A New Recalibrated Four‐Category Child–Pugh Score Performs Better than the Original Child–Pugh and MELD Scores in Predicting In‐Hospital Mortality in Decompensated Alcoholic Cirrhotic Patients with Acute Variceal Bleeding: a Real‐World Cohort Analysis
Bibliographic record
Abstract
BACKGROUND: There currently is no consensus on how to accurately predict early rebleeding and death after a major variceal bleed. This study investigated the relative predictive performances of the original Child-Pugh (CP), model for end-stage liver disease (MELD) and a four-category recalibrated Child-Pugh (rCP). METHODS: This prospective study included all adult patients admitted to Groote Schuur Hospital with acute esophageal variceal bleeding secondary to alcoholic cirrhosis, between January 2000 and December 2017. CP and rCP grades and MELD score were calculated on admission, and the predictive ability in discriminating in-hospital rebleeding and death was compared by area under receiver-operating characteristic (AUROC) curves. RESULTS: During the study period, 403 consecutive adult patients were treated for bleeding esophageal varices of whom 225 were secondary to alcoholic cirrhosis. Twenty-four (10.6%) patients were CP grade A, 88 (39.1%) grade B and 113 (50.2%) grade C on hospital admission. MELD scores ranged from 6 to 40. Thirty-one (13.8%) patients rebleed, and 41 (18.2%) patients died. There was no difference in the discriminatory capacity of the CP (AUROC 0.59, 95% CI 0.50-0.670) and MELD (AUROC 0.62, 95% CI 0.51-0.73) to predict rebleeding (p = 0.72), or between the Child-Pugh (AUROC 0.75, 95% CI 0.71-0.81) and MELD (AUROC 0.71, 95% CI 0.62-0.80) to predict death (p = 0.35). The rCP classification (A-D) had a significantly improved discriminatory capacity (AUROC 0.83 95% CI 0.77-0.89) compared to the CP score (A-C) and MELD to predict death (p = 0.004). CONCLUSION: A recalibrated Child-Pugh score outperforms the original Child-Pugh grade and MELD score in predicting in-hospital death in patients with bleeding esophageal varices secondary to alcoholic cirrhosis.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".