Lean Mass Declines Consistently over 10 Years in People living with HIV on Antiretroviral Therapy, with Patterns Differing by Sex
Bibliographic record
Abstract
Background The long-term trajectory of and factors affecting lean mass in people living with HIV (PLWH) are incompletely described. Methods PLWH in the Modena HIV Metabolic Cohort underwent dual-energy X-ray absorptiometry (DXA) scans every 6–12 months for up to 10 years (median 4.6 scans). Mixed effect regression modelling in combined and sex-stratified models determined annual rates of and clinical factors significantly associated with appendicular lean mass (ALM). Results A total of 839 women and 1,759 men contributing ≥2 DXA scans had baseline median age 44 years and 14 years since HIV diagnosis; 76% were virologically suppressed on antiretroviral therapy (ART). Baseline median ALM was 16.9 kg for women and 24.8 kg for men. ALM decreased during the study period, with mean yearly ALM loss of −231 g in women and −322 g in men. Less ALM was associated with female sex, age >50 years, detectable HIV-1 RNA, and tenofovir and integrase inhibitor use. Greater ALM was associated with longer ART duration. In sex-stratified models, relationships between ALM and total ART duration and integrase inhibitor use were not significant for women, but the relationship with tenofovir use persisted. For men, AIDS wasting and CD4 + T-lymphocyte nadir <200 cells/ml were independently associated with lower ALM. Conclusions ALM steadily declined over time in this cohort of PLWH on ART that included a large number of women. HIV- and ART-specific risk factors emerged that varied by sex. The observed associations between tenofovir or integrase inhibitor use and lower ALM particularly warrant further study.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".