Literature DB >> 32969163

Characterization of shape memory polymer foam hemostats in in vitro hemorrhagic wound models.

Nakira Christmas1, Anand Utpal Vakil1, Christopher J Hatch2, Shi Dong1, David Fikhman1, Henry T Beaman1, Mary Beth B Monroe1.   

Abstract

Shape memory polymer foam hemostats are a promising option for future hemorrhage control in battlefield wounds. To enable their use as hemostatic devices, they must be optimized in terms of formulation and architecture, and their safety and efficacy must be characterized in animal models. Relevant in vitro models can be used for device optimization to help mitigate the excess use of animals and reduce costs of clinical translation. In this work, a simplified gunshot wound model and a grade V liver injury model were constructed. The models were used to characterize the effects of shape memory polymer foam hemostat geometry on wall pressures, application/removal times, hemorrhage (fluid loss), and fluid absorption in comparison with clinical controls. It was found that there is no benefit in over-sizing the hemostatic device relative to wound volume and that geometry effects are dependent upon the wound type. These models provide a rapid means for elucidation of promising hemostat geometries and formulations for use in future in vivo testing.
© 2020 Wiley Periodicals LLC.

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Keywords:  hemostasis; in vitro; polyurethane(s); smart materials

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Year:  2020        PMID: 32969163     DOI: 10.1002/jbm.b.34732

Source DB:  PubMed          Journal:  J Biomed Mater Res B Appl Biomater        ISSN: 1552-4973            Impact factor:   3.368


  2 in total

1.  Biostable Shape Memory Polymer Foams for Smart Biomaterial Applications.

Authors:  Anand Utpal Vakil; Natalie Marie Petryk; Ellen Shepherd; Mary Beth B Monroe
Journal:  Polymers (Basel)       Date:  2021-11-24       Impact factor: 4.329

2.  Microcluster colloidosomes for hemostat delivery into complex wounds: A platform inspired by the attack action of torpedoes.

Authors:  Bitao Lu; Enling Hu; Ruiqi Xie; Kun Yu; Fei Lu; Rong Bao; Chenhui Wang; Guangqian Lan; Fangyin Dai
Journal:  Bioact Mater       Date:  2022-01-11
  2 in total

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