Early Childhood Neurodevelopmental Outcomes After Early Infant Invasive Group B Streptococcal Infection in Uganda
Bibliographic record
Abstract
Background: Group B streptococcal (GBS) sepsis during infancy is a leading cause of child mortality and an important contributor to long-term neurodisability. Data on outcomes among invasive GBS infection survivors in low- and middle-income countries are limited. We present 2-year neurodevelopment and growth outcomes after GBS sepsis in Uganda. Methods: Participants were infants with culture-proven GBS sepsis <3 months of age and a gestationally matched comparison cohort of infants who did not have GBS sepsis in Kampala, Uganda. Neurodevelopmental impairment up to 24 months (corrected age) was assessed using the Bayley Scales of Infant Development and Hammersmith Infant Neurological Examination. Weight, height, mid-upper arm circumference, and occipito-frontal circumference were measured. Results: Neurodevelopmental outcome data were available for 16 survivors of GBS sepsis and 59 comparison children. Among survivors of GBS sepsis, cognitive and language scores were lower (median difference [interquartile range], -5 [-10 to 0] and -8 [-15 to -2], respectively). Moderate to severe neurodevelopmental impairment occurred in 31% (5/16) in the GBS cohort compared with 8.5% (5/59) in the non-GBS cohort. Three children with neurodevelopmental impairment had cerebral palsy (bilateral spasticity), and 2 had global developmental delay without cerebral palsy. GBS sepsis survivors were more likely to have undernutrition compared with comparison children (25% vs 10%), largely due to severe undernutrition among those with cerebral palsy. Conclusions: In this Sub-Saharan African population, survivors of infant GBS sepsis were more likely to have impaired neurodevelopmental and growth outcomes compared with children who did not have GBS sepsis. GBS sepsis survivors should be included in long-term follow-up programs to monitor for neurodevelopmental difficulties and initiate early referrals to support services.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".