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O0062 ACUTE LIVER FAILURE IN CHILDREN: EXPERIENCE WITH 210 PATIENTS

2004· article· en· W1979079748 on OpenAlexaff
Mirta Ciocca, Margarita Ramonet, Miriam Cuarterolo, S. I. L pez, Ana Speranza, S. G mez, Oscar Imventarza, F. Carballo lvarez

Bibliographic record

VenueJournal of Pediatric Gastroenterology and Nutrition · 2004
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineLiver transplantationInternal medicineLiver diseaseAutoimmune hepatitisUnivariate analysisHepatic encephalopathyGastroenterologyRetrospective cohort studyLogistic regressionPediatricsTransplantationDiseaseMultivariate analysisCirrhosis

Abstract

fetched live from OpenAlex

Introduction: Acute liver failure (ALF) is a devastating condition associated with poor prognosis. Aim: retrospective analysis based on the experience of two pediatric centers concerning the diagnosis, clinical course and outcome of patients with ALF including an attempt to identify prognostic indicators for liver transplantation (LT). Methods: We included children with ages from 1 to 18 years. ALF was defined as acute onset of severe liver failure, evidenced by a decrease in prothrombine time (PT) or INR > 1.5, in a patient without pre-existing liver disease. Clinical and laboratory data were collected from May 1982 to September 2002. Viral infection (HAV, HBV, HCV, EBV and CMV), , metabolic disease, autoimmune and toxic hepatitis were excluded. Patients were followed until discharge (Group 1: G1), death (Group 2: G2) or LT (Group 3: G3). Data from G1 was compared to the other two by one-way analysis of variance for continuous variables and chi square test for categorical variables. All variables statistically significant in univariate analysis to predict mortality/transplantation were included in logistic regression analysis. Results: Complete data are available for 210 patients (107 males/ 103 females). Median age: 5.33 years (1 to 17.4 years), 87% were younger than 10 years old. Final diagnosis: 128 (61%) hepatitis A, 68 (32%) indeterminate and 14 (7%) others. G1 (N=59) were alive, G2 (N=61) were dead and G3 (N=90) had a LT. Hepatic encephalopathy (HE) developed in 174 children (83%). The number of patients with advanced HE (III/IV) was significantly higher for Gs 2 and 3 than for G1 (48.5% versus 7%, p< 0.000). Mean values for peak serum total bilirubin (Bi), PT levels, INR and FV levels were the main significant differences between G1 versus 2 and 3 (Bi: 28.2 mg%, PT: 9.69%, INR: 7.52, FV: 15%, p <0.000) compared to G1 (Bi: 21.15 mg%, PT: 22.16%, INR: 3.15 and FV: 35.91%). Univariate analysis: Bi, FV and PT levels, and HE III/IV were significantly between G1 versus 2 and 3. Multivariate analysis: PT and HE III/IV were the most significant parameters. Conclusion: HAV infection is the predominant diagnosis of ALF in children. LT is applicable only in some cases. The high prevalence of HAV infection could effectively be reduced through improving sanitation and universal HAV immunization. Advanced HE and lower degree of PT were significantly associated with death or need of LT.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.212
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2004
Admission routes1
Has abstractyes

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