Prevalence of Fetal Ethanol Exposure in a Regional Population-Based Sample by Meconium Analysis of Fatty Acid Ethyl Esters
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Bibliographic record
Abstract
Challenges in identifying children exposed prenatally to ethanol necessitate the development of a biomarker for neonates at risk for fetal alcohol spectrum disorder. Meconium fatty acid ethyl esters (FAEE), products of nonoxidative ethanol metabolism, have been established as a novel biomarker of fetal ethanol exposure. We present the first application of this biomarker to a population-based sample in Canada. Six-hundred eighty-two meconium specimens were anonymously collected in the region of Grey Bruce, Ontario, Canada. Meconium FAEE were extracted by liquid-liquid and solid-phase extraction and analyzed by gas chromatography with flame-ionization detection confirmed by gas chromatography with mass spectrometry. We measured ethyl palmitate (E16:0), ethyl palmitoleate (E16:1), ethyl stearate (E18:0), ethyl oleate (E18:1), ethyl linoleate (E18:2), ethyl linolenate (E18:3), and ethyl arachidonate (E20:4). Seventeen of 682 meconium samples tested positive for significant prenatal ethanol exposure (>2.0 nmol/g). FAEE analysis detected fivefold more ethanol-exposed pregnancies than standard postpartum questionnaires in this population (2.5% versus 0.5%) (P < 0.001). The prevalence of ethanol-exposed pregnancies was consistent with Centers for Disease Control and Prevention estimates of "frequent" prenatal drinking and previously published estimates of fetal alcohol spectrum disorder disease prevalence in the general North American population. The FAEE concentrations of negative (95% confidence interval, 0.38-0.49 nmol/g) versus positive (95% confidence interval, 7.74-151.28 nmol/g) samples were distinct, further demonstrating the specificity of this biomarker in determining significant prenatal ethanol exposure. Meconium FAEE analysis demonstrates a fivefold increase in sensitivity over currently used methods of self-report-based screening in Ontario for the detection of ethanol-exposed pregnancies in a clinical setting.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 it