Evidence map›Paper›PMID 32653292›Full record

ArticleThe Journal of thoracic and cardiovascular surgery2021

Use of patient-specific computational models for optimization of aortic insufficiency after implantation of left ventricular assist device.

Patpilai Kasinpila, Sandra Kong, Robyn Fong, Rohan Shad, Alexander D Kaiser, Alison L Marsden, Y Joseph Woo, William Hiesinger

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of thoracic and cardiovascular surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Heart transplantation following a successful bridge-to-bridge strategy in acute type A aortic dissection with left main coronary malperfusion.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2026
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Aortic valve disorders and left ventricular assist devices.Frontiers in cardiovascular medicine · 2023
    Review
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  13. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Patpilai KasinpilaDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif.
Sandra KongDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif.
Robyn FongDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif.
Rohan ShadDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif.
Alexander D KaiserDepartment of Bioengineering, Stanford University, Stanford, Calif; Department of Pediatrics (Cardiology), Stanford University, Stanford, Calif.
Alison L MarsdenDepartment of Pediatrics (Cardiology), Stanford University, Stanford, Calif; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, Calif.
Y Joseph WooDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif.
William HiesingerDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, Calif. Electronic address: Willhies@stanford.edu.
Stanford University · US

Funding

T32 Training Program in Mechanisms and Innovation in Vascular DiseaseT32HL098049 · NHLBI · STANFORD UNIVERSITY · PI Nicholas James Leeper, Philip S Tsao · 2010 to 2026
$6.3M
NHLBI NIH HHS T32 HL098049
6 · The paper itself

Abstract

objectiveAortic incompetence (AI) is observed to be accelerated in the continuous-flow left ventricular assist device (LVAD) population and is related to increased mortality. Using computational fluid dynamics (CFD), we investigated the hemodynamic conditions related to the orientation of the LVAD outflow in these patients.

methodWe identified 10 patients with new aortic regurgitation, and 20 who did not, after LVAD implantation between 2009 and 2018. Three-dimensional models of patients' aortas were created from their computed tomography scans. The geometry of the LVAD outflow graft in relation to the aorta was quantified using azimuth angles (AA), polar angles (PAs), and distance from aortic root. The models were used to run CFD simulations, which calculated the pressures and wall shear stress (rWSS) exerted on the aortic root.

resultsThe AA and PA were found to be similar. However, for combinations of high values of AA and low values of PA, there were no patients with AI. The distance from aortic root to the outflow graft was also smaller in patients who developed AI (3.39 ± 0.7 vs 4.07 ± 0.77 cm, P = .04). There was no significant difference in aortic root pressures in the 2 groups. The rWSS was greater in AI patients (4.60 ± 5.70 vs 2.37 ± 1.20 dyne/cm

conclusionsUsing CFD simulations, we demonstrated that patients who developed de novo AI have greater rWSS at the aortic root, and their outflow grafts were placed closer to the aortic roots than those patients without de novo AI.

Indexed as

Heart-Assist DevicesHemodynamicsModels, CardiovascularPatient-Specific ModelingProsthesis ImplantationVentricular Function, LeftAdultAgedAortaAortic ValveAortic Valve InsufficiencyAortographyComputed Tomography AngiographyFemaleHeart FailureHumansaortic incompetencecomputational fluid dynamicsheart failureleft ventricular assist deviceSimVascular

Identifiers

PMID32653292
PMCPMC7666659
OpenAlexW3024941480

What OpenQuestion holds

Textmetadata
LicenceTDM
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.