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Record W4283812646 · doi:10.1161/svin.121.000327

Direct to Angio‐Suite Large Vessel Occlusion Stroke Transfers Achieve Faster Arrival‐to‐Puncture Times and Improved Outcomes

2022· article· en· W4283812646 on OpenAlexaboutno aff
Robert W. Regenhardt, Joseph Rosenthal, Adam A. Dmytriw, Justin E. Vranic, Anna K. Bonkhoff, Martin Bretzner, Joshua A Hirsch, James D. Rabinov, Christopher J. Stapleton, Aman B. Patel, Aneesh B. Singhal, Natalia S. Rost, Thabele M Leslie‐Mazwi, Mark R. Etherton

Bibliographic record

VenueStroke Vascular and Interventional Neurology · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and Stroke
KeywordsMedicineModified Rankin ScaleEmergency departmentThrombolysisCohortStroke (engine)OcclusionSurgeryArrival timeMyocardial infarctionRadiologyIschemic strokeInternal medicineIschemia

Abstract

fetched live from OpenAlex

Background For patients with large vessel occlusion (LVO) stroke, time to treatment with endovascular thrombectomy is crucial to prevent infarction and improve outcomes. We sought to evaluate the hub arrival‐to‐puncture times and outcomes for transferred patients accepted directly to the angio‐suite (LVO to operating room, LVO2OR) versus those accepted through the emergency department in a hub‐and‐spoke telestroke network. Methods Consecutive patients transferred for endovascular thrombectomy with spoke computed tomography angiography–confirmed LVO, spoke Alberta Stroke Program Early Computed Tomography score >6, and last known well–to–hub arrival <6 hours were identified. Our LVO2OR protocol began implementation in January 2017. The LVO2OR cohort includes patients who underwent endovascular thrombectomy from July 2017 to October 2020; the emergency department cohort includes those from January 2011 to December 2016. Hub arrival‐to‐puncture time and 90‐day modified Rankin scale score were prospectively recorded. Results The LVO2OR cohort was composed of 91 patients, and the emergency department cohort was composed of 90 patients. LVO2OR patients had more atrial fibrillation (51% versus 32%; P =0.02) and more M2 occlusions (27% versus 10%; P =0.01). LVO2OR patients had faster median hub arrival‐to‐puncture time (11 versus 92 minutes; P <0.001), faster median telestroke consult‐to‐puncture time (2.4 versus 3.6 hours; P <0.001), greater Thrombolysis in Cerebral Infarction score 2b to 3 reperfusion (92% versus 69%; P <0.001), and greater 90‐day modified Rankin scale score <2 (35% versus 21%; P =0.04). In a multivariable model, LVO2OR significantly increased the odds of 90‐day modified Rankin scale score <2 (adjusted odds ratio, 2.77 [95% CI, 1.07–7.20]; P =0.04) even when controlling for age, baseline modified Rankin scale score, atrial fibrillation, National Institutes of Health Stroke Scale score, M2 occlusion location, and Thrombolysis in Cerebral Infarction score 2b to 3. Conclusions In a hub‐and‐spoke telestroke network, accepting transferred patients directly to the angio‐suite was associated with dramatically reduced hub arrival‐to‐puncture time and may lead to improved 90‐day outcomes. Direct–to–angio‐suite protocols should continue to be evaluated in other geographic regions and telestroke network models.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.007
GPT teacher head0.244
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2022
Admission routes1
Has abstractyes

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