Incidence of early and late onset group B streptococcal and Escherichia coli neonatal infection after universal antenatal culture-based screening of group B streptococcus in all public hospitals in Hong Kong: a retrospective cohort study
Bibliographic record
Abstract
Objective: To compare the incidences of early and late onset neonatal sepsis, including group B streptococcus (GBS) and Escherichia coli (E.coli) before and after implementation of universal screening. Design: Retrospective cohort study Setting: Eight public hospitals with obstetrics services under the Hospital Authority and 31 Maternal and Child Health Centres (MCHC) under the Department of Health in Hong Kong Population: 460552 women attending routine antenatal service from 2009 to 2020. Methods: Universal culture-based GBS screening was offered to eligible women since 2012. Total maternity, births, GBS screening tests, GBS isolated in maternal genital tract, neonatal sepsis with positive blood or cerebrospinal fluid were retrieved from clinical and laboratory database of the Hospital Authority using clinical data analysis and reporting system (CDARS) and clinical system of MCHCs. Main outcome measures: Maternal GBS colonisation rate, early onset GBS disease, early onset E. coli infection, late onset GBS disease, and late onset E. coli infection Results: Of 318740 women with universal culture-based screening, 63767 women (20.0%) were screened positive. After implementation of GBS screening, the incidences of both early and late onset neonatal sepsis reduced significantly, including those caused by GBS. There was no change in the incidence of early onset E.coli sepsis, while the incidence of late onset E.coli sepsis reduced. Conclusions: Universal culture-based GBS screening in Hong Kong has been successful in prevention of early and late onset neonatal sepsis, including those caused by GBS. E.coli has become more common than GBS in early neonatal sepsis, although the incidence remained similar.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".