High prevalence of coinfection of azithromycin-resistant<i>Mycoplasma genitalium</i>with other STIs: a prospective observational study of London-based symptomatic and STI-contact clinic attendees
Bibliographic record
Abstract
OBJECTIVES: (MG) infection, and particularly if MG has macrolide resistance-associated mutations (MG-MRAMs). We estimated prevalence of coinfections of CT with MG carrying MRAM, and risk factors for MG-MRAM among a sexual health clinic population. STUDY DESIGN AND SETTING: Among symptomatic and STI-contact clinic attendees in London, prevalence of CT-MG coinfection and MG-MRAM were estimated using nucleic acid amplification testing and Sanger sequencing, respectively, and their associated risk factors analysed using logistic regression. RESULTS: MG prevalence was 7.5% (23/307), 17.3% (30/173), and 11.4% (8/70) in females, men who have sex with women (MSW) and men who have sex with men (MSM), respectively; MG coinfection in CT-infected participants represented 28.0% (7/25), 13.5% (5/37), 0.0% (0/0), respectively. Presence of MG-MRAM was 39.1% (9/23) in female swabs, 70.0% (21/30) in MSW urine and 83.3% (5/6) in MSM rectal swabs. In multivariate analyses, coinfection with another STI was strongly associated with MG-MRAM (OR: 7.19; 95% CI: 2.4 to 21.5). CONCLUSION: A significant proportion of participants in our study of symptomatic patients and STI contacts were infected with macrolide-resistant MG, suggesting that testing for MG and MRAM, for MG positives, might be clinically useful. The findings also suggest services explore potential benefits of testing CT positive samples for MG in these patient groups. Where MG testing is not available, potential high rates of MG coinfection should be borne in mind when considering azithromycin in the treatment of CT among STI contacts and symptomatic patients.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 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 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".