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Frailty may be key to predicting bleeding in elderly heart patients

NCT ID NCT07158788

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 This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 26, 2026 · Last updated Jun 26, 2026

Summary

This study will enroll 850 adults over 65 who have had a heart attack (acute coronary syndrome). Researchers want to see if adding frailty measurements to standard risk scores improves the prediction of serious bleeding during the hospital stay and up to 6 months later. The goal is to better identify high-risk patients who might need closer monitoring or adjusted treatments.

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 lead to better tools for predicting bleeding risk in older heart attack patients, helping doctors make safer treatment decisions.
What could go wrong
This is an observational study, not a treatment trial. It may not change practice directly, and results might not apply to all patients.

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

About 850 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Oct 2025

An estimate. Start dates often move.

Expected to finish

Sep 2027

An estimate. End dates often move.

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

Patients presenting with acute coronary syndrome ( STEMI and NSTEMI) and are older than 65 years

Ages

65 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. \- Patients must be suffering from acute coronary syndrome ( STEMI - NSTEMI ) at the time of recruitment 2. \- Patients must be older than 65 years Exclusion Criteria: 1. \- Patients younger than 65 years 2. \- Refusal of participation 3. \- In - hospital death unrelated to bleeding

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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.

How to take part

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  1. The official record

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

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  2. A doctor treating you

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