THE INFLUENCE OF ANGINA PECTORIS ON THE QUALITY OF LIFE OF PATIENTS ONE MONTH AND TWELVE MONTHS AFTER MYOCARDIAL INFARCTION
Bibliographic record
Abstract
The appearance of angina pectoris in patients after myocardial infarction has got a negative influence on their quality of life. The aim of the paper was to assess the influence of angina pectoris on the quality of life of patients one month and twelve months after myocardial infarction. Prospective cohort study involved 240 patients from the city of Niš, aged 30–79 years, who suffered from the first myocardial infarction in 2007. The quality of life was assessed with the Serbian version of these questionnaires: EuroQuol5Dimension and EuroQuolVAS. Angina pectoris was ranked according to the classification of Canadian Cardiovascular Society. Multivariate logistic regression analysis was used. A total of 240 patients (160 males and 80 females) filled in the questionnaires one month after the myocardial infarction. They were aged 61.37±8.87 years on average. All the patients had the significantly lower average scores in EuroQuolVAS compared with the scores twelve months after the myocardial infarction (60.50±12.03 vs 69.83±12.06, p<0.001). The average grades of all the examened dimensions in EuroQuol 5 Dimension questionnaire were significantly higher after twelve months after myocardial infarction 1.41±0.26 vs 1.53±0.26, p<0.001 compared with the values obtained one month after the myocardial infarction. The average range of angina pectoris twelve months after the MI was significantly lower compared with the value one month after the MI (0.78±0.51 vs 0.91±0.44, p<0.001). The presence of angina pectoris in patients who survived myocardial infarction is associated with their lower HRQoL. Twelve months after myocardial infarction patients assessed their health condition significantly better compared with the condition one month after the myocardial infarction. As past research has demonstrated that angina pectoris is a risk factor for mortality in patients with established heart disease, it is important to evaluate its impact on the patient’s quality of life.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".