AI and poop samples: the future of heart attack prevention?
NCT ID NCT07471763
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study will follow 6000 people with heart disease or recent heart attacks for years. Researchers will collect blood, urine, and stool samples, plus medical data, to build a huge database. They hope artificial intelligence can find new ways to predict, diagnose, and treat heart attacks more precisely.
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, diagnosing, and managing heart attacks using artificial intelligence and biological data.
- What could go wrong
- This is an observational study, not a treatment trial. It may not produce immediate clinical changes, and results depend on data quality and long-term follow-up.
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
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About 6,000 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Apr 2026
An estimate. Start dates often move.
- Expected to finish
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Apr 2031
An estimate. End dates often move.
- Lead sponsor
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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
Adults aged 18 to 74 years will be enrolled into two cohorts: a high-risk population cohort including individuals with stable angina or unstable angina, and a confirmed acute myocardial infarction cohort including patients diagnosed according to the Fourth Universal Definition of Myocardial Infarction. All participants must be able to provide informed consent and complete baseline assessment, biospecimen collection, and longitudinal follow-up.
- Ages
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18 to 74 years
- Sex
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Anyone
- Healthy volunteers
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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 Hide 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: Age 18 to 74 years Diagnosed with stable angina, unstable angina, or acute myocardial infarction For acute myocardial infarction: symptom onset to hospital admission less than 24 hours, with patients undergoing emergency percutaneous coronary intervention prioritized Diagnosis of acute myocardial infarction according to the Fourth Universal Definition of Myocardial Infarction Willing to participate and able to provide written informed consent Able to complete baseline assessment, biospecimen collection, and long-term follow-up Exclusion Criteria: End-stage malignant tumor with expected survival of less than 1 year Severe hepatic or renal dysfunction (estimated glomerular filtration rate \<30 mL/min/1.73 m² or Child-Pugh class C) Active autoimmune disease or long-term use of immunosuppressive agents Pregnant or breastfeeding women Inability to provide informed consent or severe cognitive impairment Previous participation in another clinical study that may conflict with this project Any other condition considered by the investigators to make participation inappropriate
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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
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Fuzhou University Affiliated Provincial Hospital
Fuzhou, Fujian, 350001, China
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