Nelfinavir+M8 Plasma Levels Determined with an ELISA Test in HIV Infected Patients with or without HCV and/or HBV Coinfection: The VIRAKINETICS II Study
Bibliographic record
Abstract
Virakinetics II was designed as an observational, multicenter cohort study conducted in HIV-positive patients treated with NFV-based combinations. Trough (pre-dose) concentrations of NFV+M8 in plasma were determined using a novel ELISA test (NFV TDM-ELISA) and analyzed using clinical and laboratory parameters. Drug levels were sorted as below, within or above a given interval (<0.8 microg/mL, 0.8-3.5 microg/mL and >3.5 microg/mL, respectively). Longitudinal analysis was performed in a subset of patients who underwent two or more determinations. Ninety patients on NFV-containing HAART were enrolled and 43 were coinfected with HCV and/or HBV. Among coinfected patients, 10 subjects had a clinical or histological diagnosis of cirrhosis. Compared to the HIV-monoinfected, the coinfected patients were significantly older, more treatment-experienced, with higher frequency of lipodystrophy and altered liver function test values (all p values: <0.05). Coinfected patients were also more likely to be on a reduced dose of NFV than monoinfected (p=0.03). No significant difference was observed between the two groups with regard to NFV+M8 trough values and concentration range distribution. Median NFV+M8 C(trough) concentrations were higher in coinfected patients, but without reaching statistical significance (p=0.2). This new ELISA test proved to be a rapid, convenient and reliable tool for assessing NFV+M8 plasma levels in HIV-positive patients. It could be suitable for use within the framework of routine clinical practice even in peripheral centers without specialized laboratories.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".