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Endovascular treatment combined with eptifibatide in patients with acute ischemic stroke: a prospective, multicenter study

2024· article· en· W6966718162 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsEptifibatideThrombolysisModified Rankin ScaleIncidence (geometry)Subarachnoid hemorrhageEndovascular treatmentStroke (engine)Univariate analysis

Abstract

fetched live from OpenAlex

Objective To explore the efficacy and safety of endovascular treatment (EVT) combined with eptifibatide in the treatment of acute ischemic stroke. Methods This study enrolled the 102 acute ischemic stroke patients at 15 centers in China received EVT combined with eptifibatide from April 2019 to March 2020. The primary efficacy outcome was the reperfusion rate of blood vessels within 24 h after treatment [modified Thrombolysis in Cerebral Infarction (mTICI) grade ≥ 2b], while the secondary efficacy outcomes were the complete reperfusion (mTICI grade 3) rate of blood vessels within 24 h after treatment and the 3⁃month neurological function prognosis [modified Rankin Scale (mRS) score ≤ 2]; the incidence of symptomatic intracranial hemorrhage (sICH) within 48 h after treatment was the primary safety outcome, while the incidence of intracranial hemorrhage (ICH), parenchymal hemorrhage (PH), hemorrhagic infarction (HI), remote parenchymal hemorrhage (rPH), intraventricular hemorrhage (IVH), and subarachnoid hemorrhage (SAH) within 48 h, and 3 ⁃ month mortality after treatment were secondary safety outcomes. Univariate and multivariate stepwise Logistic regression analyses were used to screen for the influencing factors of prognosis after EVT combined with eptifibatide for acute ischemic stroke. Results The successful reperfusion (mTICI grade ≥ 2b) rate and complete reperfusion (mTICI grade 3) rate of blood vessels within 24 h after treatment were 86.27% (88/102) and 68.63% (70/102), respectively. The good prognosis (mRS score ≤ 2) rate at 3⁃month after treatment was 54.90% (56/102). The incidence of sICH within 48 h after treatment was 4.90% (5/102). The incidence of ICH was 19.61% (20/102), PH was 11.76% (12/102), HI was 5.88% (6/102), rPH was 1.96% (2/102), IVH was 3.92% (4/102), and there was no SAH within 48 h after treatment. The mortality rate at 3⁃month after treatment was 16.67% (17/102). Logistic regression analysis showed that an admission National Institutes of Health Stroke Scale (NIHSS) score of > 15 was a risk factor for poor prognosis in patients with acute ischemic stroke after EVT combined with eptifibatide (OR = 0.118, 95%CI: 0.046-0.307; P = 0.000), while an Alberta Stroke Program Early CT Score (ASPECTS) of ≥ 6 was a protective factor for good prognosis (OR = 5.871, 95%CI: 1.812-19.020; P = 0.003). Conclusions The combined regimen of eptifibatide and EVT studied in this trial was effective and safe. Optimal administration method and randomized controlled trial are need to be further justified.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.447
Teacher spread0.383 · 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 designNon-randomized trial
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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