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Record W4402083840 · doi:10.1016/j.jhep.2024.08.015

Predictors of hepatic flares after nucleos(t)ide analogue cessation – Results of a global cohort study (RETRACT-B study)

2024· article· en· W4402083840 on OpenAlexafffund
Edo J. Dongelmans, Grishma Hirode, Bettina E. Hansen, Chien‐Hung Chen, Tung‐Hung Su, Wai‐Kay Seto, Arno Furquim d’Almeida, Stijn Van Hees, Μargarita Papatheodoridi, Sabela Lens, Grace Lai‐Hung Wong, Sylvia M. Brakenhoff, Rong‐Nan Chien, Jordan J. Feld, Henry Lik‐Yuen Chan, Xavier Forns, George Papatheodoridis, Thomas Vanwolleghem, Man‐Fung Yuen, Yao‐Chun Hsu, Jia‐Horng Kao, Markus Cornberg, Milan J. Sonneveld, Wen‐Juei Jeng, Harry L.A. Janssen

Bibliographic record

VenueJournal of Hepatology · 2024
Typearticle
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsToronto General HospitalToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
FundersNational Taiwan University HospitalMedizinischen Hochschule HannoverCentro de Investigación Biomédica en Red de Enfermedades Hepáticas y DigestivasNational and Kapodistrian University of AthensUniversiteit AntwerpenChinese University of Hong KongChang Gung UniversityI-Shou UniversityUniversitat de BarcelonaUniversity of Hong KongNational Taiwan UniversityChang Gung Medical FoundationUniversity of Toronto
KeywordsMedicineInternal medicineEntecavirGastroenterologyHBsAgHazard ratioHepatitis BCohortProportional hazards modelHepatitis B virusImmunologyConfidence intervalVirus

Abstract

fetched live from OpenAlex

Background and Aims Flares after nucleos(t)ide analogue (NA) cessation are common and potentially harmful. Predictors of flares are required for risk stratification and to guide off-treatment follow-up. Method This multicenter cohort study included virally suppressed patients with chronic hepatitis B (CHB) who were hepatitis B e antigen negative at NA cessation. Hepatic flares were defined based on an ALT-levels of ≥5-, 10- or 20 x upper limit of normal (ULN). Multivariable Cox regression analyses were performed censoring at retreatment, HBsAg-loss and loss-to-follow-up. A sub-analysis was performed including HBV DNA levels Results Of the 1552 included patients, 350 developed a flare (ALT≥5xULN), of whom 70% within the first year. One-year cumulative incidences for ALT flares ≥5x, ≥10x, ≥20xULN were 18.6%, 10.2% and 3.4%, respectively. Severity of flares decreased over time, but severe flares still occurred after one year. Thirteen patients decompensated after a flare, of whom 3 died. Flares seemed not associated with increased rates of HBsAg loss (adjusted Hazard Ratio [aHR] 1.42, P=0.28). Multivariable-analyses showed that older age (aHR:1.02,P=0.001), male sex (aHR:1.57,P=0.003), HBsAg levels at NA withdrawal (100-1,000 IU/mL; aHR:1.99,P<0.001; >1,000 IU/mL; aHR:2.65,P<0.001) and Tenofovir (TDF) vs. Entecavir therapy (aHR:2.99,P<0.001) were predictive for flares (≥5xULN). Early HBV DNA levels >5log 10 IU/mL were associated with the highest risk of flares (aHR:2.36,P<0.001). Conclusion Flares are common after NA withdrawal, especially within the first year and can result in hepatic decompensation and death. Older age, male sex, higher HBsAg levels at end of treatment and TDF therapy were associated with a higher risk of flares. Close monitoring and retreatment should be considered if HBV DNA levels exceed >5log 10 IU/ml within the first 12 weeks. Lay summary Hepatic flares are common after NA cessation, even after 1 year. More caution is warranted in older patients, HBsAg levels >100 IU/mL, males and after TDF therapy. Furthermore, intensified follow up and retreatment is needed if HBV DNA levels exceeded 5log 10 IU/mL during the first 12 weeks. Impact and implications This is the first large global multi-centered cohort study which provides detailed data about flares after NA cessation in patients with chronic hepatitis B. These results could guide follow-up after withdrawal, helping clinicians identify high risk patients and deciding when to restart anti-viral therapy. Clinical trial number Not applicable.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.005
Threshold uncertainty score0.708

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.307
Teacher spread0.293 · 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 teacher head, 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

Citations27
Published2024
Admission routes2
Has abstractyes

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