Narcotic-exposed neonates in a First Nations population in northwestern Ontario
Bibliographic record
Abstract
Objective To document the incidence of neonatal abstinence syndrome (NAS) and the rate of narcotic use during pregnancy in northwestern Ontario, where narcotic abuse is a growing social and medical problem. Design Retrospective chart review. Setting The Sioux Lookout Meno Ya Win Health Centre catchment area in northwestern Ontario. Participants Mothers and neonates for the 482 live births that took place in the 18-month study period (January 2009 to June 2010). Main outcome measures Maternal drug use and neonatal outcomes were documented. Results The incidence of narcotic (oxycodone) abuse during pregnancy increased from a low of 8.4% at the beginning of the study period to a high of 17.2% by mid-2010. Narcotic-using mothers were more likely to also use nicotine and alcohol, to have premature deliveries, and to be episodic users. Narcotic-exposed neonates experienced NAS 29.5% of the time; daily maternal use was associated with a higher rate of NAS (66.0%). While all infants roomed in with their mothers, exposed infants were more likely to require transfer to a tertiary care nursery. Infants with severe NAS were treated with oral morphine and had significantly longer hospital stays compared with the entire cohort (4.5 vs 1.5 days, P = .004). Narcotic abuse during pregnancy in our region is not currently associated with increased rates of HIV or hepatitis C infection, as intravenous route of administration is less common at present than intranasal and oral ingestion. Conclusion Narcotic abuse during pregnancy is a considerable problem in First Nations communities in northwestern Ontario. Community-based initiatives need to be developed to address this issue, and medical and nursing staff need to develop surveillance, assessment, and therapeutic responses. Passive neonatal addiction and withdrawal result from maternal narcotic use during pregnancy. Rates of opioid use among pregnant Canadian women are unknown.
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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 | 0.001 | 0.001 |
| 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".