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Dietary management of urea cycle disorders: UK practice

2012· article· en· W1911612343 on OpenAlexfundno aff
Sarah Adam, Helena Champion, Anne Daly, S. Dawson, Marjorie Dixon, Carolyn Dunlop, J. Eardley, Sharon Evans, Christine S. Ferguson, C.M. Jankowski, S F Lowry, Anita MacDonald, Charlé Maritz, A. Miccichè, Louise Robertson, J. Stafford, Allyson Terry, Ruth Thom, K. van Wyk, Diana Webster, F. White, J. Wildgoose

Bibliographic record

VenueJournal of Human Nutrition and Dietetics · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsnot available
FundersHospital for Sick ChildrenVitafloSwedish Orphan BiovitrumCentral Manchester University Hospitals NHS Foundation Trust
KeywordsMedicineUrea cycleInternal medicineEndocrinologyPediatricsAnimal scienceBiochemistryBiology

Abstract

fetched live from OpenAlex

Adam S., Champion H., Daly A., Dawson S., Dixon M., Dunlop C., Eardley J., Evans S., Ferguson C., Jankowski C., Lowry S., MacDonald A., Maritz C., Micciche A., Robertson L., Stafford J., Terry A., Thom R., van Wyk K., Webster D., White F.J. & Wildgoose J. on behalf of the British Inherited Metabolic Diseases Group (BIMDG) Dietitian's Group. (2012) Dietary management of urea cycle disorders: UK practice. J Hum Nutr Diet. 25 , 398–404 Abstract Background: There is no published data describing UK dietary management of urea cycle disorders (UCD). The present study describes dietary practices in UK inherited metabolic disorder (IMD) centres. Methods: Cross‐sectional data from 16 IMD centres were collected by a questionnaire describing the management of UCD patients on prescribed protein‐restricted diets. Results: One hundred and seventy‐five patients [ N ‐acetylglutamate synthase deficiency, n = 3; carbamoyl phosphate synthase deficiency (CPS), n = 8; ornithine transcarbamoylase deficiency (OTC), n = 75; citrullinaemia, n = 41; argininosuccinic aciduria (ASA), n = 36; arginase deficiency, n = 12] were reported; 70% ( n = 123) aged 0–16 years; 30% ( n = 52) >16 years. Prescribed median protein intake decreased with age (0–6 months: 2 g kg −1 day −1 ; 7–12 months: 1.6 g kg −1 day −1 ; 1–10 years: 1.3 g kg −1 day −1 ; 11–16 years: 0.9 g kg −1 day −1 and >16 years: 0.8 g kg −1 day −1 ) with little variation between disorders. Adult protein prescription ranged 0.4–1.2 g kg −1 day −1 (40–60 g day −1 ). In the previous 2 years, 30% ( n = 53) were given essential amino acid supplements (EAAs) (CPS, n = 2; OTC, n = 20; citrullinaemia, n = 15; ASA, n = 7; arginase deficiency, n = 9). EAAs were prescribed for low plasma quantitative essential amino acids ( n = 13 centres); inadequate natural protein intake ( n = 11) and poor metabolic control ( n = 9). From diagnosis, one centre prescribed EAAs for all patients and one centre for severe defects only. Only 3% ( n = 6) were given branch chain amino acid supplements. Enteral feeding tubes were used by 25% ( n = 44) for feeds and 3% ( n = 6) for medications. Oral energy supplements were prescribed in 17% ( n = 30) of cases. Conclusions: In the UK, protein restriction based on World Health Organization ‘safe intakes of protein’, is the principle dietary treatment for UCD. EAA supplements are prescribed mainly on clinical need. Multicentre collaborative research is required to define optimal dietary treatments.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score0.325

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 head0.014
GPT teacher head0.298
Teacher spread0.284 · 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 designNot applicable
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

Citations27
Published2012
Admission routes1
Has abstractyes

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