Rapid dipstick urinalysis in the internal medicine clinic: what is missed?

Laine, P.; Toivonen, E.; Eklund, Kari K.; Hohenthal, Ulla; Siren, Sezer; Maki, Takako

doi:10.1046/j.1365-2796.1997.00192.x

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…This first step should generate very few false-negative results and should have a high negative predictive value. However, screening by dipstick alone carries the risk of missing infections and other urinary diseases (13)(14)(15)(16). In this study we confirmed the low sensitivity and negative predictive value of this traditional approach and found that screening by dipstick combined with automated urine analysis strongly reduced the rate of false-negative results.…”

Section: Discussionsupporting

confidence: 71%

Automated urinalysis: first experiences and a comparison between the Iris iQ200 urine microscopy system, the Sysmex UF-100 flow cytometer and manual microscopic particle counting

Shayanfar

Tobler

Eckardstein

et al. 2007

Clinical Chemical Laboratory Medicine

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Background: Automated analysis of insoluble urine components can reduce the workload of conventional microscopic examination of urine sediment and is possibly helpful for standardization. We compared the diagnostic performance of two automated urine sediment analyzers and combined dipstick/automated urine analysis with that of the traditional dipstick/ microscopy algorithm. Methods: A total of 332 specimens were collected and analyzed for insoluble urine components by microscopy and automated analyzers, namely the Iris iQ200 (Iris Diagnostics) and the UF-100 flow cytometer (Sysmex). Results: The coefficients of variation for day-to-day quality control of the iQ200 and UF-100 analyzers were 6.5% and 5.5%, respectively, for red blood cells. We reached accuracy ranging from 68% (bacteria) to 97% (yeast) for the iQ200 and from 42% (bacteria) to 93% (yeast) for the UF-100. The combination of dipstick and automated urine sediment analysis increased the sensitivity of screening to approximately 98%. Conclusions: We conclude that automated urine sediment analysis is sufficiently precise and improves the workflow in a routine laboratory. In addition, it allows sediment analysis of all urine samples and thereby helps to detect pathological samples that would have been missed in the conventional two-step procedure according to the European guidelines. Although it is not a substitute for microscopic sediment examination, it can, when combined with dipstick testing, reduce the number of specimens submitted to microscopy. Visual microscopy is still required for some samples, namely, dysmorphic erythrocytes, yeasts, Trichomonas, oval fat bodies, differentiation of casts and certain crystals. Clin Chem Lab Med 2007;45: 1251-6.

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Section: Discussionsupporting

confidence: 71%

Automated urinalysis: first experiences and a comparison between the Iris iQ200 urine microscopy system, the Sysmex UF-100 flow cytometer and manual microscopic particle counting

Shayanfar

Tobler

Eckardstein

et al. 2007

Clinical Chemical Laboratory Medicine

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“…In the second step, if there is erythrocyturia, leukocyturia, bacteriuria or proteinuria, urine samples are subjected to further analysis by microscopy. Because the first step has poor sensitivity and negative predictive value, screening by dipstick alone carries the risk of missing infections and other urinary diseases [2] , [3] , [4] , [5] .…”

Section: Introductionmentioning

confidence: 99%

The comparison of automated urine analyzers with manual microscopic examination for urinalysis automated urine analyzers and manual urinalysis

Ince

Elli̇dağ²,

Köseoğlu³

et al. 2016

Practical Laboratory Medicine

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ObjectivesUrinalysis is one of the most commonly performed tests in the clinical laboratory. However, manual microscopic sediment examination is labor-intensive, time-consuming, and lacks standardization in high-volume laboratories. In this study, the concordance of analyses between manual microscopic examination and two different automatic urine sediment analyzers has been evaluated.Design and methods209 urine samples were analyzed by the Iris iQ200 ELITE (İris Diagnostics, USA), Dirui FUS-200 (DIRUI Industrial Co., China) automatic urine sediment analyzers and by manual microscopic examination. The degree of concordance (Kappa coefficient) and the rates within the same grading were evaluated.ResultsFor erythrocytes, leukocytes, epithelial cells, bacteria, crystals and yeasts, the degree of concordance between the two instruments was better than the degree of concordance between the manual microscopic method and the individual devices. There was no concordance between all methods for casts.ConclusionThe results from the automated analyzers for erythrocytes, leukocytes and epithelial cells were similar to the result of microscopic examination. However, in order to avoid any error or uncertainty, some images (particularly: dysmorphic cells, bacteria, yeasts, casts and crystals) have to be analyzed by manual microscopic examination by trained staff. Therefore, the software programs which are used in automatic urine sediment analysers need further development to recognize urinary shaped elements more accurately. Automated systems are important in terms of time saving and standardization.

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Esame delle urine: la scelta della strategia diagnostica è evidence-based?

Cappelletti

2017

Riv Ital Med Lab

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Rapid dipstick urinalysis in the internal medicine clinic: what is missed?

Cited by 4 publications

References 6 publications

Automated urinalysis: first experiences and a comparison between the Iris iQ200 urine microscopy system, the Sysmex UF-100 flow cytometer and manual microscopic particle counting

Automated urinalysis: first experiences and a comparison between the Iris iQ200 urine microscopy system, the Sysmex UF-100 flow cytometer and manual microscopic particle counting

The comparison of automated urine analyzers with manual microscopic examination for urinalysis automated urine analyzers and manual urinalysis

Esame delle urine: la scelta della strategia diagnostica è evidence-based?

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