Off-Pump versus On-Pump Coronary Artery Bypass Procedures: Postoperative Renal Complications in an Asian Population
Bibliographic record
Abstract
INTRODUCTION: Diabetes and habitual smoking cause advanced coronary artery disease (CAD) in Asian patients at a younger age. No definite data exist as to whether off-pump (OPCAB) is better than conventional on-pump coronary artery bypass grafting (CCAB) in terms of postoperative renal complications. Thus, we aimed to compare the renal outcomes of on-pump and off-pump coronary artery bypass grafting (CABG) on our patients, which constituted a predominantly Asian population. MATERIALS AND METHODS: A cohort of 395 patients following CCAB were compared with 293 patients who underwent OPCAB. Baseline demographics, comorbidities, intraoperative data, intensive care unit stay, number of grafts, New York Heart Association (NYHA) score, American Society of Anesthesiologists (ASA) score, EuroSCORE risk assessment model, and postoperative complications particularly renal, were collected and analysed. RESULTS: The off-pump group consisted of significantly older patients with higher Canadian Cardiovascular Society (CCS) and ASA scores. Additionally, the off-pump group involved a significantly greater number of smokers and chronic obstructive pulmonary disease (COPD) patients. Other demographic parameters were not different between the groups. Postoperative investigations showed a significantly elevated serum creatinine (100.3 +/- 42.5 vs 127.6 +/- 114.2 micromol/L; off-pump vs on-pump; P = 0.039) and urea levels (5.9 +/- 3.1 vs 10.6 +/- 15.6 mg/dL; off-pump vs on-pump; P = 0.006) in the on-pump group. Moreover, there was a high tendency towards a higher rate of renal dysfunction associated death in this group. CONCLUSIONS: OPCAB is a safe and equally efficient operative method compared to CCAB, and has a significant lower risk for postoperative renal complications as a treatment modality for surgical coronary revascularisation.
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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 | 0.000 |
| 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 | 0.001 |
| 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".