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Record W2011815816 · doi:10.1159/000319029

Does Current Oral Antiplatelet Agent or Subtherapeutic Anticoagulation Use Have an Effect on Tissue-Plasminogen-Activator-Mediated Recanalization Rate in Patients with Acute Ischemic Stroke?

2010· article· en· W2011815816 on OpenAlexaff
Mohamed M. Ibrahim, Joseph Sebastian, Muhammad Shazam Hussain, Raja Rizwan Hussain, Ken Uchino, Carlos A. Molina, Khurshid Khan, Andrew M. Demchuk, Andrei V. Alexandrov, Maher Saqqur

Bibliographic record

VenueCerebrovascular Diseases · 2010
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicineTissue plasminogen activatorStroke (engine)CardiologyInternal medicineIschemic strokePlasminogen activatorIschemia

Abstract

fetched live from OpenAlex

OBJECTIVE: Our goal is to assess if current antiplatelet (AP) use has an effect on recanalization rate and outcome in acute stroke patients. METHODS: We conducted a retrospective analysis of acute stroke patients who received intravenous (IV) recombinant tissue plasminogen activator (rt-PA) and had transcranial Doppler examination within 3 h of symptom onset. The TCD findings were interpreted using the Thrombolysis in Brain Ischemia flow grading system as persistent arterial occlusion, reocclusion or complete recanalization. Complete recanalization was defined as established Thrombolysis in Brain Ischemia 4 or 5 within 2 h of IV rt-PA. The patients were divided based on their current use of AP agents. Comparisons were made between the different groups based on recanalziation rate, reocclusion and good long-term outcome (mRS ≤ 2) using χ(2) test. Multiple regression analysis was used to identify AP use as a predictor for recanalization and outcome including symptomatic intracranial hemorrhage after controlling for age, baseline NIHSS score, time to treatment, previous vascular event, hypertension and diabetes mellitus. RESULTS: Two hundred and eighty-four patients were included; 154 (54%) males, 130 (46%) females, with a mean age of 69.5 ± 13 years. The median baseline NIHSS score was 16 ± 5. The median time to TCD examination was 131 ± 38 min from symptom onset. The median time to IV rt-PA was 140 ± 34 min. One hundred eighty patients were not on AP prior to their stroke, 76 were on aspirin, 15 were on clopidogrel, 2 were on aspirin-dipyridamole combination, 2 were on both aspirin and clopidogrel, and 9 patients on subtherapeutic coumadin. In patients who were naïve to AP, 68/178 (38.2%) had complete recanalization, whereas in the AP group, 25/91 (28%) had complete recanalization. Patients on aspirin alone had a lower recanalization rate (16/72) as compared to those not on AP (22 vs. 39%) (p = 0.017), while those on clopidogrel had higher rates of complete recanalization (9/19, 60%). There was no difference in the rate of symptomatic intracranial hemorrhages in patients on AP agents as compared to those not on AP (9/180, 5% vs. 9/95, 9.5%) (p = 0.13). A good long-term outcome (mRS ≤2) was achieved in 85/160 (53%) of the patients naïve to AP and in 33/84 (39%) of the patients on AP (p = 0.035). In multiple regression, AP use was not a predictor of either recanalization rate (p = 0.057) or good outcome (p = 0.27). CONCLUSIONS: No correlation was found between AP use and recanalization rate and good outcome in patients with acute stroke who received IV rt-PA treatment. Prior AP use should not defer patients from receiving IV rt-PA treatment in an acute stroke setting.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.267
Teacher spread0.255 · 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 teacher head, not a consensus.

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

Citations29
Published2010
Admission routes1
Has abstractyes

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