title: Skin blood flow dynamics and its role in pressure ulcers.
abstract: Pressure ulcers are a significant healthcare problem affecting the quality of life in wheelchair bounded or bed-ridden people and are a major cost to the healthcare system. Various assessment tools such as the Braden scale have been developed to quantify the risk level of pressure ulcers. These tools have provided an initial guideline on preventing pressure ulcers while additional assessments are needed to improve the outcomes of pressure ulcer prevention. Skin blood flow function that determines the ability of the skin in response to ischemic stress has been proposed to be a good indicator for identifying people at risk of pressure ulcers. Wavelet spectral and nonlinear complexity analyses have been performed to investigate the influences of the metabolic, neurogenic and myogenic activities on microvascular regulation in people with various pathological conditions. These findings have contributed to the understanding of the role of ischemia and viability on the development of pressure ulcers. The purpose of the present review is to provide an introduction of the basic concepts and approaches for the analysis of skin blood flow oscillations, and present an overview of the research results obtained so far. We hope this information may contribute to the development of better clinical guidelines for the prevention of pressure ulcers.
authors.affiliation: Rehabilitation Research Laboratory, Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL 61822, USA.
authors.forename: Fuyuan
authors.initials: F
authors.lastname: Liao
authors.forename: Stephanie
authors.initials: S
authors.lastname: Burns
authors.forename: Yih-Kuen
authors.initials: YK
authors.lastname: Jan
mesh_terms: D006801:Humans; D008955:Models, Cardiovascular; D017711:Nonlinear Dynamics; D003668:Pressure Ulcer / Q000503:physiopathology*; D012039:Regional Blood Flow / Q000502:physiology*; D012867:Skin / Q000098:blood supply*; D058067:Wavelet Analysis