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Blood flow analysis for prediction of pressure ulcer development using diffuse correlation spectroscopy

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EMBEC & NBC 2017 (EMBEC 2017, NBC 2017)

Abstract

Microcirculation is essential for supply of oxygen and nutrients to organ tissues as well as the removal of waste products of metabolism. Consequently, microcirculatory blood flow is of substantial interest to clinicians for assessing tissue health, particularly in regards to pressure injuries and suspected deep tissue injury. We used optical methods of noninvasive diffuse correlation spectroscopy (DCS) and diffuse near infrared spectroscopy (DNIRS) to predict the development of pressure injuries by measuring dermal and subcutaneous red cell motion. We recruited 14 rehabilitation patients with non blanchable redness in the sacrococcygeal area and 20 healthy volunteers from Magee Rehabilitation Hospital in Philadelphia, PA. Among the rehabilitation patients, 3 developed open pressure injuries (PO) within four weeks of enrolling while 11 patients did not (PNO). Our measurement protocol consisted of three stages in order to collect blood flow changes during baseline, applied body weight pressure, and released pressure stages. The characteristic time of DCS temporal correlation function scattered light intensity, \( \tau_{\exp } \), characterized the tissue blood flow and were compared for both patient groups. Results from baseline measurements showed \( \tau_{\exp } \) values approximately five times larger (p=0.0002) for POs compared with PNOs, suggesting POs have faster blood flow than PNOs in their respective areas of redness. Similar differences were obtain for two next monitoring stages. Preliminary results suggest the used method is able to accurately predict the progression of early stage pressure injuries in the sacrococcygeal area.

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References

  • 1. Papazoglou ES, et al. (2008) Changes in optical properties of tissue during acute wound healing in an animal model. J Biomed Opt. 13(4): p.044005.

    Google Scholar 

  • 2. Papazoglou ES, et al. (2009) Noninvasive assessment of diabetic foot ulcers with diffuse photon wave methodology: pilot human study. J Biomed Opt. 14(6): p.064032.

    Google Scholar 

  • 3. Weingarten MS, et al. (2012) Diffuse near-infrared spectroscopy prediction of healing in diabetic foot ulcers: A human study and cost analysis. Wound Repair Regen. 20: p.911-917.

    Google Scholar 

  • 4. National Pressure Ulcer Advisory Panel (NPUAP) announces a change in terminology from pressure ulcer to pressure injury and updates the stages of pressure injury. NPUAP, 2016.

    Google Scholar 

  • 5. Balzer, K., et al. (2007) The Norton, Waterlow, Braden, and Care Dependency Scales: Comparing Their Validity When Identifying Patients’ Pressure Sore Risk. Journal of Wound Ostomy & Continence Nursing. 34(4): p. 389-98.

    Google Scholar 

  • 6. Boas, D.A., et al. (1995) Scattering and imaging with diffusing temporal field correlations. Phys Rev Lett. 75(9), p. 1855.

    Google Scholar 

  • 7. Haskell, R.C., et al. (1994) Boundary conditions for the diffusion equation in radiative transfer. J Opt Soc Am A 11, 2727.

    Google Scholar 

  • 8. Pine, D.J., et al. (1988) Phys. Rev. Lett. 60(12), 1134 (1988).

    Google Scholar 

  • 9. Culver, J.P., et al. (2003) Diffuse optical tomography of cerebral blood flow, oxygenation, and metabolism in rat during focal ischemia. J Cereb Blood Flow Metab. 23(8): p. 911-924.

    Google Scholar 

  • 10. Fridolin, I, et al. (2000) Optical non-invasive technique for vessel imaging: II. A simplified photon diffusion analysis. Phys. Med. Biol. 45(12), 3779–3792.

    Google Scholar 

  • 11. Weiss, G. H., et al. (1989) Statistics of penetration depth of photons re-emitted from irradiated tissue. J. Mod. Opt. 36(3), 349–359.

    Google Scholar 

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Correspondence to Alec Lafontant .

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Lafontant, A. et al. (2018). Blood flow analysis for prediction of pressure ulcer development using diffuse correlation spectroscopy. In: Eskola, H., Väisänen, O., Viik, J., Hyttinen, J. (eds) EMBEC & NBC 2017. EMBEC NBC 2017 2017. IFMBE Proceedings, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-10-5122-7_122

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  • DOI: https://doi.org/10.1007/978-981-10-5122-7_122

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5121-0

  • Online ISBN: 978-981-10-5122-7

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