322. Prolonged Amenorrhea Is Associated with Decreased Hip Bone Mineral Density in Women Living with HIV
Bibliographic record
Abstract
Abstract Background Women living with HIV (WLWH) have higher rates of long-term amenorrhea (no flow for ≥12 months) than HIV-negative women. However, little is known about the consequences of amenorrhea for WLWH. Both amenorrhea and HIV are associated with lower areal bone mineral density (BMD); though the combined effect of both on BMD remains unclear. In this cross-sectional study we investigated whether prolonged amenorrhea adversely affects BMD among WLWH. Methods We investigated BMD (using a Hologic bone densitometer) and prolonged amenorrhea among WLWH and HIV-negative control women of similar socioeconomic backgrounds aged 19–68 in the CARMA cohort. Participants were stratified by HIV status and history of prolonged secondary amenorrhea defined as a self-reported absence of menses for at least one year in the past or present, occurring at age <45 years and not due to surgery, breastfeeding, pregnancy or hormonal contraception. Hip and spine Z-scores (age- and race- standardized BMD values) were compared between groups using linear models, followed by multivariable analysis of BMD-related factors. Results WLWH (N = 129) had significantly lower hip (mean±SD −0.4 ± 0.9 vs. 0.3 ± 1.1; P < 0.001) and spine (−0.5 ± 1.3 vs. 0.2 ± 1.3; P = 0.001) Z-scores vs. controls (N = 129). Multivariable linear regression found prolonged amenorrhea was independently related to lower hip (P = 0.01), but not spine (P = 0.94) BMD. Within WLWH, the effect of amenorrhea was also additive to that of HIV, with hip Z-scores of -0.8±0.9for those with amenorrhea vs. -0.3±0.8for those normally cycling (P = 0.01). Amongst WLWH, those with prolonged amenorrhea had higher rates of illicit substance use, smoking, chronic opioid therapy, hepatitis C viral infection, and poorer HIV viral control than those with normal menstruation. Conclusion These data suggest that WLWH having prolonged amenorrhea of ≥1 year’s duration are at increased risk for hip bone loss, a finding influenced by comorbid, HIV-associated conditions. Screening WLWH for menstrual history will allow early discovery of osteoporosis risk, and stimulate preventative measures to mitigate bone loss. Disclosures All authors: No reported disclosures.
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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 | 0.000 | 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) | 0.003 | 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 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".