Paper
26 October 2007 Optical indicators of baseline blood status in dialysis patients
Neil S. Lagali, Kevin D. Burns, Deborah L. Zimmerman, Rejean Munger
Author Affiliations +
Proceedings Volume 6796, Photonics North 2007; 679602 (2007) https://doi.org/10.1117/12.778502
Event: Photonics North 2007, 2007, Ottawa, Canada
Abstract
In a step towards the development of improved long-term prognostic indicators for patients with end-stage renal disease, we utilized absorption spectroscopy to determine the baseline status of whole blood in a cohort of 5 clinically-stable hemodialysis patients. The optical absorption spectrum of pre-dialysis and post-dialysis blood samples in the 400-1700nm wavelength range was measured for the cohort over a four-week period. Absorption spectra were consistent over time, with a maximum coefficient of variation (CV) of absorption under 2% (650-1650nm) for any given patient over the four-week period (pre and post-dialysis). Spectra varied by a greater amount across patients, with a maximum CV of 5% in any given week. Analysis of variance indicated a broad spectral range (650-1400nm) where within-patient spectral variation was significantly less than between-patient variation (p<0.001), providing the potential for development of stable baseline blood status indicators. The spectra were investigated using principal component analysis (PCA) including a further set of whole blood absorption spectra obtained from 4 peritoneal dialysis patients. PCA revealed the fingerprint-like nature of the blood spectrum, an overall similarity of the spectrum within each treatment mode (hemodialysis or peritoneal dialysis), and a distinct spectral difference between the treatment modes.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Neil S. Lagali, Kevin D. Burns, Deborah L. Zimmerman, and Rejean Munger "Optical indicators of baseline blood status in dialysis patients", Proc. SPIE 6796, Photonics North 2007, 679602 (26 October 2007); https://doi.org/10.1117/12.778502
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KEYWORDS
Blood

Absorption

Principal component analysis

Oxygen

Statistical analysis

Ocean optics

Urea

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