Prediction of haemodynamics after interatrial shunt for heart failure using the generalized circulatory equilibrium

Autor: Keimei Yoshida, Kenji Sunagawa, Takuya Nishikawa, Kazunori Uemura, Genya Sunagawa, Takeshi Tohyama, Keita Saku, Takuya Kishi, Kiyoshi Uike, Hiroyuki Tsutsui
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: ESC Heart Failure, Vol 7, Iss 5, Pp 3075-3085 (2020)
ISSN: 2055-5822
Popis: Aims Interatrial shunting (IAS) reduces left atrial pressure in patients with heart failure. Several clinical trials reported that IAS improved the New York Heart Association score and exercise capacity. However, its effects on haemodynamics vary depending on shunt size, cardiovascular properties, and stressed blood volume. To maximize the benefit of IAS, quantitative prediction of haemodynamics under IAS in individual patients is essential. The generalized circulatory equilibrium framework determines circulatory equilibrium as the intersection of the cardiac output curve and the venous return surface. By incorporating IAS into the framework, we predict the impact of IAS on haemodynamics. Methods and results In seven mongrel dogs, we ligated the left anterior descending artery and created impaired cardiac function with elevated left atrial pressure (baseline: 7.8 ± 1.0 vs. impaired: 11.9 ± 3.2 mmHg). We established extracorporeal left‐to‐right atrial shunting with a centrifugal pump. After recording pre‐IAS haemodynamics, we changed IAS flow stepwise to various levels and measured haemodynamics under IAS. To predict the impact of IAS on haemodynamics, we modelled the fluid mechanics of IAS by Newton's second law and incorporated IAS into the generalized circulatory equilibrium framework. Using pre‐IAS haemodynamic data obtained from the dogs, we predicted the impact of IAS flow on haemodynamics under IAS condition using a set of equations. We compared the predicted haemodynamic data with those measured. The predicted pulmonary flow [r2 = 0.88, root mean squared error (RMSE) 11.4 mL/min/kg, P
Databáze: OpenAIRE