Gender and long‐term metabolic toxicities from antiretroviral therapy in HIV‐1 infected persons
Bibliographic record
Abstract
Gender differences in a large population-based cohort of HIV-1 infected patients (245 women and 723 men) were examined with respect to the incidence of metabolic and morphologic alterations after initiation of highly active antiretroviral therapy (HAART). Patients initiated HAART between January 1996 and December 2003. The outcome measures were the incidence of hyperglycemia, hypercholesterolemia, symptomatic lactic acidosis, treatment-limiting lipodystrophy, and hypersensitivity reaction. Cox proportional hazards models were used to estimate the crude and adjusted hazard ratios of reaching the endpoints for exposures and covariates. Women were younger than men (35 +/- 9.8 vs. 40 +/- 8.2 years, P < 0.001) and more frequently from Haiti or Africa (59%), whereas 76% of men were Canadian-born. Type of initial HAART regimen did not differ between women and men. There were no gender differences in the overall incidence of hyperglycemia, hypercholesterolemia, or treatment-limiting lipodystrophy, even after adjusting for age, CD4 cell count, viral load, time since HIV diagnosis, history of AIDS-defining illness and year of HAART initiation. In contrast, women had significantly higher risk of developing lactic acidosis than men (P = 0.0009). Hypersensitivity reactions were also more frequent in women than men (adjusted hazard ratio = 4.4 (95% CI: 2.1-9.3)). Collectively, these data suggest that metabolic toxicities after HAART do not differ by gender but that lactic acidosis and hypersensitivity reactions are more frequent in women than men.
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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) | 0.003 | 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".