Brief Report: Effect of Antiretroviral Switch From Tenofovir Disoproxil fumarate to Tenofovir Alafenamide on Alanine Aminotransferase, Lipid Profiles, and Renal Function in HIV/HBV-Coinfected Individuals in a Nationwide Canadian Study
Bibliographic record
Abstract
OBJECTIVE: Tenofovir alafenamide (TAF) achieves increased renal safety and improved alanine aminotransferase (ALT) normalization but increased lipid profile in hepatitis B virus (HBV)-monoinfected patients switched from tenofovir disoproxil fumarate (TDF). It is unclear whether HIV coinfection perturbs these biochemical changes. To this end, we assessed these parameters in HIV/HBV-coinfected patients switched from TDF to TAF. DESIGN: Retrospective, multicenter, observational study. METHODS: HIV/HBV-coinfected patients switched from TDF to TAF-based antiretroviral therapy (ART) at 6 Canadian Hepatitis B Network (CanHepB) academic sites were included. Changes in lipid profile, estimated glomerular filtration rate (eGFR), and ALT were evaluated using linear mixed effect model regression. RESULTS: Eighty-two HIV/HBV-coinfected patients with a mean 103-week follow-up duration were identified. At time of TAF switch, 80 of 82 (98%) were HBV virally suppressed, 29 of 82 (35%) had elevated ALT levels, and 63 of 82 (77%) had eGFR of ≥60 mL/min per 1.73 m 2 . Twenty-six/Eighty-two (32%) had preexisting renal comorbidities. There were no changes in total cholesterol, high-density lipoprotein, low-density lipoprotein, and triglyceride levels 2 years after TAF switch. Those with elevated ALT levels achieved greater ALT normalization after TAF switch (-0.004 [-0.008 to 0.0] log 10 U/L/mo, P = 0.03). eGFR decline rate while on TDF (-0.66 [-0.23 to -1.08] mL/min/month, P < 0.005) was diminished after switching to TAF (-0.02 [-0.16 to 0.11] mL/min/mo, P = 0.7) and those with eGFR of <60 mL/min experienced increase in eGFR after TAF switch (0.45 [0.03-0.87] mL/min/mo, P = 0.04). CONCLUSIONS: Our study supports switching from TDF to TAF with positive influence on overall long-term biochemical profile in HIV/HBV-coinfected individuals.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".