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Record W2293418901 · doi:10.1002/jhbp.326

Analysis of infectious complications and timing for emergency liver transplantation in autoimmune acute liver failure

2016· article· en· W2293418901 on OpenAlexfundno aff
Keiichi Fujiwara, Shin Yasui, Yutaka Yonemitsu, Makoto Arai, Tatsuo Kanda, Yoshihiro Fukuda, Masayuki Nakano, Shigeto Oda, Osamu Yokosuka

Bibliographic record

VenueJournal of Hepato-Biliary-Pancreatic Sciences · 2016
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsnot available
FundersAlberta Innovates - Health Solutions
KeywordsMedicineAutoimmune hepatitisLiver transplantationEtiologyFulminant hepatic failureFulminantInternal medicineGastroenterologyHepatitisLiver failureTransplantation

Abstract

fetched live from OpenAlex

BACKGROUND: Autoimmune hepatitis (AIH) is one of major etiologies of acute liver failure (ALF), and the survival rate without liver transplantation (LT) of patients with fulminant AIH is especially poor worldwide. We investigated the clinicopathological features of infectious complications in autoimmune ALF retrospectively and tried to determine when to continue corticosteroid (CS) treatment or abandon it for LT. METHODS: Twenty patients with autoimmune ALF, comprising five severe hepatitis, 13 fulminant hepatitis and two late onset hepatic failure, were analyzed. RESULTS: Corticosteroids were administered to 19 patients. Seventeen infectious complications were observed in 12 patients. The median (range) duration between the introduction of CS and onset of infection was 15 (10–41) days. There were no significant differences in clinicobiochemical features between patients with and without infection. Of 20 patients, eight (40%) recovered without LT, four (20%) received LT and eight (40%) died without LT. Dead or transplanted patients had more advanced liver failure on admission than recovered ones (P < 0.01). CONCLUSIONS: Two-week after the introduction of CS is a critical point for avoiding infectious complications. Therefore, we should have evaluated efficacy of CS and performed LT by then at the latest in case of failure to improve.

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)0.000
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 score0.009
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.029
GPT teacher head0.306
Teacher spread0.277 · 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

Citations17
Published2016
Admission routes1
Has abstractyes

Explore more

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