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NCT07575672 Finerenone Heart failure with normal ejection fraction Clinical Landscape Report 2026: Design, Endpoints, Sponsor and Readout Outlook

22 July 2026
8 min read

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Turn a newly registered trial into a decision-ready clinical landscape. This report examines NCT07575672 using PatSnap Clinical Trials MCP for protocol design and endpoint evidence, with Drug & Asset MCP and Company & Deal Intelligence MCP used as the companion asset and sponsor enrichment workflow. Explore PatSnap MCP Servers to reproduce the research sequence inside an AI workflow.

MCP evidence snapshot: 22 July 2026. Trial records, recruitment status and projected dates can change after the snapshot and should be rechecked before operational decisions.

Why NCT07575672 is a hot trial to watch

Heart failure with normal ejection fraction is being segmented by mechanism, treatment setting, geography and endpoint architecture. NCT07575672 is notable because it evaluates Finerenone in a Phase 3 design sponsored by The Second Affiliated Hospital Zhejiang University. The main development question is whether the protocol can translate its rationale into a clinically interpretable and operationally credible readout.

Trial landscape snapshot

FieldIndexed detail
RegistrationNCT07575672
Official titleFinerenone in Patients Undergoing Transcatheter Aortic Valve Implantation With Heart Failure (FINE-VALUE)
Phase / statusPhase 3 / Not yet recruiting
InterventionFinerenone
SponsorThe Second Affiliated Hospital Zhejiang University
GeographyChina
Enrollment[object Object]
Primary endpointA composite of all-cause mortality or worsening of heart failure (hospitalization for HF or urgent HF visit), any of the first occurrence during the follow-up.
Endpoint time frameat least 12 months
Primary completion / readout proxy[object Object]

Protocol design and endpoint interpretation

This study is a multicenter, double-blind, randomized, placebo-controlled trial. The purpose is to evaluate whether treatment with finerenone in patients with symptomatic severe aortic stenosis undergoing TAVI, and heart failure with LVEF ≥40% is associated with a reduction in the composite endpoint of all-cause mortality or worsening of heart failure. Participants are patients with symptomatic aortic stenosis undergoing TAVI and heart failure with LVEF≥40%. Eligible patients will be randomly assigned in a 1:1 ratio to either the finerenone group or the placebo group. Patients meeting all inclusion criteria and not any exclusion criteria will be invited to participate before discharge. All enrolled patients will consecutively receive treatment, during which serum potassium and estimated glomerular filtration rate will be closely monitored. Follow-up will be conducted at 30 days, 12 months at clinic, and 3 months, 6 months, 9 months and

Allocation is Randomized, masking is Double, and the intervention model is Parallel Assignment. Planned enrollment of [object Object] participants across China shapes statistical precision, execution risk and external validity. Interpretation should account for baseline risk, prior therapy, assessment schedule, missing-data handling and clinical relevance—not only statistical significance.

  • A composite of all-cause mortality or worsening of heart failure (hospitalization for HF or urgent HF visit), any of the first occurrence during the follow-up. (at least 12 months)

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Readout outlook and evidence gap

The current protocol points to [object Object] as the best available readout proxy. Because this is an active or newly posted study, a trial-specific result citation is not included until a normalized clinical-trial-result record becomes available. That gap is itself operationally important: teams should monitor first result indexing, conference abstracts, protocol amendments and changes to the primary-completion date.

Build a living trial monitor: connect to PatSnap MCP Servers and track recruitment, endpoint revisions, projected readouts and new result records without manually reconciling separate databases.

Asset and sponsor context

Drug & Asset MCP profile: Finerenone is indexed as Small molecule drug, with target MR, mechanism MR antagonists, and global highest development status Approved.

Company & Deal Intelligence MCP profile: The Second Affiliated Hospital Zhejiang University did not return an exact normalized organization match in this snapshot. The organization workflow adds identity, location, portfolio and partnering context where available.

The sponsor profile matters because scientific rationale alone does not determine development value. Manufacturing readiness, portfolio fit, geographic reach, partnering capacity and the ability to fund confirmatory development can determine whether a positive signal becomes a competitive asset.

White space around this program

  • Sharper patient selection: prospective biomarker or phenotype definitions that identify who is most likely to benefit.
  • Clinically interpretable endpoints: outcomes connecting activity with function, symptoms, survival or treatment burden.
  • Comparator relevance: evidence against the most decision-relevant contemporary standard of care.
  • Broader external validity: evidence across additional geographies, demographic groups and real-world settings.
  • Operational differentiation: a development path that closes the readout gap without sacrificing safety or durability.

What to monitor next

Monitor recruitment, enrollment changes, protocol amendments, endpoint hierarchy, primary-completion timing, first result indexing, asset ownership and sponsor partnerships. A change in endpoint, population or ownership can alter the probability of success before a headline data release.

Bottom line

NCT07575672 provides a focused lens on Heart failure with normal ejection fraction development. Its value will be determined by whether Finerenone can convert the current Phase 3 design into evidence that is clinically meaningful, operationally credible and differentiated from competing programs.

Ready to reproduce this analysis? Explore PatSnap MCP Servers and combine Clinical Trials, Drug & Asset, and Company & Deal Intelligence as reusable building blocks for trial monitoring and SEO-ready clinical reports.

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