Moderate Alcohol Use Is Not Associated With Fibrosis Progression in Human Immunodeficiency Virus/Hepatitis C Virus–Coinfected Women: A Prospective Cohort Study
Bibliographic record
Abstract
BACKGROUND: Heavy alcohol use can lead to progressive liver damage, especially in individuals with chronic hepatitis C (HCV); however, the impact of nonheavy use is not clear. We studied long-term effects of modest alcohol use on fibrosis progression in a large cohort of women coinfected with human immunodeficiency virus (HIV)/HCV. METHODS: Alcohol intake was ascertained every 6 months and use categorized as abstinent, light (1-3 drinks/week), moderate (4-7 drinks/week), heavy (>7 drinks/week), and very heavy (>14 drinks/week). Fibrosis progression was defined as the change in Fibrosis-4 Index for Liver Fibrosis (FIB-4) units per year using random-intercept, random-slope mixed modeling. RESULTS: Among 686 HIV/HCV-coinfected women, 46.0% reported no alcohol use; 26.8% reported light use, 7.1% moderate use, and 19.7% heavy use (6.7% had 8-14 drinks/week and 13.0% had >14 drinks/week) at cohort entry. Median FIB-4 at entry was similar between groups. On multivariable analysis, compared to abstainers, light and moderate alcohol use was not associated with fibrosis progression (0.004 [95% confidence interval {CI}, -.11 to .12] and 0.006 [95% CI, -.18 to .19] FIB-4 units/year, respectively). Very heavy drinking (>14 drinks/week) showed significant fibrosis acceleration (0.25 [95% CI, .01-.49] FIB-4 units/year) compared to abstaining, whereas drinking 8-14 drinks per week showed minimal acceleration of fibrosis progression (0.04 [95% CI, -.19 to .28] FIB-4 units/year). CONCLUSIONS: Light/moderate alcohol use was not substantially associated with accelerated fibrosis progression, whereas drinking >14 drinks per week showed increased rates of fibrosis progression. Women with HIV/HCV infection should be counseled against heavy alcohol consumption, but complete abstinence may not be required to prevent accelerated liver fibrosis progression.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".