Cardio Vascular DiseaseQCRC-AINCT07515807
Qatar Cardiometabolic Retrospective Cohort-Analysis Using Artificial Intelligence
An observational study of Cardio Vascular Disease and Acute Coronary Syndromes (ACS), run by Weill Cornell Medical College in Qatar at 1 site in Qatar.
Trial summary
Cardiovascular disease is the leading cause of death worldwide, and individuals with diabetes or other cardiometabolic conditions are at increased risk of adverse cardiovascular outcomes. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Cardio Vascular Disease, Acute Coronary Syndromes (ACS), Type 2 Diabetes
- How many people
- 10,000 participants
- Where
- 1 siteQatar
- Study dates
- 16 Jul 2026to 16 Jul 2030
- How long will I take part?
- 2 Years
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Participants admitted at Hamad Medical Corporation for Acute Coronary Syndrome (ACS) or Acute Heart Failure (AHF).
Who may be able to join
- Age ≥ 18
- Qatari and Arab participants
- Participants admitted for Acute Coronary Syndrome (ACS) or Acute Heart Failure (AHF)
- Metabolic disease: Diabetes (HbA1C ≥ 6.5% or any HbA1C if a patient is on an antidiabetic agent) or pre-diabetes: 5.7% ≤ HbA1c ≤ 6.4%
Who cannot join
- Non-Qatari or non-Arab participants
- Non-diabetic: HbA1C < 5.7%
- This chart review involves no direct interaction with individuals. Prisoners are not a focus of this study, and incarceration status is not identifiable in the records reviewed.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Qatar1 site
Hamad Medical Corporation
Doha
Nidal Asaad MD, +974 44390220, nasaad@hamad.qa
About this study
Cardiovascular disease is the leading cause of death worldwide, and individuals with diabetes or other cardiometabolic conditions are at increased risk of adverse cardiovascular outcomes. Although advances in prevention and treatment have reduced cardiovascular events globally, cardiometabolic disease continues to represent a significant health burden, particularly in regions with high diabetes prevalence. In Qatar and other Gulf Cooperation Council countries, the prevalence of diabetes and obesity is increasing, contributing to a high proportion of participants presenting with acute coronary syndrome who have type 2 diabetes or prediabetes. This observational study will use electronic medical record data from patients hospitalized at the Heart Hospital with acute coronary syndrome and a concomitant diagnosis of diabetes or prediabetes. The study will assess trends in cardiovascular risk factors and cardiovascular events, including readmission and mortality. An artificial intelligence component will be used to develop and validate machine learning based risk prediction models to forecast adverse cardiovascular outcomes in participants with cardiometabolic disease. These models will integrate clinical, biochemical, imaging, and other non-invasive data routinely collected during participants care to identify predictors of cardiovascular events.
Read the detailed description
This study combines retrospective and prospective designs.
Retrospective:
We use past electronic medical records to identify participants and collect baseline information from their initial visit (using their code or health card number).
Prospective:
From that starting point, we follow the same participants forward in time, updating data every two years and recording new outcomes (mortality, cardiovascular events, rehospitalizations, treatment-related outcomes) at planned checkpoints (approximately 6 months, 1 year, and 2 years).
New eligible participants identified in later data extractions are added and followed in the same manner. Because we only observe and record participants existing records and outcomes without assigning interventions, the study is observational.
- Conditions
- Cardio Vascular Disease, Acute Coronary Syndromes (ACS), Type 2 Diabetes, Pre Diabetes, Artifical Intelligence
- Medical subject headings
- Acute Coronary Syndrome, Diabetes Mellitus, Type 2, Glucose Intolerance
What is being measured
The primary outcome is the main question the study is designed to answer.
Incidence of 3-point Major Adverse Cardiovascular Events (MACE) in Acute Coronary Syndrome Patients
Composite endpoint defined as the occurrence of cardiovascular death, non-fatal myocardial infarction, or non-fatal stroke. Events will be identified using electronic medical records, hospital admission data, and follow-up assessments during the study period. These outcomes will serve as endpoints for the development and validation of predictive machine learning models.
Measured: 5 years
Incidences of 2-point Major Adverse Cardiovascular Events (MACE) in Heart Failure Patients
Composite endpoint defined as cardiovascular death or hospitalization for heart failure. Events will be ascertained through hospital records, clinical documentation, and follow-up data collection. These outcomes will be used as endpoints for predictive model development and validation.
Measured: 5 years
Secondary outcomes (9)
Major Adverse Cardiovascular Events
MACE - Major Adverse Cardiovascular Events
Measured: 5 years
Unstable angina requiring hospitalization
Measured: 5 years
Arrhythmic events
Measured: 5 years
Coronary revascularization
Measured: 5 years
Post-Percutaneous Coronary Intervention (PCI) or Coronary Artery Bypass Grafting (CABG) complications (stent/graft thrombosis or repeat revascularization)
Measured: 5 years
Development or progression of valvular heart disease (aortic or mitral stenosis/regurgitation)
Measured: 5 years
New-onset diabetes mellitus
Measured: 5 years
Change in glycated Hemoglobin A1c (HbA1c)
Measured: 5 years
Newly diagnosed medical or surgical conditions not present at baseline
Measured: 5 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted7 Apr 2026
- Study start16 Jul 2026 (estimated)
- Primary completion16 Jul 2030 (estimated)
- Study completion16 Jul 2030 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Cardio Vascular DiseaseStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Other
- Enrolment
- 10,000 participants (estimated)
- Target duration
- 2 Years
Sponsor and investigators
- Lead sponsor
- Weill Cornell Medical College in Qatar
- Sponsor type
- University, hospital or other
- Collaborators
- Hamad Medical Corporation
- Responsible party
- Sponsor
- Investigators
- Charbel Abi Khalil, Principal investigator, Weill Cornell Medicine-Qatar
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07515807
- Sponsor's protocol ID
- 25-00019
- Acronym
- QCRC-AI
- Status last verified
- Mar 2026
- First submitted
- 31 Mar 2026
- Last updated
- 21 Apr 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 21 Apr 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Qatar Cardiometabolic Retrospective Cohort-Analysis Using Artificial Intelligence
- ClinicalTrials.gov ID
- NCT07515807
- Acronym / sponsor ID
- QCRC-AI / 25-00019
- Conditions
- Cardio Vascular Disease, Acute Coronary Syndromes (ACS), Type 2 Diabetes, Pre Diabetes, Artifical Intelligence
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 10,000 participants (estimated)
- Lead sponsor
- Weill Cornell Medical College in QatarUniversity, hospital or other
- Collaborators
- Hamad Medical Corporation
- Study start
- 16 Jul 2026 (estimated)
- Primary completion
- 16 Jul 2030 (estimated)
- Study completion
- 16 Jul 2030 (estimated)
- First posted
- 7 Apr 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Cardiovascular disease is the leading cause of death worldwide, and individuals with diabetes or other cardiometabolic conditions are at increased risk of adverse cardiovascular outcomes. Although advances in prevention and treatment have reduced cardiovascular events globally, cardiometabolic disease continues to represent a significant health burden, particularly in regions with high diabetes prevalence. In Qatar and other Gulf Cooperation Council countries, the prevalence of diabetes and obesity is increasing, contributing to a high proportion of participants presenting with acute coronary syndrome who have type 2 diabetes or prediabetes. This observational study will use electronic medical record data from patients hospitalized at the Heart Hospital with acute coronary syndrome and a concomitant diagnosis of diabetes or prediabetes. The study will assess trends in cardiovascular risk factors and cardiovascular events, including readmission and mortality. An artificial intelligence component will be used to develop and validate machine learning based risk prediction models to forecast adverse cardiovascular outcomes in participants with cardiometabolic disease. These models will integrate clinical, biochemical, imaging, and other non-invasive data routinely collected during participants care to identify predictors of cardiovascular events.
Detailed description
This study combines retrospective and prospective designs.
Retrospective:
We use past electronic medical records to identify participants and collect baseline information from their initial visit (using their code or health card number).
Prospective:
From that starting point, we follow the same participants forward in time, updating data every two years and recording new outcomes (mortality, cardiovascular events, rehospitalizations, treatment-related outcomes) at planned checkpoints (approximately 6 months, 1 year, and 2 years).
New eligible participants identified in later data extractions are added and followed in the same manner. Because we only observe and record participants existing records and outcomes without assigning interventions, the study is observational.
Study design
- Observational model
- Cohort
- Time perspective
- Other
- Target follow-up
- 2 Years
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Participants admitted at Hamad Medical Corporation for Acute Coronary Syndrome (ACS) or Acute Heart Failure (AHF).
Key inclusion criteria (4 listed)
- Age ≥ 18
- Qatari and Arab participants
- Participants admitted for Acute Coronary Syndrome (ACS) or Acute Heart Failure (AHF)
- Metabolic disease: Diabetes (HbA1C ≥ 6.5% or any HbA1C if a patient is on an antidiabetic agent) or pre-diabetes: 5.7% ≤ HbA1c ≤ 6.4%
Key exclusion criteria (3 listed)
- Non-Qatari or non-Arab participants
- Non-diabetic: HbA1C < 5.7%
- This chart review involves no direct interaction with individuals. Prisoners are not a focus of this study, and incarceration status is not identifiable in the records reviewed.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Incidence of 3-point Major Adverse Cardiovascular Events (MACE) in Acute Coronary Syndrome Patients
Time frame: 5 years
Composite endpoint defined as the occurrence of cardiovascular death, non-fatal myocardial infarction, or non-fatal stroke. Events will be identified using electronic medical records, hospital admission data, and follow-up assessments during the study period. These outcomes will serve as endpoints for the development and validation of predictive machine learning models.
Incidences of 2-point Major Adverse Cardiovascular Events (MACE) in Heart Failure Patients
Time frame: 5 years
Composite endpoint defined as cardiovascular death or hospitalization for heart failure. Events will be ascertained through hospital records, clinical documentation, and follow-up data collection. These outcomes will be used as endpoints for predictive model development and validation.
9 secondary outcomes
Major Adverse Cardiovascular Events
Time frame: 5 years
Unstable angina requiring hospitalization
Time frame: 5 years
Arrhythmic events
Time frame: 5 years
Coronary revascularization
Time frame: 5 years
Post-Percutaneous Coronary Intervention (PCI) or Coronary Artery Bypass Grafting (CABG) complications (stent/graft thrombosis or repeat revascularization)
Time frame: 5 years
Development or progression of valvular heart disease (aortic or mitral stenosis/regurgitation)
Time frame: 5 years
New-onset diabetes mellitus
Time frame: 5 years
Change in glycated Hemoglobin A1c (HbA1c)
Time frame: 5 years
Newly diagnosed medical or surgical conditions not present at baseline
Time frame: 5 years
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 21 Apr 2026.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Charbel Abi Khalil principal investigator
Weill Cornell Medicine-Qatar
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Cardio Vascular Disease and Acute Coronary Syndromes (ACS), run by Weill Cornell Medical College in Qatar at 1 site in Qatar.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 21 Apr 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Qatar. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Charbel Abi Khalil Prof (+ 974 4492 8484, cha2022@qatar-med.cornell.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Incidence of 3-point Major Adverse Cardiovascular Events (MACE) in Acute Coronary Syndrome Patients (time frame: 5 years). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 21 Apr 2026.