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Two-year outcomes of patients with atrial fibrillation treated with rivaroxaban: results from RIVER registry

2021· article· en· W3205500275 on OpenAlexaff
Jan Beyer‐Westendorf, A. John Camm, Saverio Virdone, Keith A.A. Fox, Karen S. Pieper, J.‐Y. Le Heuzey, Sylvia Haas, Gloria Kayani, Bernard J. Gersh, A. G. G. Turpie, A. K. Kakkar

Bibliographic record

VenueEuropean Heart Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineRivaroxabanAtrial fibrillationStroke (engine)Internal medicineEmbolismDosingCardiologyWarfarin

Abstract

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Abstract Introduction Non-vitamin-K oral anticoagulants (NOACs) were recommended in preference to oral vitamin K antagonists (VKAs) in the 2020 updated guidelines for stroke prevention in atrial fibrillation (AF), from the European Society of Cardiology (ESC). Rivaroxaban is a NOAC that is approved in many countries worldwide for reducing the risk of stroke or systemic embolism in patients with nonvalvular atrial fibrillation (AF). Purpose To explore the baseline characteristics, dosing and 2-year outcomes of patients with AF treated with rivaroxaban. Methods RIVaroxaban Evaluation in Real Life setting (RIVER) is a prospective international, multicenter registry of patients with newly diagnosed non-valvular AF treated with rivaroxaban for the prevention of thromboembolic stroke and at least one investigator-determined risk factor for stroke. Results A total of 5043 patients were enrolled into RIVER between January 2015 and June 2017. Mean (SD) age at diagnosis was 69.5 (11.0) years and 55.7% were males. Caucasian patients represented the largest proportion of patients in RIVER (80.3%), followed by Asians (5.5%) and hispanic/latino (3.7%). Almost all patients (98.5%) were prescribed a single daily dose of rivaroxaban, most commonly 20 mg (77.3%) and 15 mg (20.4%), while a 10 mg dose was prescribed in only 2.3% of patients. During the 2-year follow-up, the rates (95% CI) of all-cause mortality, stroke/SE, and major bleeding were 2.75 (2.43 to 3.12), 0.89 (0.72; 1.11), and 1.26 (1.05 to 1.52) per 100 person years, respectively (Figure 1). The most common cardiovascular cause of death was congestive heart failure (30.4%) and myocardial infarction (11.4%). Leading non-cardiovascular causes of death were malignancy (27.4%), respiratory failure (18.9%) and infections/sepsis (13.2%). Over 2 years, 710 (14.1%) of patients discontinued rivaroxaban. The corresponding proportions at 6 months and 1 year were 7.8% and 10.8%, respectively. Out of all the patients who discontinued, 62 (8.7%) restarted rivaroxaban during their follow-up (Table 1). Conclusion During 2 years of follow up in the international, prospective RIVER registry, rivaroxaban treatment for AF was associated with low rates of stroke or major bleeding. Funding Acknowledgement Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): This work was supported by an unrestricted research grant from Bayer AG, Berlin, Germany, to TRI, London, UK. This work is supported by KANTOR CHARITABLE FOUNDATION for the Kantor-Kakkar Global Centre for Thrombosis Science.

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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.044
GPT teacher head0.296
Teacher spread0.252 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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