Stratified alpha-fetoprotein pattern accurately predicts mortality in patients with acute-on-chronic hepatitis B liver failure
Bibliographic record
Abstract
BACKGROUND: Alpha-fetoprotein (AFP) has been shown to predict the prognosis of liver disease in several studies. This study aimed to evaluate the prognostic value of stratified AFP in patients with acute-on-chronic hepatitis B liver failure (ACHBLF). METHODS: A total of 192 patients were included and AFP were categorized into quartiles. The prognostic value was determined for overall survival (OS) and assessed by Kaplan-Meier analysis. Univariate and multivariate Cox proportional hazard regression analyses studied the association of all independent parameters with disease prognosis. RESULTS: The optimal cut-off points of AFP were: (Q1) 252.3-4800.0 ng/ml, (Q2) 76.0-252.2 ng/ml, (Q3) 18.6-75.9 ng/ml, and (Q4) 0.7-18.5 ng/ml. Based on the Kaplan-Meier analysis of the OS, each AFP quartile revealed a progressively worse OS and apparent separation (log-rank P = 0.006). The second-highest quartiles of AFP (Q2) always demonstrated an extremely favorable short-term survival. Combining the lowest AFP quartiles with a serum sodium < 131mmol/L or an INR ≥ 3.3 showed a poor outcome (90-days survival of 25.0% and 11.9% respectively). CONCLUSIONS: Stratified AFP could strengthen the predictive power for short-term survival of patients with ACHBLF. Combining AFP quartiles with low serum sodium and high INR may better predict poor outcome in ACHBLF patients.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".