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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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http://dx.doi.org/10.1093/jalm/jfaf111 | DOI Listing |
Int J Mol Sci
August 2025
Research Centre for Medical Genetics, Moskvorechie 1, Moscow 115478, Russia.
Genome instability in induced pluripotent stem cells (IPSC) poses a significant challenge for their use in research and medicine. Cataloging and precisely describing all the identified aberrations that arise during cell reprogramming, expansion, and differentiation is essential for improving approaches to instability prevention and ensuring genetic quality control. We report the karyotypic analysis of 65 cell lines derived from skin fibroblasts, urinal sediment, and peripheral blood mononuclear cells of 33 individuals, 82% of whom suffer from monogenic genetic disorders not associated with genetic instability.
View Article and Find Full Text PDFKidney360
August 2025
Dept of Paediatrics, Lady Hardinge Medical College and assoc. Kalawati Saran Children's Hospital, New Delhi, India.
Background: Urine sediment examination is an important preliminary investigation for the nephrologist and helps him decide whether the patient has a proliferative or non-proliferative glomerular pathology. Recently, there is an increasing trend of using easier, non-specific dipstick method for urine examination leading to a decline in the importance of urine sediment examination. Here, we attempt to define guidelines for bio-chemical and microscopic parameters in order to develop a uniform and clinically relevant reporting system for urine sediment examination.
View Article and Find Full Text PDFMitochondrion
August 2025
Institute for Maternal and Child Health IRCCS Burlo Garofolo, 34137 Trieste, Italy; University of Padova Department of Neuroscience, Veneto Institute of Molecular Medicine, Via Orus 2, Padova 35128, Italy. Electronic address:
The diagnosis of disorders associated with mitochondrial DNA (mtDNA) variants presents substantial complexity due to their genetic and clinical heterogeneity, which is largely influenced by mtDNA heteroplasmy. However, the level of heteroplasmy alone is often not sufficient to predict the clinical phenotype including its severity and progression. This study concerns the characterization of the m.
View Article and Find Full Text PDFJ Appl Lab Med
August 2025
Department of Medical Biology, CHR Haute Senne, Soignies, Belgium.
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.
Z Rheumatol
August 2025
Research Department, Reha Rheinfelden, Salinenstr. 98, 4310, Rheinfelden, Schweiz.
A 46-year-old female patient had been suffering from multiple symptoms such as arthralgia, myalgia, general fatigue, exhaustion, concentration problems, forgetfulness, difficulty falling asleep and sleeping through the night and depression since the age of 27 years old. Rheumatological preliminary findings revealed rheumatoid arthritis with a lack of response to basic treatment as well as secondary fibromyalgia. Supplementary metabolic examinations were carried out in the case of laboratory tests for hypouricemia, which showed massively increased xanthine levels in the urine.
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