Evidence map›Paper›PMID 42550388›Full record

ArticleAnnals of biomedical engineering2026

Developing a Digital Twin of the Cardiopulmonary System in a Mouse: Inferring Hemodynamics from Sparse Measurements.

Vitaly O Kheyfets, Kenzo Ichimura, Paul M Heerdt, Mengqian Zhang, Ella Lyon, Kurt R Stenmark, Edda Spiekerkoetter

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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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

7 authors.

Vitaly O KheyfetsPediatric Critical Care Medicine, Developmental Lung Biology and CVP Research Laboratories, School of Medicine, University of Colorado, Aurora, CO, USA. vitaly.kheyfets@cuanschutz.edu.ORCID http://orcid.org/0000-0002-3466-1910
Kenzo IchimuraDivision of Pulmonary, Allergy and Critical Care Medicine, Stanford University, Stanford, CA, USA.
Paul M HeerdtDepartment of Anesthesiology, Applied Hemodynamics, Yale School of Medicine, New Haven, CT, USA.
Mengqian ZhangPediatric Critical Care Medicine, Developmental Lung Biology and CVP Research Laboratories, School of Medicine, University of Colorado, Aurora, CO, USA.
Ella LyonPediatric Critical Care Medicine, Developmental Lung Biology and CVP Research Laboratories, School of Medicine, University of Colorado, Aurora, CO, USA.
Kurt R StenmarkPediatric Critical Care Medicine, Developmental Lung Biology and CVP Research Laboratories, School of Medicine, University of Colorado, Aurora, CO, USA.
Edda SpiekerkoetterDivision of Pulmonary, Allergy and Critical Care Medicine, Stanford University, Stanford, CA, USA.

Funding

What triggers RV Fiber Re-Orientation in response to RV pressure overload, and what is its Consequence on Inter-Ventricular Decoupling?R01HL152250 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Vitaly Kheyfets · 2023 to 2026
$1.9M
NHLBI Division of Intramural Research HL152250NHLBI Division of Intramural Research HL158868NHLBI NIH HHS R01 HL152250
6 · The paper itself

Abstract

purposeThe use of rodent models in the study of cardiopulmonary disease is widespread, but comprehensive functional and hemodynamic characterization of the cardiopulmonary system in each rodent is often impractical and may require integration of multimodal measurements. The objective of this study is to evaluate a 0D cardiopulmonary model for simulating mouse-specific physiology and inferring individualized parameters.

methodsWe developed a 0D model of the cardiopulmonary axis, bounded by the right and left atria, incorporating 13 unknown parameters representing vascular impedance, RV pressure (RVP)-volume dynamics, and tricuspid/pulmonic valve regurgitation. The model fitted RVP and volume data from 28 mice across four surgical conditions, including two scenarios of mechanically induced RVP overload. Sensitivity and identifiability analyses revealed a reduced subset of nine parameters that were structurally and practically identifiable.

resultsOptimization of the identifiable parameters adequately reproduced RVP waveforms (r = 0.94 for maximum dP/dt with LOA < 1 mmHg s DISCUSSION: This study demonstrates that subject-specific computational modeling enables inference of ventricular function and pulmonary hemodynamics from RV pressure and volume data. This approach provides access to otherwise unmeasurable quantities and lays the groundwork for digital twins to support disease tracking and in silico testing of interventions.

Indexed as

0D modelIdentifiability analysisOptimizationPulmonary hypertensionRight ventricle

Identifiers

PMID42550388

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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.