Practical Review of Recognition and Management of Obesity and Lipohypertrophy in Human Immunodeficiency Virus Infection
Bibliographic record
Abstract
BACKGROUND: Obesity and lipohypertrophy are common in treated human immunodeficiency virus (HIV) infection and contribute to morbidity and mortality among HIV-infected adults on antiretroviral therapy (ART). METHODS: We present a consensus opinion on the diagnosis, clinical consequences, and treatment of excess adiposity in adults with treated HIV infection. RESULTS: Obesity and lipohypertrophy commonly occur among HIV-infected adults on ART and may have overlapping pathophysiologies and/or synergistic metabolic consequences. Traditional, HIV-specific, and ART-specific risk factors all contribute. The metabolic and inflammatory consequences of excess adiposity are critical drivers of non-AIDS events in this population. Although promising treatment strategies exist, further research is needed to better understand the pathophysiology and optimal treatment of obesity and lipohypertrophy in the modern ART era. CONCLUSIONS: Both generalized obesity and lipohypertrophy are prevalent among HIV-infected persons on ART. Aggressive diagnosis and management are key to the prevention and treatment of end-organ disease in this population and critical to the present and future health of HIV-infected persons.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".