MétaCan
Menu
Back to cohort

P1-S1.39 Azithromycin susceptibilities in Canadian<i>Neisseria gonorrhoeae</i>isolates (2006–2010)

2011· article· en· W2486600520 on OpenAlexaffabout
Pam Sawatzky, Irene Martín, Vanessa Allen, Linda Hoang, Brigitte Lefebvre, Marguerite Lovgren, Matthew W. Gilmour

Bibliographic record

VenueSexually Transmitted Infections · 2011
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsAlberta Health ServicesSte. Anne's HospitalBC Centre for Disease ControlToronto Public HealthPublic Health Agency of Canada
Fundersnot available
KeywordsNeisseria gonorrhoeaeAzithromycinMedicineMicrobiologyGonorrheaNeisseriaUrethritisNeisseriaceaeVirologyGonococcal infectionAntibioticsSexually transmitted diseaseBacteriaSyphilisInternal medicineBiologyGeneticsHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

Background Canada conducts surveillance of antimicrobial susceptibilities inNeisseria gonorrhoeaestrains to support development of treatment guidelines. Methods N gonorrhoeaestrains were isolated or collected by Canadian provincial public health and reference laboratories. Minimum inhibitory concentrations (MICs) were determined by agar dilution for penicillin, spectinomycin, tetracycline, erythromycin (ery), ceftriaxone, ciprofloxacin (cip), cefixime, and azithromycin (az) at the provincial laboratories or the National Microbiology Laboratory (NML). Sequence types (ST), auxotypes, and plasmid profiles were also determined at the NML. Results Thirty-nine strains from British Columbia (n=18), Alberta (n=2), Ontario (n=9) and Quebec (n=10) were found to be az resistant (R) (MIC≥2 μg/ml) by either a provincial laboratory or NML between 2006 and 2010. Ten different resistance profiles were represented by the 39 strains. Twenty or 51.3% were Chromosomally-Mediated ResistantN gonorrhoeae/azR/cipR (CMRNG/azR/cipR), 4 (10.3%) were Probable CMRNG/azR/cipR and 3 (7.7%) were Penicillinase-ProducingN gonorrhoeae/Tetracycline-ResistantN gonorrhoeae/azR/cipR/eryR (PPNG/TRNG/azR/cipR/eryR). One strain was CMRNG/azR/cipR with reduced susceptibility to cefixime. Twenty-one different sequence types were determined, the most common being ST-1407 with 20.5% (8/39), ST-225 and ST-4815 with 10.3% (4/39) each. Although the estimated rate of azithromycin resistance between 2006 and 2009 is very low at 0.2% of all isolates tested across Canada (31/15 487), the MICs for azithromycin are gradually increasing. In 2001, the majority of strains (27.8%) had an azithromycin MIC=0.25 μg/ml which increased to 51.5% by 2006. In 2007, the majority of strains (55.9%) had azithromycin MIC=0.5 μg/ml. The highest azithromycin MIC found was ≥64 μg/ml (n=2). Conclusions A shift in azithromycin MICs has definitely occurred and may continue to increase. Although azithromycin is not recommended as the primary treatment for gonorrhoea, it is listed as an alternative treatment. With the increasing reduced susceptibility of our primary treatments for gonorrhoea (cefixime and ceftriaxone), azithromycin may be required to treat gonorrhoea either on its own or in combination with third generation cephalosporins. Therefore, it is imperative that azithromycin susceptibilities inN gonorrhoeaecontinue to be monitored.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.018
GPT teacher head0.229
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueSexually Transmitted InfectionsSame topicBacterial Infections and VaccinesFrench-language works237,207