Updated thresholds for alanine aminotransferase do not exclude significant histological disease in chronic hepatitis C
Bibliographic record
Abstract
BACKGROUND AND AIM: Histological changes in hepatitis C virus (HCV)-infected patients with persistently normal alanine aminotransferase (PNALT) have not been evaluated for updated upper limits of normal (ULN; ≤ 19/30 U/L for females/males). We assessed significant fibrosis (≥ F2, METAVIR) in patients with PNALT and persistently elevated alanine aminotransferase (PEALT). PATIENTS AND METHODS: Nine hundred and twenty consecutive, unselected HCV patients were stratified into four groups: Group I: (n = 124) PNALT within the updated ULN [0.5 × ULN (corresponding to ≤ 19 U/L) for females; 0.75 × ULN (corresponding to ≤ 30 U/L) for males]; Group II (n = 173): PNALT ≤ 1 × ULN but greater than Group I; Group III (n = 313): PEALT 1-2 × ULN; and Group IV (n = 310): PEALT > 2 × ULN. PNALT was defined as ≥ 3 determinations within the normal range over ≥ 6 months. RESULTS: Advanced ≥ F3 and ≥ F2 fibrosis increased incrementally across Groups I; II; III; and IV: 24.2 and 45.2%; 25.4 and 56.1%; 36.1 and 64.2%; and 50 and 77.1% respectively (P<0.0001 for both). Multivariable logistic regression analysis identified age [odds ratio (OR), 1.05; 95% confidence intervals (CI): 1.02-1.08; P<0.0001], alanine aminotransferase (ALT) groups (OR 1.38; 95% CI: 1.03-1.83; P = 0.030), presence of moderate-severe steatosis (OR 2.70; 95% CI: 1.19-6.15; P = 0.018) and ≥ A2 necroinflammation (OR 17.9; 95% CI: 8.88-36.20; P < 0.0001) as independent predictors of ≥ F2 fibrosis. Updated ULN for ALT were better at excluding ≥ F2 fibrosis compared with traditional ULN (90.6 vs. 74.2%, P = 0.0041) but less specific (20.8 vs. 44%, P = 0.0007) with similar positive/negative predictive values. CONCLUSIONS: HCV patients with 'updated' normal ALT have the lowest prevalence of significant fibrosis, although utilizing these levels without resorting to biopsy would miss significant fibrosis in almost one-half of such patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.008 | 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".