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Record W2921723640 · doi:10.1093/jcag/gwz006.105

A106 SEROPREVALENCE OF EPSTEIN-BARR VIRUS AND ASSOCIATION WITH DISEASE CHARACTERISTICS IN PEDIATRIC PATIENTS WITH NEW ONSET IBD

2019· article· en· W2921723640 on OpenAlexaff
G A Kornitzer, M Rosenstein, Véronique Groleau, Fabien Touzot, D. V. Godin, Christian Renaud, Prévost Jantchou, Philippe Ovetchkine, Colette Deslandres

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseSeroprevalenceInternal medicineUlcerative colitisDiseaseIncidence (geometry)Crohn's diseaseRetrospective cohort studyImmunologyPopulationGastroenterologySerologyAntibody

Abstract

fetched live from OpenAlex

While the mechanism of Inflammatory Bowel Disease is not yet fully understood, we know that these diseases are auto-inflammatory conditions. As such, we treat them with immune-modulating agents. It has been shown in populations of IBD patients that there is an increased risk of complications such as lymphoproliferative disease, whether due to inherent immune dysfunction, long term effects of treatments or other factors, such as Epstein-Barr viral infection. The aim of our study is to determine EBV seroprevalence in our patient population at diagnosis, to assess impact on disease presentation, and to identify patients at risk for potential complications related to therapies used. Retrospective chart review was done for all patients followed by the Gastroenterology department at CHU Sainte-Justine over a two year period with new onset IBD between January 2016 and December 2017. A total of 216 patients were identified. 10 patients were excluded: 4 with no confirmed IBD, 1 diagnosis before 2016, 5 incomplete charts at diagnosis. Of 206 patients included, 120 patients had EBV serologies available around diagnosis, with 53 patients (44.2%) IgG seropositive (VCA and/or EBNA). 2 patients were IgM seropositive, suggesting active infection. When stratified by age, prevalence of seropositivity was, for 0 to <10 years 36% (total = 25), 10 to <17 years 46% (total = 87), and 17 + years 50% (total = 8). When comparing disease characteristics between groups, there was similar incidence of IBD classification: in seronegative patients 61.2 % Crohn’s disease (CD), 38.8% Ulcerative Colitis (UC) and IBD unclassified (IBDU), and in seropotivie 69.8 % CD and 30.2% UC and IBDU. Similar distributions were found of disease phenotype according to the Paris classification, 73.1% B1 (nonstricturing nonpenetrating) in seronegative patients compared to 73.6% B1 in the seropositive group. In addition, distribution of biochemical markers of disease severity at diagnosis (hemoglobin, CRP, SR and ALT) and disease activity scores were similar in both groups. The seroprevalence of EBV at diagnosis of IBD resembles that of the general population, where risk of previous exposure increases with age. While we were unable to show a significant difference in disease presentation at diagnosis within our population, these patients remain potentially at risk for reactivation and lymphoproliferative complications of EBV with relation to immune-modulating therapies. Our future studies will be looking at EBV reactivation, changes in viral load and impact on disease progression in our patients undergoing treatment for IBD. Larger cohorts are needed to identify potential relationship between EBV and immune dysfunction-related IBD. 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)0.002
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.003
GPT teacher head0.170
Teacher spread0.167 · 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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Citations0
Published2019
Admission routes1
Has abstractyes

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