Evidence map›Paper›PMID 30408044›Full record

ArticlePloS one2018

Patient-specific modeling of right coronary circulation vulnerability post-liver transplant in Alagille's syndrome.

Miguel Silva Vieira, Christopher J Arthurs, Tarique Hussain, Reza Razavi, Carlos Alberto Figueroa

Abstract readCase Reports
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Review
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  6. Tissue engineering. Part C, Methods · 2021
    Review
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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

5 authors.

Miguel Silva VieiraDivision of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.ORCID 0000-0002-7937-9310
Christopher J ArthursDivision of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.
Tarique HussainDepartment of Pediatrics, University of Texas Southwestern Medical Center at Dallas, United States of America.
Reza RazaviDivision of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.
Carlos Alberto FigueroaDivision of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.ORCID 0000-0002-3934-6506

Funding

Department of Health [UK]
6 · The paper itself

Abstract

objectivesCardiac output (CO) response to dobutamine can identify Alagille's syndrome (ALGS) patients at higher risk of cardiovascular complications during liver transplantation. We propose a novel patient-specific computational methodology to estimate the coronary autoregulatory responses during different hemodynamic conditions, including those experienced in a post-reperfusion syndrome (PRS), to aid cardiac risk-assessment. MATERIAL AND

methodsData (pressure, flow, strain and ventricular volumes) from a 6-year-old ALGS patient undergoing catheter/dobutamine stress MRI (DSMRI) were used to parameterize a closed-loop coupled-multidomain (3D-0D) approach consisting of image-derived vascular models of pulmonary and systemic circulations and a series of 0D-lumped parameter networks (LPN) of the heart chambers and the distal arterial and venous circulations. A coronary microcirculation control model (CMCM) was designed to adjust the coronary resistance to match coronary blood flow (and thus oxygen delivery) with MVO2 requirements during Rest, Stress and a virtual PRS condition.

resultsIn all three simulated conditions, diastolic dominated right coronary artery (RCA) flow was observed, due to high right ventricle (RV) afterload. Despite a measured 45% increase in CO, impaired coronary flow reserve (CFR) (~1.4) at Stress was estimated by the CMCM. During modeled PRS, a marked vasodilatory response was insufficient to match RV myocardial oxygen requirements. Such exhaustion of the RCA autoregulatory response was not anticipated by the DSMRI study.

conclusionImpaired CFR undetected by DSMRI resulted in predicted myocardial ischemia in a computational model of PRS. This computational framework may identify ALGS patients at higher risk of complications during liver transplantation due to impaired coronary microvascular responses.

Indexed as

Patient-Specific ModelingAlagille SyndromeCardiac OutputCatheterizationChildCoronary CirculationCoronary VesselsEchocardiography, StressHeartHumansLiver TransplantationMaleModels, CardiovascularMyocardial IschemiaMyocardial ReperfusionRegional Blood Flow

Identifiers

PMID30408044
PMCPMC6224049

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Registered trials

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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.