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Record W3161413179 · doi:10.1002/lt.26102

Standardized Feeding Protocol Improves Delivery and Acceptance of Enteral Nutrition in Children Immediately After Liver Transplantation

2021· article· en· W3161413179 on OpenAlexaff
Mar Miserachs, Penni Kean, Lori Tuira, Yasser Al Nasser, Maria De Angelis, Krista Van Roestel, Anand Ghanekar, Mark Cattral, Marialena Mouzaki, Vicky L. Ng, Haifa Mtaweh, Yaron Avitzur

Bibliographic record

VenueLiver Transplantation · 2021
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsUniversity Health NetworkSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineParenteral nutritionLiver transplantationProtocol (science)Enteral administrationTransplantationAdverse effectPediatricsIntensive care medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Delivery of adequate nutrition after liver transplantation (LT) surgery is an important goal of postoperative care. Existing guidelines recommend early enteral nutrition after abdominal surgery and in the child who is critically ill but data on nutritional interventions after LT in children are sparse. We evaluated the impact of a standardized postoperative feeding protocol on enteral nutrition delivery in children after LT. Data from 49 children (ages 0-18 years) who received a LT prior to feeding protocol implementation were compared with data for 32 children undergoing LT after protocol implementation. The 2 groups did not differ with respect to baseline demographic data. After protocol implementation, enteral nutrition was started earlier (2 versus 3 days after transplant; P = 0.005) and advanced faster when a feeding tube was used (4 versus 8 days; P = 0.03). Protocol implementation was also associated with reduced parenteral nutrition use rates (47% versus 75%; P = 0.01). No adverse events occurred after protocol implementation. Hospital length of stay and readmission rates were not different between the 2 groups. In conclusion, implementation of a postoperative nutrition protocol in children after LT led to optimized nutrient delivery and reduced variability of care.

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 score0.362
Threshold uncertainty score0.732

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.011
GPT teacher head0.275
Teacher spread0.264 · 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

Citations7
Published2021
Admission routes1
Has abstractyes

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