Ticagrelor with or without aspirin in high-risk patients with anaemia undergoing percutaneous coronary intervention: a subgroup analysis of the TWILIGHT trial
Bibliographic record
Abstract
AIM: The aim of this study was to assess the effect of ticagrelor monotherapy among high-risk patients with anaemia undergoing percutaneous coronary intervention (PCI). METHODS AND RESULTS: In the TWILIGHT (Ticagrelor with Aspirin or Alone in High-Risk Patients after Coronary Intervention) trial, after 3 months of ticagrelor plus aspirin, high-risk patients were maintained on ticagrelor and randomized to aspirin or placebo for 1 year. Anaemia was defined as haemoglobin <13 g/dL for men and <12 g/dL for women. The primary endpoint was Bleeding Academic Research Consortium (BARC) 2, 3, or 5 bleeding. The key secondary endpoint was a composite of all-cause death, myocardial infarction, or stroke.Out of 6828 patients, 1329 (19.5%) had anaemia and were more likely to have comorbidities, multivessel disease, and to experience bleeding or ischaemic complications than non-anaemic patients. Among anaemic patients, BARC 2, 3, or 5 bleeding occurred less frequently with ticagrelor monotherapy than with ticagrelor plus aspirin [6.4% vs. 10.7%; hazard ratio (HR) 0.60; 95% confidence interval (CI) 0.41-0.88; P = 0.009]; the rate of the key secondary endpoint was similar in the two arms (5.2% vs. 4.8%; HR 1.07; 95% CI 0.66-1.74; P = 0.779). These effects were consistent in patients without anaemia (interaction P values 0.671 and 0.835, respectively). CONCLUSION: In high-risk patients undergoing PCI, ticagrelor monotherapy after 3 months of ticagrelor-based dual antiplatelet therapy was associated with a reduced risk of clinically relevant bleeding without any increase in ischaemic events irrespective of anaemia status (TWILIGHT: NCT02270242).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".