PMID- 29280094
OWN - NLM
STAT- MEDLINE
DCOM- 20181015
LR  - 20181113
IS  - 1741-0444 (Electronic)
IS  - 0140-0118 (Linking)
VI  - 56
IP  - 7
DP  - 2018 Jul
TI  - The numerical study on the effects of cardiac function on the aortic oxygen 
      distribution.
PG  - 1305-1313
LID - 10.1007/s11517-017-1777-9 [doi]
AB  - Although venoarterial extracorporeal membrane oxygenation (VA-ECMO) was widely 
      used in clinical practice, the effects of cardiac output on the aortic oxygen 
      distribution were still unclear. Hence, the present study aims to evaluate the 
      effect of cardiac function on the aortic oxygen distribution under VA-ECMO 
      support. A novel model, combining computational fluid dynamics, multiphase fluid 
      approach, and oxygen transport theory together, was established. According to the 
      clinical practice, four cardiac output conditions, including 0, 1, 2, and 
      2.5 L/min, were designed. The results demonstrated that the proposed method could 
      accurately calculate the distribution of oxygen in the aorta. Moreover, the 
      aortic oxygen distribution was significantly regulated by the local blood flow 
      pattern. The deoxygenated blood flow and oxygenated blood flow met at the aortic 
      arch and formed the so-called oxygenshed phenomenon. Along with the cardiac 
      output increase, the oxygenshed was moved from the proximal of the aortic arch to 
      the descending aorta. Meanwhile, the oxygen contents in the brachiocephalic 
      artery and left common carotid artery were reduced along with the increase of 
      cardiac output. The study could provide much useful information on the oxygen 
      distribution in the aorta to surgeons and operators of VA-ECMO. Graphical 
      abstract The results showed the deoxygenated blood and oxygenated blood met at 
      the aortic arch and formed the so-called "oxygenshed" phenomenon. This phenomenon 
      is consistent with the phenomenon called "watershed".
FAU - Zhang, Qi
AU  - Zhang Q
AD  - School of Life Science and BioEngineering, Beijing University of Technology, 
      Beijing, 100124, People's Republic of China.
FAU - Gao, Bin
AU  - Gao B
AUID- ORCID: 0000-0002-5297-9199
AD  - School of Life Science and BioEngineering, Beijing University of Technology, 
      Beijing, 100124, People's Republic of China. gaobin@bjut.edu.cn.
FAU - Chang, Yu
AU  - Chang Y
AD  - School of Life Science and BioEngineering, Beijing University of Technology, 
      Beijing, 100124, People's Republic of China. changyu@bjut.edu.cn.
LA  - eng
GR  - 11602007/National Natural Science Foundation of China/
GR  - 91430215/National Natural Science Foundation of China/
GR  - 11572014/National Natural Science Foundation of China/
GR  - 015000514316007/BJUT Foundation Fund/
PT  - Journal Article
DEP - 20171226
PL  - United States
TA  - Med Biol Eng Comput
JT  - Medical & biological engineering & computing
JID - 7704869
RN  - S88TT14065 (Oxygen)
SB  - IM
MH  - Aorta/*metabolism
MH  - Blood Flow Velocity
MH  - Erythrocytes/metabolism
MH  - Heart/*physiology
MH  - Hemodynamics
MH  - Humans
MH  - *Numerical Analysis, Computer-Assisted
MH  - Oxygen/*metabolism
OTO - NOTNLM
OT  - CFD
OT  - Mass transport
OT  - Multiphase
OT  - Oxygen content
OT  - VA-ECMO
EDAT- 2017/12/28 06:00
MHDA- 2018/10/16 06:00
CRDT- 2017/12/28 06:00
PHST- 2017/08/22 00:00 [received]
PHST- 2017/12/13 00:00 [accepted]
PHST- 2017/12/28 06:00 [pubmed]
PHST- 2018/10/16 06:00 [medline]
PHST- 2017/12/28 06:00 [entrez]
AID - 10.1007/s11517-017-1777-9 [pii]
AID - 10.1007/s11517-017-1777-9 [doi]
PST - ppublish
SO  - Med Biol Eng Comput. 2018 Jul;56(7):1305-1313. doi: 10.1007/s11517-017-1777-9. 
      Epub 2017 Dec 26.