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Record W2612738597 · doi:10.1089/bfm.2017.0031

Severe Hypernatremic Dehydration and Lower Limb Gangrene in an Infant Exposed to Lamotrigine, Aripiprazole, and Sertraline in Breast Milk

2017· article· en· W2612738597 on OpenAlexaff
Caroline Morin, Isabelle Chevalier

Bibliographic record

VenueBreastfeeding Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineLamotriginePediatricsHypernatremiaBreastfeedingAripiprazoleBreast feedingSertralineGangreneSurgeryInternal medicineEpilepsySchizophrenia (object-oriented programming)Psychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Hypernatremic dehydration is well described in exclusively breastfed neonates, although life-threatening complications are rarely reported. MATERIALS AND METHODS: The present article describes a case of severe hypernatremic dehydration in a previously healthy term neonate. Other published cases of severe complications of hypernatremic dehydration are discussed. RESULTS: The exclusively breastfed neonate described had severe hypernatremic dehydration because of inadequate milk intake, with disseminated intravascular coagulation and right lower limb gangrene that required amputation of all five toes and surgical debridement of the metatarsals. The usual etiology of hypernatremic dehydration in this age group is insufficient breast milk intake. Here, the infant's mother was treated for bipolar disorder with lamotrigine 250 mg orally once daily, aripiprazole 15 mg orally once daily, and sertraline 100 mg orally once daily. CONCLUSIONS: Awareness of these complications should prompt close follow-up of the infant with poor weight gain. The role of maternal medication as a risk factor for hypernatremic dehydration among exclusively breastfed infants needs to be further explored.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.307
Teacher spread0.280 · 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.

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

Citations18
Published2017
Admission routes1
Has abstractyes

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