Cardiovascular effects of rivaroxaban in heart failure patients with sinus rhythm and coronary disease with and without diabetes: a retrospective international cohort study from COMMANDER-HF
Bibliographic record
Abstract
OBJECTIVES: COMMANDER-HF was a randomised trial comparing rivaroxaban 2.5 mg two times a day to placebo, in addition to antiplatelet therapy, in patients hospitalised for worsening heart failure with coronary artery disease and sinus rhythm. Patients with diabetes are at increased risk of cardiovascular events and therefore have more to gain. METHODS AND RESULTS: In this post-hoc analysis, we evaluated the efficacy and safety of rivaroxaban in patients with (n=2052) and without diabetes (n=2970). The primary outcome was the composite of cardiovascular death, myocardial infarction (MI) or ischaemic stroke. HRs and 95% CIs with interaction analyses were used to describe event-rates and treatment effects. Patients with diabetes had a higher prevalence of cardiovascular comorbidities (eg, hypertension, obesity) and increased incidence of cardiovascular events. Adjusted HRs for events in people with versus without diabetes were 1.34 (95% CI 1.19 to 1.50) for the primary outcome, 1.21 (95% CI 0.84 to 1.75) for stroke, 1.51 (95% CI 1.14 to 1.99) for MI, 1.17 (95% CI 1.05 to 1.31) for heart failure hospitalisation and 1.06 (95% CI 0.56 to 2.01) for major bleeding. Rivaroxaban had no significant effect on event-rates in patients with and without diabetes (all interaction p values >0.05). Low-dose rivaroxaban was associated with an overall reduction in ischaemic stroke (HR 0.66; 95% CI 0.47 to 0.95), with no apparent subgroup interaction according to diabetes status (p-int=0.93). CONCLUSIONS: In COMMANDER-HF a diagnosis of diabetes conferred higher rates of cardiovascular events that, with exception of ischaemic stroke, was not substantially reduced by rivaroxaban. Rivaroxaban was associated with reduced risk of ischaemic stroke for patients with and without diabetes. TRIAL REGISTRATION NUMBER: NCT01877915; Post-results.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".