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Abstract 159: Evaluation of Clinical Outcomes among Nonvalvular Atrial Fibrillation Patients Treated With Warfarin or Rivaroxaban Stratified by Presence or Absence of CKD in a Claims Database

2017· article· en· W2604914317 on OpenAlexaff
Lloyd Haskell, Jeffrey S. Berger, Veronica Ashton, François Laliberté, Concetta Crivera, Kip Brown, Patrick Lefèbvre, Jeffrey Schein

Bibliographic record

VenueCirculation Cardiovascular Quality and Outcomes · 2017
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsGroup for Research in Decision AnalysisBerger (Canada)
Fundersnot available
KeywordsRivaroxabanMedicineWarfarinAtrial fibrillationInternal medicineHazard ratioStroke (engine)Kidney diseaseThromboembolic strokeCardiologyDabigatranConfoundingConfidence interval

Abstract

fetched live from OpenAlex

Introduction: Renal functional impairment is linked to an increased risk of thromboembolic and bleeding events in patients with nonvalvular atrial fibrillation (NVAF) treated with warfarin and rivaroxaban. Anticoagulants such as warfarin and rivaroxaban are often recommended to reduce the risk of stroke in NVAF patients. The purpose of this study was to evaluate and compare thromboembolic and bleeding event rates for warfarin and rivaroxaban patients stratified by presence of chronic kidney disease (CKD). Methods: Claims from the IMS Health Real-World Data Adjudicated Claims database from 05/2011-6/2015 were analyzed. Adult patients with NVAF who had ≥6 months of baseline data prior to the first dispensing of warfarin or rivaroxaban after 11/2011 were included. Patients were followed until the end of index therapy or end of data availability/insurance coverage. Outcomes were stratified by presence of CKD for ischemic stroke, major bleeding, and a composite measure of thromboembolic events (ischemic stroke, myocardial infarction (MI) or venous thromboembolism (VTE)) and analyzed using hazard ratios (HRs). Adjustments for confounding were made with inverse probability of treatment weights (IPTW). Results: The analysis included 39,872 rivaroxaban (9.0% [3,572 of 39,872] with CKD) and 48,637 warfarin patients (16.9% [8,230 of 48,637] with CKD). As expected, thromboembolic and bleeding events were more common in patients with CKD than those without CKD. Rivaroxaban patients had significantly lower risk of ischemic stroke, both in the overall population (HR = 0.79 [0.68-0.90], p=0.0008) and for those with CKD (HR = 0.55 [0.40-0.77], p=0.0004). A composite of thromboembolic events were lower with rivaroxaban irrespective of CKD. Major bleeding rates were comparable across all groups. Table 1 reports incidence rates and HRs stratified by presence of CKD. Conclusions: This study suggests that, in an adult population with NVAF, rivaroxaban-treated patients had fewer ischemic strokes across all patients, including patients with renal impairment. Rivaroxaban-treated patients also had significantly better outcomes for the composite (VTE, MI, or stroke) measure across all groups. Bleeding rates were comparable across all groups.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.012
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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 head0.240
GPT teacher head0.443
Teacher spread0.203 · 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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Citations0
Published2017
Admission routes1
Has abstractyes

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