI 1.668-19.570, P=0.006) were the independent risk factors of outcomes. Conclusion SPAN-100 is not an independent predictor of favorable outcome after adjusting for factors of outcomes in patients with anterior circulation large vessel occlusion. Key words: Stroke; Age; Mechanical thrombectomy; Prognosis; Risk factors
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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 | 0.000 |
| 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".