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Record W2123725668 · doi:10.1345/aph.1h152

Breast-Feeding During Maternal Use of Azathioprine

2006· article· en· W2123725668 on OpenAlexaff
Myla E. Moretti, Zul Verjee, Shinya Ito, Gideon Koren

Bibliographic record

VenueAnnals of Pharmacotherapy · 2006
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsUniversity of TorontoSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsAzathioprineMedicineBreast milkImmunosuppressionBreast feedingAdverse effectLactationPregnancyPhysiologyObstetricsInternal medicinePediatrics

Abstract

fetched live from OpenAlex

OBJECTIVE: To report the clinical outcome of infants whose mothers were taking azathioprine while nursing and to quantify the transfer of 6-mercaptopurine (6-MP), its active metabolite, into breast milk. CASE SUMMARY: We report on a series of 4 patients treated with azathioprine while lactating. Breast milk samples were analyzed for 6-MP in 2 of the mothers. Several milk samples per patient were analyzed; levels of 6-MP were undetectable by high performance liquid chromatography (limit of detection 5 ng/mL). Therefore, the absolute relative infant dose would have been less than 0.09% of the maternal weight-adjusted dose. No adverse effects were encountered in any of the 4 infants. DISCUSSION: A large number of women of reproductive age are treated with azathioprine for a range of chronic conditions that require immunosuppression, such as systemic lupus erythematosus or solid organ transplants. Similar to other antimetabolites, the drug has generally been contraindicated for use during breast-feeding because of the theoretical concern for toxicity in the nursing infant. The available literature in this area is sparse and dated. The data presented here confirm published reports of minimal 6-MP excretion into milk, suggesting that significant systemic adverse effects in the infant are unlikely. CONCLUSIONS: Maternal azathioprine use during lactation does not appear to pose a significant immediate clinical risk to the suckling infant. Continued monitoring and long-term assessment of these infants are warranted.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.069
GPT teacher head0.375
Teacher spread0.306 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations95
Published2006
Admission routes1
Has abstractyes

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