Putative Association of ABCB1 2677G>T/A With Oxycodone-Induced Central Nervous System Depression in Breastfeeding Mothers
Bibliographic record
Abstract
OBJECTIVE: To assess the effect of maternal CYP2D6, CYP3A5, ABCB1, and OPRM1 polymorphisms in predicting both neonatal and maternal central nervous system depression after oxycodone use during lactation. STUDY DESIGN: A nested case-control study in 67 breastfeeding mother-infant pairs exposed to oxycodone was conducted. Cases were defined as parental reports of lethargy in the infant temporally related to oxycodone exposure via breastmilk. Maternal saliva samples were analyzed for 18 polymorphisms in 4 genes, CYP2D6, CYP3A5, OPRM1, ABCB1, involved in oxycodone metabolism and response. RESULTS: Mothers of symptomatic infants were using oxycodone for a longer period of time during breastfeeding compared with those of asymptomatic infants (P < 0.0001). None of the maternal genetic variants in the 4 genes were associated with oxycodone-induced depression in neonates. However, mothers carrying at least one copy of the ABCB1 2677 T variant had an increased risk of experiencing sedation themselves (odds ratio, 2.35; 95% confidence interval, 1.06-5.28; P = 0.03). CONCLUSIONS: The ABCB1 2677 T variant may predict oxycodone-induced central nervous system depression in breastfeeding mothers.
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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 | 0.002 |
| 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) | 0.002 | 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".