Characteristics of Sexually Transmitted Infections among High-Risk HIV-Positive Patients Attending an Urban Clinic in Uganda
Bibliographic record
Abstract
BACKGROUND: Sexually transmitted infections (STIs) significantly increase HIV transmission. Sexually transmitted infections may be asymptomatic and therefore remain undiagnosed in HIV-positive persons. Routine screening and treatment of STIs in HIV-positive high-risk populations in sub-Saharan Africa have not been described previously. METHODS: We reviewed data from an HIV-positive high-risk population at the Infectious Diseases Institute, Makerere University, a large urban HIV clinic, between July 2011 and April 2012. Our high-risk population cohort included female sex workers, long-distance drivers, barmaids, taxi drivers, commercial motorcycle "boda-boda" riders, soldiers, police officers, prison officers, security guards, prisoners, and fishermen. RESULTS: Of 355 participants enrolled in the high-risk population's program, 21.4% were diagnosed with an STI either clinically or microbiologically. The STIs diagnosed in this population were syphilis, hepatitis B, genital herpes, human papilloma virus infection (condylomata acuminata), nongonococcal urethritis (NGU), and gonorrhea. Rates of syphilis, hepatitis B, genital herpes, condylomata acuminata, NGU, and gonorrhea were 8.5%, 7.0%, 5.4%, 1.4%, 1.4%, and 0.3%, respectively. CONCLUSION: Clinical and microbiologically diagnosed STIs were diagnosed in nearly one-fourth of the HIV-positive high-risk population. HIV care programs should note our high rates of STIs among HIV-positive high-risk populations and consider routine screening and treatment algorithms for these populations in their own settings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".