Evidence map›Paper›PMID 42743425›Full record

ArticleThe journal of extra-corporeal technology2026

Expected drainage pressures on extracorporeal membrane oxygenation based on in-vitro modeling of pressure-flow variables.

Yeu Sanz Wu, Caitlin J Cain-Trivette, Samantha Lai, Caleb Varner, Kenmond Fung, Weijia Fan, Jimmy Duong, Bin Cheng, Nicholas Schmoke, Christopher Nemeh and 2 more

Abstract read
In one paragraph

Article in The journal of extra-corporeal 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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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

12 authors.

Yeu Sanz WuDivision of Pediatric Surgery, Columbia University Irving Medical Center/New York Presbyterian Morgan Stanley Children's Hospital, New York, NY, USA.ORCID 0009-0005-3224-3204
Caitlin J Cain-TrivetteDivision of Pediatric Surgery, Columbia University Irving Medical Center/New York Presbyterian Morgan Stanley Children's Hospital, New York, NY, USA.
Samantha LaiColumbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
Caleb VarnerDepartment of Clinical Perfusion, New York Presbyterian Morgan Stanley Children's Hospital, New York, NY, USA.
Kenmond FungDepartment of Clinical Perfusion, New York Presbyterian Morgan Stanley Children's Hospital, New York, NY, USA.
Weijia FanDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Jimmy DuongDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Bin ChengDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Nicholas SchmokeDivision of Pediatric Surgery, Columbia University Irving Medical Center/New York Presbyterian Morgan Stanley Children's Hospital, New York, NY, USA.ORCID 0000-0003-4257-0135
Christopher NemehDivision of Pediatric Surgery, Columbia University Irving Medical Center/New York Presbyterian Morgan Stanley Children's Hospital, New York, NY, USA.ORCID 0000-0002-3516-6719
William MiddlesworthDivision of Pediatric Surgery, Columbia University Irving Medical Center/New York Presbyterian Morgan Stanley Children's Hospital, New York, NY, USA.
Vincent DuronDivision of Pediatric Surgery, Columbia University Irving Medical Center/New York Presbyterian Morgan Stanley Children's Hospital, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPressure readings used in extracorporeal membrane oxygenation (ECMO) guide a variety of clinical interventions. However, several factors affect the accuracy of these measurements. We aimed to determine a model to mathematically predict expected pressure readings for different pediatric ECMO cannulae.

methodsWe assembled an in-vitro circuit simulating those used clinically. Flow (mL/min) was adjusted, and the corresponding pressure drop (mm Hg) across the cannula was documented for various Medtronic Bio-medicus

resultsThe relationship between flow and pressure drops across different cannulae and at different Hct levels was graphed and analyzed. At the same flow, larger cannula size corresponded to smaller drops in pressure, and increased viscosity corresponded to larger drops in pressure. Using regression models of the experimental data, we estimated five exponential equations that include Hct and flow to predict the expected pressure drop for different pediatric ECMO cannulae. There was high variability in data among patients, with significant differences between clinically observed and expected pressures.

conclusionOur models derived from in-vitro experimentation are the first steps towards defining the pressure-flow relationship and validating drainage pressure as a surrogate measure of intravascular volume for critically ill patients on ECMO. Further studies are still needed to refine these models and validate their clinical applicability.

Indexed as

DrainageExtracorporeal Membrane OxygenationModels, CardiovascularCannulaComputer SimulationEquipment DesignHumansPressureCircuit flowDrainage pressureECMO cannulaIntravascular volumeMathematical modelOutflow pressurePediatric ECMOPressure drop

Identifiers

PMID42743425
PMCPMC13577618

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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.