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Record W1912956730 · doi:10.1136/heartjnl-2014-307346

Characterising and predicting bleeding in high-risk patients with an acute coronary syndrome

2015· article· en· W1912956730 on OpenAlexaff
Razi Khan, Renato D. Lópes, Megan L. Neely, Susanna R. Stevens, Robert A. Harrington, Rafael Díaz, Frank Cools, Petr Janský, Gilles Montalescot, Dan Atar, José López‐Sendón, Marcus Flather, Danny Liaw, Lars Wallentin, John H. Alexander, Shaun G. Goodman

Bibliographic record

VenueHeart · 2015
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsCanadian Heart Research CentreSt. Michael's HospitalUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineTIMIAcute coronary syndromeMyocardial infarctionInternal medicineApixabanGastrointestinal bleedingPlaceboThrombolysisSurgeryWarfarinAtrial fibrillationRivaroxaban

Abstract

fetched live from OpenAlex

OBJECTIVE: In the Apixaban for Prevention of Acute Ischemic Events (APPRAISE-2) trial, the use of apixaban, when compared with placebo, in high-risk patients with a recent acute coronary syndrome (ACS) resulted in a significant increase in bleeding without a reduction in ischaemic events. The aim of this analysis was to provide further description of these bleeding events and to determine the baseline characteristics associated with bleeding in high-risk post-ACS patients. METHODS: APPRAISE-2 was a multinational clinical trial including 7392 high-risk patients with a recent ACS randomised to apixaban (5 mg twice daily) or placebo. Bleeding including Thrombolysis in Myocardial Infarction (TIMI) major or minor bleeding, International Society on Thrombosis and Haemostasis (ISTH) major or clinically relevant non-major (CRNM) bleeding, and any bleeding were analysed using an on-treatment analysis. Kaplan-Meier curves were plotted to describe the timing of bleeding, and a Cox proportional hazards model was used to identify predictors of ISTH major or CRNM bleeding and any bleeding. Median follow-up was 241 days. RESULTS: The proportion of patients who experienced TIMI major or minor, ISTH major or CRNM, and any bleeding was 1.5%, 2.2% and 13.3%, respectively. The incidence of bleeding was highest in the immediate post-ACS period (0.11 in the first 30 days vs 0.03 after 30 days events per 1 patient-year); however, >60% of major bleeding events occurred >30 days after the end of the index hospitalisation. Gastrointestinal bleeding was the most common cause of major bleeding, accounting for 45.9% of TIMI major or minor and 39.5% of ISTH major or CRNM bleeding events. Independent predictors of ISTH major or CRNM bleeding events included older age, renal dysfunction, dual oral antiplatelet therapy, smoking history, increased white cell count and coronary revascularisation. CONCLUSIONS: When compared with placebo, the use of apixaban is associated with an important short-term and long-term risk of bleeding in high-risk post-ACS patients, with gastrointestinal bleeding being the most common source of major bleeding. The baseline predictors of major bleeding appear to be consistent with those identified in lower-risk ACS populations with shorter-term follow-up. CLINICAL TRIAL NO: NCT00831441.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.316

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)0.0000.000

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 head0.011
GPT teacher head0.232
Teacher spread0.220 · 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.

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

Citations19
Published2015
Admission routes1
Has abstractyes

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