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Record W2792047364 · doi:10.1093/jcag/gwy008.337

A336 PREVALENCE AND RISK FACTORS FOR TRANSIENT NEONATAL CHOLESTASIS IN A MOTHER AND CHILD TERTIARY UNIVERSITY CENTER

2018· article· en· W2792047364 on OpenAlexaffabout
Marie‐Eve Chartier, Massimiliano Paganelli, Fernando Álvarez

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicPediatric Hepatobiliary Diseases and Treatments
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsNeonatal cholestasisCholestasisMedicineBiliary atresiaPediatricsNeonatal hepatitisInternal medicineGastroenterologyLiver transplantation

Abstract

fetched live from OpenAlex

Neonatal cholestasis has an incidence of 1/2500 in term infants and can be caused by various disorders. Since the list of genetic diseases associated with neonatal cholestasis is continuously expanding, it is thought that transient neonatal cholestasis (TNC) is decreasing. TNC is characterized by an early onset cholestasis, normalisation of clinical and biochemical parameters at follow-up, and has been associated with neonatal adverse events. The primary objective was to determine the prevalence of diverse disorders causing neonatal cholestasis and particularly TNC, in our Mother and Child Hospital in Montreal. The secondary objective was to determine if there were factors that could predict the diagnosis of TNC over other diagnosis for cholestasis. This was a retrospective study that included all patients born between January 1, 2011 and December 31, 2013, who presented with cholestasis in the first 90 days of life. All data were obtained from an electronic neonatal database and through medical chart review. 113 patients were diagnosed with neonatal cholestasis during the 3-year study period. Of those, 74 (64%) had a diagnosis of TNC, 3 (3%) had an obstructive cause (biliary atresia, non-syndromic paucity of bile ducts), 9 (8%) had an infection (TORCH, pyelonephritis), 4 (4%) had a metabolic disorder (galactosemia, cystic fibrosis, Dubin-Johnson), 1 (1%) had an endocrine cause (panhypopituitarism), 2 (2%) had a tumor (liver infiltration of juvenile myelomonocytic leukemia, hemangioendothelioma), 3 (3%) had inspissated bile syndrome from severe hemolysis, 1 (1%) had alloimmune liver disease and 16 (14%) died before the cholestasis was resolved or before the etiologic evaluation was completed. The prevalence of neonatal cholestasis in our NICU was 2.4% and the prevalence of TNC was 1.5%. The majority of patient with TNC had ≥2 risk factors compared to the group with other combined causes for cholestasis; prematurity < 32 weeks in 55% vs 0% (p=<0.0001), parenteral nutrition > 7 days in 82% vs 26% (p=<0.0001), NEC in 23% vs 0% (p=0.0099) and sepsis in 47% vs 22% (p=0.0323) respectively. The mean maximum total bilirubin was lower in the TNC group compared to the group with other causes for cholestasis; 128 umol/L vs 256 umol/L respectively (p=0.008). The average duration of cholestasis was 82 days in the TNC group compared to 85 days in the group with other causes for cholestasis (p=0.8849). However in the latter group, the duration was variable according to the etiology. This study highlights that in a large mother and child hospital, the most likely etiology for cholestasis in infants under the age of 90 days, is TNC, despite advances in diagnostic techniques for metabolic and genetic disorders. This can be explained by the high-risk pregnancies being followed at this tertiary hospital. None

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)0.000
metaresearch head score (Gemma)0.001
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 score0.123
Threshold uncertainty score0.245

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.204
Teacher spread0.199 · 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".

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Citations1
Published2018
Admission routes2
Has abstractyes

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