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Record W4409897132 · doi:10.1161/strokeaha.124.049966

Association of Biomarkers With Intracerebral Hematoma Expansion and Arterial Thromboembolic Events in Patients With Acute Intracranial Hemorrhage: The ANNEXA-I Biomarker Substudy

2025· article· en· W4409897132 on OpenAlexaff
John W. Eikelboom, Mukul Sharma, Lizhen Xu, Krister Bamberg, Jan Beyer‐Westendorf, Cecilia Falkenberg, Per Ladenvall, Robert C. Penland, Peter Verhamme, Ashkan Shoamanesh

Bibliographic record

VenueStroke · 2025
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsPopulation Health Research Institute
Fundersnot available
KeywordsMedicineHematomaIntracerebral hemorrhageBiomarkerInternal medicineStroke (engine)AnesthesiaRandomized controlled trialCardiologySurgerySubarachnoid hemorrhage

Abstract

fetched live from OpenAlex

BACKGROUND: ANNEXA-I (Andexanet Alfa, a Novel Antidote to the Anticoagulation Effects of FXA Inhibitors) was a randomized trial that demonstrated that andexanet compared with usual care in patients with intracranial hemorrhage associated with FXa (factor Xa) inhibitor treatment reduces the risk of hematoma expansion and increases the risk of arterial thromboembolic events. METHODS: In a secondary analysis of the ANNEXA-I trial, we compared the effects of andexanet with usual care on change in anti-FXa activity and endogenous thrombin potential (ETP) using Wilcoxon rank-sum test. We examined the associations between 1-hour reduction in anti-FXa and 1-hour increase in ETP and hematoma expansion at 12 hours (≥12.5 mL or percentage volume change ≥35%) using logistic regression, both unadjusted and adjusted for time from symptom onset to baseline scan, baseline diastolic blood pressure, hematoma volume, baseline biomarker level and time from baseline scan to treatment, and association with arterial thromboembolic events (ischemic stroke, myocardial infarction, and systemic embolism) during 30 days of follow-up using Cox regression, both unadjusted and adjusted for age, baseline biomarker level, prior myocardial infarction, and eligibility for treatment with high-dose andexanet. RESULTS: ANNEXA-I enrolled 530 patients. Among 438 patients with baseline anti-FXa results, andexanet compared with usual care reduced anti-FXa activity at 1 hour (median, 8.6 versus 97.5 ng/mL; median reduction from baseline, 98.3 versus 10.9 ng/mL; P <0.001). Among 328 patients with baseline ETP data, andexanet compared with usual care increased ETP at 1 hour (median, 1573.5 versus 874.5 nmol/L-min; median increase, 753.1 versus 126.6 nmol/L-min; P <0.001). In adjusted analyses, reduction in anti-FXa at 1 hour was associated with reduced hematoma expansion (per 100 ng/mL: odds ratio, 0.69 [95% CI, 0.53–0.92]; P =0.010), and increase in ETP at 1 hour was associated with reduced hematoma expansion (per 100 nmol/L-min: odds ratio, 0.94 [95% CI, 0.90–0.99]; P =0.019) and risk of thromboembolic events (per 100 nmol/L-min: odds ratio, 1.08 [95% CI, 1.00–1.16]; P =0.047). CONCLUSIONS: In patients with apixaban- or rivaroxaban-associated intracranial hemorrhage, andexanet compared with usual care produces greater reduction in anti-FXa and greater increase in ETP at 1 hour. Reduction in anti-FXa from baseline to 1 hour is independently associated with reduced hematoma expansion, and increase in ETP from baseline to 1 hour is independently associated with both reduced hematoma expansion and increase of thromboembolic events. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03661528.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.249
Teacher spread0.244 · 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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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