Outcome Of Patients With Acute Left Ventricular Faliure After Coronary Artery Bypass Grafting
Bibliographic record
Abstract
Objective: To investigate the consequences of coronary artery bypass grafting (CABG) in patients with severe left ventricular dysfunction in a high-volume center in the Hospital. Study Design: An Observational Study Place and Duration: The study was performed in the Cardiac Surgery Department of Chaudhry Pervaiz Elahi Institute of Cardiology, Multan for the Period of One Year from August 2016 to August 2017. Materials and Methods: 80 patients consecutively selected with severe left ventricular dysfunction (EF <35%) who underwent CABG and operated by the same surgical team were included in the study. Preoperative, intraoperative, and postoperative variables were recorded and analyzed using the Social Statistics Statistical Package in version 20.0 to determine hospital outcomes. Results: The total number of patients was 80 (n = 80). The mean age was 61.80 ± 11.47. 32 patients (40%) were diagnosed with Canadian Class III or IV Cardiovascular Society. Eight patients (10%) had major coronary artery disease. Emergency CABG was performed in 8 patients (10%). Mean postoperative hospital stay was 8.32 ± 2.45 days. Acute kidney damage was observed in 4 (6%) patients postoperatively. Five (7%) cases applied to postoperative bleeding and three (4%) had a stroke after CABG. Hospital mortality was recorded in 3 out of 80 cases (4%). Conclusion: CABG can be performed with morbidity and mortality acceptable to patients with severe left ventricular dysfunction. Keywords: CABG, Mortality, Left ventricular dysfunction, Ischemic heart disease.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".