Management of Acute Ischemic Stroke in the Interventional Neuroradiology Suite During the COVID-19 Pandemic: A Global Survey
Bibliographic record
Abstract
BACKGROUND: According to early reports, patients affected by coronavirus disease 2019 (COVID-19) are at an increased risk of developing cerebrovascular events, including acute ischemic stroke (AIS). The COVID-19 pandemic may also impose difficulties in managing AIS patients undergoing endovascular thrombectomy (EVT), as well as concerns for the safety of health care providers. This international global survey aims to gather and summarize information from tertiary care stroke centers on periprocedural pathways and endovascular management of AIS patients during the COVID-19 pandemic. METHODS: A cross-sectional survey-based research questionnaire was sent to 259 tertiary care stroke centers with neurointerventional facilities worldwide. RESULTS: We received 114 responses (response rate: 44%) from 25 different countries across all 5 continents. The number of AIS patients and EVT cases were reported to have decreased during the pandemic. Most participants reported conducting COVID-19 testing before (49%) or after the procedure (31%); 20% of centers did not test at all. Only 16% of participating centers reported using a negative pressure room for the thrombectomy procedure. Strikingly, 50% of participating centers reported no changes in the anesthetic management of AIS patients undergoing EVT during the pandemic. CONCLUSIONS: This global survey provides information on the challenges in managing AIS patients undergoing EVT during the COVID-19 pandemic. Its findings can be used to improve patient outcomes and the safety of the health care team worldwide.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".