Evolution and molecular characterization of macrolide-resistant Streptococcus pneumoniae in Canada between 1998 and 2008
Bibliographic record
Abstract
OBJECTIVES: Studies were performed to assess resistance mechanisms, multidrug resistance (MDR), genetic relatedness, serotype distribution, heptavalent pneumococcal conjugate vaccine (PCV7) coverage and pili virulence factors among macrolide-resistant Streptococcus pneumoniae (MRSP) isolated from respiratory samples submitted to hospital laboratories across Canada from 1998 to 2008. METHODS: Isolates of MRSP (n = 1518) collected by the national surveillance studies CROSS (Canadian Respiratory Organism Susceptibility Study; 1998-2006) and CANWARD (Canadian Ward Surveillance Study; 2007-08) were tested using the CLSI broth microdilution method to establish antimicrobial susceptibilities. PCR was used to detect macrolide resistance genes [mef(A) and erm(B)] and pili virulence factors (type 1 pili and type 2 pili), the Quellung reaction was used to identify serotypes and PFGE was used to determine genetic relatedness. RESULTS: The prevalence of MRSP increased from 8% in 1998 to 22% in 2008 (P = 0.0001). MRSP were 51% mef(A) positive, 36% erm(B) positive, 8% dual mef(A) and erm(B) positive and 5% mef(A) and erm(B) negative. Dual mef(A)- and erm(B)-positive isolates increased in prevalence from 3% in 1998 to 19% in 2008 (P = 0.001). The prevalence of PCV7 serotypes (4, 6B, 9V, 14, 18C, 19F and 23F) decreased from 67% in 1998 to 31% in 2008 (P = 0.0072). The prevalence of serotype 19A, a non-PCV7 serotype, increased by 15% from 1998 to 2008; isolates of serotype 19A were MDR, dual mef(A) and erm(B) positive, genetically related by PFGE and associated with the presence of pili virulence factors. CONCLUSIONS: From 1998 to 2008, respiratory isolates of MRSP in Canada increased significantly due primarily to the emergence and spread of serotypes 6A, 19A and other non-PCV7 serotypes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".