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Hybrid Equation/Agent-Based Model of Ischemia-Induced Hyperemia and Pressure Ulcer Formation Predicts Greater Propensity to Ulcerate in Subjects with Spinal Cord Injury

Solovyev, A and Mi, Q and Tzen, YT and Brienza, D and Vodovotz, Y (2013) Hybrid Equation/Agent-Based Model of Ischemia-Induced Hyperemia and Pressure Ulcer Formation Predicts Greater Propensity to Ulcerate in Subjects with Spinal Cord Injury. PLoS Computational Biology, 9 (5). ISSN 1553-734X

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Abstract

Pressure ulcers are costly and life-threatening complications for people with spinal cord injury (SCI). People with SCI also exhibit differential blood flow properties in non-ulcerated skin. We hypothesized that a computer simulation of the pressure ulcer formation process, informed by data regarding skin blood flow and reactive hyperemia in response to pressure, could provide insights into the pathogenesis and effective treatment of post-SCI pressure ulcers. Agent-Based Models (ABM) are useful in settings such as pressure ulcers, in which spatial realism is important. Ordinary Differential Equation-based (ODE) models are useful when modeling physiological phenomena such as reactive hyperemia. Accordingly, we constructed a hybrid model that combines ODEs related to blood flow along with an ABM of skin injury, inflammation, and ulcer formation. The relationship between pressure and the course of ulcer formation, as well as several other important characteristic patterns of pressure ulcer formation, was demonstrated in this model. The ODE portion of this model was calibrated to data related to blood flow following experimental pressure responses in non-injured human subjects or to data from people with SCI. This model predicted a higher propensity to form ulcers in response to pressure in people with SCI vs. non-injured control subjects, and thus may serve as novel diagnostic platform for post-SCI ulcer formation. © 2013 Solovyev et al.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Solovyev, A
Mi, QQi.Mi@pitt.eduQIM3
Tzen, YT
Brienza, DDBRIENZA@pitt.eduDBRIENZA
Vodovotz, Yvodovotz@pitt.eduVODOVOTZ
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
EditorPeirce, Shayn M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Centers: Other Centers, Institutes, or Units > McGowan Institute for Regenerative Medicine
Date: 1 May 2013
Date Type: Publication
Journal or Publication Title: PLoS Computational Biology
Volume: 9
Number: 5
DOI or Unique Handle: 10.1371/journal.pcbi.1003070
Schools and Programs: Dietrich School of Arts and Sciences > Mathematics
School of Health and Rehabilitation Sciences > Rehabilitation Science and Technology
School of Medicine > Surgery
Refereed: Yes
ISSN: 1553-734X
Date Deposited: 12 Jun 2013 20:48
Last Modified: 04 Feb 2019 15:58
URI: http://d-scholarship.pitt.edu/id/eprint/18835

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