Treatment of Patients With Stable Ischemic Heart Disease in Real Clinical Practice in Russia. The CHOICE-2 Program
Bibliographic record
Abstract
OBJECTIVE: in the framework of an open post-marketing observational national program CHOICE-2 to assess correspondence between recommendations for management of patients with stable angina and actual clinical practice, as well as to assess effect of treatment with cytoprotector trimetazidine on clinical course of the disease. MATERIAL AND METHODS: Participating physicians (n=185 from 46 regions of Russian Federation) recruited 896 patients with ischemic heart disease (IHD). Checkup included registration of complaints, medical history, demographic and anthropometric data, physical examination, measurement of blood pressure (BP), heart rate (HR), respiratory rate (RR), registration of ECG, determination of functional class (FC) of angina (Canadian Cardiovascular Society classification), presence and severity of heart failure (NYHA class). Information on frequency of attacks of angina, short-action nitrates requirements, and changes of exercise tolerance was taken from patients diaries. Visual analog scale (VAS) was used for evaluation of severity of dyspnea. RESULTS: At initiation of the program physicians increased prescribing of the following drugs: statins (from 74 to 92%), beta-blockers (from 84 to 92.7%), ivabradine (from 4.7 to 8.8%), renin-angiotensin system inhibitors (from 85 to 95.4%), trimetazidine (from 13 to 100%). This led to a significant reduction of BP (from 147.1+/-14.3/88.1+/-9.0 to 127.4+/-9.0/78.4+/-6.5 mm Hg), HR (from 75,6+/-9,6 to 65.8+/-6.1 bpm), frequency of angina attacks (from 5.36+/-5.38 to 1.12+/-1.70 per week), nitroglycerine consumption (from 5.12+/-5.23 to 0.87+/-1.43 doses). Walk distance increased from 336.9+/-252.9 to 593.6+/-419.8 meters. There occurred 6-fold increase of number of patients with FC I angina and 4-fold decrease of number of patients with FC III angina. According to VAS well-being improved from 44.0+/-17.3 to 77.3+/-16.6 points. Frequency of requests for emergency medical care reduced from 36.4 to 19.4%, and frequency of hospitalizations fell from 25.9% during preceding 6 months to 7.3% during 6 months after therapy change. CONCLUSION: It is necessary to improve the adherence to recommendations on optimal medical therapy, and increase the frequency of trimetazidine use in the structure of anti-anginal therapy.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".