Evidence map›Paper›PMID 39562410›Full record

ArticleAnnals of biomedical engineering2025

Clinical Validation of Non-invasive Simulation-Based Determination of Vascular Impedance, Wave Intensity, and Hydraulic Work in Patients Undergoing Transcatheter Aortic Valve Replacement.

Jonathan Y Brown, Gabriela Veiga Fernandez, Jose M De La Torre Hernández, Michael Murphy, Benjamin S Wessler, Elazer R Edelman

Abstract readValidation Study
In one paragraph

Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jonathan Y BrownInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Ave Building E25-RM442, Cambridge, MA, USA. brownjy@mit.edu.ORCID http://orcid.org/0000-0002-4821-832X
Gabriela Veiga FernandezCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Jose M De La Torre HernándezCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Michael MurphyInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Ave Building E25-RM442, Cambridge, MA, USA.
Benjamin S WesslerClinical and Translation Science Institute, Tufts University, Boston, MA, USA.
Elazer R EdelmanInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, 77 Massachusetts Ave Building E25-RM442, Cambridge, MA, USA.

Funding

Personalized lesion modification optimizes atherosclerosis interventionR01HL161069 · NHLBI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI EDELMAN, ELAZER R · 2022 to 2025
$2.8M
Palliative Care for High-Risk TAVR Patients: The Impact of MultimorbidityK23AG055667 · NIA · TUFTS MEDICAL CENTER · PI WESSLER, BENJAMIN SETH · 2018 to 2022
$948k
NHLBI NIH HHS R01 HL161069NIA NIH HHS K23 AG055667NIH HHS R01HL161069-01
6 · The paper itself

Abstract

purposeThe impact of Aortic Stenosis (AS) on the left ventricle (LV) extends beyond the influence of the pressure drop across the stenotic valve, but also includes the additional serial afterload imposed by the vascular system. Aortic input impedance is the gold standard for comprehensively studying the contribution of the vascular system to total myocardial afterload, but in the past measurement has been challenging arising from the need for invasive catheterization or specialized equipment to precisely record time-resolved blood pressure and flow signals. The goal of this work was to develop and validate a novel simulation-based method for determining aortic input impedance using only clinically available echocardiographic data and a simple blood pressure measurement.

methodsA simulation-based method to determine vascular impedance was developed using echocardiographic data and a brachial blood pressure measurement. Simulation-based impedance was compared to impedance calculated from echocardiographic flow data and pressure data from a non-invasive central pressure measurement device.

resultsIn validation analysis comparing patient-specific simulation-based vascular impedance to non-invasively measured impedance, correlation between methods across a range of vascular parameters varied between R

conclusionsRequiring only non-invasive clinical data that are widely available, simulation-based vascular impedance has the potential to allow for easier, more widespread, and larger-scale investigation of the effect of vascular impedance on total LV afterload.

Indexed as

Aortic ValveAortic Valve StenosisModels, CardiovascularTranscatheter Aortic Valve ReplacementVascular ResistanceAgedAged, 80 and overBlood PressureEchocardiographyFemaleHumansMaleAortic input impedanceAortic stenosisNon-invasiveSimulationVascular afterload

Identifiers

PMID39562410
PMCPMC11805843

What Socratic holds

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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 Socratic graph.