Assessment of Left Ventricular Filling Pressure by Applying Artificial Intelligence Algorithms to Left Atrial Speckle-tracking Echocardiography

Summary

The goal of this single-center, prospective, observational study is to validate a software package based on an artificial intelligence algorithm for automated non-invasive estimation of LVFP against invasively measured ones by left and right heart catheterization; In addition, the added value of this new automated software to detect increased LVEDP \> 15 mm Hg compared to the current ASE/EACVI algorithm for assessing diastolic dysfunction and longitudinal left atrial strain during the reservoir phase will be evaluated.

Eligibility

Inclusion Criteria:

* ≥ 18 yo,
* Signed informed consent to be part of this study,
* No pregnancy,
* Good acoustic window and patient cooperation to obtain good 2- and 3-dimensional datasets focused on left atrium (LA),

Exclusion Criteria:

* Unwillingness to be part of the study,
* Patients with poor 2-dimensional imaging quality in ≥ 1 LA segment or lacking of a discernible R-R interval, which might preclude accurate strain measurements,
* Patients with more than mild mitral valve heart disease, aortic regurgitation, left side valvular prosthesis or mitral valve repair, mitral annulus calcification (≥ 5 mm),
* Patients with history or presence of atrial fibrillation (AF), supraventricular arrhythmias, ventricular paced rhythm, left bundle branch block (LBBB),
* Patients taking diuretics or vasodilators (nitrates) on the day of the examination, which could alter loading conditions.

Conditions3

Locations1 site

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