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Record W3018915622 · doi:10.1016/j.jhep.2020.04.024

Rebleeding and mortality risk are increased by ACLF but reduced by pre-emptive TIPS

2020· article· en· W3018915622 on OpenAlexaff
Jonel Trebicka, Wen Gu, Luis Ibáñez, Virginia Hernández–Gea, Carla Pitarch, Elisabet García, Bogdan Procopeț, Álvaro Giráldez Gallego, Lucio Amitrano, Càndid Villanueva, Dominique Thabut, Gilberto Silva‐Junior, Javier Martínez, Joan Genescà, C. Bureau, Elba Llop, Wim Laleman, José María Palazón, José Castellote, Susana Rodrigues, Lise Lotte Gluud, Carlos Noronha Ferreira, Rafael Ramis Barceló, Núria Cañete, Manuel Rodríguez, Arnulf Ferlitsch, José Luis Mundi, Henning Grønbæk, Manuel Hernández‐Guerra, Romano Sassatelli, Alessandra Dell’Era, Marco Senzolo, Juan G. Abraldeṣ, Manuel Romero‐Gómez, Alexander Zipprich, Meritxell Casas, Helena Masnou, Massimo Primignani, Emmanuel Weiss, María‐Vega Catalina, Hans‐Peter Erasmus, Frank Erhard Uschner, Martin Schulz, Maximilian Joseph Brol, Michael Praktiknjo, Johannes Chang, Aleksander Krag, Frederik Nevens, José Luís Calleja, Marie Angèle Robic, Irene Conejo, Agustı́n Albillos, Marika Rudler, Edilmar Alvarado, Maria Anna Guardascione, Marcel Tanțău, Jaime Bosch, Ferràn Torres, Marco Pavesi, Juan Carlos García‐Pagán, Christian Jansen, Rafael Bañares

Bibliographic record

VenueJournal of Hepatology · 2020
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsUniversity of Alberta
FundersH2020 HealthMinistério da EducaçãoDeutsche ForschungsgemeinschaftErnst und Berta Grimmke StiftungMinisterio de Educación, Cultura y DeporteHorizon 2020Instituto de Salud Carlos IIIChina Scholarship CouncilNovartisCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundación Cellex
KeywordsMedicineEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND & AIMS: The relationship between acute-on-chronic liver failure (ACLF) and acute variceal bleeding (AVB) is poorly understood. Specifically, the prevalence and prognosis of ACLF in the context of AVB is unclear, while the role of transjugular intrahepatic portosystemic shunt (TIPS) in the management in patients with ACLF has not been described to date. METHODS: A multicenter, international, observational study was conducted in 2,138 patients from 34 centers between 2011 and 2015. ACLF was defined and graded according to the EASL-CLIF consortium definition. Placement of pre-emptive TIPS (pTIPS) was based on individual center policy. Patients were followed-up for 1 year, until death or liver transplantation. Cox regression and competing risk models (Gray's test) were used to identify independent predictors of rebleeding or mortality. RESULTS: At admission, 380/2,138 (17.8%) patients had ACLF according to EASL-CLIF criteria (grade 1: 38.7%; grade 2: 39.2%; grade 3: 22.1%). The 42-day rebleeding (19% vs. 10%; p <0.001) and mortality (47% vs. 10%; p <0.001) rates were higher in patients with ACLF and increased with ACLF grades. Of note, the presence of ACLF was independently associated with rebleeding and mortality. pTIPS placement improved survival in patients with ACLF at 42 days and 1 year. This effect was also observed in propensity score matching analysis of 66 patients with ACLF, of whom 44 received pTIPs and 22 did not. CONCLUSIONS: This large multicenter international real-life study identified ACLF at admission as an independent predictor of rebleeding and mortality in patients with AVB. Moreover, pTIPS was associated with improved survival in patients with ACLF and AVB. LAY SUMMARY: Acute variceal bleeding is a deadly complication of liver cirrhosis that results from severe portal hypertension. This study demonstrates that the presence of acute-on-chronic liver failure (ACLF) is the strongest predictor of mortality in patients with acute variceal bleeding. Importantly, patients with ACLF and acute variceal (re)bleeding benefit from pre-emptive (early) placement of a transjugular intrahepatic portosystemic shunt.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.043
Threshold uncertainty score0.327

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.274
Teacher spread0.256 · 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

Citations188
Published2020
Admission routes1
Has abstractyes

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