Periprocedural Risk Predictors Affecting Long-Term Prognosis in Patients With Chronic Obstructive Pulmonary Disease Undergoing Coronary Artery Bypass Grafting
Bibliographic record
Abstract
OBJECTIVE: This study sought to identify periprocedural risk predictors that affect long-term prognosis in patients with chronic obstructive pulmonary disease (COPD) undergoing isolated coronary artery bypass grafting (CABG). METHODS: All consecutive 4,871 patients undergoing isolated CABG between May 2005 and June 2021 were included. Patients with and without COPD were compared for baseline demographics and preoperative characteristics. A propensity-matched analysis was used to compare the 2 groups. The primary outcome was long-term incidence of all-cause death. RESULTS: After matching, 767 patients each were included in the COPD and non-COPD groups; mean age was 71.6 and 71.4 years (P = .7), respectively; 29.3% and 32% (P = .2) were women, respectively. Intraoperatively, median (IQR) operating room time was higher in the COPD group than in the non-COPD group (5.9 [5.2-7.0] hours vs 5.8 [5.1-6.7] hours, respectively; P = .01). Postoperatively, intensive care unit stay (P = .03), hospital length of stay (P = .0004), and fresh frozen plasma transfusion units (P = .012) were higher in the COPD group than in the non-COPD group. Thirty-day mortality was not different between groups (1.3% in the COPD group vs 1% in the non-COPD group; P = .4). Median follow-up time was 4.0 years. The rate of all-cause death was higher in the COPD group than in the non-COPD group (138 patients [18.3%] vs 109 patients [14.5%], respectively; P = .042). Periprocedural risk predictors for all-cause death in patients with COPD were atrial fibrillation, diabetes, male sex, dialysis, ejection fraction less than 50%, peripheral vascular disease, and Society of Thoracic Surgeons Predicted Risk of Mortality score greater than 4%. CONCLUSION: Patients with COPD undergoing isolated CABG had a significantly higher incidence of all-cause death than those without COPD. Herein, risk predictors are provided for all-cause death in patients undergoing isolated CABG.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".