Evidence map›Paper›PMID 32220425›Full record

ArticleJournal of biomechanics2020

Determining the impacts of venoarterial extracorporeal membrane oxygenation on cerebral oxygenation using a one-dimensional blood flow simulator.

Bradley Feiger, Ajar Kochar, John Gounley, Desiree Bonadonna, Mani Daneshmand, Amanda Randles

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 27 citations in OpenAlex.

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  14. Global Sensitivity Analysis For Clinically Validated 1D Models of Fractional Flow Reserve.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Bradley FeigerDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Ajar KocharDepartment of Medicine, Duke University, Durham, NC, USA.
John GounleyDepartment of Biomedical Engineering, Duke University, Durham, NC, USA; Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Desiree BonadonnaDuke University Medical Center, Durham, NC, USA.
Mani DaneshmandDivision of Cardiovascular and Thoracic Surgery, Duke University, Durham, NC, USA.
Amanda RandlesDepartment of Biomedical Engineering, Duke University, Durham, NC, USA. Electronic address: amanda.randles@duke.edu.
Duke University · USDuke Medical Center · US

Funding

Toward coupled multiphysics models of hemodynamics on leadership systemsDP5OD019876 · OD · UNIVERSITY OF CALIF-LAWRNC LVRMR NAT LAB · PI RANDLES, AMANDA E · 2014 to 2018
$2.0M
NIH HHS DP5 OD019876
6 · The paper itself

Abstract

Venoarterial extracorporeal membrane oxygenation (VA-ECMO) is a mechanical system that provides rapid and short-term support for patients with cardiac failure. In many patients, pulmonary function is also impaired, resulting in poorly-oxygenated cardiac outflow competing against well-oxygenated VA-ECMO outflow, a condition known as North-South syndrome. North-South syndrome is a primary concern because of its potential to cause cerebral hypoxia, which has a critical influence on neurological complications often seen in this patient population. In order to reduce ischemic neurological complications, it is important to understand how clinical decisions regarding VA-ECMO parameters influence blood oxygenation. Here, we studied the impacts of flow rate and cannulation site on oxygenation using a one-dimensional (1D) model to simulate blood flow. Our model was initially tested by comparing blood flow results to those observed from experimental work in VA-ECMO patients. The 1D model was combined with a two-phase flow model to simulate oxygenation. Additionally, the influence of various other clinician-tunable parameters on oxygenation in the common carotid arteries (CCAs) were tested, including, blood viscosity, cannula position within the insertion artery, heart rate, and systemic vascular resistance (SVR), as well as geometrical changes such as arterial radius and length. Our results indicated that blood oxygenation to the brain strongly depended on the cannula insertion site and the VA-ECMO flow rate with a weaker but potentially significant dependence on arterial radius. During femoral cannulation, VA-ECMO flow rates greater than ~4.9L/min were needed to perfuse the CCAs. However, axillary and central cannulation began to perfuse the CCAs at significantly lower flow (~1L/min). These results may help explain the incidence of cerebral hypoxia in this patient population and the common need to change cannulation strategies during treatment to address this clinical problem. While this work describes patient-averaged results, determining these relationships between VA-ECMO parameters and cerebral hypoxia is an important step towards future work to develop patient-specific models that clinicians can use to improve outcomes.

Indexed as

Extracorporeal Membrane OxygenationHemodynamicsCannulaCatheterizationFemoral ArteryHumans1D blood flowComputational fluid dynamicsECMOHemodynamicsMixing zone

Identifiers

PMID32220425
PMCPMC7707150
OpenAlexW3009553771

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.