Neonatal Abstinence Syndrome and Associated Neonatal and Maternal Mortality and Morbidity
Bibliographic record
Abstract
OBJECTIVES: We examined demographic characteristics and birth outcomes of infants with neonatal abstinence syndrome (NAS) and their mothers in Canada. METHODS: = 2 881 789). Demographic characteristics, NAS, and neonatal and maternal morbidities were identified from delivery hospitalization data (including diagnostic codes). The main composite outcomes were maternal and neonatal mortality and/or severe morbidity, including death and potentially life-threatening conditions in the mother and the infant, respectively. Logistic regression yielded adjusted odds ratios (aORs) and 95% confidence intervals (CIs). RESULTS: The study included 10 027 mother-infant dyads with NAS. The incidence of NAS increased from 0.20% to 0.51%. Maternal mortality was 1.99 vs 0.31 per 10 000 women in the NAS group versus the comparison group (aOR = 6.53; 95% CI: 1.59 to 26.74), and maternal mortality and/or severe morbidity rates were 3.10% vs 1.35% (aOR = 2.21; 95% CI: 1.97 to 2.49). Neonatal mortality was 0.12% vs 0.19% (aOR = 0.28; 95% CI: 0.15 to 0.53), and neonatal mortality and/or severe morbidity rates were 6.36% vs 1.73% (aOR = 2.27; 95% CI: 2.06 to 2.50) among infants with NAS versus without NAS. CONCLUSIONS: NAS incidence increased notably in Canada between 2005-2006 and 2015-2016. Infants with NAS had elevated severe morbidity, and their mothers had elevated mortality and severe morbidity. These results highlight the importance of implementing integrated care services to support the mother-infant dyad during childbirth and in the postpartum period.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".