Optical Method for Cardiovascular Risk Marker Uric Acid Removal Assessment during Dialysis

The aim of this study was to estimate the concentration of uric acid (UA) optically by using the original and processed ultraviolet (UV) absorbance spectra of spent dialysate. Also, the effect of using several wavelengths (multi-wavelength algorithms) for estimation was examined. This paper gives an...

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Main Authors: Jana Holmar, Ivo Fridolin, Fredrik Uhlin, Kai Lauri, Merike Luman
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1100/2012/506486
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author Jana Holmar
Ivo Fridolin
Fredrik Uhlin
Kai Lauri
Merike Luman
author_facet Jana Holmar
Ivo Fridolin
Fredrik Uhlin
Kai Lauri
Merike Luman
author_sort Jana Holmar
collection DOAJ
description The aim of this study was to estimate the concentration of uric acid (UA) optically by using the original and processed ultraviolet (UV) absorbance spectra of spent dialysate. Also, the effect of using several wavelengths (multi-wavelength algorithms) for estimation was examined. This paper gives an overview of seven studies carried out in Linköping, Sweden, and Tallinn, Estonia. A total of 60 patients were monitored over their 188 dialysis treatment procedures. Dialysate samples were taken and analysed by means of UA concentration in a chemical laboratory and with a double-beam spectrophotometer. The measured UV absorbance spectra were processed. Three models for the original and three for the first derivate of UV absorbance were created; concentrations of UA from the different methods were finally compared in terms of mean values and SD. The mean concentration (micromol/L) of UA was 49.7±23.0 measured in the chemical laboratory, and 48.9±22.4 calculated with the best estimate among all models. The concentrations were not significantly different (P≥0.17). It was found that using a multi-wavelength and processed signal approach leads to more accurate results, and therefore these approaches should be used in future.
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spelling doaj-art-0ad16c752e4d40fd9eff46ecb27b4e952025-08-20T02:03:09ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/506486506486Optical Method for Cardiovascular Risk Marker Uric Acid Removal Assessment during DialysisJana Holmar0Ivo Fridolin1Fredrik Uhlin2Kai Lauri3Merike Luman4Department of Biomedical Engineering, Technomedicum, Tallinn University of Technology, Ehitajate tee 5, EST-19086 Tallinn, EstoniaDepartment of Biomedical Engineering, Technomedicum, Tallinn University of Technology, Ehitajate tee 5, EST-19086 Tallinn, EstoniaDepartment of Biomedical Engineering, Technomedicum, Tallinn University of Technology, Ehitajate tee 5, EST-19086 Tallinn, EstoniaDepartment of Biomedical Engineering, Technomedicum, Tallinn University of Technology, Ehitajate tee 5, EST-19086 Tallinn, EstoniaDepartment of Biomedical Engineering, Technomedicum, Tallinn University of Technology, Ehitajate tee 5, EST-19086 Tallinn, EstoniaThe aim of this study was to estimate the concentration of uric acid (UA) optically by using the original and processed ultraviolet (UV) absorbance spectra of spent dialysate. Also, the effect of using several wavelengths (multi-wavelength algorithms) for estimation was examined. This paper gives an overview of seven studies carried out in Linköping, Sweden, and Tallinn, Estonia. A total of 60 patients were monitored over their 188 dialysis treatment procedures. Dialysate samples were taken and analysed by means of UA concentration in a chemical laboratory and with a double-beam spectrophotometer. The measured UV absorbance spectra were processed. Three models for the original and three for the first derivate of UV absorbance were created; concentrations of UA from the different methods were finally compared in terms of mean values and SD. The mean concentration (micromol/L) of UA was 49.7±23.0 measured in the chemical laboratory, and 48.9±22.4 calculated with the best estimate among all models. The concentrations were not significantly different (P≥0.17). It was found that using a multi-wavelength and processed signal approach leads to more accurate results, and therefore these approaches should be used in future.http://dx.doi.org/10.1100/2012/506486
spellingShingle Jana Holmar
Ivo Fridolin
Fredrik Uhlin
Kai Lauri
Merike Luman
Optical Method for Cardiovascular Risk Marker Uric Acid Removal Assessment during Dialysis
The Scientific World Journal
title Optical Method for Cardiovascular Risk Marker Uric Acid Removal Assessment during Dialysis
title_full Optical Method for Cardiovascular Risk Marker Uric Acid Removal Assessment during Dialysis
title_fullStr Optical Method for Cardiovascular Risk Marker Uric Acid Removal Assessment during Dialysis
title_full_unstemmed Optical Method for Cardiovascular Risk Marker Uric Acid Removal Assessment during Dialysis
title_short Optical Method for Cardiovascular Risk Marker Uric Acid Removal Assessment during Dialysis
title_sort optical method for cardiovascular risk marker uric acid removal assessment during dialysis
url http://dx.doi.org/10.1100/2012/506486
work_keys_str_mv AT janaholmar opticalmethodforcardiovascularriskmarkeruricacidremovalassessmentduringdialysis
AT ivofridolin opticalmethodforcardiovascularriskmarkeruricacidremovalassessmentduringdialysis
AT fredrikuhlin opticalmethodforcardiovascularriskmarkeruricacidremovalassessmentduringdialysis
AT kailauri opticalmethodforcardiovascularriskmarkeruricacidremovalassessmentduringdialysis
AT merikeluman opticalmethodforcardiovascularriskmarkeruricacidremovalassessmentduringdialysis