Fatores de risco em septuagenários ou mais idosos submetidos à revascularização do miocárdio e ou operações valvares
Bibliographic record
Abstract
OBJECTIVES: Septuagenarians or older patients needing heart surgery has increased in whole world. The objective of study is to know the characteristics of this group of patients and determine the risk factors for operative morbidity. METHODS: We revised the medical records of 783 patients undergone heart valve surgery, myocardial revascularization or both between 2002 and 2007. The patients were divided in 'control group' (<70 years) 'septuagenarian group' (70 years old or more). RESULTS: One hundred ninety seven patients were at least 70 years old (mean age 74.1+/-3.9) and 61% were male. In the control group the mean age was 52.1+/-11.7 and 54% were male. In the septuagenarians group it was significantly higher the proportion of patients suffering from peripheral vascular disease (9% versus 5%, P=0.019), carotid artery obstruction (5% versus 2%, P=0.026), unstable angina (17% versus 9%, P=0.018). In both groups coronary artery bypass surgery prevailed. In the septuagenarian group 41% of the patients had a least one morbid event, versus 22% of the patients in the control group (P<0.001). Postoperative bleeding, pulmonary complications, mediastinitis, need of vasopressors, renal dysfunction and strokes were significantly higher in the septuagenarian group. The mortality was higher in the septuagenarian (19% versus 8.5%, P<0.001). The logistic regression revealed that COPD (OR: 8.6), EF < 35% (OR: 7,1), non-elective operation (OR: 17,2) and cardiopulmonary bypass time >120 min (OR: 3,4) were predictive of hospital mortality in septuagenarian or older patients. CONCLUSIONS: The hospital mortality of septuagenarians or elderly is significantly higher than younger patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".