Trimetazidine and Bisoprolol to Treat Angina in Symptomatic Patients: Post Hoc Analysis From the CHOICE-2 Study
Bibliographic record
Abstract
INTRODUCTION: Angina is the cardinal symptom of chronic coronary syndrome (CCS), which is the leading cause of death worldwide. As such, the control of angina is important. The current guidelines recommend beta blockers (BB) or calcium channel blockers to reduce angina, yet many patients with stable angina remain symptomatic. It has been suggested that combining trimetazidine (TMZ), an anti-ischemic agent, with a BB is beneficial for symptomatic patients. Bisoprolol, a BB, is often used to treat patients with CCS, yet no data are currently available regarding the efficacy of bisoprolol combined with TMZ in patients who remain symptomatic despite receiving bisoprolol. METHODS: The aim of this post-hoc analysis of the CHOICE-2 study was to evaluate the efficacy and safety of TMZ 35 mg twice daily in combination with different bisoprolol doses in symptomatic patients with stable angina patients receiving hemodynamic therapy in a real-world clinical setting. RESULTS: This analysis involved 221 patients (mean [± standard deviation] age 64.8 ± 8.9 years) with stable angina. The mean number of weekly angina episodes gradually fell from 6.2 ± 5.3 at inclusion (M0) to 1.5 ± 1.9 at 6 months after treatment initiation (M6) with combined TMZ-bisoprolol therapy (P < 0.001). The number of patients assessed to be angina-free increased almost sixfold from 5.4% (12/221) at M0 to 33.9% (74/221) at M6. Exercise capacity improved, as measured by walking distance, from 308 ± 207 m at M0 to 497 ± 253 m at M6 (P < 0.05). The number of patients with Canadian Cardiovascular Society class 1 angina increased by tenfold during the study, whereas those with class 3 angina decreased by threefold. CONCLUSION: The TMZ-bisoprolol combination is a rapidly effective treatment for reducing the frequency of angina attacks and the use of short-acting nitrates in patients with stable angina in a real-world clinical setting. The benefits of this combination therapy was observed as early as 2 weeks after treatment initiation and the treatment was well tolerated. TRIAL REGISTRATION: ISRCTN identifier: ISRCTN65209863.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".