Mycoplasma genitalium Incidence, Organism Load, and Treatment Failure in a Cohort of Young Australian Women
Bibliographic record
Abstract
BACKGROUND: Mycoplasma genitalium (MG) is an emerging sexually transmitted infection (STI) that is potentially associated with reproductive tract sequelae in women. This study aimed to estimate MG incidence and treatment failure and provide estimates of organism load in infection. METHODS: 1110 women aged 16-25 years were recruited from primary care clinics in Australia. Women were tested for MG at baseline, 6 months, and 12 months, and MG organism load was measured by quantitative polymerase chain reaction (PCR). MG-positive cases were screened for MG 23S ribosomal RNA (rRNA) gene point mutations shown to confer azithromycin resistance using high-resolution melt following PCR. RESULTS: MG incidence rate was 1.3 per 100 person-years (n=14; 95% confidence interval [CI], .8-2.3); women reporting 3 or more sex partners in the last 12 months had an increased rate of incident infection (rate ratio [RR], 5.1; 95% CI, 1.3-19.6]). There were 3 cases of MG reinfection (0.8 per 100 person-years [95% CI, .1-.9]. Organism load was higher for prevalent than incident infection (P=.04). There were 3 cases of treatment failure (9.4% [95% CI, 2.0-25.0]); organism load was higher in cases with treatment failure than in successfully treated cases (P<.01). An MG 23S rRNA mutation was detected in 5 cases (3 cases of treatment failure and 2 successfully treated). CONCLUSIONS: Although MG incidence was relatively low, testing should be recommended for women considered to be at increased risk based on sexual history. Our results also suggest that organism load might be important in azithromycin treatment failure.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 0.001 |
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".