Off-Pump Coronary Artery Bypass Grafting (OPCAB) at Sudan Heart Institute : Is it a Safe Operation for Coronary Revascularization in Sudan?
Bibliographic record
Abstract
Background: The incidence of coronary artery disease (CAD) is rising in Sudan as well as in Africa and all over the world, with increasing need for myocardial revascularization. This study is an attempt to highlight the safety of practicing off- pump coronary artery bypass grafting as a primary option for surgical myocardial revascularization, as the use of cardiopulmonary bypass machine was found to be associated with many cardiovascular and systemic complications. Lacking local information regarding this operation dedicated the need to structure such a research in order to be a basis for further studies. Objective: To assess the preoperative characteristics and outcome of patients undergoing off-pump coronary artery bypass surgery. Method: This is a combined retro-prospective descriptive consecutive case series study conducted at Sudan Heart Institute (SHI) and included all the patients with CAD; who were candidates for CABG; presented in the period between Aug/2011 to Aug/2013 Results: 91 patients were included in this study. Females (30.8%) were less affected compared to males and the most affected age group was 41-69 years. 63.7% had HTN, 52.7% had DM. The majority (76.9%) presented with angina CCS class III or VI. Significant LM coronary artery disease was detected in 38 (41.8%). None of the patients had post operative MI. 10 (11.0%) patients developed atrial fibrillation. 56 (61.5%) were extubated within the first 6 hours and 61 (67%) needed primary ICU care for one or 2 days. One death (1.1%) was reported during 30 days- postoperative follow up. Conclusion: Off-pump coronary artery bypass grafting could be conducted safely in SHI with reasonable outcome compared to the international data.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".