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Record W3209080988 · doi:10.1093/pch/pxab061.040

51 Donor Milk in the NICU: A Community Pediatrics Perspective

2021· article· en· W3209080988 on OpenAlexaffabout
Tasha Stoltz, Aaron Jones, Lynn L. Rogers, Hargun Sidhu, Rina Patel, Adib Shamsuddin, Catherine Lee, Campbell Graham, Andrew P. Costa, Jodi Rosner

Bibliographic record

VenuePaediatrics & Child Health · 2021
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsGrand River HospitalMcMaster University
Fundersnot available
KeywordsMedicineNecrotizing enterocolitisPediatricsBreast milkInfant formulaGestational ageLow birth weightIntensive careBirth weightRetrospective cohort studyPregnancyIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

Abstract Primary Subject area Community Paediatrics Background Use of pasteurized donor human milk (PDHM) has been recommended as an alternative to formula for preterm or low birth weight infants when mom’s own breast milk (MOM) is unavailable. Studies show that compared to PDHM, formula-fed neonates had better growth rates but were at increased risk of necrotizing enterocolitis (NEC) and feeding intolerance. Notably, most of these studies were conducted in tertiary-level NICUs. The Canadian Paediatric Society recommends PDHM as an alternative to formula for neonates admitted to NICUs. However, at time of study, PDHM was not offered in many community NICUs. Objectives The aim of this project is to determine whether the introduction of donor milk in the Level 2B NICU at Grand River Hospital has made a difference in rates of suspected NEC, feeding intolerance, growth, and length of hospital stay. Design/Methods We conducted a retrospective pre-post study comparing medical records of neonates in the NICU who met the criteria to receive PDHM 2 years after the introduction of PDHM at our centre (October 2017 to September 2019) to neonates who met the same criteria but were admitted prior to introduction of PDHM (October 2015 to September 2017) and thus received formula. Neonates who received privately purchased donor milk were excluded from our analysis. Results Gestational age and birth weight was similar for the PDHM (n=127) and control (n=120) groups. Compared to the PDHM group, formula-fed neonates were more likely to be transferred to a tertiary care NICU for concerns of suspected NEC (8.9% vs. 3.1%, p=0.017). When comparing any feeding intolerance, there was no significant difference between the two groups (p=0.23). Neonates receiving PDHM had higher average daily weight gain (33.9 vs. 28.9, p < 0 .001), but were more likely to receive additional calorie supplementation. There were no differences in length of hospital stay. Conclusion The data from our community NICU support the current literature that infants who receive formula are at increased risk for transfer for suspected NEC compared to those who receive PDHM. However, in our centre, there appears to be no difference in rates of feeding intolerance, and neonates fed fortified PDHM appeared to have better growth rates. Results from this study can be used to guide the allocation of health care resources, and can be applied to other community centres. Future studies can look to replicating these results on a larger scale and analyze the cost-effectiveness of PDHM use in community centers.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.031
GPT teacher head0.331
Teacher spread0.300 · 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 designNot applicable
Domainnot available
GenreCommentary

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 routes2
Has abstractyes

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