Australian Gonococcal Surveillance Programme Annual Report, 2022
Bibliographic record
Abstract
The Australian Gonococcal Surveillance Programme (AGSP) has continuously monitored antimicrobial resistance in Neisseria gonorrhoeae for more than 40 years. In 2022, a total of 8,199 isolates from patients in the public and private sectors, in all jurisdictions, were tested for in vitro antimicrobial susceptibility by standardised methods. The current treatment recommendation for gonorrhoea, for the majority of Australia, continues to be dual therapy with ceftriaxone and azithromycin. In 2022, of N. gonorrhoeae isolates tested, 0.51% (42/8,199) met the WHO criterion for ceftriaxone decreased susceptibility (DS), defined as a minimum inhibitory concentration value ≥ 0.125 mg/L. Resistance to azithromycin was reported in 3.9% of N. gonorrhoeae isolates, proportionally stable since 2019. There were nine isolates with high-level resistance to azithromycin (MIC value ≥ 256 mg/L) reported in Australia: Queensland (4), New South Wales (3), Victoria (1) and non-remote Western Australia (1). This is the highest number detected annually by the AGSP. In 2022, penicillin resistance was found in 38.8% of gonococcal isolates, and ciprofloxacin resistance in 63.3%, however, there was considerable variation by jurisdiction. In some remote settings, penicillin resistance remains low; in these settings, penicillin continues to be recommended as part of an empiric therapy strategy. In 2022, in remote Northern Territory, one penicillin-resistant isolate was reported; in remote Western Australia, 11.8% of gonococcal isolates (9/76) were penicillin resistant. There were three ciprofloxacin-resistant isolates reported from remote Northern Territory; ciprofloxacin resistance rates remain comparatively low in remote Western Australia (6/76; 7.9%).
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".