Mycoplasma Genitalium And Streptococcus Agalactiae Colonization In Pregnant Women: An Emerging Relationship
Bibliographic record
Abstract
Abstract Introduction/Objective Mycoplasma genitalium has been identified as an emerging sexually transmitted infection (STI) causing cervicitis, pelvic inflammatory disease and other gynecologic pathology. The prevalence of M. genitalium in pregnant women has not been determined, nor has frequency of co-infection with Streptococcus agalactiae (GBS). Neonatal sepsis caused by GBS is associated with black race and young maternal age with approximately 10%-30% of pregnant women colonized. The aim of this retrospective study was to investigate the possible association between M. genitalium infection and colonization with GBS in a large cohort of pregnant women from a tertiary care center in Houston, Texas. Methods Remnant endocervical samples collected from pregnant women attending clinics at the Baylor College of Medicine between September 2019 and December 2019 were screened for M. genitalium by transcription mediated amplification (Hologic, Inc. Marlborough, MA). Demographic, STI co-infection [Human papillomavirus (types 16,18), Trichomonas vaginalis, Chlamydia trachomatis, Neisseria gonorrhoeae, Treponema pallidum, and Herpes simplex virus], and GBS status data were recorded. Fisher’s exact test was performed for statistical analysis. Results 719 total samples were collected and tested for M. genitalium. Of these, 41 (5.7%) were positive. The mean age of infected women was younger than noninfected women (24.9 vs. 28.1 years respectively p = 0.0004). More black women (34.2%) were infected with M. genitalium compared to white (14.6%) or other (51.2%) (p = 0.0003). Rates of GBS colonization was significantly higher among women infected with M. genitalium compared to women who tested negative (58.3% vs. 16.1% respectively p = 0.002) and increased compared to national reported rates of GBS colonization. M. genitalium also showed a significant association with T. vaginalis (p=0.03), but no other STI co- infections studied. Conclusion Our data demonstrates that infection with M. genitalium may be associated with persistent GBS colonization. Further prospective studies are needed to further elucidate this relationship.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".