Abstract 19545: The Association Between Adiposity and Mortality in Patients with Coronary Artery Disease is Modified by Time
Bibliographic record
Abstract
Introduction: Obese Coronary Artery Disease (CAD) patients have improved short and intermediate term outcomes compared to those of normal weight. However excess mass may be associated with poor long-term outcomes. The objective of this study was to assess the association between weight and mortality in a population with CAD in different time frames. Methods: We used the Alberta Provincial Project for Outcomes Assessment in Coronary Heart Disease (APPROACH) database. Subjects were classified by BMI as normal weight (18.5 - 24.9kg/m2), overweight (25 - 29.9kg/m2), obese class I (30 - 34.9kg/m2), obese class II (35 - 39.9kg/m2), or obese class III (≥40 kg/m2). Mortality was considered over the entire follow-up, within 2 years of catheterization (short-term) or more than 2 years post-catheterization (long-term). Cox models were used to determine the association between weight and mortality. Models were adjusted for all clinical risk factors and initial treatment strategy. Results: There were 45494 subjects with ≥ one vessel CAD (overweight: 41.9%, obese class I: 23.8%, obese class II: 7.8%, obese class III: 3.5%; 23.9% female; mean age 64.0 years). There were 7904 deaths over a median of 5.6 years of follow-up (61% after 2 years). In the complete follow-up period, compared to normal weight, the hazard ratio (HR) for mortality among overweight subjects was 0.84 (p<0.0001), obesity class I was 0.91 (p=0.004), obesity class II 0.98 (p=0.61), obesity class III 1.15 (p=0.038). There was a significant interaction between time and each weight class (p<0.0001). In short-term follow-up, the HR for overweight was 0.80 (p<0.001), for obese class I was 0.77 (p<0.001), for obese class II 0.80 (p=0.006) and for obese class III was 0.92 (p=0.434). With deaths in the first two years excluded, only overweight status was associated with reduced mortality, while obese class III was associated with increased mortality (HR 1.31 (95% CI 1.12, 1.54). Conclusion: The association of adiposity with mortality in CAD patients varies by time, with the protective effect of excess weight diminishing over time. Conditions that decrease mass may result in early deaths.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".