Evidence map›Paper›PMID 29080191›Full record

ArticleMedical & biological engineering & computing2018

Computational analysis of the effect of mitral and aortic regurgitation on the function of ventricular assist devices using 3D cardiac electromechanical model.

Yoo Seok Kim, Ana R Yuniarti, Kwang-Soup Song, Natalia A Trayanova, Eun Bo Shim, Ki Moo Lim

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 85% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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 3 institutions in 2 countries.

Yoo Seok KimDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Gumi, Gyeongbuk, 39253, Republic of South Korea.
Ana R YuniartiDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Gumi, Gyeongbuk, 39253, Republic of South Korea.
Kwang-Soup SongDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of South Korea.
Natalia A TrayanovaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Eun Bo ShimDepartment of Mechanical & Biomedical Engineering, Kangwon National University, Chuncheon, Republic of South Korea.
Ki Moo LimDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Gumi, Gyeongbuk, 39253, Republic of South Korea. kmlim@kumoh.ac.kr.
Kumoh National Institute of Technology · KRJohns Hopkins University · USKangwon National University · KR

Funding

Exploration of Arrhythmogenic Triggers and Substrates in Heart FailureR01HL126802 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI EFIMOV, IGOR R, GORELIK, JULIA · 2016 to 2019
$2.8M
Ministry of Science, ICT and Future Planning IITP-2017-2014-0-00639National Research Foundation of Korea 2016M3C1A6936607National Research Foundation of Korea 2016R1D1A1B0101440NHLBI NIH HHS R01 HL126802
6 · The paper itself

Abstract

Valvular insufficiency affects cardiac responses and the pumping efficacy of left ventricular assist devices (LVADs) when patients undergo LVAD therapy. Knowledge of the effect of valvular regurgitation on the function of LVADs is important when treating heart failure patients. The goal of this study was to examine the effect of valvular regurgitation on the ventricular mechanics of a heart under LVAD treatment and the pumping efficacy of an LVAD using a computational model of the cardiovascular system. For this purpose, a 3D electromechanical model of failing ventricles in a human heart was coupled with a lumped-parameter model of valvular regurgitation and an LVAD-implanted vascular system. We used the computational model to predict cardiac responses with respect to the severity of valvular regurgitation in the presence of LVAD treatment. An LVAD could reduce left ventricle (LV) pressure (up to 34%) and end-diastolic ventricular volume (up to 80%) and maintain cardiac output at the estimated flow rate from the LVAD under the condition of mitral regurgitation (MR); however, the opposite would occur under the condition of aortic regurgitation (AR). Considering these physiological responses, we conclude that AR, and not MR, diminishes the pumping function of LVADs.

Indexed as

Heart-Assist DevicesImaging, Three-DimensionalModels, CardiovascularAortic Valve InsufficiencyFinite Element AnalysisHeart VentriclesHumansMitral Valve InsufficiencyMyocardiumPressureComputational model cardiovascular systemLeft ventricular assist deviceValvular insufficiency

Identifiers

PMID29080191
PMCPMC5906511
OpenAlexW2765524747

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.