HIV viral load trajectories of women living with HIV in Metro Vancouver, Canada
Bibliographic record
Abstract
This study describes long-term viral load (VL) trajectories and their predictors among women living with HIV (WLWH), using data from Sexual Health and HIV/AIDS: Women’s Longitudinal Needs Assessment (SHAWNA), an open prospective cohort study with linkages to the HIV/AIDS Drug Treatment Program. Using Latent Class Growth Analysis (LCGA) on a sample of 153 WLWH (1088 observations), three distinct trajectories of detectable VL (≥50 copies/ml) were identified: ‘sustained low probability of detectable VL’, characterized by high probability of long-term VL undetectability (51% of participants); ‘ high probability of delayed viral undetectability’, characterized by a high probability VL detectability at baseline that decreases over time (43% of participants); and ‘ high probability of detectable VL’, characterized by a high probability of long-term VL detectability (7% of participants). In multivariable analysis, incarceration (adjusted odds ratio (AOR) = 3.24; 95%CI:1.34–7.82), younger age (AOR = 0.96; 95%CI:0.92–1.00), and lower CD4 count (AOR = 0.82; 95%CI:0.72–0.93) were associated with ‘ high probability of delayed viral undetectability’ compared to ‘sustained low probability of detectable VL.’ This study reveals the dynamic and heterogeneous nature of WLWH’s long-term VL patterns, and highlights the need for early engagement in HIV care among young WLWH and programs to mitigate the destabilizing impact of incarceration on WLWH’s HIV treatment outcomes.
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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 | 0.001 |
| 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 | 0.000 |
| 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 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".