Virtual heart twin could predict who needs a defibrillator

NCT ID NCT07527494

Not yet recruiting Knowledge-focused Sponsor: University Hospital, Bordeaux Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study will create a digital twin of the heart for 1,000 people who have had a heart attack. The goal is to see if this computer model can better predict who is at risk for sudden cardiac death compared to the current standard method. Participants will undergo a cardiac CT scan and a heart stimulation test. The researchers hope to improve decisions about who needs an implantable defibrillator.

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 a more accurate way to predict who needs a defibrillator after a heart attack, potentially saving lives and avoiding unnecessary implants.
What could go wrong: This is an early pilot study, not a treatment trial. The model may not prove accurate enough to change current practice, and results may not apply to all patients.

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

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Conditions

The condition(s) this trial relates to.

Death, Sudden, Cardiac myocardial infarction ST-elevation myocardial infarction sudden arrhythmia death syndrome sudden cardiac arrest

As listed by the trial registrant

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

MYOCARDIAL INFARCTION SUDDEN CARDIAC DEATH

Contacts and locations

Locations

CHU de Bordeaux, Hôpital Cardiologique du Haut-Lévêque

Pessac, 33604, France

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