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Abstract 13829: Index Event, Clinical Outcomes and Response to Vericiguat in the Victoria Trial

2020· article· en· W3099384827 on OpenAlexaff
Carolyn S.P. Lam, Karen Sliwa, Anna Giczewska, Kevin J. Anstrom, Frank Edelmann, Jens Refsgaard, E A Bocchi, Justin A. Ezekowitz, Adrian F. Hernandez, Christopher M. O’Connor, Lothar Roessig, Mahesh J. Patel, Burkert Pieske, Paul W. Armstrong

Bibliographic record

VenueCirculation · 2020
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineInternal medicineHeart failureDiureticProportional hazards modelConfidence intervalCardiology

Abstract

fetched live from OpenAlex

Introduction: The VICTORIA (Vericiguat Global Study in Subjects with HF with Reduced EF) trial included 5050 patients in 3 discrete subgroups reflecting their index worsening heart failure (HF) event: <3 months after HF hospitalization (HFH) (n=3366), 3-6 months after HFH (n=871), and those requiring IV diuretic therapy without HFH within the prior 3 months (n=813). We evaluated clinical characteristics, outcomes and treatment response to vericiguat across these index event subgroups in VICTORIA. Methods: We compared primary composite (CV death and HFH) and secondary (all-cause death and HFH) outcomes across index event subgroups, both before and after adjusting for clinical covariates (HF duration, NYHA class, medical history, heart rate, HF medications and laboratory values including baseline NT-proBNP), as well as their response to vericiguat. Results: Baseline characteristics were balanced between treatment arms within each subgroup. Over a median follow up of 10.8 months, the absolute primary event rates were high in all subgroups (20.5 - 42.5 per 100 patient-years, Figure). Compared to the IV diuretic group highest relative risk was in HFH <3 months (HR 1.69, 95% CI 1.46-1.95), followed by HFH 3-6 months (HR 1.26, 95% CI 1.06-1.50). After multivariable adjustment, this difference remained significant only in HFH <3 months (adjusted HR [vs IV diuretic] 1.47, 95% CI 1.26-1.72). Vericiguat was associated with reduced risk of the primary outcome overall (HR 0.90, 95% CI 0.82-0.98) and in all 3 subgroups, with no evidence of treatment heterogeneity. Similar results were evident for the secondary composite outcome. Conclusions: Among patients with worsening chronic HF, those within a 3 month window of HFH had almost a 1.5 times risk of CV death or HFH compared to those requiring IV diuretics but not HFH , irrespective of age or clinical risk factors. Vericiguat added to standard therapy was associated with similar benefit across the spectrum of risk in worsening HF.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.074
GPT teacher head0.382
Teacher spread0.308 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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