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Record W4407973233 · doi:10.1001/jamacardio.2025.0016

Finerenone and Outpatient Worsening Heart Failure With Mildly Reduced or Preserved Ejection Fraction

2025· article· en· W4407973233 on OpenAlexaff
Jonathan W. Cunningham, Safia Chatur, Brian Claggett, Muthiah Vaduganathan, Akshay S. Desai, Pardeep S. Jhund, Guillermo Llamas Esperón, Carolyn S.P. Lam, Naoki Sato, Michele Senni, Sanjiv J. Shah, Adriaan A. Voors, Faı̈ez Zannad, Bertram Pitt, Shelley Zieroth, Meike Brinker, Katja Rohwedder, So Young Kim, James Lay‐Flurrie, Prabhakar Viswanathan, John J.V. McMurray, Scott Solomon

Bibliographic record

VenueJAMA Cardiology · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversity of Manitoba
FundersNational Heart, Lung, and Blood Institute
KeywordsMedicineEjection fractionDiureticHeart failureInternal medicineLoop diureticOutpatient clinicRandomized controlled trialPlaceboCardiology

Abstract

fetched live from OpenAlex

Importance: Worsening heart failure (HF) is commonly managed in the outpatient setting with adjustments in oral diuretic therapy. The effect of the nonsteroidal mineralocorticoid receptor antagonist finerenone on outpatient worsening HF events in patients with mildly reduced or preserved ejection fraction is unknown. Objective: To evaluate the effect of finerenone on outpatient worsening HF events requiring oral diuretic intensification among patients with HF with mildly reduced or preserved ejection fraction. Design, Setting, and Participants: This is a secondary analysis of the Finerenone Trial to Investigate Efficacy and Safety Superior to Placebo in Patients With Heart Failure (FINEARTS-HF), a global, multicenter randomized clinical trial. Patients had HF and an ejection fraction of 40% or greater. Data analysis was conducted from September 1 to December 10, 2024. Intervention: Participants were randomized 1:1 to finerenone or placebo. Main Outcomes and Measures: Primary outcome events (cardiovascular death, HF hospitalization, and outpatient urgent HF visit requiring intravenous diuretic therapy) were centrally adjudicated. In this prespecified analysis, outpatient oral diuretic intensification events were defined as initiations of loop or thiazide diuretic or increases in loop diuretic dosage. The risk of all-cause death following each type of worsening HF event (HF hospitalization, urgent HF visit, or outpatient oral diuretic intensification) and the effect of finerenone on outpatient oral diuretic intensification alone or as part of an extended composite outcome with primary outcome events were evaluated. Results: A total of 6001 participants (mean [SD] age, 72.0 [9.6] years; 2732 [46%] female) were enrolled. First worsening HF events included 664 HF hospitalizations, 87 urgent HF visits, and 1250 oral diuretic intensifications. Rates of death were higher following worsening HF: 27.7 (95% CI, 24.3-31.5) per 100 patient-years after HF hospitalization, 13.6 (95% CI, 8.8-21.1) per 100 patient-years after urgent HF visit, and 11.6 (95% CI, 10.2-13.1) per 100 patient-years after outpatient oral diuretic intensification compared with 4.5 (95% CI, 4.2-4.9) per 100 patient-years for patients without worsening HF. Adding outpatient oral diuretic intensification to the primary outcome increased the number of patients experiencing events from 1343 to 2238. Finerenone reduced outpatient oral diuretic intensification alone (hazard ratio [HR], 0.89 [95% CI, 0.80-0.98]; P = .02) and in an extended composite outcome that further included cardiovascular death, HF hospitalization, and urgent HF visit (HR, 0.85 [95% CI, 0.78-0.92]; P < .001). Conclusions and Relevance: Outpatient worsening HF events requiring oral diuretic intensification were common, associated with poor prognosis, and reduced by finerenone in patients with HF with mildly reduced or preserved ejection fraction. Trial Registration: ClinicalTrials.gov Identifier: NCT04435626.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.272
Teacher spread0.255 · 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".

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Citations10
Published2025
Admission routes1
Has abstractyes

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