Evidence map›Paper›PMID 26578003›Full record

ArticleBiomedical microdevices2015

Microfluidic emulation of mechanical circulatory support device shear-mediated platelet activation.

Annalisa Dimasi, Marco Rasponi, Jawaad Sheriff, Wei-Che Chiu, Danny Bluestein, Phat L Tran, Marvin J Slepian, Alberto Redaelli

Abstract read
In one paragraph

Article in Biomedical microdevices, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Influence of Hematocrit Level and Integrin αCellular and molecular bioengineering · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Engineered Microvessels for the Study of Human Disease.Journal of biomechanical engineering · 2016
    Review
  12. Article
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

8 authors.

Annalisa DimasiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, 20133, Italy.
Marco RasponiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, 20133, Italy.
Jawaad SheriffDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794-8151, USA.
Wei-Che ChiuDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794-8151, USA.
Danny BluesteinDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794-8151, USA.
Phat L TranDepartment of Medicine and Biomedical Engineering, Sarver Heart Center, University of Arizona, 1501 North Campbell Avenue, Tucson, AZ, 85724, USA.
Marvin J SlepianDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794-8151, USA. chairman.syns@gmail.com.
Alberto RedaelliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, 20133, Italy.

Funding

Optimizing Cardiovascular Device Thromboresistance for Eliminating AnticoagulantsU01EB012487 · NIBIB · STATE UNIVERSITY NEW YORK STONY BROOK · PI BLUESTEIN, DANNY · 2010 to 2014
$6.9M
NIBIB NIH HHS U01 EB012487
6 · The paper itself

Abstract

Thrombosis of ventricular assist devices (VADs) compromises their performance, with associated risks of systemic embolization, stroke, pump stop and possible death. Anti-thrombotic (AT) drugs, utilized to limit thrombosis, are largely dosed empirically, with limited testing of their efficacy. Further, such testing, if performed, typically examines efficacy under static conditions, which is not reflective of actual shear-mediated flow. Here we adopted our previously developed Device Thrombogenicity Emulation methodology to design microfluidic platforms able to emulate representative shear stress profiles of mechanical circulatory support (MCS) devices. Our long-term goal is to utilize these systems for point-of-care (POC) personalized testing of AT efficacy under specific, individual shear profiles. First, we designed different types of microfluidic channels able to replicate sample shear stress patterns observed in MCS devices. Second, we explored the flexibility of microfluidic technology in generating dynamic shear stress profiles by modulating the geometrical features of the channels. Finally, we designed microfluidic channel systems able to emulate the shear stress profiles of two commercial VADs. From CFD analyses, the VAD-emulating microfluidic systems were able to replicate the main characteristics of the shear stress waveforms of the macroscale VADs (i.e., shear stress peaks and duration). Our results establish the basis for development of a lab-on-chip POC system able to perform device-specific and patient-specific platelet activation state assays.

Indexed as

MicrofluidicsPlatelet ActivationBlood PlateletsComputational BiologyEquipment DesignFeasibility StudiesHeart-Assist DevicesHumansLab-On-A-Chip DevicesPoint-of-Care SystemsStress, MechanicalThrombosisAnti-thrombotic therapyComputational fluid dynamicsMechanical circulatory supportMicrofluidicsThrombosisVentricular assist devices

Identifiers

PMID26578003
PMCPMC4855287

What OpenQuestion holds

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Registered trials

None linked

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.