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Record W3204403034 · doi:10.4103/jcn.jcn_210_20

Severe Feeding Intolerance in Extremely Preterm Neonates Successfully Treated with Human Milk Derived Human Milk Fortifier

2021· article· en· W3204403034 on OpenAlexaff
Patricia Lima Furtado Lofiego, Veronica Samedi, Stientje Esther

Bibliographic record

VenueJournal of Clinical Neonatology · 2021
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsMcMaster UniversityUniversity of SaskatchewanMcMaster Children's Hospital
Fundersnot available
KeywordsMedicinePediatricsEnteral administrationParenteral nutritionInfant formulaIntensive care medicine

Abstract

fetched live from OpenAlex

Feeding intolerance in preterm infants can be severe and can lead to clinical suspicion and diagnostic testing for other acute abdominal surgical pathologies and hence delay achievement of full enteral feeds. We present two cases of extremely premature infants who presented with recurrent severe feeding intolerance following fortification of human milk with a bovine human milk fortifier (HMF). Subsequently, both infants had an extensive workup for their symptoms. Each infant was eventually tried on a human HMF which led to the complete resolution of symptoms in each case. This case series highlights that clinicians should consider the use of human HMF for preterm infants with severe feeding intolerance secondary to the use of bovine HMF.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.063
GPT teacher head0.392
Teacher spread0.329 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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