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Ischemia‐reperfusion injury in chronic pressure ulcer formation: A skin model in the rat

Peirce, Shayn M, Skalak, Thomas C, Rodeheaver, George T·2000·Wound Repair and Regeneration

Abstract

Most animal models of chronic pressure ulcers were designed to study only the role of ischemic injury in wound formation, often using single applications of constant pressure. The purpose of this study was to develop and characterize a reproducible model of cyclic ischemia‐reperfusion injury in the skin of small un‐anesthetized animals using clinically relevant pressures and durations. Ischemia‐reperfusion injury was created in a 9 cm 2 region of dorsal skin in male rats by periodically compressing skin under a pressure of 50 mm Hg using an implanted metal plate and an overlying magnet. We varied the total number of ischemia‐reperfusion cycles, examined the effect of varying the frequency and duration of ischemic insult, and compared ischemia‐induced injury to ischemia‐reperfusion‐induced injury with this model. Tissue injury increased with an increasing number of total ischemia‐reperfusion cycles, duration of ischemia, and frequency of ischemia‐reperfusion cycles. This model generates reproducible ischemia‐reperfusion skin injury as characterized by tissue necrosis, wound thickness, leukocyte infiltration, transcutaneous oxygen tension, and wound blood flow. Using this model, the biological markers of ischemia‐reperfusion‐induced wound development can be studied and therapeutic interventions can be evaluated in a cost‐effective manner.

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Crossref · 10.1046/j.1524-475x.2000.00068.x

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Metadata

Authors
Peirce, S. M., Skalak, T. C., & Rodeheaver, G. T.
Venue
Wound Repair and Regeneration
Publisher
Wiley
Published
2000-01
Volume
8
Issue
1
Pages
68-76
ISSN
  • 1067-1927 (ISSN-L)
  • 1524-475X
OpenAlex
W2132691812
Cited by
328
References
0
FWCI
22.46
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.