Comparison of Clinical Features of Acute HIV-1 Infection in Patients Infected Sexually or Through Injection Drug Use
Bibliographic record
Abstract
Acute HIV-1 infection (AHI) may present with a clinical picture that represents a diagnostic challenge. We tested the hypothesis that two different routes of infection, that is, sexual versus parenteral, might be associated with a difference in the clinical features of AHI. A prospective cohort of seroconvertors was established in Montréal in private medical clinics and hospitals from February 1996 to May 1999. The prevalence of the symptomatic presentation was almost overlapping within the two groups of newly infected individuals 69% (42 of 61) for men having sex with men (MSM) and 69% (18 of 26) for injection drug users (IDUs; p =.98). Comparison of all types of symptoms and signs as well as their duration was also similar in both groups. Of particular interest, the site of lymph node enlargement was not different despite the estimated sites of intravenous inoculation. Oral and anal ulcers were more frequently observed in MSM than in IDUs (6 versus 0 and 4 versus 1, respectively). Neither the mean CD4+ count (514.8 and 414.7 cells/mm3; p =.14) nor the mean viral load (4.45 and 4.70 log copies/ml; p =.40) were different between the two groups at the time of the first study visit. Our study results clearly indicate that health care workers can expect similar clinical presentation of AHI in MSM and in IDUs despite the different routes of infection.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".