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DOI 10.3791/62661

Медицинская библиотека · Journal of visualized experiments : JoVE · 2021

Closed Chest Biventricular Pressure-Volume Loop Recordings with Admittance Catheters in a Porcine Model.

Lyhne Mads Dam, Schultz Jacob Gammelgaard, Dragsbaek Simone Juel, Hansen Jacob Valentin, Mortensen Christian Schmidt, Kramer Anders, Nielsen-Kudsk Jens Erik, Andersen Asger

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Аннотация

Pressure-volume (PV) loop recording enables the state-of-the-art investigation of load-independent variables of ventricular performance. Uni-ventricular evaluation is often performed in preclinical research. However, the right and left ventricles exert functional interdependence due to their parallel and serial connections, encouraging simultaneous evaluation of both ventricles. Furthermore, various pharmacological interventions may affect the ventricles and their preloads and afterloads differently. We describe our closed chest approach to admittance-based bi-ventricular PV loop recordings in a porcine model of acute right ventricular (RV) overload. We utilize minimally invasive techniques with all vascular accesses guided by ultrasound. PV catheters are positioned, under fluoroscopic guidance, to avoid thoracotomy in animals, as the closed chest approach maintains the relevant cardiopulmonary physiology. The admittance technology provides real-time PV loop recordings without the need for post-hoc processing. Furthermore, we explain some essential troubleshooting steps during critical timepoints of the presented procedure. The presented protocol is a reproducible and physiologically relevant approach to obtain a bi-ventricular cardiac PV loop recording in a large animal model. This can be applied to a large variety of cardiovascular animal research.

Для цитирования: Lyhne Mads Dam, Schultz Jacob Gammelgaard, Dragsbaek Simone Juel, Hansen Jacob Valentin, Mortensen Christian Schmidt, Kramer Anders, Nielsen-Kudsk Jens Erik, Andersen Asger. Closed Chest Biventricular Pressure-Volume Loop Recordings with Admittance Catheters in a Porcine Model.. Journal of visualized experiments : JoVE. 2021. DOI: 10.3791/62661.

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