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Can biomarkers predict which elderly heart failure patients will return to hospital?

NCT ID NCT05992558

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Sep 21, 2026 · Last updated Sep 21, 2026

Summary

Researchers are building risk models to predict death or rehospitalization within a year for people aged 80 and older who have heart failure with preserved ejection fraction and were hospitalized for acute heart failure. The study collects clinical and biological data during hospitalization and at 30 and 90 days after discharge. The goal is to see if new biomarkers, added to routine measures, improve predictions for this vulnerable group.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could give doctors better tools to predict which very elderly heart failure patients face the highest risk of death or rehospitalization, helping guide care decisions.
What could go wrong
The study is observational and small, so the models may not work well in other patient groups. Prediction tools do not directly improve outcomes unless doctors act on them effectively.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

175 people

The number who actually took part.

Started

Mar 2023

Finished

Feb 2026

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Very elderly patients (≥80 years old) with HFpEF consecutively admitted for acute HF at Hospital Universitario Ramón y Cajal and followed up at Unit of Heart Failure (UICA) of the Internal Medicine Dept.

Ages

80 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: 1. age ≥80 years; 2. diagnosis of HFpEF, requiring the 4 following conditions: b1) typical symptoms and/or signs of HF; b2) left ventricular ejection fraction (LVEF) ≥50%; b3) elevated levels of natriuretic peptides (NTproBNP ≥300 pg/mL or BNP ≥100 pg/mL in sinus rhythm; NT-proBNP ≥900 pg/mL or BNP ≥300 pg/mL in atrial fibrillation); and b4) at least one additional criterion: b4.1) relevant structural heart disease (left ventricular hypertrophy and/or left atrial enlargement), or 4.2) diastolic dysfunction; 3. hospitalization with a primary diagnosis of acute HF; and 4. giving informed consent. Exclusion Criteria: 1. any clinical condition, such as HF secondary to congenital heart disease and severe valve disease, severe renal (requiring dialysis) and liver disease, active malignant diseases, autoimmune diseases, other diseases resulting in \<1-year life expectancy or any other condition that, according to investigators' criteria, could significantly interfere with the study objectives; 2. any clinical or social condition that prevents clinical follow-up.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Hospital Universitario Ramón y Cajal

    Madrid, Madrid, 28034, Spain

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