Evidence map›Paper›PMID 39768080›Full record

ArticleBioengineering (Basel, Switzerland)2024

Predicting the Impact of Polysulfone Dialyzers and Binder Dialysate Flow Rate on Bilirubin Removal.

Alexander Novokhodko, Nanye Du, Shaohang Hao, Ziyuan Wang, Zhiquan Shu, Suhail Ahmad, Dayong Gao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Alexander NovokhodkoMechanical Engineering, University of Washington (Seattle), 3900 E Stevens Way NE, Seattle, WA 98195-0001, USA.ORCID 0000-0002-8975-6730
Nanye DuMechanical Engineering, University of Washington (Seattle), 3900 E Stevens Way NE, Seattle, WA 98195-0001, USA.ORCID 0009-0000-8666-1229
Shaohang HaoMechanical Engineering, University of Washington (Seattle), 3900 E Stevens Way NE, Seattle, WA 98195-0001, USA.ORCID 0009-0001-4671-395X
Ziyuan WangMechanical Engineering, University of Washington (Seattle), 3900 E Stevens Way NE, Seattle, WA 98195-0001, USA.
Zhiquan ShuSchool of Engineering and Technology, University of Washington (Tacoma), 1900 Commerce Street, Tacoma, WA 98402-3100, USA.ORCID 0000-0002-9261-5832
Suhail AhmadSchool of Medicine, University of Washington (Seattle), 1959 N.E. Pacific Street-Box 356340, Seattle, WA 98195-6340, USA.
Dayong GaoMechanical Engineering, University of Washington (Seattle), 3900 E Stevens Way NE, Seattle, WA 98195-0001, USA.

Funding

Dempsey Startup Challenge 2nd Place, 2023Hollomon Health Innovation Challenge 2nd Place, 2023National Science Foundation DGE-1762114Ron and Wanda Crockett Endowed Fellowship in Mechanical Engineering 2020-2021
6 · The paper itself

Abstract

Liver failure is the 12th leading cause of death worldwide. Protein-bound toxins such as bilirubin are responsible for many complications of the disease. Binder dialysis systems use albumin or another binding molecule in dialysate and detoxifying sorbent columns to remove these toxins. Systems like the molecular adsorbent recirculating system and BioLogic-DT have existed since the 1990s, but survival benefits in randomized controlled trials have not been consistent. New binder dialysis systems, including open albumin dialysis and the Advanced Multi-Organ Replacement system, are being developed. Optimal conditions for binder dialysis have not been established. We developed and validated a computational model of bound solute dialysis. It predicted the impact of changing between two test setups using different polysulfone dialyzers (F3 and F6HPS). We then predicted the impact of varying the dialysate flow rate on toxin removal. We found that bilirubin removal declines with dialysate flow rate. This can be explained through a linear decline in free bilirubin membrane permeability. Our model quantifies this decline through a single parameter (polysulfone dialyzers). Validation for additional dialyzers and flow rates will be needed. This model will benefit clinical trials by predicting optimal dialyzer and flow rate conditions. Accounting for toxin adsorption onto the dialyzer membrane may improve results further.

Indexed as

albuminalbumin dialysiscomputational modelingdialysisliverliver dialysisliver failureordinary differential equations

Identifiers

PMID39768080
PMCPMC11673171

What OpenQuestion holds

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LicenceCC BY
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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.