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chest-pain Clinical Trials

A listing of chest-pain medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.

Found 53 clinical trials

Safety and Clinical Performance of the Freesolve Resorbable Magnesium Scaffold System in the Treatment of Subjects With Long de Novo Lesions

The study objective is the assessment of safety and clinical performance of Freesolve 35- and 40-mm in de novo coronary artery lesions up to 38 mm length.

18 - 80 years of age All Phase N/A
A ANDREA PICCIONI, Dr.

Multimarker Approach in Acute Chest Pain

Chest pain is one of the most common causes of access in the Emergency Room, and it can be a clinical manifestation of a broad spectrum of diseases including those 'time dependent' conditions such as acute coronary syndrome (ACS). Diagnosis or exclusion of acute myocardial infarction (AMI) is a daily …

18 years of age All Phase N/A
H Homa Tavana

Evaluation of Patients With Non-obstructive Coronary Arteries

Patients with angina and non-obstructive CAD are common within clinical practice, but remain a challenge with regard to diagnosis and treatment. When these patients undergo a comprehensive evaluation at the time of invasive coronary angiography, occult coronary abnormalities are frequently found. We hope to learn the overall prevalence and presentation …

18 years of age All Phase N/A
K Kristoffer Wibring, PhD

Digital Decision Support in the Management of Patients With Chest Pain

The goal of this observational study is to develop a decision support system in patients presenting with chest pain in the prehospital setting. The main question it aims to answer is • Performance of a machine learning based model for decision support of patients in contact with emergency medical services …

18 years of age All Phase N/A
J Jiaojiao Pang, Doctor

Use of Determine Learning-based Cardiodynamicsgram (CDG) for Rapid and Precise Stratification of Chest Pain in Emergency Department

Chest pain accounts for 10-20 percent of all emergency department visits. The stratification of chest pain is always a challenge. Electrocardiograms (ECG) have been used in clinical practice for 100 years, which is too important to be replaced due to its advantages of non-invasive, simple, rapid and inexpensive. ECG contains …

18 years of age All Phase N/A
J Jia Zhou

CCTA Improves Clinical Management of Stable Chest Pain

The investigator aims to prospectively enroll patients who were referred for coronary computed tomography angiography (CCTA) for the assessment of stable chest pain (SCP) suspected of obstructive coronary artery disease (CAD). All patients underwent CCTA according to established guidelines and local institutional protocols. The imaging data were evaluated using different …

18 years of age All Phase N/A
J Jia Zhou

TTE Improves Clinical Management of Stable Chest Pain

The investigator aims to prospectively enroll patients who were referred for transthorcic echocardiography (TTE) for the assessment of stable chest pain (SCP) suspected of obstructive coronary artery disease (CAD). All patients underwent TTE according to established guidelines and local institutional protocols. This study will determine if TTE-based imaging evaluation can …

18 years of age All Phase N/A

MCG for Risk Stratifications of Patients With Chest Pain

This prospective cohort study is aimed at identification and risk stratification of patients who have symptoms of acute chest pain suspected with acute coronary syndrome (ACS) using Magnetocardiography (MCG).

years of age All Phase N/A
J Johannes Neumann, MD

Biomarkers in Acute Cardiac Care

The primary aim of the study is to investigate new cardiac biomarkers and algorithms to diagnose acute coronary syndrome in patients with suspected acute myocardial infarction.

18 years of age All Phase N/A
H Heiko Bugger, MD

AI Algorithms in Prediction of ACS Based on Leukocyte Properties

The goal of this observational study is to find out if artificial intelligence (AI) can accurately predict acute coronary syndrome (ACS) using data on white blood cells in adults. The main question it aims to answer is: Can AI algorithms based on white blood cell data predict ACS with accuracy …

18 years of age All Phase N/A

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