Hcv Chronic Hepatitis in Patients With Hiv: Clinical Management Issues
Bibliographic record
Abstract
HIV-hepatitis C virus (HCV) coinfection is common and affects more than one-third of all HIV infected persons worldwide. Prevalence among risk categories varies according to shared risk factors for transmission, mainly intravenous drug use (IDU) and hemophiliacs. Chronic HCV infection seems to accelerate the course of HIV disease, resulting in a worsened clinical and immunological progression. At the same time, several studies suggest that HIV disease modifies the natural history of HCV infection, leading to a faster course of progression from active hepatitis to cirrhosis, to end stage liver disease and death. HCV infection mimics opportunistic diseases because its natural history is significantly accelerated in HIV patients. Since highly active antiretroviral therapy (HAART) has slowed the progression of HIV disease and decreased the rate of HIV associated mortality, the prognosis of HIV disease has been modified, and the need to treat HCV coinfection become a significant issue. Because of the poor response rate obtained by either interferon alone or interferon thrice weekly plus ribavirin, the combination of pegylated interferon and ribavirin will probably become the standard of care, although the clinicians should be aware of the overlapping toxicity of nucleoside analogues and ribavirin. Many selected categories of patients pose particular challenges to physicians treating HCV infection: nonresponders to interferon, cirrhotic patients, and patients infected with both HCV and HBV. Liver transplantation in HIV patients is currently under evaluation, but should become the rescue therapy for HIV patients with end stage liver disease.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".