Switch to a raltegravir‐based antiretroviral regimen in people with <scp>HIV</scp> and non‐alcoholic fatty liver disease: A randomized controlled trial
Bibliographic record
Abstract
INTRODUCTION: The effect of antiretroviral therapy (ART), particularly integrase strand transfer inhibitors (INSTIs), on non-alcoholic fatty liver disease (NAFLD) in people with HIV remains unclear. We evaluated the effect of switching non-INSTI backbone antiretroviral medications to raltegravir on NAFLD and metabolic parameters. MATERIALS AND METHODS: This was a single-centre, phase IV, open-label, randomized controlled clinical trial. People living with HIV with NAFLD and undetectable viral load while receiving a non-INSTI were randomized 1:1 to the switch arm (raltegravir 400 mg twice daily) or the control arm (continuing ART regimens not containing INSTI). NAFLD was defined as hepatic steatosis by controlled attenuation parameter ≥238 dB/m in the absence of significant alcohol use and viral hepatitis co-infections. Cytokeratin 18 was used as a biomarker of non-alcoholic steatohepatitis. Changes over time in outcomes were quantified as standardized mean differences (SMDs), and a generalized linear mixed model was used to compare outcomes between study arms. RESULTS: A total of 31 people with HIV (mean age 54 years, 74% male) were randomized and followed for 24 months. Hepatic steatosis improved between baseline and end of follow-up in both the switch (SMD -43.4 dB/m) and the control arm (-26.6 dB/m); the difference between arms was not significant. At the end of follow-up, aspartate aminotransferase significantly decreased in the switch arm compared with the control arm (SMD -9.4 vs. 5.5 IU/L). No changes in cytokeratin 18, body mass index, or lipids were observed between study arms. DISCUSSION: Switching to a raltegravir-based regimen improved aspartate aminotransferase but seemed to have no effect on NAFLD, body weight, and lipids compared with remaining on any other ART.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".