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Clinical Trial Summary

The goal of this observational study is to identify potential indicators for pre-warning of sudden cardiac death (SCD), including clinical biochemistry markers, electrocardiogram, echocardiography, MRI and CT imaging values, genetic markers and so on, and further construct a series of multi-parameter assessments of SCD early screening.


Clinical Trial Description

In the past few decades, evidence-based drug and surgical treatment strategies have significantly improved the prevention of sudden cardiac death (SCD), however, a large number of patients with cardiovascular disease still face high risk of SCD, the prognosis of these high-risk SCD patients are still uncertain. Therefore, clinical physicians might need to move towards a multi-parameter assessment of SCD risk pre-warning. Several parameters for risk stratification of arrhythmia, including clinical biochemistry markers, electrocardiogram, echocardiography, imaging, and genetic markers, are crucial for accurate assessment of SCD risk stratification. In addition, the integration of cardiac magnetic resonance parameters and specific CT and ECG information is a future research trend for implementing risk stratification of malignant arrhythmias. In order to further explore the possibility of early warning of SCD, this study aims to include subjects with potential SCD risks, collect relevant potential SCD warning indicators, and then construct an SCD prewarning score system. Afterwards, the investigators will continuously improve the SCD warning score system based on follow-up information, and ultimately summarize an effective set of SCD warning scores and apply them to clinical practice, striving to achieve early warning of SCD and benefiting more people at risk of SCD. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06440083
Study type Observational
Source Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Contact Yuling Zhang, M.D.,Ph.D.
Phone +862081332360
Email zhyul@mail.sysu.edu.cn
Status Recruiting
Phase
Start date March 2, 2023
Completion date December 31, 2027

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