Perinatal Transmission and Clinical Outcomes of Neonates Born to SARS-CoV-2-Positive Mothers
Bibliographic record
Abstract
BACKGROUND: The aim of the study was to investigate the clinical outcomes and rate of virus detection in neonates born to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive mothers. METHODS: This prospective study included neonates born to SARS-CoV-2-positive mothers, documenting their viral polymerase chain reaction results and clinical outcomes. RESULTS: Of the 130 neonates born to 122 SARS-CoV-2-positive mothers, 12% tested positive. Most (62%) neonates were delivered via cesarean section at an average gestational age of 36 weeks, with a birth weight of 2,900 g. Only 38% neonates required admission. SARS-CoV-2-positive infants were born at a significantly lower gestational age; had a significantly lower birth weight; and had significantly higher admission rates, surfactant therapy, and bradycardia than SARS-CoV-2-negative infants. There was no significant difference in mortality rates. CONCLUSION: This study documents perinatal transmission of SARS-CoV-2. It reports for the first time the occurrence of neonatal bradycardia as a complication of maternal SARS-CoV-2 infection. Despite that, neonates born to SARS-CoV-2-positive mothers had relatively good short-term outcomes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".