Outcomes of General Anesthesia and Conscious Sedation in Endovascular Treatment for Stroke
Bibliographic record
Abstract
Background Recent studies have strongly indicated the benefits of endovascular therapy for acute ischemic stroke, but what remains a continued debate is the role for general anaesthesia versus conscious sedation (CS) for such procedures. Retrospective studies have found poorer neurological outcomes in patients who underwent general anesthesia (GA); however, some have revealed worse baseline stroke severity in these patients. Methods This study is a retrospective cohort study aimed at comparing mortality and morbidity of GA versus CS in patients treated with endovascular intervention in acute ischemic stroke. Chi-square and t-test analyses were used. Results Patients in the GA (n=42) group were more likely to be deceased than those in the CS (n=67) group at hospital discharge, 3 months, and 6 months poststroke onset. Morbidity, as defined by modified Rankin Score, was significantly greater in the GA group at hospital discharge, and a similar trend was seen in morbidity at 3 months postdischarge. Conclusion General anesthesia for endovascular intervention in acute ischemic stroke was associated with increased mortality and poorer neurological incomes compared with conscious sedation. In our study, age, gender, history of hypertension, history of diabetes, and baseline National Institute of Health Stroke Scale were not significantly different between the groups. Although the need for a randomized, prospective study on this topic is clear, our study represents further corroboration of the safety and efficacy of conscious sedation in these procedures.
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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 | 0.001 | 0.006 |
| 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 | 0.001 | 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".