Predictors and outcome of early neurological deterioration after endovascular thrombectomy: a secondary analysis of the DIRECT-MT trial
Bibliographic record
Abstract
BACKGROUND: There is uncertainty regarding the predictors of early neurological deterioration (END) after endovascular thrombectomy in patients with acute ischemic stroke (AIS). Limited studies have focused on the effect of END on functional outcome. Our aim was to determine the predictors of END after endovascular thrombectomy in AIS and its effect on functional outcome at 90 days. METHODS: This is a secondary analysis of the DIRECT-MT trial. Patients who failed to complete endovascular thrombectomy were additionally excluded. END was defined as ≥4-point increase in National Institutes of Health Stroke Scale score between admission and 24 hours after endovascular thrombectomy. Multivariable logistic regression was used to identify predictors for END and its effect on the modified Rankin Scale (mRS) score at 90 days. RESULTS: Of 591 patients enrolled, 111 (18.8%) had postoperative END, which was associated with higher ordinal mRS score at 90 days (adjusted common OR (aOR) 6.968, 95% CI 4.444 to 10.926). Non-modifiable factors included baseline Alberta Stroke Program Early CT Score (aOR 0.883, 95% CI 0.790 to 0.987), systolic blood pressure (aOR 1.017, 95% CI 1.006 to 1.028), glucose level (aOR 1.178, 95% CI 1.090 to 1.273), collateral status (aOR 0.238, 95% CI 0.093 to 0.608), occlusion site (aOR 0.496, 95% CI 0.290 to 0.851) and the presence of an anterior communicating artery (aOR 0.323, 95% CI 0.148 to 0.707). Admission-to-groin puncture time (aOR 1.010, 95% CI 1.003 to 1.017), general anesthesia (aOR 2.299, 95% CI 1.193 to 4.444), number of passes (aOR 1.561, 95% CI 1.243 to 1.961) and contrast extravasation (aOR 6.096, 95% CI 1.543 to 24.088) were modifiable predictors for END. CONCLUSIONS: Postoperative END is associated with adverse functional outcome. Several non-modifiable and modifiable factors can predict END and support future treatment decision-making to improve the potential utility of endovascular thrombectomy. TRIAL REGISTRATION NUMBER: DIRECT-MT ClinicalTrials.gov NCT03469206.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".