Clinical Research Directory

ECG and CXR for Predicting Cardiovascular Diseases

This retrospective multicenter cohort study aims to develop and validate an artificial intelligence model integrating electrocardiography (ECG) and chest radiography (CXR) to predict future progression of regurgitant valvular heart disease (rVHD), including aortic, mitral, and tricuspid regurgitation. Adult patients with ECG, CXR, and echocardiography obtained within 60 days, together with follow-up echocardiographic data, are included. The primary objective is to determine whether multimodal ECG+CXR modeling improves prediction of progression to moderate or severe regurgitation beyond ECG-only or CXR-only models. Secondary objectives include evaluation of clinical utility, risk stratification, and model interpretability. This study is intended to assess whether routinely acquired ECG and CXR can be used to support surveillance echocardiography and risk-directed management in patients at risk of future rVHD progression.

Screening of Valvular Heart Disease Using Single-channel Electrocardiogram

It is a prospective, controlled, single-center, observational, non-randomized study. The study is planned to include at least 1000 patients over 18 years old in the training sample and 200 patients over 18 years old in the test sample (the total number of patients is at least 1200 people). All patients will undergo an echocardiography examination with a comprehensive analysis of the function of the valves and other structures of the heart according to current recommendations by two independent experts. Registration of electrocardiogram will be performed immediately after echocardiography using a single lead ECG monitor (in I standard lead) for 1 minutes. The obtained data will be stored in the remote monitoring center of Sechenov University without being linked to the personal data of patients. A spectral analysis of the electrocardiogram will be performed using a continuous wavelet transform. The result of this study will be the identification of ECG parameters that will correlate with valvular heart disease.

Different Methods of Cardiac MRI in Assessment of Estimated Corrected Ejection Fraction in Valvular Heart Diseases

Comparative study between Phase Contrast , Modified Simpson Rule and Myocardial Strain Analysis methods of Cardiac Magnetic Resonance Imaging in assessment of Corrected Estimated Ejection Fraction in Valvular Heart Disease To Evaluate the diagnostic accuracy of different methods of cardiac MRI to assess estimated corrected ejection fraction in valvular heart diseases.