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Record W4400892654 · doi:10.1136/jnis-2024-snis.62

O-062 Association of admission hyperglycemia with symptomatic intracranial hemorrhage among patients receiving tenecteplase versus alteplase before stroke thrombectomy

2024· article· en· W4400892654 on OpenAlexaboutno aff
P Hendrix, Parvaiz A Koul, C Schirmer, Michael Lang, A Al-Bayati, Raul G. Nogueira, Bradley A. Gross

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsTenecteplaseMedicineStroke (engine)Internal medicineCardiologyThrombolysisMyocardial infarction

Abstract

fetched live from OpenAlex

Background and Purpose Admission hyperglycemia is an independent predictor of poor functional outcome in acute ischemic stroke. Stroke thrombolysis with alteplase (TPA) among patients with admission hyperglycemia is associated with increased risk of symptomatic intracranial hemorrahge (sICH) and decreased recanalization rates. Lately, tenecteplase (TNK) has been established as a non-inferior alternative to TPA in acute ischemic stroke care. The impact of admission hyperglycemia in TNK compared to TPA prior to large vessel occlusion (LVO) stroke thrombectomy requires further investigation. Methods LVO stroke patients who received intravenous thrombolysis with TPA or TNK before endovascular treatment were retrospectively reviewed. During the study period 01/2020 - 06/2023, the authors’ stroke-systems switched from TPA to TNK as their primary thrombolytic. Of consecutive 569 patients, 476 met inclusion criteria: proximal LVO, pre-stroke modified Rankin Scale (mRS) < 3, last-known-well to intravenous thrombolysis (LKW-to-IVT) ≤ 4.5 hours. Admission hyperglycemia was defined as ≥ 140 mg/dl and sICH as parenchymal hemorrhage associated with neurological decline of National Institute of Health Stroke Scale (NIHSS) ≥ 4. Multivariate logistic analysis was performed. Results Among 476 patients, 261 (54.8%) received TNK and 215 (45.2%) TPA prior to EVT. The site of occlusion was the M1 middle cerebral artery (MCA) (45.6%), M2 MCA (27.9%), internal carotid artery (14.3%), tandem carotid with M1 or M2 MCA (9.5%) and basilar artery (2.7%). Baseline demographics (age, sex, NIHSS, LKW-to-IVT, Alberta Stroke Program Early CT Score) and admission hyperglecmia rates (TNK 32.8% and TPA 33.5%) were comparable. Admission hyperglycemia was significantly associated with sICH (area under the curve 0.71, 95% CI 0.66 - 0.75, p=0.003). In multivariate analysis, admission hyperglycemia remained independently associated with sICH (adjusted odds ratio 3.9, 95% CI 1.3 - 12.0, p=0.017). Admission hyperglycemia effects were similar in TNK compared to TPA groups. Conclusions Among LVO stroke patients receiving intravenous thrombolysis prior to EVT, admission hyperglycemia is significantly associated with risk of sICH. The detrimental effects of admission hyperglycemia were similar with TNK compared to TPA prior to EVT. Disclosures P. Hendrix: None. P. Koul: None. C. Schirmer: None. M. Lang: None. A. Al-Bayati: None. R. Nogueira: None. B. Gross: 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)0.000
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.005
GPT teacher head0.230
Teacher spread0.225 · 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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Citations0
Published2024
Admission routes1
Has abstractyes

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