Abstract WP5: Reperfusion Reduces Brain Edema in Patients With Acute Ischemic Stroke. A MR CLEAN Substudy
Bibliographic record
Abstract
Introduction: The main objective of this study was to elucidate the relation between reperfusion and brain edema. The secondary objective was to evaluate if brain edema partially mediated worse outcome in patients without reperfusion, or in patients with delayed reperfusion or a lower ASPECTS. Methods: MR CLEAN was a prospective, randomized, multicenter clinical trial of endovascular treatment (EVT) compared to conventional care. In this exploratory post hoc study, 462 of 500 patients were included. Brain edema was assessed by midline shift (MLS) measured on follow-up CT scans. Reperfusion status was assessed by the modified thrombolysis in cerebral infarction (mTICI) score in the EVT arm. The modified Arterial Occlusive Lesion (mAOL) score was used to evaluate the recanalization status in both arms. The associations between MLS and modified Rankin Scale (mRS), and MLS with reperfusion or recanalization were performed in univariable and multivariable analyses. Mediation analyses were performed to determine whether MLS was partially responsible for worse functional outcome in the groups without reperfusion or recanalization, and in the groups with delayed reperfusion or lower ASPECTS. Results: Reperfusion and recanalization were associated with reduced likelihood of having MLS (acOR 0.26, 95%CI 0.13-0.51, p < 0.001; acOR 0.38, 95%CI 0.24-0.60, p < 0.001 respectively). Accordingly, the presence of MLS was associated with an increased risk of worse 90-day outcome (acOR 3.89, CI 2.71-5.61, p < 0.001). In mediation analysis, MLS was partially responsible for worse mRS scores in patients without reperfusion or recanalization, and in those with delayed reperfusion or lower ASPECTS (MLS changed the logistic regression coefficients by 30.3%, 12.6%, 33.3%, and 64.2%, respectively). Conclusion: Successful reperfusion or recanalization reduces brain edema, reflected by MLS. The presence of MLS mediated part of the worse functional outcomes in patients without reperfusion or in those patients with delayed reperfusion or a lower ASPECTS. This study confirms a pleiotropic benefit of reperfusion that extends beyond the concept of rescuing ischemic brain tissue at risk for infarction.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".