Acompanhamento de Dois Anos de Pacientes com Cardiopatia Isquêmica Crônica em um Centro Especializado no Brasil
Bibliographic record
Abstract
The incidence of cardiovascular events in patients with chronic ischemic heart disease (CIHD) may vary significantly among countries. Although populous, Brazil is often underrepresented in international records. This study aimed to describe the quality of care and the two-year incidence of cardiovascular events and associated prognostic factors in CIHD patients in a tertiary public health care center in Brazil. Patients with CIHD who reported for clinical evaluation at Instituto do Coração (São Paulo, Brazil) were registered and followed for two years. The primary endpoint was a composite of myocardial infarction (MI), stroke, or death. A significance level of 0.05 was adopted. From January 2016 to December 2018, 625 participants were included in the study. Baseline characteristics show that 33.1% were women, median age 66.1 [59.6 - 71.9], 48.6% had diabetes, 83.1% had hypertension, 62.6% had previous MI, and 70.4% went through some revascularization procedure. At a median follow-up (FU) of 881 days, we noted 37 (7.05%) primary endpoints. After adjustments, age, previous stroke, and LDL-cholesterol were independently associated with the primary endpoint. Comparing baseline versus FU, participants experienced relief of angina based on the Canadian Cardiovascular Society (CCS) scale according to the following percentages: 65.7% vs. 81.7% were asymptomatic and 4.2% vs. 2.9% CCS 3 or 4 (p < 0.001). They also experienced better quality of medication prescription: 65.8% vs. 73.6% (p < 0.001). However, there was no improvement in LDL-cholesterol or blood pressure control. This study shows that CIHD patients had a two-year incidence of the primary composite endpoint of 7.05%, and the reduction of LDL-cholesterol was the only modifiable risk factor associated with prognosis.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".