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

Launched by QILU HOSPITAL OF SHANDONG UNIVERSITY · Oct 31, 2024

Keywords

ClinConnect Summary

This clinical trial is exploring a new method called "cardiodynamicsgram" (CDG) to help doctors quickly and accurately assess patients who come to the emergency department with chest pain. Chest pain can be a sign of serious heart conditions, and this study aims to improve how we determine the cause of that pain. The CDG technique, developed by Cong W's team, looks at electrical signals from the heart in a way that could enhance our ability to identify issues like reduced blood flow to the heart.

To participate in this trial, individuals must be 18 years or older and have chest pain that might indicate a heart problem called acute coronary syndrome (ACS). However, those who have already been diagnosed with certain severe heart issues or conditions that affect the heart's rhythm will not be eligible. Participants can expect to undergo tests that will help researchers evaluate the CDG technique's effectiveness compared to traditional methods. This research is important because it could lead to better and faster care for patients experiencing chest pain in the future.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • aged 18 years or older
• • Those with suspected ACS who have symptoms of acute chest pain, visiting in the emergency department
• Exclusion Criteria:
• • Those who diagnosed with ST-segment elevation myocardial infarction (STEMI)
• • Those with hemodynamic instability (cardiogenic shock, cardiac arrest)
• • Those with malignant arrhythmias(ventricular tachycardia, ventricular fibrillation, third-degree atrioventricular block)
• • Those with aortic coarctation, or acute pulmonary embolism
• • Those who has an unanalysable ECG report due to loosened leads, unstable baseline, or signal interference, etc.