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Long-Term Bleeding Risk Prediction with Dual Antiplatelet Therapy After Acute Coronary Syndromes Treated Without Revascularization

2020· article· en· W3082553983 on OpenAlexaff
Guillaume Marquis‐Gravel, Megan L. Neely, Marco Valgimigli, Francesco Costa, David van Klaveren, Rituparna Altner, Deepak L. Bhatt, Paul W. Armstrong, Keith A.A. Fox, Harvey D. White, E. Magnus Ohman, Matthew T. Roe

Bibliographic record

VenueCirculation Cardiovascular Quality and Outcomes · 2020
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsCanadian VIGOUR Centre
Fundersnot available
KeywordsMedicineRevascularizationCardiologyInternal medicineTerm (time)Myocardial infarction

Abstract

fetched live from OpenAlex

BACKGROUND: Longitudinal bleeding risk scores have been validated in patients treated with dual antiplatelet therapy (DAPT) following percutaneous coronary intervention. How these scores apply to the population of patients with acute coronary syndrome (ACS) treated without revascularization remains unknown. The objective was to evaluate and compare the performances of the PRECISE-DAPT, PARIS, and DAPT (bleeding component) bleeding risk scores in the medically managed patients with ACS treated with DAPT. METHODS AND RESULTS: TRILOGY ACS (Targeted Platelet Inhibition to Clarify the Optimal Strategy to Medically Manage Acute Coronary Syndromes) was a double-blind, placebo-controlled randomized trial conducted from 2008 to 2012 over a median follow-up of 17.0 months in 966 sites (52 countries). High-risk patients with unstable angina or non-ST-segment-elevation myocardial infarction who did not undergo revascularization were randomized to prasugrel or clopidogrel. The PRECISE-DAPT, PARIS, and DAPT (bleeding component) risk scores were applied in the TRILOGY ACS population to evaluate their performance to predict adjudicated non-coronary artery bypass grafting-related GUSTO (Global Use of Strategies to Open Occluded Coronary Arteries) severe/life-threatening/moderate and TIMI (Thrombolysis in Myocardial Infarction) major/minor bleeding with time-dependent c-indices. Among the 9326 participants, median age was 66 years (interquartile range, 59-74 years), and 3650 were females (39.1%). A total of 158 (1.69%) GUSTO severe/life-threatening/moderate and 174 (1.87%) TIMI major/minor non-coronary artery bypass grafting bleeding events occurred. The c-indices (95% CI) of the PRECISE-DAPT, PARIS, and DAPT (bleeding component) scores through 12 months were 0.716 (0.677-0.758), 0.693 (0.658-0.733), and 0.674 (0.637-0.713), respectively, for GUSTO bleeding and 0.624 (0.582-0.666), 0.612 (0.578-0.651), and 0.608 (0.571-0.649), respectively, for TIMI bleeding. There was no significant difference in the c-indices of each score based upon pairwise comparisons. CONCLUSIONS: Among medically managed patients with ACS treated with DAPT, the performances of the PRECISE-DAPT, PARIS, and DAPT (bleeding component) scores were reasonable and similar to their performances in the derivation percutaneous coronary intervention populations. Bleeding risk scores may be used to predict longitudinal bleeding risk in patients with ACS treated with DAPT without revascularization and help support shared decision making. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT00699998.

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)0.001
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 score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.037
GPT teacher head0.280
Teacher spread0.243 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

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