Evaluating Liver Fibrosis Progression and the Impact of Antiretroviral Therapy in HIV and Hepatitis C Coinfection Using a Noninvasive Marker
Bibliographic record
Abstract
The effects of highly active antiretroviral therapy (HAART) on progression of hepatic fibrosis in hepatitis C virus (HCV) coinfection with HIV are not well understood and are difficult to measure because of the need for repeated liver biopsy. We evaluated the evolution of a noninvasive measure of liver fibrosis, the alanine aspartyl transferase (AST)-to-platelet ratio index (APRI), longitudinally and determined its predictive value for hepatic outcomes in HIV-positive patients with and without HCV coinfection. A total of 673 HIV-positive patients without liver complications at baseline (540 with HIV only, 133 with HIV-HCV coinfection) were followed between 1991 and 2004 for a median of 4.6 years (3524 person-years). At baseline, HIV-HCV coinfection had a higher median APRI compared with HIV infection alone (0.59 vs. 0.33; P < 0.0001). The natural logarithm of the APRI [ln(APRI)] changed significantly over time, particularly among patients with HIV-HCV coinfection. The baseline ln(APRI) was predictive of liver complications (hazard ratio [HR] = 4.0, 95% confidence interval [CI]: 2.5 to 6.4 per log), as was HCV (HR = 4.5, 95% CI: 1.5 to 14). Cumulative HAART did not protect against liver complications, although it was significantly associated with progression of APRI scores in HIV-HCV coinfection and in HIV alone. In conclusion, the APRI may be a useful marker for longitudinal evaluation of the progression of liver disease in HIV-HCV coinfection.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".