新一代尿液分析仪FUS-3000 Plus的首次实验室评估。

IF 1.9 Q3 MEDICAL LABORATORY TECHNOLOGY
Yasmine Nezzar, Elena Lazarova, Monia Chemais
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引用次数: 0

摘要

背景:尿沉渣分析是诊断检测的基础。本研究评估了FUS-3000 Plus,一种使用先进成像和人工智能的自动尿液沉积物分析仪,以评估其技术性能和常规临床使用的诊断准确性。方法:研究分析了98份尿液样本的化学参数(pH值、蛋白质、血液、白细胞酯酶和亚硝酸盐)和76份样本的颗粒分析(红细胞、白细胞、上皮细胞、晶体、细菌),采用FUS-3000 Plus和目前使用的实验室分析仪sediMAX™。此外,对139个样本进行了血糖和蛋白尿检测,结果与Cobas C702相比。根据临床和实验室标准协会的协议,通过内部质量控制评估结转、精度和线性。使用外部质量控制进一步评估准确性。结果:FUS-3000 Plus与sediMAX在亚硝酸盐、蛋白质和白细胞酯酶(kappa值>0.5)方面表现出强烈的一致性,与Cobas C702在血糖和蛋白尿方面表现出良好的相关性。然而,在血糖检测中观察到差异,一些样品甚至在外部质量控制评估中产生不准确的结果。红细胞的携带效应需要在高度浓缩的样品后进行冲洗步骤。精度可接受(CV: 3%-11%), Bland-Altman图显示形成元素的一致性很强(相关系数>0.95)。然而,该分析仪在细菌尿检测中的准确性有所降低。结论:FUS-3000 Plus是一种可靠的常规尿液分析工具,在颗粒分类方面具有优势。然而,在细菌检测和最小化携带效应方面还需要改进。未来的研究应探索其识别其他细胞因子的能力及其在不同临床人群中的诊断效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
First Laboratory Evaluation of FUS-3000 Plus: A New-Generation Urine Analyzer.

Background: Urine sediment analysis is a cornerstone of diagnostic testing. This study evaluates FUS-3000 Plus, an automated urine sediment analyzer using advanced imaging and artificial intelligence, to assess its technical performance and diagnostic accuracy for routine clinical use.

Methods: The study analyzed 98 urine samples for chemical parameters (pH, protein, blood, leukocyte esterase, and nitrite) and 76 samples for particle analysis (red blood cells [RBCs], white blood cells, epithelial cells, crystals, bacteria) by both FUS-3000 Plus and sediMAX™, the current laboratory analyzer in use. Additionally, 139 samples were tested for glucosuria and proteinuria, with results compared to the Cobas C702. Carry-over, precision, and linearity were assessed by internal quality controls in accordance with Clinical and Laboratory Standards Institute protocols. Accuracy was further evaluated using external quality controls.

Results: FUS-3000 Plus demonstrated strong agreement with sediMAX for nitrites, protein, and leukocyte esterase (kappa values >0.5) and correlated well with the Cobas C702 for glucosuria and proteinuria. However, discrepancies were observed in glucosuria detection, with some samples yielding inaccurate results even during external quality control assessments. A carry-over effect for RBCs required a rinse step after highly concentrated samples.Precision was acceptable (CV: 3%-11%), and Bland-Altman plots showed strong agreement for formed elements (correlation >0.95). However, the analyzer had reduced accuracy in bacteriuria detection.

Conclusion: FUS-3000 Plus is a reliable tool for routine urinalysis, excelling in particle classification. However, improvements are needed in bacteriuria detection and minimizing carry-over effects. Future research should explore its ability to identify additional cellular elements and its diagnostic utility in diverse clinical populations.

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来源期刊
Journal of Applied Laboratory Medicine
Journal of Applied Laboratory Medicine MEDICAL LABORATORY TECHNOLOGY-
CiteScore
3.70
自引率
5.00%
发文量
137
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