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Record W2914531460 · doi:10.1080/24734306.2019.1572268

Poor outcomes after dabigatran-associated intracranial hemorrhage despite idarucizumab reversal

2019· article· en· W2914531460 on OpenAlexaffabout
Josh J. Wang, Éric Villeneuve, Sophie Gosselin

Bibliographic record

VenueToxicology Communications · 2019
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMcGill University Health Centre
FundersFundamental Research Funds for the Central UniversitiesAnhui University of TechnologyNational Natural Science Foundation of China
KeywordsIdarucizumabMedicineDabigatranAntidoteObservational studyIntracerebral hemorrhagePopulationIntensive care medicineNeurointensive careAnesthesiaWarfarinInternal medicineGlasgow Coma ScaleAtrial fibrillation

Abstract

fetched live from OpenAlex

Intracranial hemorrhage (ICH) is the most deadly bleeding complication associated with anticoagulation. The efficacy of idarucizumab in treating dabigatran-associated ICH in the real world is uncertain. We sought to assess patient outcomes in this sick population. This was a 2-year prospective observational study of functional neurologic status in patients who received idarucizumab following dabigatran-associated ICH across three tertiary Canadian hospitals. The primary outcome was disability on the modified Rankin scale thirty days after antidote administration. Five patients received idarucizumab for dabigatran-associated ICH. The median time to idarucizumab administration was 43 minutes (range: 2–163 minutes). Four patients were dead at 30 days. The fifth patient was in a minimally conscious state with hemiparesis requiring full nursing care. Three patients were transitioned to palliative care based on their advanced directives and dismal prognosis as determined by the treating team. High quality care should not include idarucizumab when it is unlikely to achieve patients’ previously stated goals of care. However, rapid administration of this expensive antidote is often necessary when information is incomplete.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.001

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 head0.040
GPT teacher head0.333
Teacher spread0.293 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes2
Has abstractyes

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