Evidence map›Paper›PMID 40381185›Full record

ArticleJournal of biomechanical engineering2025

Experiments and Simulations to Assess Exercise-Induced Pressure Drop Across Aortic Coarctations.

Priya J Nair, Emanuele Perra, Doff B McElhinney, Alison L Marsden, Daniel B Ennis, Seraina A Dual

Abstract read
In one paragraph

Article in Journal of biomechanical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Technological evolution ofFrontiers in physiology · 2025
    Review
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.

Priya J NairDepartment of Bioengineering, Stanford University, Stanford, CA 94305.ORCID 0000-0001-6326-9777
Emanuele PerraDepartment of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm 11428, Sweden.
Doff B McElhinneyDepartment of Pediatrics-Cardiology, Stanford University, Stanford, CA 94305;Department of Cardiothoracic Surgery, Stanford University, Stanford, CA 94305.
Alison L MarsdenDepartment of Pediatrics-Cardiology, Stanford University, Stanford, CA 94305;Department of Bioengineering, Stanford University, Stanford, CA 94305.
Daniel B EnnisDepartment of Radiology, Stanford University, Stanford, CA 94305;Division of Radiology, VA Palo Alto Healthcare System, Palo Alto, CA 94304.
Seraina A DualDepartment of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm 11428, Sweden.ORCID 0000-0001-6867-8270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood pressure gradient (ΔP) across an aortic coarctation (CoA) is an important measurement to diagnose CoA severity and guide treatment. While invasive cardiac catheterization is the clinical gold-standard for measuring ΔP, it requires anesthesia and does not capture the effects of daily activity or exercise, potentially underestimating the disease's functional burden. This study aimed to identify patients with functionally significant CoA by evaluating exercise-induced ΔP using a hybrid mock circulatory loop (HMCL). Patient-specific aorta geometries (N = 5) of patients with CoA were generated from 4D-Flow magnetic resonance imaging (MRI) scans, then three dimensional (3D)-printed to create compliant aortic phantoms. The phantoms were incorporated into an HMCL with flow and pressure waveforms tuned to patient-specific rest and exercise states. Matched fluid-structure interaction (FSI) simulations were performed using simvascular for comparison. Results showed that mean ΔP increased nonlinearly with cardiac output (CO), with trends differing between patients. HMCL and FSI simulations exhibited excellent agreement in trends of ΔP change with CO, with minimal error of 1.6±1.1 mmHg. This study emphasizes the need for assessing exercise CoA hemodynamics beyond resting ΔP measurements. Overall, HMCLs and FSI simulations enable assessment of patient-specific hemodynamic response to exercise unattainable in clinical practice, thereby facilitating a comprehensive noninvasive assessment of CoA severity. Further, the excellent agreement between HMCL and FSI results indicates that our validated FSI approach can be used independently to assess exercise CoA hemodynamics hereafter, eliminating the need for repeated complex HMCL experiments.

Indexed as

Aortic CoarctationBlood PressureExerciseModels, CardiovascularAortaFemaleHumansMagnetic Resonance ImagingMalePhantoms, Imagingaortic coarctationfluid–structure interactionhybrid mock circulatory looppressure drop

Identifiers

PMID40381185
PMCPMC12502045

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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.