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透析过程中用于评估心血管风险标志物尿酸清除的光学方法。

Optical method for cardiovascular risk marker uric acid removal assessment during dialysis.

作者信息

Holmar Jana, Fridolin Ivo, Uhlin Fredrik, Lauri Kai, Luman Merike

机构信息

Department of Biomedical Engineering, Technomedicum, Tallinn University of Technology, Ehitajate Tee 5, EST-19086 Tallinn, Estonia.

出版信息

ScientificWorldJournal. 2012;2012:506486. doi: 10.1100/2012/506486. Epub 2012 May 22.

Abstract

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.

摘要

本研究的目的是通过利用用过的透析液的原始和处理后的紫外(UV)吸收光谱来光学估计尿酸(UA)的浓度。此外,还研究了使用多个波长(多波长算法)进行估计的效果。本文概述了在瑞典林雪平以及爱沙尼亚塔林开展的七项研究。在188次透析治疗过程中对总共60名患者进行了监测。采集透析液样本,并在化学实验室借助UA浓度以及使用双光束分光光度计进行分析。对测得的UV吸收光谱进行处理。创建了原始UV吸收的三种模型以及一阶导数的三种模型;最终从平均值和标准差方面比较了不同方法得出的UA浓度。在化学实验室测得的UA平均浓度(微摩尔/升)为49.7±23.0,而通过所有模型中的最佳估计值计算得出的浓度为48.9±22.4。这些浓度没有显著差异(P≥0.17)。研究发现,使用多波长和处理后的信号方法可得出更准确的结果,因此未来应采用这些方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fede/3366212/8ed62f2e5752/TSWJ2012-506486.001.jpg

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