Evidence map›Paper›PMID 41772257›Full record

ArticleCardiovascular engineering and technology2026

Filling Fraction and Single Beat Method for Estimating Dead-Space Volume of Left Ventricle.

Melanie P Hager, George V Letsou, John C Criscione

Abstract read
In one paragraph

Article in Cardiovascular engineering and technology, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Melanie P HagerDepartment of Biomedical Engineering, Texas A&M University, 5045 Emerging Technologies Building, Office 1041J, 3120 TAMU, 101 Bizzell Street, College Station, TX, 77843, USA.
George V LetsouCollege of Medicine, University of Houston, 5055 Medical Circle, Houston, TX, 77204, USA.
John C CriscioneDepartment of Biomedical Engineering, Texas A&M University, 5045 Emerging Technologies Building, Office 1041J, 3120 TAMU, 101 Bizzell Street, College Station, TX, 77843, USA. jccrisione@tamu.edu.ORCID 0000-0002-5988-773X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of cardiac preload remains a clinical challenge, particularly in heart failure patients where preload manipulation is impractical or contraindicated. Ejection fraction (EF), while widely used, reflects a combination of preload, contractility, and afterload, and may obscure the specific contribution of preload. Inspired by a preload recruitable stroke work (PRSW) model for heart function, a concise, three factor expression for ejection fraction (EF) can be obtained where EF is directly proportional to preload, directly proportional to contractility, and inversely proportional to afterload. The contractility and afterload factors are common metrics; whereas the preload factor, filling fraction (FF), is a novel, dimensionless preload metric that sets a physiologic upperbound on EF. Unfortunately, FF measurement requires an estimate of the volume intercept or dead-space volume of the left ventricle, and such a measure has, conventionally, required preload manipulation with extrapolation to the volume axis. To address this, we propose a single-beat extrapolation method for estimating the volume intercept using end-diastolic and end-systolic measurements. In-silico testing across 10,000 synthetic left ventricular geometries demonstrates strong agreement between the estimated intercept and actual, prescribed dead-space volumes. This method enables non-invasive computation of FF from single-beat data without the need for in vivo preload manipulation. Potential clinical applications include characterizing cardiac function, stratifying heart failure subtypes, and enhancing diagnostic precision when EF is preserved but preload reserve is impaired. Future validation in clinical imaging datasets is warranted to assess real-world applicability.

Indexed as

Heart FailureHeart RateHeart VentriclesModels, CardiovascularMyocardial ContractionStroke VolumeVentricular Function, LeftComputer SimulationHumansPredictive Value of TestsContractilityDiastolic DysfunctionEjection FractionHFpEFHFrEFPreloadSystolic Dysfunction

Identifiers

PMID41772257
PMCPMC13102796

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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.