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P-023 Spoke-administered intravenous alteplase and outcomes for large vessel occlusion stroke patients in a hub-and-spoke telestroke model

2021· article· en· W3184893914 on OpenAlexaboutno aff
Robert W. Regenhardt, Joseph Rosenthal, Amine Awad, Neal M. Nolan, Joyce McIntyre, Cynthia Whitney, Naif M. Alotaibi, Justin E. Vranic, Christopher J. Stapleton, Aman B. Patel, Natalia S. Rost, Lee H. Schwamm, Thabele M Leslie‐Mazwi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineModified Rankin ScaleStroke (engine)Spoke-hub distribution paradigmOcclusionMiddle cerebral arteryIschemic strokeInternal medicineInternal carotid arteryCardiologyIschemia

Abstract

fetched live from OpenAlex

Introduction The role of intravenous alteplase treatment for emergent large vessel occlusion (ELVO) stroke patients who ultimately undergo endovascular thrombectomy (EVT) has been questioned in recent randomized trials. However, most patients enrolled in these trials presented directly to an EVT-capable hub center (i.e. ‘mothership’ model). We aimed to compare outcomes for ELVO patients transferred to our hub for EVT consideration who were administered alteplase at spoke hospitals (i.e. ‘drip and ship’ model) versus those who were not. Methods ELVO stroke patients who presented to 25 spoke hospitals from January 1, 2018 to June 30, 2020 were retrospectively identified from a prospectively maintained database. Inclusion criteria were transfer for EVT consideration, spoke hospital CTA-defined ELVO, and spoke hospital Alberta stroke program early CT score (ASPECTS) ≥6. ELVO was defined as occlusion of the internal carotid artery terminus, first or second segment of the middle cerebral artery, or basilar artery. Outcomes of interest included adequate reperfusion (TICI 2b-3), any intracerebral hemorrhage (ICH), hub discharge functional independence (modified Rankin scale, mRS ≤2), and 90-day mRS ≤2. Results Inclusion criteria were met for 258 patients. Their median age was 70 years (IQR 60-81), median NIHS stroke scale (NIHSS) was 13 (6-19), and 50% were female. 38% were treated with alteplase at spoke hospitals, and there were no significant differences in baseline characteristics comparing those treated and those not treated except for last known well-to-Telestroke consult time (median 1.6 vs 6.7 hours, p<0.0001). 44% ultimately underwent EVT at the hub with 87% achieving TICI 2b-3. Spoke-administered alteplase was not associated with ICH (OR=1.042, 95%CI=0.390,2.784, p=0.935) and trended toward association with greater TICI 2b-3 (OR=3.589, 95%CI=0.940,13.70, p=0.062). Spoke-administered alteplase independently increased the odds of discharge mRS ≤2 (aOR=2.568, 95%CI=1.159,5.686, p=0.020) and 90-day mRS ≤2 (aOR=3.307, 95%CI=1.591,6.874, p=0.001), even when controlling for last known well, NIHSS, and EVT in multivariable models. Conclusion In this cohort of 258 patients who first presented to spoke hospitals as potential EVT candidates with CTA-defined ELVO and ASPECTS ≥6, treatment with intravenous alteplase at spoke hospitals before transfer significantly increased the odds of discharge and 90-day functional independence without increasing the odds of ICH. Intravenous alteplase should not be withheld from ELVO patients who first present to spoke hospitals capable of its administration but requiring transfer for EVT. Additional studies are warranted to confirm benefits of spoke-administered alteplase in other hub-and-spoke models and to understand the minimum distance and transfer time associated with benefit. Disclosures R. Regenhardt: None. J. Rosenthal: None. A. Awad: None. N. Nolan: None. J. McIntyre: None. C. Whitney: None. N. Alotaibi: None. J. Vranic: None. C. Stapleton: None. A. Patel: None. N. Rost: None. L. Schwamm: None. T. Leslie-Mazwi: None.

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)0.001
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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.274
Teacher spread0.259 · 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".

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Published2021
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