MétaCan
Menu
Back to cohort
Record W2990084093 · doi:10.1289/isee.2017.2017-848

Meconium: A Novel Biomarker of In Utero Exposure to Acetaminophen and Caffeine

2018· article· en· W2990084093 on OpenAlexaffabout
Hannah E. Laue, Raphael Cassoulet, Jean‐Philippe Bellenger, Andrea Baccarelli, Larissa Takser

Bibliographic record

VenueISEE Conference Abstracts · 2018
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsIn uteroCaffeineBiomarkerAcetaminophenMeconiumMedicinePregnancyToxicologyEnvironmental healthPharmacologyChemistryInternal medicineFetusBiology

Abstract

fetched live from OpenAlex

Background/Aim: Epidemiology relies on cord blood concentrations to estimate in utero exposure to environmental chemicals, but collection can be hampered by delivery complications or timing. Meconium is a non-invasive biological matrix that accumulates over the last two trimesters of pregnancy and can be collected outside the stressful environment of the delivery room. We assessed whether meconium concentrations of acetaminophen and caffeine were associated with maternal intake of these compounds during pregnancy in the GESTation and Environment (GESTE) study, a longitudinal birth cohort in Sherbrooke, Québec, Canada. Methods: We recruited pregnant women (n=238) during the first trimester and assessed maternal intake of acetaminophen during pregnancy (yes/no) via questionnaire. Clinical files from the hospital medical database and medical charts were used to determine administration of acetaminophen during labor (yes/no) and maternal coffee intake (yes/no) during pregnancy. We measured concentrations of acetaminophen and caffeine in meconium using ultra performance liquid chromatography tandem mass spectrometry and log-transformed them to achieve a normal distribution. We used multivariable linear regression analyses adjusted for pre-pregnancy BMI to determine the association between maternal intake of acetaminophen during labor/delivery and meconium levels. In our analysis for caffeine we also adjusted for gestational age to account for duration of exposure. Results: Acetaminophen administration during labor was associated with a significant increase in meconium acetaminophen concentration (µno=2.30 ng/g, µyes=4.15 ng/g; p=0.0002), accounting for acetaminophen intake during pregnancy. Acetaminophen intake during pregnancy was marginally associated with meconium concentrations (µno=2.51 ng/g, µyes=3.83 ng/g; p=0.10), adjusting for administration at delivery. Maternal report of caffeine intake during pregnancy was associated with a significant increase in meconium caffeine concentrations (µno=5.46 ng/g, µyes=6.33 ng/g; p<0.0001). Conclusions: Maternal acetaminophen and caffeine intake is associated with concentrations in meconium, suggesting that meconium can be used to assess in utero exposure. This method may be extended to environmental chemicals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.056
GPT teacher head0.318
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueISEE Conference AbstractsSame topicBreastfeeding Practices and InfluencesFrench-language works237,207