Clinical Research Directory

Prediction of Adverse Events From Non-PCI Coronary Plaques Using Machine Learning

The aim of our project is to predict, with the help of artificial intelligence (AI) and machine learning techniques, the natural history of non-flow-limiting coronary stenoses and to develop and validate a machine learning risk score able to estimate the risk of MACE during follow-up based on OCT findings observed on coronary plaques not subjected to percutaneous coronary intervention (PCI) and on the clinical characteristics of the patients. We will collect information on all non-PCI coronary lesions assessed by performing OCT in non-culprit vessels of patients presenting with ACS or Chronic Coronary Syndrome (CCS) at the index procedure. All OCT runs will be digitized and analyzed with the help of AI. The OCT appearance of coronary plaques will be analyzed with AI and correlated with the risk of MACE during follow-up (a composite of cardiac death, myocardial infarction, or target lesion revascularization). An AI predictive risk model based on coronary plaque OCT images and patient clinical characteristics will be developed to estimate the risk of MACE incidence at follow-up. Cutting-edge machine learning algorithms, including convolutional neural networks, random forests, and support vector machines, will be used.

Gangwon PCI Prospective Registry

This prospective, multicenter registry will consecutively enroll patients of all ages undergoing percutaneous coronary intervention (PCI) at four university hospitals in Gangwon Province, Republic of Korea. The study will describe contemporary clinical, procedural, and medication treatment patterns and assess 1-year clinical outcomes in routine practice. The primary outcome is patient-oriented composite outcome (POCO), defined as all-cause death, any myocardial infarction, or any repeat revascularization. No study-specific intervention will be assigned.

Current Status and Determinants of Care for Patients With Acute Chest Pain in China: A Retrospective Analysis of Data From the China Chest Pain Center Registry

Chinese Cardiovascular Association is an association dedicated to establishing Chest Pain Centers in hospitals that have basic qualifications and meet pre-designed quality control targets.The vision of Chinese Cardiovascular Association is the cardiovascular health of every Chinese, and the mission is to realize the early arrival of the inflection point of cardiovascular events in China.The institute of China Heart House is responsible for the daily management and implementation of Chinese Cardiovascular Association and the implementation and management of the Chest Pain Center construction project.In order to improve standard treatment and chest pain system management to achieve better outcomes for patients, China Heart House established the chest pain center database.The database includes patients in 6000 registered hospitals in 31 provinces in China who have been admitted with chest pain.The database can reflect the clinical characteristics, treatment and outcome of patients with chest pain in China. This non-interventional, retrospective study analyzed the chest pain center database to understand the demographics, clinical characteristics, treatment patterns and clinical outcomes of patients with chest pain, and to analyze the effects of different treatment patterns, including chest pain centers and related collaborative treatment networks.The results of the study will assess the gap between the real-world situation and the recommendations of the guidelines and reflect the effect of chest pain centers and related collaborative treatment networks on the treatment process and service quality.The research results can be directly translated into the basis of medical treatment system intervention, and also provide decision-making reference for improving the evaluation standards and quality control of chest pain centers.

Diagnostic Performance of Artificial Intelligence Algorithms in Prediction of Acute Coronary Syndrome Based on White Blood Cell Properties

The goal of this observational study is to evaluate whether artificial intelligence (AI) algorithms can predict or exclude acute coronary syndrome (ACS) in adults using data generated by routine hematology testing. The main questions the study aims to answer are: * Can AI algorithms based on white blood cell (WBC) data predict or exclude ACS in subjects with suspected ACS? * Can erythrocyte (EC) and/or thrombocyte (TC) data, where available, improve or complement WBC-based AI prediction of ACS? * How does the diagnostic performance of the AI algorithms compare with high-sensitivity cardiac troponin (hs-cTn), and can the combination of AI algorithms and hs-cTn improve diagnostic performance? Participants will undergo clinical assessment and blood testing as part of usual clinical care. Their previously generated clinical information, hematology data, and hs-cTn results will be used to train and test the AI algorithms. Participation in the study does not determine the indication for coronary angiography or treatment, and no additional study-specific treatments are performed.

Oregano and Basil Leaves and Coronary Artery Disease

The present study will examine the effects of increasing dietary polyphenol intake by consumption of oregano and basil leaves, on plasma inflammatory and lipid factors and total urinary polyphenol levels in patients who have recently had unstable angina.

Breaking Fasts Ahead of Cardiac Caths

The goal of this clinical trial is to find out whether fasting is necessary before urgent inpatient cardiac catheterizations. For patients presenting with urgent heart-related pain or even mild heart attacks, researchers want to know whether eating and drinking before their procedure improves comfort without raising the risk of complications. The study will answer: * Does eating and drinking before the procedure improve patient comfort? * Does it increase the risk of adverse events like vomiting, aspiration (food or liquid entering the lungs), breathing problems, or death, etc? Participants will be randomly assigned to either: * A standard fasting group (no food for 6 hours, no clear liquids for 2 hours), or * A no-fasting group (able to eat and drink as usual). Patients will complete brief surveys before the procedure to assess comfort and satisfaction. Researchers will also review medical records weekly and 30 days later to monitor for safety outcomes.

Scientific Rationale and Design for a Prospective Study to Codify Coronary Lesions Based on Fluid Mechanics and Acoustic Mechanisms

From January 2020 to June 2025, patients coming to the cardiac catheterization laboratories (CCL) for out-patient coronary angiography with diagnosis of unstable angina were screened for inclusion. Patients were included in the study if they had previously undergone one or more coronary angiograms, allowing for a longitudinal comparison of dynamic flow and phenomena between the two or more angiograms.