a Foundational Model for Cardiovascular Disease Diagnosis and Prediction

Launched by SHANGHAI ZHONGSHAN HOSPITAL · Sep 8, 2024

Keywords

ClinConnect Summary

The clinical trial titled "A Foundational Model for Cardiovascular Disease Diagnosis and Prediction" is focused on improving how we diagnose and predict heart diseases, such as coronary heart disease, heart failure, and arrhythmias. Researchers want to see if a new model that uses a variety of medical data—like heart scans, blood tests, and electrocardiograms (ECGs)—can be as accurate or even better than traditional methods, like coronary angiography and MRI. By comparing this new approach with existing diagnostic techniques, they hope to enhance the accuracy of diagnosing heart conditions and predicting patient outcomes.

To participate, individuals must be at least 18 years old and have a complete medical history that includes important tests and scans related to heart health. This study aims to gather data from past medical records and may involve additional tests if necessary. It's important to note that the trial is not yet recruiting participants, and those currently involved in other clinical trials or with incomplete records may not be eligible. The goal is to work towards better heart disease management and improve the lives of patients with cardiovascular conditions.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Age ≥ 18 years: Patients who are 18 years of age or older. Time period: Patients who were treated or diagnosed between January 1, 2009, and December 31, 2023.
• • Complete medical records: Patients with comprehensive medical records, including ECG, echocardiography, MRI, CTA, nuclear imaging (SPECT/PET), and biochemical test results.
• • Cardiovascular diseases: Patients with diagnosed cardiovascular conditions, such as coronary artery disease (CAD), heart failure, arrhythmias, and valvular heart disease (VHD), as well as healthy individuals for comparison.
• • Willingness to participate: Patients who are able to provide informed consent or their legal representatives.
• Exclusion Criteria:
• • Participation in other clinical trials: Patients who are currently participating in other clinical trials that may affect the study outcomes.
• • Incomplete medical records: Patients whose medical records lack essential data, such as ECG, echocardiography, MRI, CTA, nuclear imaging (SPECT/PET), or biochemical test results.
• • Data quality issues: Patients with records that have significant errors, inconsistencies, or incomplete data that cannot be reasonably corrected.
• • Ethical or legal concerns: Patients whose data cannot be used due to a lack of necessary consent or legal/ethical restrictions.