Time of day/unit busyness at birth and perinatal hypoxia and or moderate to severe hypoxic ischemic encephalopathy a cohort study
Bibliographic record
Abstract
OBJECTIVES: To investigate the potential link between nighttime births, unit busyness, and the incidence of perinatal hypoxia or moderate-to-severe hypoxic-ischemic encephalopathy. METHODS: Retrospective cohort study with nested case control study of all singleton births ≥ 35-week gestation for the years 2010-20, in Alberta, a province of Canada. Perinatal Hypoxia was defined as intrapartum stillbirth or neonatal death from asphyxia or Neonatal Intensive Care Unit admission and at least two of the following: a. Apgar score of ≤ 5 at 10 min; b. mechanical ventilation or chest compressions for resuscitation within 10 min; c. cord pH < 7.00 (venous or arterial), or arterial base deficit ≥ 12 at birth. Moderate-severe hypoxic ischemic encephalopathy was defined as per Sarnat criteria. Nighttime birth was defined as between 2000 and 0559 h. Unit busyness was characterized by number of births by site per shift and was described by quartiles. RESULTS: The risk of perinatal hypoxia was higher for nighttime births, risk difference 0.5/1000 births, 95% confidence interval (0.2-0.8), but moderate-severe hypoxic ischemic encephalopathy was not, risk difference 0.2/1000 births 95% confidence interval (0.0-0.3). We did not observe an increase in the risk of perinatal hypoxia or moderate-severe hypoxic ischemic encephalopathy with delivery in the highest quartile of unit busyness. CONCLUSIONS: We observed a small increase in the risk of birth with perinatal hypoxia for nighttime births but not for moderate-severe hypoxic ischemic encephalopathy. Neither perinatal hypoxia or moderate-severe hypoxic ischemic encephalopathy was associated with unit busyness.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".