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Abstract 4365699: Liver fibrosis as assessed by the fibrosis-5 (FIB-5) index in patients with heart failure: Insights from the PARADIGM-HF and PARAGON-HF trials

2025· article· en· W4415791624 on OpenAlexaff
Mingming Yang, Arzu Kalaycı, Inder S. Anand, Akshay S. Desai, Aldo P. Maggioni, Felipe A. Martínez, Marc A. Pfeffer, Jean L. Rouleau, Karl Swedberg, Muthiah Vaduganathan, Dirk van Veldhuisen, Faı̈ez Zannad, Michael R. Zile, Milton Packer, Adel R. Rizkala, Pardeep S. Jhund, Scott D. Solomon, John J.V. McMurray

Bibliographic record

VenueCirculation · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsQuartileHeart failureHazard ratioEjection fractionClinical endpointFibrosisConfidence intervalProportional hazards model

Abstract

fetched live from OpenAlex

Background: By causing systemic venous congestion and hypoperfusion, heart failure can lead to liver dysfunction and these processes along with neurohumoral activation, inflammation, and metabolic dysfunction may lead to liver fibrosis. The fibrosis-5 (FIB-5) index, which incorporates serum albumin, alkaline phosphatase, aspartate transaminase, alanine aminotransferase and platelet count, is a marker of possible liver fibrosis. We evaluated the prevalence of an abnormal FIB-5 index in heart failure with reduced ejection fraction (HFrEF), compared with (HFpEF), and the association between FIB-5 index and outcomes in these two types of HF. Research Questions: What is the prognostic value of the FIB-5 index in patients with HF across the range of left ventricular ejection fraction (LVEF)? Methods: The PARADIGM-HF and PARAGON-HF trials were randomized, double-blind, active treatment-controlled trials which included 8442 HFrEF patients and 4822 HFpEF patients, respectively. The primary endpoint examined in this analysis was the composite of HF hospitalization or cardiovascular (CV) death. We compared outcomes according to quartiles of FIB-5 index. A low FIB-5 index is associated with hepatic fibrosis. Results: Overall, 44% of HFrEF patients and 42% of HFpEF patients had possible liver fibrosis as identified by a FIB-5 index <0 (which is reported to have a high specificity, positive predictive value, and negative predictive value for liver fibrosis in other diseases). Lower FIB-5 index was associated with adverse outcomes in both HF phenotypes (Figures). Comparing Quartile 1 to Quartile 4 of the FIB-5 index, gave a hazard ratio (HR) for the primary endpoint of 1.87 (95% CI 1.64-2.13) in PARADIGM-HF and 1.55 (95% CI 1.32-1.83) in PARAGON-HF. The corresponding HRs for CV death were 1.90 (95% CI 1.61–2.23) in PARADIGM-HF and 1.70 (95% CI 1.23-2.3) in PARAGON-HF. The benefit of sacubitril/valsartan was not modified by FIB-5 index. Conclusion: The FIB-5 index suggests liver fibrosis is common in both HFrEF and HFpEF and is prognostically important, regardless of ejection fraction phenotype.

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)0.008
metaresearch head score (Gemma)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.263
Teacher spread0.247 · 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
Published2025
Admission routes1
Has abstractyes

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