Predictors of independent outcome of thrombectomy in stroke patients with large baseline infarcts in clinical practice: a multicenter analysis
Bibliographic record
Abstract
OBJECTIVE: To analyze outcome and its predictors after endovascular treatment (ET) in stroke patients suffering from large vessel occlusion with large pre-treatment infarct cores defined by an Alberta Stroke Program Early CT Score (ASPECTS) <6. METHODS: We analyzed data from an industry-independent, multicenter, prospective registry (German Stroke Registry - Endovascular Treatment) which enrolled consecutive patients treated by ET (June 2015-April 2018) with different devices. Multivariate logistic regression analyses identified predictors of independent outcome (IO) defined as a modified Rankin Scale (mRS) 0-2, and mortality at 90 days in patients with ASPECTS <6. RESULTS: Of 1700 patients included in the analysis, 152 (8.9%) had a baseline ASPECTS <6. Of these, 33 patients (21.6%) achieved IO, and 68 (44.7%) were dead at 90 days. A lower age, lower baseline National Institutes of Health Stroke Scale (NIHSS) score, and successful recanalization (defined as modified Thrombolysis in Cerebral Infarction Score, mTICI 2b/3) were predictors of IO. Successful recanalization had the strongest association with IO (OR 7.0, 95% CI 1.8 to 26.8). Pre-treatment parameters predicting IO were age <70 years (sensitivity 0.79, specificity 0.69) and NIHSS <12 (0.57 and 0.94). A higher age, a pre-stroke mRS score >1, and failed recanalization were predictors of death. CONCLUSIONS: A substantial proportion of stroke patients with an ASPECTS <6 can achieve independence after thrombectomy, in particular, if they are younger, have only moderate baseline stroke symptoms, and no relevant pre-stroke disability. These results may encourage considering thrombectomy in low ASPECTS patients in clinical practice until randomized trials are available.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".