Evaluation of cardiac operative risk and outcome using EuroSCORE II for coronary artery bypass graft surgery
Bibliographic record
Abstract
Background: The original EuroSCORE was proposed in 1995, with a predicted mortality rate of 3.9%. The study aimed to assess the validity of the European System for Cardiac Operative Risk Evaluation-II (EuroSCORE II), presented in 2012, in predicting 30-day in-hospital mortality with the observed mortality in cardiac surgical patients operated in Universiti Kebangsaan Malaysia Medical Centre (UKMMC).Methodology: It was a retrospective study on patients who had undergone coronary artery bypass graft surgery during 6 y from January 01, 2011 to December 31, 2016, in UKMMC. Comparison between the output of the EuroSCORE II obtained and compared with the patients’ actual postoperative outcome. Results: The actual in-hospital mortality rate was 6.8%. In comparison, the predicted mortality rate by the median EuroSCORE II was 1.23%. Receiver operating characteristics (ROC) curve analysis showed an excellent discriminatory power with the area under the curve (AUC) of 0.844 (95% CI 0.705 - 0.983, P < 0.001) between the survivors and non-survivors. Conclusion: This single-center retrospective study of validation showed that the overall observed mortality was under-predicted by EuroSCORE II. However, it demonstrated a good calibration with excellent discriminatory power in predicting 30 days in-hospital mortality risk among patients undergoing coronary artery bypass graft surgery. Abbreviations: BMI: Body Mass Index; CCS: Canadian Cardiovascular Society; LVEF: Left Ventricular Ejection Fraction; NYHA: New York Heart Association; PA: Pulmonary Artery Key words: Risk assessment; Hospital mortality; Cardiac surgery Citation: Mokhtar MN, Abdullah FH, Rahman MRA, Ooi JSM. Evaluation of cardiac operative risk and outcome using EuroSCORE II for coronary artery bypass graft surgery. Anaesth. pain intensive care 2023;27(3):307−314; DOI: 10.35975/apic.v27i3.2228 Received: November 15, 2022; Reviewed: April 17, 2023; Accepted: April 19, 2023
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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".