Evidence map›Paper›PMID 31153701›Full record

ArticleJournal of vascular surgery2020

Computational analysis of renal artery flow characteristics by modeling aortoplasty and aortic bypass interventions for abdominal aortic coarctation.

Christopher Tossas-Betancourt, Theodorus M J van Bakel, Christopher J Arthurs, Dawn M Coleman, Jonathan L Eliason, C Alberto Figueroa, James C Stanley

Open access · greenAbstract readCase Reports
In one paragraph

Article in Journal of vascular surgery, 2020. 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
2.6field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Christopher Tossas-BetancourtDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Mich.
Theodorus M J van BakelDepartment of Surgery, University of Michigan, Ann Arbor, Mich.
Christopher J ArthursDivision of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Dawn M ColemanDepartment of Surgery, University of Michigan, Ann Arbor, Mich.
Jonathan L EliasonDepartment of Surgery, University of Michigan, Ann Arbor, Mich.
C Alberto FigueroaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Mich; Department of Surgery, University of Michigan, Ann Arbor, Mich. Electronic address: figueroc@med.umich.edu.
James C StanleyDepartment of Surgery, University of Michigan, Ann Arbor, Mich.
University of Michigan · USKing's College London · GB

Funding

Mechanisms Underlying The Progression of Large Artery Stiffness in HypertensionR01HL105297 · NHLBI · YALE UNIVERSITY · PI FIGUEROA, CARLOS ALBERTO, HUMPHREY, JAY D. · 2010 to 2019
$3.0M
Image-based Multi-scale Modeling Framework of the Cardiopulmonary System: Longitudinal Calibration and Assessment of Therapies in Pediatric Pulmonary HypertensionU01HL135842 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAEK, SEUNGIK, DORFMAN, ADAM LEE · 2017 to 2020
$2.3M
NHLBI NIH HHS R01 HL105297NHLBI NIH HHS U01 HL135842
6 · The paper itself

Abstract

objectiveSuprarenal abdominal aortic coarctation (SAAC) alters flow and pressure patterns to the kidneys and is often associated with severe angiotensin-mediated hypertension refractory to drug therapy. SAAC is most often treated by a thoracoabdominal bypass (TAB) or patch aortoplasty (PA). It is currently unclear what effect these interventions have on renal flow and pressure waveforms. This study, using retrospective data from a patient with SAAC subjected to a TAB, undertook computational modeling to analyze aortorenal blood flow preoperatively as well as postoperatively after a variety of TAB and PA interventions.

methodsPatient-specific anatomic models were constructed from preoperative computed tomography angiograms of a 9-year-old child with an isolated SAAC. Fluid-structure interaction (FSI) simulations of hemodynamics were performed to analyze preoperative renal flow and pressure waveforms. A parametric study was then performed to examine the hemodynamic impact of different bypass diameters and patch oversizing.

resultsPreoperative FSI results documented diastole-dominated renal perfusion with considerable high-frequency disturbances in blood flow and pressure. The postoperative TAB right and left kidney volumes increased by 58% and 79%, respectively, reflecting the increased renal artery blood flows calculated by the FSI analysis. Postoperative increases in systolic flow accompanied decreases in high-frequency disturbances, aortic pressure, and collateral flow after all surgical interventions. In general, lesser degrees of high-frequency disturbances followed PA interventions. High-frequency disturbances were eliminated with the 0% PA in contrast to the 30% and 50% PA oversizing and TAB interventions, in which these flow disturbances remained.

conclusionsBoth TAB and PA dramatically improved renal artery flow and pressure waveforms, although disturbed renal waveforms remained in many of the surgical scenarios. Importantly, only the 0% PA oversizing scenario eliminated all high-frequency disturbances, resulting in nearly normal aortorenal blood flow. The study also establishes the relevance of patient-specific computational modeling in planning interventions for the midaortic syndrome.

Indexed as

Patient-Specific ModelingAorta, AbdominalAortic CoarctationChildFemaleHumansRegional Blood FlowRenal ArteryRenal CirculationRetrospective StudiesVascular Surgical ProceduresCFDHigh-frequency disturbancesOptimal surgical repairPatient-specific modeling

Identifiers

PMID31153701
PMCPMC8409007
OpenAlexW2888670702

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.