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E-161 Intra-arterial tissue plasminogen activator is a safe adjunctive therapy to mechanical thrombectomy

2018· article· en· W2945053314 on OpenAlexaboutno aff
Mohammad Anadani, S Ajinky, Ali Alawieh, Arindam Chatterjee, Jan Vargas, Raymond D Turner, Aquilla S Turk, M Imran Chaudry, Alejandro M Spiotta

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineModified Rankin ScaleTissue plasminogen activatorStroke (engine)Internal medicineIntracerebral hemorrhageFibrinolytic agentSurgeryCerebral infarctionIschemic strokeCardiologySubarachnoid hemorrhageIschemia

Abstract

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Introduction Intra-arterial tissue plasminogen activator (IA-tPA) has been widely used in conjunction with mechanical thrombectomy (MT) or as rescue therapy. Data on the safety of IA-tPA during thrombectomy is scarce. Objective To report the safety outcome of MT with IA tPA and compare it to MT without IA-tPA. Methods We reviewed our prospectively maintained data and identified patients who received mechanical thrombectomy between 11/1/2014 to 4/1/2017. Collected variables included demographics, comorbidities, baseline NIHSS, procedural variables and outcome variables. Hemorrhagic transformation (HT) was divided into hemorrhagic infarction and parenchymal hemorrhage (PH) based on ECASS criteria. Functional outcome was assessed based on modified Rankin Scale (mRS). Results Total of 408 patients were included in this study. 57 patients were treated with MT and IA tPA, and 351 were treated with MT alone. Median IA tPA dose was 5 mg (IQR,4–6). Both groups did not differ in baseline characteristics, comorbidities or admission NIHSS. Around 45% of patients achieved a favorable outcome (mRS ≤2) in both groups (p=0.97). The rate of any hemorrhagic complications and parenchymal hemorrhage (PH) did not differ between groups (any hemorrhage; 38.6% vs 35.9%; p=0.69, PH; 10.5% vs 12.3%; p=0.71). Conclusion Intra-arterial tPA is a safe adjunctive therapy to mechanical thrombectomy. ASPECT, Alberta stroke program early CT score; IV tPA, intravenous tissue plasminogen activator; mRS, modified Rankin Scale; NIHSS, National Institutes of Health Stroke Scale; PH, parenchymal hemorrhage; TICI, Thrombolysis in Cerebral Ischemia. Disclosures M. Anadani: None. S. Ajinky: None. A. Alawieh: None. A. Chatterjee: None. J. Vargas: None. R. Turner IV: 1; C; Codman, Penumbra, Microvention, Pulsar Vascular Stock. 2; C; Codman, Covidien, Penumbra, Microvention, Blockade-Stocks, Pulsar Vascular Stock, Medtronic. 3; C; Codman, Covidien, Penumbra, Microvention, Blockade-Stocks, Pulsar Vascular Stock, Medtronic. A. Turk: 6; C; Codman Consulting, Honorarium, Speaker Bureau, Research Funding; Covidien Consulting, Honorarium, Speaker Bureau; Penumbra Consulting, Honorarium, Speaker Bureau, Research Grants; Microvention Consult. M. Chaudry: 6; C; Codman Consulting, Honorarium, Speaker Bureau, Research Funding; Covidien Consulting, Honorarium, Speaker Bureau; Penumbra Consulting, Honorarium, Speaker Bureau, Research Grants; Microvention Consult. A. Spiotta: 6; C; Penumbra Consulting, Honorarium, Speaker Bureau; Pulsar Vascular Consulting, Honorarium, Speaker Bureau; Microvention Consulting, Honorarium, Speaker Bureau, Research; Stryker Consulting, Honorarium.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.297
Teacher spread0.275 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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