Evidence map›Paper›PMID 38930760›Full record

ArticleMicromachines2024

Empirical and Computational Evaluation of Hemolysis in a Microfluidic Extracorporeal Membrane Oxygenator Prototype.

Nayeem Imtiaz, Matthew D Poskus, William A Stoddard, Thomas R Gaborski, Steven W Day

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Review
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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

5 authors.

Nayeem ImtiazRochester Institute of Technology, Kate Gleason College of Engineering, Rochester, NY 14623, USA.ORCID 0009-0001-4884-8487
Matthew D PoskusDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID 0000-0003-3633-0987
William A StoddardRochester Institute of Technology, Kate Gleason College of Engineering, Rochester, NY 14623, USA.ORCID 0000-0001-9785-8959
Thomas R GaborskiRochester Institute of Technology, Kate Gleason College of Engineering, Rochester, NY 14623, USA.ORCID 0000-0002-3676-3208
Steven W DayRochester Institute of Technology, Kate Gleason College of Engineering, Rochester, NY 14623, USA.ORCID 0000-0002-7211-6745

Funding

Quantifying the Effects of Shear Flow on Blood using a Magnetically Levitated DeviceR16GM153645 · NIGMS · ROCHESTER INSTITUTE OF TECHNOLOGY · PI Steven Day · 2024 to 2026
$439k
Development of Blood Delivery Networks for Silicon Nanomembrane-Enabled Low-Volume Membrane OxygenatorsR21HL156143 · NHLBI · ROCHESTER INSTITUTE OF TECHNOLOGY · PI DAY, STEVEN, ROUSSIE, JAMES ANDREW · 2021 to 2022
$407k
NHLBI NIH HHS R21 HL156143NIGMS NIH HHS R16 GM153645
6 · The paper itself

Abstract

Microfluidic devices promise to overcome the limitations of conventional hemodialysis and oxygenation technologies by incorporating novel membranes with ultra-high permeability into portable devices with low blood volume. However, the characteristically small dimensions of these devices contribute to both non-physiologic shear that could damage blood components and laminar flow that inhibits transport. While many studies have been performed to empirically and computationally study hemolysis in medical devices, such as valves and blood pumps, little is known about blood damage in microfluidic devices. In this study, four variants of a representative microfluidic membrane-based oxygenator and two controls (positive and negative) are introduced, and computational models are used to predict hemolysis. The simulations were performed in ANSYS Fluent for nine shear stress-based parameter sets for the power law hemolysis model. We found that three of the nine tested parameters overpredict (5 to 10×) hemolysis compared to empirical experiments. However, three parameter sets demonstrated higher predictive accuracy for hemolysis values in devices characterized by low shear conditions, while another three parameter sets exhibited better performance for devices operating under higher shear conditions. Empirical testing of the devices in a recirculating loop revealed levels of hemolysis significantly lower (<2 ppm) than the hemolysis ranges observed in conventional oxygenators (>10 ppm). Evaluating the model's ability to predict hemolysis across diverse shearing conditions, both through empirical experiments and computational validation, will provide valuable insights for future micro ECMO device development by directly relating geometric and shear stress with hemolysis levels. We propose that, with an informed selection of hemolysis parameters based on the shear ranges of the test device, computational modeling can complement empirical testing in the development of novel high-flow blood-contacting microfluidic devices, allowing for a more efficient iterative design process. Furthermore, the low device-induced hemolysis measured in our study at physiologically relevant flow rates is promising for the future development of microfluidic oxygenators and dialyzers.

Indexed as

CFDcomputational modelinghemolysismicrofluidicsmulti-physics modelingUDF

Identifiers

PMID38930760
PMCPMC11205701

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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.