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Record W3026190582 · doi:10.1016/j.clnesp.2020.05.001

Growth of cardiac infants with post-surgical chylothorax can be supported using modified fat breast milk with proactive nutrient-enrichment and advancement feeding protocols; an open-label trial

2020· article· en· W3026190582 on OpenAlexafffund
Sara DiLauro, Jennifer Russell, Brian W. McCrindle, Christopher Tomlinson, Sharon Unger, Deborah L. O’Connor

Bibliographic record

VenueClinical Nutrition ESPEN · 2020
Typearticle
Languageen
FieldMedicine
TopicLymphatic Disorders and Treatments
Canadian institutionsMount Sinai HospitalCanada Research ChairsHospital for Sick ChildrenUniversity of Toronto
FundersCanadian Institutes of Health ResearchHospital for Sick ChildrenDepartment of Family and Community Medicine, University of TorontoUniversity of Toronto
KeywordsMedicineChylothoraxOpen labelBreast milkNutrientAnimal scienceRandomized controlled trialInternal medicineSurgeryBiochemistry

Abstract

fetched live from OpenAlex

BACKGROUND & AIM: Previously we showed that modified fat breast milk (MFBM) facilitated resolution of post-surgical chylothorax in cardiac infants, but their weight-for-age and length-for-age z-scores declined over the ≥6-week treatment duration. Our aim was to evaluate the growth of infants diagnosed with post-surgical chylothorax and fed according to one of two proactive feeding protocols using MFBM or a high medium triglyceride (MCT)-containing formula (standard of care). METHODS: In this open-label trial, infants who were receiving >50% of their enteral feeds as breast milk prior to chylothorax diagnosis were randomized to receive their enteral feeds according to one of two proactive MFBM protocols: Target Fortification (n = 8), where the protein concentration of defatted breast milk was measured weekly and multi- and single-nutrient modulars were added to provide 3.5 g/kg/day of protein; or Higher Initial Concentration (n = 8), where defatted breast milk was initially fortified to an energy and nutrient level higher than that of unmodified breast milk (80kcal/100 ml; 2.2 g/100 ml protein). A third nonrandomized group of infants (n = 8) received high MCT formula (68kcal/100 ml; 2.3 g/100 ml protein). The intervention lasted for a minimum of 6-weeks after chest tube removal and continued after discharge. Weekly weight, length and head circumference (HC) measurements were completed. RESULTS: At enrolment, there was no statistically significant differences in mean (±SD) weight-for-age (-1.6 ± 0.9, n = 24), length-for-age (-1.3 ± 0.8), or HC-for-age (-0.9 ± 1.0) z-scores among groups. Changes in mean weight- (-0.3 ± 0.9, n = 23), length- (0.1 ± 0.6) and HC-for-age (0.2 ± 0.6) z-scores did not differ among groups over the treatment period. There was no difference in duration or volume of chest tube drainage across groups. CONCLUSION: Use of proactive MFBM feeding protocols both resolve chylothorax and support growth in infants following cardiothoracic surgery. TRIAL REGISTRATION: ClinicalTrials.gov (NCT02577419).

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.124
GPT teacher head0.407
Teacher spread0.283 · 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 designNon-randomized trial
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
Published2020
Admission routes2
Has abstractyes

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