Abstract 10839: Two-year Follow-up Of Patients With Chronic Ischemic Heart Disease In A Specialized Center In Brazil
Bibliographic record
Abstract
Introduction: Incidence of cardiovascular events in patients with chronic ischemic heart disease (CIHD) may vary significantly between regions. Although populous, Brazil is often underrepresented in international registries. Objective: This study aimed to describe the quality of care and 2-year incidence of cardiovascular events and prognostic factors in CIHD patients in a tertiary public health care center in Brazil. Methods: Patients with CIHD, denoted as previous revascularization, myocardial infarction (MI) or stenosis > 50% in at least one epicardial coronary artery, were enrolled and followed for at least 2 years. Main endpoint was the composite of MI, stroke or death. We also evaluated prescription, symptoms and laboratory records. Results: 625 patients with mean age 65 (±9.6) years, 33.3% women, were included. Previous MI was present in 59.8%, CABG in 26.8%, and percutaneous coronary intervention in 40.6%. Diabetes was prevalent in 48.6%, high blood pressure in 83.1%, and chronic kidney disease (creatinine clearance < 60 mL/min) in 34.7%. Residual coronary anatomy was known in 266 patients, of whom 29.3% had multivessel disease, and 11.7% had lesion in the left main artery. At a median follow-up (FU) of 881 days, we recorded 37 events of primary composite endpoint, with 2-year estimate event incidence of 7.05%. Age (HR per 10 years 1.61, 95%CI 1.32-1.97), stroke (3.65, 1.48-9.00) and LDL-cholesterol (1.23, 1.14-1.33) were the main prognostic factors in multivariate analysis. The participants experienced relief of angina symptoms based on Canadian Cardiovascular Society (CCS) scale (baseline vs. FU respectively): 65.7% vs. 81.7% were asymptomatic, 13 vs. 7.2% CCS1, 17.1 vs. 8.3% CCS2, 4.2 vs. 2.9% CCS3 or 4 (p < 0.001). Analysis of therapeutic goals identified better quality of medication prescription, defined as the use of angiotensin-converting enzyme inhibitor or angiotensin receptor blocker plus statin and any antithrombotic agent: 65.8% vs. 73.6% (p<0.001) comparing baseline with FU. On the other hand, there was no improvement in LDL or blood pressure control. Conclusion: This study shows that CIHD patients had a 2-year incidence of the primary composite endpoint of 7.05%, LDL was the main modifiable risk factor of worse prognosis.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".