Endocrine abnormalities in <scp>HIV</scp>‐infected women are associated with peak viral load – the Children and Women: AntiRetrovirals and Markers of Aging (<scp>CARMA</scp>) Cohort
Bibliographic record
Abstract
OBJECTIVES: To investigate the prevalence of endocrine disturbances in a group of HIV-positive (HIV+) women and to identify factors affecting presence of these disorders. To examine specifically whether cellular ageing, as measured by leukocyte telomere length (LTL), is correlated with the presence of endocrine disturbance. DESIGN: A cross-sectional retrospective substudy of an ongoing prospective cohort study. PATIENTS: Adult HIV+ (≥19 years) women enrolled in the CARMA (Children and Women: AntiRetrovirals and Markers of Aging) cohort study (N = 192). Prevalences of T2DM, glucose intolerance, dyslipidaemia, thyroid disorders, adrenal insufficiency, hypogonadism, primary ovarian insufficiency (POI), demographics, HIV and hepatitis C virus (HCV) infection status, baseline LTL, combined antiRetroviral therapy (cART) and substance exposures were collected. Statistical analysis included univariable followed by multivariable Poisson regression and step-wise reduction to refine the multivariable model. RESULTS: Prevalence of any endocrine abnormality was 58% (dyslipidaemia 43%, glucose intolerance/T2DM 13%, thyroid disorders 15%). In multivariable analysis, age was associated with number and type (any, glucose, lipid) of abnormality, while increasing body mass index (BMI) was associated with number of diagnoses and with glucose metabolism disorders. Interestingly, peak HIV pVL ≥100 000 copies/ml was associated with any abnormality, total number of disorders and presence of a thyroid disorder, while any disorder, glucose abnormalities and dyslipidaemia were negatively associated with alcohol use. LTL was not associated with number or type of endocrine abnormalities in this study. CONCLUSION: Further studies examining the relationship between duration and extent of exposure to HIV viraemia in relation to developing abnormal endocrine function are warranted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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".