Use of Cardiopulmonary Bypass in High-Risk Patients Is a Predictor of Adverse Outcome
Bibliographic record
Abstract
High-risk patients experience substantially more compli cations after coronary artery bypass grafting (CABG). We hypothesized that these patients are uniquely vulner able to cardiopulmonary bypass and compared postop erative outcomes between high-risk patients undergo ing off-pump CAB (OPCAB) and conventional CABG. Prospective provincial cardiac care registry and retro spective chart data were reviewed for 1,850 consecutive patients at our institution between January 1996 and January 1999. From this, 235 patients, 36 OPCAB and 199 CABG, were identified as high risk (modified Parson net score ≥15). Risk factor analysis showed the popula tions were equivalent in perioperative risk with mean modified Parsonnet scores of 18.1 ± 3.4 (OPCAB) and 18.7 ± 4.2 (CABG) (P = .4). In total, 6% of OPCAB and 40% of CABG patients suffered major complications leading to extended hospital/intensive care unit (ICU) stay or death ( P ≤ .001). Mean hospital stays were 7.0 ± 4.0 days (OPCAB) and 10.6 ± 10.2 days (CABG) ( P ≤ .001). Mean ICU stays were 23.9 ± 9.7 hours (OPCAB) and 64.9 ± 128.3 hours (CABG) ( P ≤ .001). Mortality was 0% in the OPCAB group and 6% in the CABG group (P = .2). Multivariate predictors of experiencing a major complication were: use of cardiopulmonary bypass (OR 5.1, 95 Cl 2.1-12.1), age > 80 (OR 2.5, 95 Cl 1.7-7.5), female (OR 3.0, 95 Cl 1.6-5.4), repeat operation (OR 2.5, 95 Cl 1.2-5.4), and ejection fraction <40% (OR 2.4, 95 Cl 1.2-4.7). Extracorporeal circulation is the most impor tant predictor of postoperative complications after CABG in high-risk patients. Off-pump surgery substantially reduces morbidity in this group, and further study of the protective effects of this emerging modality are war ranted.
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 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) | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".