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Abstract 13474: Rivaroxaban Reduces Major Cardiovascular and Limb Events in Patients With the High-risk Triad of Chronic Kidney Disease, Peripheral Artery Disease and Recent Lower Extremity Revascularization: Insights From VOYAGER PAD

2020· article· en· W3102203412 on OpenAlexaff
Judith Hsia, Sonia S. Anand, Mark R. Nehler, Rupert Bauersachs, Manesh R. Patel, Sebastian Debus, Connie N. Hess, Warren H. Capell, Lihong Diao, Scott D. Berkowitz, Eva Muehlhofer, Lloyd Haskell, William R. Hiatt, Marc P. Bonaca

Bibliographic record

VenueCirculation · 2020
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineRivaroxabanCritical limb ischemiaHazard ratioKidney diseaseInternal medicineClinical endpointAspirinPopulationPlaceboStroke (engine)RevascularizationMyocardial infarctionCardiologySurgeryRandomized controlled trialWarfarinConfidence intervalAtrial fibrillation

Abstract

fetched live from OpenAlex

Introduction: Chronic kidney disease (CKD) is common among patients undergoing lower extremity revascularization (LER) for peripheral artery disease (PAD) and identifies a population at high risk for adverse outcomes. The VOYAGER PAD trial demonstrated the efficacy of rivaroxaban in PAD patients after LER on a composite of cardiovascular (CV) and limb ischemic events (HR 0.85 vs placebo, 95% CI 0.76-0.96; p=0.009); this analysis examines the prespecified subgroup of patients with CKD. Methods: VOYAGER PAD (NCT02504216) was a double-blind, placebo-controlled trial which randomized PAD patients with recent LER to rivaroxaban 2.5 mg twice daily or placebo on a background of aspirin 100 mg daily. The primary endpoint was a composite of acute limb ischemia, major amputation for vascular cause, myocardial infarction, ischemic stroke or CV death. The primary safety endpoint was TIMI major bleeding. Analysis of the intention-to-treat population utilized Kaplan Meier estimates and Cox proportional-hazards models. Results: Among 6319 VOYAGER patients with baseline estimated glomerular filtration rate (eGFR), 21% were <60 (mostly CKD stage 3) and 79% were ≥60 ml/min/1.73m 2 . During 28-month (median) follow up, patients with CKD had a higher rate of major CV and limb events: placebo group 10.0 events/100 patient-years (95% CI 8.5, 11.8) for eGFR <60 vs 7.4 (95% CI 6.7, 8.2) for eGFR ≥60. Rivaroxaban reduced primary outcome events with no heterogeneity by eGFR category (Figure, p for interaction 0.62). Acute limb ischemia and major amputation were significantly reduced among patients with eGFR<60 (HR 0.55, 95% CI 0.36, 0.86) as well as ≥60 (HR 0.77, 95% CI 0.63, 0.94). TIMI major bleeding was numerically more frequent among patients with CKD with no heterogeneity by treatment group (Figure, p for interaction 0.37). Conclusions: Rivaroxaban reduced major CV and limb events in patients with PAD undergoing LER, including those with CKD, a particularly high-risk population.

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 score0.009
Threshold uncertainty score0.712

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 head0.009
GPT teacher head0.197
Teacher spread0.188 · 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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