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Record W2792951989 · doi:10.1093/jcag/gwy009.341

A341 ANALYSIS OF SERUM HEPATITIS B VIRUS RNA LEVELS IN A MULTIETHNIC COHORT OF PREGNANT CHRONIC HEPATITIS B CARRIERS

2018· article· en· W2792951989 on OpenAlexaff
Nishi H. Patel, Shivali S. Joshi, Keith C.K. Lau, Eliana Castillo, Carla S. Coffin

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHepatitis B virusVirologyMedicineGenotypeHepatitis BHepatitis B immune globulinImmunologyHBsAgVirusBiologyGene

Abstract

fetched live from OpenAlex

Mother to child transmission (MTCT) of HBV is one of the most common routes of transmission worldwide. All infants born to HBV+ mothers should receive complete immunoprophylaxis with HBV immune globulin (HBIG) and vaccine. In some mothers with high HBV DNA levels (>2x 105 IU/mL), antiviral therapy is recommended to further reduce MTCT risk. We had previously documented HBV immune (cytokine) and alanine aminotransferase (ALT) flares in pregnancy; as well as, HBV DNA correlation with quantitative (q) HBV surface antigen levels1,2,3,4. There are no prior studies quantitavely assessing other HBV replication markers (i.e., HBV RNA and pre-genomic RNA levels) in pregnancy. To analyze HBV RNA levels in association with HBV DNA, qHBsAg, genotype and ALT levels in pregnant and/or post-partum Chronic Hepatitis B (CHB) carriers. In total, sera and plasma from 38 CHB pregnant and/or post-partum women were tested for HBV DNA, including 34/38 for qHBsAg levels by standard clinical assays (Abbott Architect). Serum HBV RNA levels was assessed by in-house qPCR using HBV X gene specific primers (based on a plasmid dilution standard curve). The HBV genotype was determined in (31/38, 82%) by commercial line probe assay (LiPa) or in-house nested PCR using HBV S gene specific primers and Sanger sequencing, according to previously published protocols. Data was analyzed using indepdendent and paired t-test where p<0.05 was considered significant. In 38 pregnant CHB carriers (median age 32 y, 53% Asian, 32% African, 15% other), were 79% (30/38) HBeAg negative, and 21% (8/38) on antiviral therapy with Tenofovir Disoproxil Fumarate. In 31/38 patients with HBV genotype results, showed 13% A, 36%B, 19%C, 19%D and13%E. The median ALT, HBV DNA and qHBsAg levels were 19.5 U/L; 2.85 log10IU/mL and 3.3 log10 IU/mL, respectively. Analysis of serum RNA levels showed undetectable HBV RNA in 21% (8/38), detectable but not quantifiable in 32% (12/38), and quantifiable levels in 47% (18/38) tested. In 6 matched pregnant vs. post-partum samples, the serum HBV RNA decreased from a median of 3.47 to 3.01 log10 IU/mL. There was no significant association between HBV RNA levels and HBV DNA levels, qHBsAg, genotype or ALT levels tested. In this multiethnic cohort of CHB carriers in pregnancy, serum HBV RNA levels are not associated with HBV DNA, qHBsAg, genotype or ALT levels. Further studies involving assessment of other HBV virological and serological markers (i.e., HBV pre-genomic RNA, quantitative HBV core antigen) may help increase understanding of HBV natural history in pregnancy. 1. Joshi et al; AJRI; 2017. 2. Kochaksaraei et al; JVH; 2016. 3. Kochaksaraei et al; Liver Int; 2016. 4. Virine et al; PLos One; 2015. 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.261
Teacher spread0.248 · 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
Published2018
Admission routes1
Has abstractyes

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