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Record W2793093666 · doi:10.1093/jcag/gwy009.342

A342 POST-TREATMENT LIVER STIFFNESS MEASUREMENTS PREDICT THE DEVELOPMENT OF LIVER-RELATED COMPLICATIONS IN PATIENTS WITH HCV CIRRHOSIS WHO ACHIEVE SVR POST-DAA THERAPY

2018· article· en· W2793093666 on OpenAlexaff
Frederic Nguyen, Chrissi Galanakis, Curtis Cooper, Cynthia Tsien

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineTransient elastographyInternal medicineCirrhosisGastroenterologyHepatocellular carcinomaHepatic encephalopathyEsophageal varicesAscitesHepatitis CHepatitis C virusPortal hypertensionLiver fibrosisVirusImmunology

Abstract

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Chronic hepatitis C virus (HCV) infection may lead to cirrhosis and liver-related complications (LRC) such as hepatocellular carcinoma (HCC), ascites, hepatic encephalopathy (HE) and esophageal varices. Transient elastography (TE) is a non-invasive measurement of liver fibrosis in HCV, and may predict LRC. HCV therapy with sustained virologic response (SVR) appears to decrease liver stiffness (LS) however, whether this is also associated with fewer LRC is unclear. To evaluate whether a reduction in LS post-HCV treatment with SVR is associated with a lower incidence of LRC in cirrhotic patients within 24 months of therapy. We included all cirrhotic patients (LS >12.5 kPa) treated with direct acting antivirals (DAAs) between May 1, 2013 and June 1, 2016 with SVR and pre- and post-treatment TE. We excluded patients with new/worsening LRC before post-treatment TE. Those with baseline LRC were included, and evaluated for worsening LRC, as defined by progression of post-treatment grading of the LRC compared to baseline. The absence of new/worsening LRC was recorded as ‘non-event’. ROC curves and Kaplan-Meir analysis were used. Person-time was calculated from the post-treatment TE date to the last clinic visit up to 24 months post-treatment. Of 57 patients, we excluded 4 patients with new LRC prior to post-treatment TE. TE was performed a median 32 weeks after end of treatment (IQR 28.5 weeks). 40/53 (75.5%) patients had reduction in LS, with a mean decrease of 10.7 kPa (SD 10.4). There were no differences in baseline characteristics of patients with/without decreased LS. Post-treatment, 4 events occurred during follow-up: 1 new varices, 1 new HCC, and 2 progression known varices. The incidence rate for patients with increased LS was 0.47/100 person-weeks, vs. 0.19/100 person-weeks for patients with decreased LS (RR 2.5, p=0.40, 95% CI: 0.26–24.0), with no significant difference in mean time to event (74 weeks vs. 79 weeks, respectively, p=0.55). All events occurred in individuals with LS >20.75 kPa, while no events occurred in individuals with LS score <20.75 kPa (4/20 vs. 0/33, p=0.02). This LS cutoff also had the best AUC (0.786) with a sensitivity of 100% and specificity of 67%. Post-treatment, 20/53 (37.7%) patients still had a LS above 20.75 kPa. In our cohort of patients with early cirrhosis (Child-Pugh class A), successful antiviral therapy led to a reduction in LS in most patients. Prior studies have identified a LS cutoff of 20 kPa as associated with clinically significant portal hypertension, and this was confirmed in our post-treatment cohort. Many (37.7%) patients remained above this cut-off and require LRC monitoring post-SVR. The predictive value of long-term, serial LS measurements requires evaluation. 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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.227
Teacher spread0.211 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Canadian Association of Gastroenterology→Same topicLiver Disease Diagnosis and Treatment→French-language works237,207→