Short Communication: Risk of Elevated Total Cholesterol/High-Density Lipoprotein Cholesterol Ratio After Antiretroviral Therapy in HIV/Hepatitis C Virus Patients
Bibliographic record
Abstract
Dyslipidemia from highly active antiretroviral therapy (HAART) use has been reported to be less severe among persons with HIV and hepatitis C (HCV) compared to those with HIV monoinfection. However, the effect on lipoprotein ratios is less clear. The total cholesterol/high-density lipoprotein ratio (TC/HDL-C ratio) is a robust measure of cardiovascular disease (CVD) risk but has not been examined in the context of HIV/HCV-coinfected patients. We compared the TC/HDL-C ratio before HAART initiation and after at least 6 months on HAART between patients monoinfected with HIV and coinfected with HIV and HCV. Pre- and post-HAART TC, HDL-C, and non-HDL-C were also assessed. Although TC, HDL-C, and non-HDL-C significantly increased after HAART initiation in both HIV and HIV/HCV patients, the TC/HDL-C ratio did not. In addition, although the pre- and post-HAART TC, HDL-C, non-HDL-C, and TC/HDL-C ratio were significantly different between HIV and HIV/HCV patients, the magnitude in the change from pre- to post-HAART was not significantly different between infection groups. These results persisted after controlling for age, sex, race, current pharmacotherapy for lipoproteins, body mass index, and current CD4 cell count. The magnitude of change in the TC/HDL-C ratio after HAART initiation is not significantly different between HIV and HIV/HCV patients, suggesting subsequent CVD risk in HIV/HCV patients may be greater than currently appreciated.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".