The Relationship of Body Mass Index to Outcomes after Percutaneous Coronary Intervention
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: To evaluate the effect of body mass index (BMI) on in-hospital outcomes in patients undergoing percutaneous coronary intervention (PCI) at a tertiary care hospital center in Ontario, Canada. BACKGROUND: Obesity is present in a large population of patients undergoing revascularization with PCI. METHODS: Retrospective analysis of 4,631 patients aged 62.0 +/- 12 years, stratified by BMI into five groups: nonobese (<25 kg/m2); overweight (25-29.9 kg/m2); class I obese (30-34.9 kg/m2); class II obese (35-39.9 kg/m2); and class III obese (> or =40 kg/m2). RESULTS: A BMI >25 kg/m2 was present in 79% of patients, and 35% were obese (BMI > or =30 kg/m2). Obese patients, particularly the class III obese, were significantly younger and had higher prevalence of diabetes, hypertension, and dyslipidemia (P < 0.0001). After adjustment for several covariates, lower BMI was independently associated with higher risk of major bleeding requiring transfusion (adjusted odds ratio [OR]= 1.40, 95% confidence interval [CI] 1.04-1.88, P = 0.025), and femoral hematoma (adjusted OR = 1.14, 95% CI 1.05-1.25, P = 0.003) in lean (<20 kg/m2) and normal BMI (20-24.9 kg/m2) patients. Obesity was not associated with death, myocardial infarction, repeat PCI, coronary artery bypass grafting, or major adverse cardiac event. CONCLUSIONS: Obesity is not associated with increased risk of adverse postprocedural in-hospital outcomes. These findings, however, do not discount the need for sustained efforts in secondary prevention of obesity and its consequences.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| 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 it