PMID- 33333365
OWN - NLM
STAT- MEDLINE
DCOM- 20210701
LR  - 20220202
IS  - 1879-0534 (Electronic)
IS  - 0010-4825 (Print)
IS  - 0010-4825 (Linking)
VI  - 129
DP  - 2021 Feb
TI  - Multiscale modeling of blood flow to assess neurological complications in 
      patients supported by venoarterial extracorporeal membrane oxygenation.
PG  - 104155
LID - S0010-4825(20)30486-8 [pii]
LID - 10.1016/j.compbiomed.2020.104155 [doi]
AB  - Computational blood flow models in large arteries elucidate valuable 
      relationships between cardiovascular diseases and hemodynamics, leading to 
      improvements in treatment planning and clinical decision making. One such 
      application with potential to benefit from simulation is venoarterial 
      extracorporeal membrane oxygenation (VA-ECMO), a support system for patients with 
      cardiopulmonary failure. VA-ECMO patients develop high rates of neurological 
      complications, partially due to abnormal blood flow throughout the vasculature 
      from the VA-ECMO system. To better understand these hemodynamic changes, it is 
      important to resolve complex local flow parameters derived from three-dimensional 
      (3D) fluid dynamics while also capturing the impact of VA-ECMO support throughout 
      the systemic arterial system. As high-resolution 3D simulations of the arterial 
      network remain computationally expensive and intractable for large studies, a 
      validated, multiscale model is needed to compute both global effects and 
      high-fidelity local hemodynamics. In this work, we developed and demonstrated a 
      framework to model hemodynamics in VA-ECMO patients using coupled 3D and 
      one-dimensional (1D) models (1D-->3D). We demonstrated the ability of these 
      multiscale models to simulate complex flow patterns in specific regions of 
      interest while capturing bulk flow throughout the systemic arterial system. We 
      compared 1D, 3D, and 1D-->3D coupled models and found that multiscale models were 
      able to sufficiently capture both global and local hemodynamics in the cerebral 
      arteries and aorta in VA-ECMO patients. This study is the first to develop and 
      compare 1D, 3D, and 1D--> 3D coupled models on the larger arterial system scale in 
      VA-ECMO patients, with potential use for other large scale applications.
CI  - Copyright (c) 2020 Elsevier Ltd. All rights reserved.
FAU - Feiger, Bradley
AU  - Feiger B
AD  - Department of Biomedical Engineering, Duke University, Durham, NC, USA.
FAU - Adebiyi, Adebayo
AU  - Adebiyi A
AD  - Department of Biomedical Engineering, Duke University, Durham, NC, USA.
FAU - Randles, Amanda
AU  - Randles A
AD  - Department of Biomedical Engineering, Duke University, Durham, NC, USA. 
      Electronic address: amanda.randles@duke.edu.
LA  - eng
GR  - DP5 OD019876/OD/NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20201209
PL  - United States
TA  - Comput Biol Med
JT  - Computers in biology and medicine
JID - 1250250
SB  - IM
MH  - Aorta
MH  - Cerebral Arteries
MH  - *Extracorporeal Membrane Oxygenation/adverse effects
MH  - Heart
MH  - Hemodynamics
MH  - Humans
PMC - PMC7842187
MID - NIHMS1653608
OTO - NOTNLM
OT  - 1D models
OT  - 1D-3D coupled models
OT  - 3D models
OT  - Blood flow simulations
OT  - ECMO
OT  - Multiscale models
EDAT- 2020/12/18 06:00
MHDA- 2021/07/02 06:00
PMCR- 2022/02/01
CRDT- 2020/12/17 20:12
PHST- 2020/09/04 00:00 [received]
PHST- 2020/11/06 00:00 [revised]
PHST- 2020/11/23 00:00 [accepted]
PHST- 2020/12/18 06:00 [pubmed]
PHST- 2021/07/02 06:00 [medline]
PHST- 2020/12/17 20:12 [entrez]
PHST- 2022/02/01 00:00 [pmc-release]
AID - S0010-4825(20)30486-8 [pii]
AID - 10.1016/j.compbiomed.2020.104155 [doi]
PST - ppublish
SO  - Comput Biol Med. 2021 Feb;129:104155. doi: 10.1016/j.compbiomed.2020.104155. Epub 
      2020 Dec 9.