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Record W1647887063 · doi:10.3233/npm-2012-55411

Calculation of total fluid intake in 32 to 35 week gestational age infants in Canada: Does weight or day of life matter?

2012· article· en· W1647887063 on OpenAlexaffabout
Julia Morinis, Michelle Butt, Andrew Latchman

Bibliographic record

VenueJournal of Neonatal-Perinatal Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicBody Composition Measurement Techniques
Canadian institutionsMcMaster UniversityHospital for Sick Children
Fundersnot available
KeywordsGestational ageFluid intakeMedicineAnimal sciencePregnancyBiologyEndocrinology

Abstract

fetched live from OpenAlex

Background: The daily calculation of an infant's fluid requirements is a necessary and key component of the care of preterm infants in order to ensure physiological stability and adequate caloric and nutritional intake. However, there is little research on this practice to date. Objectives: To describe the total fuid intake (TFI) prescriptions for 32–35 completed weeks gestational age infants in a Level II nursery and neonatal intensive care unit of a single centre and to examine the impact of the different prescription practices on infant weight gain. Method: A retrospective review was conducted of TFI prescriptions on all 32–35 week gestational age infants admitted to a Level II nursery and neonatal intensive care unit. In addition, Canadian pediatricians and neonatologists were surveyed regarding their fuid management practice. Data were analyzed using descriptive statistics and a Mann-Whitney U test. Results: A total of 80.3% of infants had TFI calculated using their current weight before surpassing birthweight. Infants that had TFI calculated on their current weight after birthweight was surpassed gained a significantly greater proportion of weight by day fourteen of life than those switched before birthweight was surpassed (p < 0.001). The clinician survey indicated a wide variation in the approach to TFI prescription. Conclusion: Fluid management practice in late preterm infants is inconsistent and may lead to negative outcomes. Further investigation is warranted.

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)0.001
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 score0.242
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.279
Teacher spread0.256 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

Explore more

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