Antiretroviral drug resistance among HIV‐1 infected children failing treatment
Bibliographic record
Abstract
High levels of HIV-1 replication occur following perinatal infection and antiretroviral drugs may not fully suppress viral load during the early years of childhood. Adherence to treatment may also be difficult among children. These two factors will contribute to development of drug resistance but limited paediatric data are available. This study has, therefore, evaluated the prevalence of drug resistance among children and assessed the contribution of adherence to failing therapy. Samples from 26 children who had experienced virological failure to antiretroviral therapy were tested for drug resistance using the Visible Genetics TRUGENE trade mark HIV-1 genotyping assay. HIV-1 subtype was determined using a peptide-based EIA and drug adherence determined by physician assessment. Twenty-four children were black African, 23 of whom were infected with a non-B subtype. HIV RNA sequence data was obtained for 21 of the 26 children; at treatment failure resistance mutations were detected in the protease gene of 7 (33%) and the reverse transcriptase gene of 19 (90%). A lower proportion of children had evidence of drug resistance at nadir and no resistance mutations were detected prior to treatment. Genotypic resistance was common in those treated with lamivudine (10/11, 91%), nevirapine (6/8, 75%), and zidovudine (7/11, 64%). The prevalence of mutations was lower among those receiving other nucleoside reverse transcriptase inhibitors and protease inhibitors. In 50% of children, drug adherence was >90%. Antiretroviral drug resistance was common among this group of children failing therapy, the majority of whom were infected with non-B subtypes of HIV-1. As adherence to treatment was low in 50%, this was likely to be an important contributory factor.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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 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".