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Record W2064820328 · doi:10.1097/mpg.0b013e318145a8e5

Hyperornithinemia‐Hyperammonemia‐Homocitrullinuria Syndrome (HHH) Presenting With Acute Fulminant Hepatic Failure

2008· article· en· W2064820328 on OpenAlexaffabout
AA Mhanni, Angela W. Chan, Mary Collison, Burkhardt Seifert, D.C Lehotay, AH Sokoro, HQ Huynh, C. R. Greenberg

Bibliographic record

VenueJournal of Pediatric Gastroenterology and Nutrition · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsUniversity of SaskatchewanSaskatchewan HealthUniversity of AlbertaUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
Fundersnot available
KeywordsHyperammonemiaMedicineFulminant hepatic failureLiver transplantationFulminantInternal medicineTransplantationPediatricsCoagulopathyGastroenterologyEndocrinology

Abstract

fetched live from OpenAlex

We report on two Aboriginal patients with the hyperornithinemia-hyperammonemia-homocitrullinuria (HHH) syndrome. Both presented with acute hepatic failure with severe hypertransaminasemia and coagulopathy, prompting evaluation for emergent liver transplantation. The diagnosis of HHH syndrome was based on the presence of typical metabolic abnormalities. A protein-restricted diet and L-arginine or L-citrulline supplementation were immediately started, with rapid normalization of liver function test results and other biochemical abnormalities. Molecular analysis of the SLC25A15 gene showed that the two patients were homozygous for the common French Canadian mutation (F188Delta). The diagnosis of HHH syndrome should be considered in patients with unexplained fulminant hepatic failure. There does not appear to be a genotype-phenotype correlation for this presentation, inasmuch as the only other reported patient presenting with this picture had two different point mutations. Early identification and prompt treatment of these patients is crucial to avoid liver transplantation and can be life saving.

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 score0.113
Threshold uncertainty score0.570

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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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

Citations26
Published2008
Admission routes2
Has abstractyes

Explore more

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