Prediction of Cardiac Complications After Liver Transplantation
Bibliographic record
Abstract
BACKGROUND: Orthotopic liver transplantation (OLT) stresses the cardiovascular system, and cardiac complications after OLT are common. METHODS: Hundred ninety-seven patients (>or=40 years) who had OLT from 2002 to 2007 were reviewed to identify predictors of cardiac complications within 6 months after transplantation. RESULTS: Median age was 56 years (40-75 years); 69% men. Reasons for OLT were hepatitis C virus (HCV) 45.5%, alcohol 22%, hepatocellular carcinoma (HCC) 8%, primary biliary cirrhosis 10%, and others 14.5%. Eighty-two patients suffered one or more cardiac complications within 6 months after OLT (pulmonary edema=61 [overt heart failure=7], arrhythmia=13, pulmonary hypertension=7, pericardial effusion=2, and right atrial thrombus=1). Cardiac causes were the leading cause of death (n=5; 23.8% of all mortality). By multivariate analysis, after adjusting for age and sex, independent predictors were adverse intraoperative cardiovascular events (adjusted odds ratio; 95% confidence interval: 5.89, 1.82-19.14), history of cardiac disease (2.42, 0.89-6.6), and i-MELD (integrated model for end-stage liver disease) score (1.08, 1.02-1.14), whereas adverse intraoperative cardiovascular events (5.73, 1.96-16.78) and i-MELD (1.07, 1.01-1.13) predicted pulmonary edema. None of the following variables predicted complications: age, sex, OLT indication, body mass index, blood pressure, alcohol and smoking history, pre-OLT investigations (chest X-ray, electrocardiogram, echocardiography, coronary angiography, pulmonary arterial pressure, and 2-methoxy isobutyl isonitrile scan), immunosuppressive treatment, or intraoperative variables (transfusion amount, cadaveric vs. living graft or cold ischemia and rewarming times). CONCLUSIONS: Cardiac complications after OLT are common and were the leading cause of death after surgery. Adverse intraoperative cardiovascular events, previous cardiac disease, and advanced liver disease as quantified by i-MELD score predicted postoperative cardiac complications.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".