A recent increase in AIDS at Lyon University Hospitals: patient characteristics and comparisons with previous years
Bibliographic record
Abstract
BACKGROUND: A 36% increase in the incidence of AIDS was observed in 2002/2003 compared with 2000/2001 at Lyon University Hospitals. OBJECTIVES: We compared the characteristics of these patients with the characteristics of those diagnosed previously with AIDS. METHODS: Data for all patients with AIDS diagnosed at Lyon University Hospitals were analyzed. The data were collected prospectively. Multiple logistic regression was used for analysis. RESULTS: The variables independently associated with an AIDS diagnosis in 2002/2003 compared with the 1985-1989 period were: homosexual exposure [odds ratio (OR) 0.4; 95% confidence interval (CI) 0.2-0.8]; heterosexual exposure in an endemic area (OR 22.5; 95% CI 6.8-74.8), compared with other exposure to HIV; lymphoma as initial AIDS event (OR 10.3; 95% CI 2.7-39.1) compared with Pneumocystis carinii pneumonia; and age at first AIDS event aged 34-38 years (OR 2.5; 95% CI 1.0-6.4), aged 39-46 years (OR 5.1; 95% CI 2.2-11.8), and aged 47-84 years (OR 10.6; 95% CI 4.5-25.1) compared with aged <30 years. The variables independently associated with an AIDS diagnosis in 2002/2003 compared with the 1997/2001 period were age at first AIDS event aged 34-38 years (OR 0.4; 95% CI 0.2-0.9) compared with aged <30 years. CONCLUSION: Recently diagnosed AIDS patients differed from those diagnosed previously, showing an epidemic switch in different populations. The characteristics of the AIDS population in 2002/2003 might reflect public health messages disseminated around 10 years ago or more for the prevention of HIV transmission. Anticipation of populations affected by the AIDS epidemic is difficult.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".