Evaluation of a New Chromogenic Medium (StrepB Select) for Detection of Group B Streptococcus from Vaginal-Rectal Specimens
Bibliographic record
Abstract
We compared StrepB Select medium (Select) after enrichment with conventional culture for the detection of Group B Streptococcus (GBS). Postenrichment sensitivities of Select and conventional culture were 98.8 % and 92.2%, respectively (P < 0.05). Select was superior for detection of GBS from vaginal-rectal specimens. Growth of non-GBS colonies required additional work to exclude the presence of GBS, especially after 48 h of incubation. Incubation of Select beyond 24 h did not significantly increase the yield of GBS. As group B Streptococcus (GBS) remains a significant cause of neonatal morbidity and mortality, antenatal screening for GBS at 35 to 37 weeks of gestation is recommended to deter-mine whether antimicrobial prophylaxis is warranted (4, 7). The use of newer, chromogenic media may improve the yield of GBS, while reducing labor and turnaround time (5). We evaluated a new chromogenic medium, StrepB Select (Select; Bio-Rad Laboratories, Marnes-la-Coquette, France), a selec-tive medium for the detection and presumptive identification of GBS in vaginal and vaginal-rectal specimens (9). We com-pared the recovery of GBS from StrepB Select with that from conventional culture on colistin-nalidixic acid agar with 5% sheep blood (CNA; Oxoid, Nepean, Ontario, Canada) with and without broth enrichment using Streptococcus selective
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".