Optimize Risk Prediction After Myocardial Infarction: The ORACLE Study (ORACLE)

Optimize Risk Prediction After Myocardial Infarction Through Artificial Intelligence and Multidimensional Evaluation: The ORACLE Study

Background. Myocardial infarction (MI) is a leading cause of death worldwide. After MI, longterm antithrombotic therapy is crucial to prevent recurrent events, but increases bleeding, that also impacts morbidity and mortality. Giving these competing risks prediction tools to forecast ischemic and bleeding are of paramount importance to inform clinical decisions, but their current precision is limited. Improve events prediction, by discovering novel and innovative markers of risk would have a tremendous impact on therapeutic decisions and patients' outcome.

Objectives. Discover novel "computational biomarkers" of risk and improve current standards of risk prediction by using innovative multidimensional information from wearable devices, biomarkers, behavioural patterns and non-invasive imaging, integrated through artificial intelligence computation.

Outcomes. The primary outcomes of interest for this analysis are bleeding and ischemic events occurring in or outside the hospital at longest available follow-up. Bleeding will be categorised according to the Bleeding Academic Research Consortium (BARC) definition. The occurrence of major adverse cardiovascular events (MACE), a composite of cardiovascular death, MI, definite stent thrombosis and stroke will be collected according to the Academic Research Consortium-2 classification.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

750

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Málaga, Spain, 29010
        • Recruiting
        • Hospital Universitario Virgen de la Victoria
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Patients with Myocardial Infarction (i.e. hospitalization for ST- segment elevated, non-ST-segment elevated myocardial infarction or unstable angina) undergoing invasive management and at high risk of clinical events (i.e. presence of at least two of these high risk criteria: age >65 years, diabetes mellitus, multivessel disease, peripheral artery disease, chronic kidney disease, prior stroke anytime or prior TIA in the last 6 months, prior MI, complex PCI, Prior PCI/CABG, heart failure, BMI>27, anticipated long term use of an oral anticoagulant, haemoglobin less than 11g/dl, spontaneous bleeding requiring hospitalization or transfusion in the past 12 months, bleeding diathesis* active malignancy other than skin, previous spontaneous intracranial hemorrhage).

Description

Inclusion Criteria:

  • Patients with Myocardial Infarction (i.e. hospitalization for ST- segment elevated, non-ST-segment elevated myocardial infarction or unstable angina) undergoing invasive management and at high risk of clinical events (i.e. presence of at least two of these high risk criteria: age >65 years, diabetes mellitus, multivessel disease, peripheral artery disease, chronic kidney disease, prior stroke anytime or prior TIA in the last 6 months, prior MI, complex PCI, Prior PCI/CABG, heart failure, BMI>27, anticipated long term use of an oral anticoagulant, haemoglobin less than 11g/dl, spontaneous bleeding requiring hospitalization or transfusion in the past 12 months, bleeding diathesis* active malignancy other than skin, previous spontaneous intracranial hemorrhage).

    • Systemic conditions associated with an increased bleeding risk (e.g. haematological disorders, including a history of or current thrombocytopaenia defined as a platelet count <100,000/mm3 (<100 x 10^9/L), or any known coagulation disorder associated with increased bleeding risk.

Exclusion Criteria:

  • Age < 18 years
  • Low life expectancy (<1 year)
  • Pregnant or breastfeeding women
  • Evidence at coronary angiography of non-significant coronary artery disease (<30% in the left main stem or <50% in the other coronary segments)
  • Subject belongs to a vulnerable population (per investigator's judgment), subject unable to read or write, or other conditions that unable the patient to fully comprehend and comply to the study procedures as per investigator's judgement

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Myocardial infarction (MI)
Patients with Myocardial Infarction (i.e. hospitalization for ST- segment elevated, non-ST-segment elevated myocardial infarction or unstable angina) undergoing invasive management and at high risk of clinical events (i.e. presence of at least two of these high risk criteria: age >65 years, diabetes mellitus, multivessel disease, peripheral artery disease, chronic kidney disease, prior stroke anytime or prior TIA in the last 6 months, prior MI, complex PCI, Prior PCI/CABG, heart failure, BMI>27, anticipated long term use of an oral anticoagulant, haemoglobin less than 11g/dl, spontaneous bleeding requiring hospitalization or transfusion in the past 12 months, bleeding diathesis* active malignancy other than skin, previous spontaneous intracranial hemorrhage)
The ORACLE program is a prospective, deep phenotyping, study based on multimodal information and artificial intelligence computation. We will prospectively collect in-hospital and out-of-hospital data of a large cohort of patients presenting with MI, including data from wearable devices recording continuous ECG, interstitial-fluids, non-invasive blood pressure and mobility, behavioural patterns from a dedicated mobile application, blood and urine biomarkers and non-invasive imaging. We will leverage on AI, using statistical learning methods and neural networks, to explore patterns and higher order interactions within the data to provide novel "computational biomarkers" of ischemic and bleeding risk.
Other Names:
  • Data collection from biological samples, wearable devices and tests

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Frequency and severity of bleeding and ischemic events
Time Frame: 8 months inclusion and 12 months follow-up after end of study
The primary outcomes of interest for this analysis are bleeding and ischemic events occurring in- or outside the hospital at longest available follow-up. Bleeding will be categorised according to the Bleeding Academic Research Consortium (BARC) definition. The occurrence of major adverse cardiovascular events (MACE), a composite of cardiovascular death, MI, definite stent thrombosis and stroke will be collected according to the Academic Research Consortium-2 classification.
8 months inclusion and 12 months follow-up after end of study

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of death, stroke, recurrent MI, stent thrombosis, heart failure, hospitalization
Time Frame: 8 months inclusion and 12 months follow-up after end of study
Death will be defined as death from cardiovascular causes or cerebrovascular causes and any death without another known cause. Stroke will be defined as an acute new neurological deficit ending in death or lasting >24 hours not due to another readily identifiable cause such as trauma. Recurrent MI is defined according to the fourth universal definition of MI. Stent thrombosis will be classified as definite, probable or possible according to the Academic Research Consortium (ARC) definition. New-onset heart failure requiring re-hospitalisation or unplanned medical contact for heart failure symptoms will be evaluated. Recurrent hospitalization for acute coronary syndrome, unstable angina or clinically-indicated urgent revascularization will also be evaluated.
8 months inclusion and 12 months follow-up after end of study

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Quality life and adherence to treatment
Time Frame: 8 months inclusion and 12 months follow-up after end of study

Patients' quality of life and adherence to treatment will be evaluated with:

  • Health mobility and mental scales (i.e. EQ-5D-5L and SF-12v2)
  • Anginal status according to the Seattle Angina questionnaire (SAQ)
  • Functional status according to the Kansas City Cardiomiopathy questionnaire (KCCQ)
  • Modified Borg Dyspnoea Scale
8 months inclusion and 12 months follow-up after end of study

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Collaborators

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

June 1, 2025

Primary Completion (Estimated)

February 1, 2028

Study Completion (Estimated)

February 1, 2028

Study Registration Dates

First Submitted

May 12, 2025

First Submitted That Met QC Criteria

May 20, 2025

First Posted (Actual)

May 28, 2025

Study Record Updates

Last Update Posted (Actual)

June 10, 2025

Last Update Submitted That Met QC Criteria

June 4, 2025

Last Verified

June 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • ORACLE
  • ERC-2023-STG-101117469 (Other Identifier: European Research Council (ERC))

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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