Farhad Nezami, PhD

Rank

Assistant Professor

Department

Surgery

Cardiac Surgery

Authors

Hamed Moradi, Elazer R. Edelman, Steve P. Keller, Farhad R. Nezami*

Principal Investigator

Farhad R. Nezami

Twitter / Website

Categories

Computational modeling of oxygen transport to predict cardiac ischemia in lung failure patients treated with upper body venoarterial extracorporeal membrane oxygenation

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Abstract

There exists a growing gap between the rising number of end-stage lung failure patients in urgent need of transplantation and availability of donated organs. The high mortality rate for this group of patients (almost 50%) mandates effective and safe strategies as a bridge to transplantation. Extracorporeal membrane oxygenation (ECMO) is increasingly being deployed as a life-saving means providing timely support for lung/heart failure patients. Despite the significant interest and use for ECMO, little is known about its interactions with the failing lung/heart and performance in perfusing vital organs. The optimal approach to particularly help patients with end-stage lung disease complicated by pulmonary hypertension or RV failure is not known. Recently, upper body venoarterial (VA) ECMO is being suggested through which, by shunting blood around the cardiopulmonary circulation, clinicians attempt to offload and improve the function of RV. Yet, in vivo studies of preclinical models have raised concerns about preferential perfusion of coronary arteries with native stream of low-oxygenated blood during ECMO therapy. We, for the first time, have developed a patient-specific computational tool to study upper body VA ECMO and titration of support on end-organ oxygen delivery. With varying ECMO-derived perfusion (2, 3, and 4 LPM), we modeled several scenarios with different partial pressure of oxygen for the compromised heart (30 and 60 mmHg) applying variable levels of oxygenation for ECMO supply (150, 300, and 500 mmHg). Results revealed that while a linear relation exists between organ oxygenation and the ECMO support oxygen content, increasing the ECMO flow had a non-linear effect on oxygenation. We conclude that the interplay between native and support streams and hemodynamic patterns majorly determine the efficacy of ECMO in helping patients and this is even more pronounced in lung failure patients wherein there is significant disparity in oxygen content of native heart and ECMO supply.