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Enabling the assessment of trauma-induced hemorrhage via smart wearable systems.


ABSTRACT: As the leading cause of trauma-related mortality, blood loss due to hemorrhage is notoriously difficult to triage and manage. To enable timely and appropriate care for patients with trauma, this work elucidates the externally measurable physiological features of exsanguination, which were used to develop a globalized model for assessing blood volume status (BVS) or the relative severity of blood loss. These features were captured via both a multimodal wearable system and a catheter-based reference and used to accurately infer BVS in a porcine model of hemorrhage (n = 6). Ultimately, high-level features of cardiomechanical function were shown to strongly predict progression toward cardiovascular collapse and used to estimate BVS with a median error of 15.17 and 18.17% for the catheter-based and wearable systems, respectively. Exploring the nexus of biomedical theory and practice, these findings lay the groundwork for digital biomarkers of hemorrhage severity and warrant further study in human subjects.

SUBMITTER: Zia J 

PROVIDER: S-EPMC7375804 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Enabling the assessment of trauma-induced hemorrhage via smart wearable systems.

Zia Jonathan J   Kimball Jacob J   Rolfes Christopher C   Hahn Jin-Oh JO   Inan Omer T OT  

Science advances 20200722 30


As the leading cause of trauma-related mortality, blood loss due to hemorrhage is notoriously difficult to triage and manage. To enable timely and appropriate care for patients with trauma, this work elucidates the externally measurable physiological features of exsanguination, which were used to develop a globalized model for assessing blood volume status (BVS) or the relative severity of blood loss. These features were captured via both a multimodal wearable system and a catheter-based referen  ...[more]

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