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Record W1929390211 · doi:10.1111/apa.13237

Preventing postnatal growth restriction in infants with birthweight less than 1300 g

2015· article· en· W1929390211 on OpenAlexaff
Marianne Lapointe, Keith J. Barrington, Mélissa Savaria, Annie Janvier

Bibliographic record

VenueActa Paediatrica · 2015
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineCohortEnteral administrationPediatricsParenteral nutritionBirth weightCohort studyCaloriePercentileAdverse effectLow birth weightInternal medicinePregnancy

Abstract

fetched live from OpenAlex

AIM: To examine nutritional and growth outcomes in very preterm infants with a birthweight (BW) of ≤1300 g before and after the introduction of enhanced enteral and parenteral nutrition protocols. METHODS: A comparison of two historical cohorts. RESULTS: There were 153 infants in cohort 1 and 118 in cohort 2. A total of 19% were growth restricted at birth in both cohorts. Feeds advanced more quickly in cohort 2, with decreased duration of central lines and TPN; breastmilk fortification occurred sooner. Calorie and protein intakes were increased during all of the first 14 days of life. Adverse clinical outcomes were unchanged, including NEC. The proportion of infants discharged <10th percentile of expected weight, decreased from 23% to 9%. In cohort 2, the z-score for body weight decreased by 0.39, compared to an average 1.03 in cohort 1 (p < 0.001). Head circumference and body weight were also significantly improved at discharge (p < 0.01), but length was improved to a lesser degree. CONCLUSION: Early and enhanced postnatal intravenous and enteral feeding can provide good postnatal growth among very immature infants without adverse effects. Calorie and particularly protein intake in early life could probably be further optimised.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

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

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 head0.022
GPT teacher head0.260
Teacher spread0.238 · 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

Citations21
Published2015
Admission routes1
Has abstractyes

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