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

Ince, Fatma Demet Arslan; Elli̇dağ, Hamit Yaşar; Köseoğlu, Mehmet; Şimşek, Neşe; Yalçın, Hülya; Zengin, Mustafa

doi:10.1016/j.plabm.2016.03.002

Cited by 79 publications

(69 citation statements)

References 30 publications

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“…Whereas the reference instrument UF‐5000 counts RBC and WBC via flow cytometry, the UC‐3500 measures the enzymatic activity of hemoglobin peroxidase and leukocyte esterase, respectively. It has been reported that due to low sensitivity and NPV, screening for urinary infections by test strips alone might not be sufficient . Despite these findings, in our study, the NPV was just below 95% for WBCs, and values for trueness of ordinal scale measurements fulfilled optimum criteria for the detection and confirmation limit.…”

Section: Discussioncontrasting

confidence: 85%

“…It has been reported that due to low sensitivity and NPV, screening for urinary infections by test strips alone might not be sufficient. 16 Despite these findings, in our study, the NPV was just below 95% In brackets, the absolute numbers of samples are displayed. FP, false positive; FN, false negative, L D , detection limit; L G , limit grey zone; L C , confirmation limit; ND, not determined.…”

Section: Discussioncontrasting

confidence: 64%

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Semiquantitative, fully automated urine test strip analysis

Oyaert

Delanghe

2019

Clinical Laboratory Analysis

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ObjectivesUrinalysis is one of the most frequently ordered diagnostic laboratory tests. In order to reduce workload and costs, rapid screening tests such as urine test strip analyses are applied. The aim of this study was to evaluate the analytical performance of the UC‐3500 as well as the diagnostic performance in comparison with reference methods.Design and methodsWe measured within‐run and between‐run imprecision based on quantitative reflectance values. 347 prospectively included urine specimens were investigated for the presence of glucose, protein, albumin, leukocyte esterase, and hemoglobin peroxidase activity, and ordinal scale results were compared to an automated urine particle analyzer (UF‐5000, Sysmex, Kobe, Japan) and wet chemistry (Roche Cobas 8000, Mannheim, Germany).ResultsWithin‐run and between‐run imprecision results based on reflectance data for both the 9 and 11 parameter test strips ranged from 0.07% to 1.36% for the low‐level control and from 0.37% to 6.13% for the high‐level control, depending on the parameter. Regarding diagnostic performance, the sensitivity/specificity for glucose, protein, albumin, leukocyte esterase, and hemoglobin peroxidase was 100/60%, 94.2/88.2%, 81.8/89.2%, 81.7/92.8%, and 85.1/88.6%, respectively; the negative predictive value was 100%, 83.3%, 89.1%, 94.6%, and 96.1%. The Spearman correlation coefficients of the UC‐3500 vs reference methods ranged from 0.915 to 0.967, depending on the parameter.ConclusionThis fully automated urine test strip analyzer overall shows a satisfying performance and can reliably screen out negative urine samples in order to focus on further characterization of positive samples in the following steps of the workflow.

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Section: Discussioncontrasting

confidence: 85%

Section: Discussioncontrasting

confidence: 64%

Semiquantitative, fully automated urine test strip analysis

Oyaert

Delanghe

2019

Clinical Laboratory Analysis

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“…In accordance with the literature, we found that our results were more accurate in urine sediments having higher cell counts [14][15][16] . It is accepted that automated analyzers reduce the time spent on manual examination, as reported in some studies 17,18 .…”

Section: Discussionsupporting

confidence: 92%

Comparative performance analysis of Urised 3 and DIRUI FUS-200 automated urine sediment analyzers and manual microscopic method

Yalcinkaya¹,

Erman²,

Kirac³

et al. 2019

MMJ

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Objective: Microscopic examination of urine sediment is necessary for evaluation of renal and urinary tract diseases. In this study, we evaluated and compared analytic and diagnostic performances of DIRUI FUS-200 and a new image-based automated urine sediment analyzer Urised 3. Method: A total of 440 urine samples, submitted to our laboratory, were evaluated by two automated urine sediment analyzers and a standardized manual microscopy. Precision, linearity and method comparison studies were performed according to CLSI guidelines. Results: Considering the red blood cell (RBC) and white blood cell (WBC) counts, strong correlations existed between FUS-200 and manual microscopy (r=0.993 vs 0.861), Urised 3 and manual microscopy (r=0.962 vs 0.818), FUS200 and Urised 3 (r=0.961 vs 0.961). Clinical nonconcordance ranged from 7% to 14.16% among all methods. Conclusions: The concordance between the analyzers and manual microscopy for WBC was better than that of RBC. The concordance between the two analyzers was better for WBC and RBC, with respect to the manual microscopy. Although the Urised 3, FUS-200 and manual microscopy counts were in agreement; confirmation of the results of automated analyzers with manual microscopy is particularly helpful, for pathological samples with near cutoff values.

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“…The preparation was examined microscopically using the X10 and X40 objective lenses. Reports were given based on the specification given by Cheesbrough (2006), Alfred et al, (2013), Ince et al, (2016) as follows:…”

Section: Microscopymentioning

confidence: 99%

Macroscopy and Microscopy Urinalysis: A Vital Screening Procedure for Urinary Tract Infections (UTIs) in a Hospital in Awka, Nigeria

Nwankwo¹,

Ezebialu²,

Ezeadila³

et al. 2020

JBLS

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Urine examination has been employed in clinical practice as the most common screening laboratory method for early detection of urinary tract infections (UTIs) or renal disorder. This study was undertaken to ascertain the usefulness of urine macroscopy and microscopy as vital screening procedure for diagnosing UTI among antenatal patients in a teaching hospital in Awka, Nigeria. Freshly voided midstream urine specimens of 269 pregnant women were collected and examined using macroscopic, microscopic and culture methods. The sensitivity, specificity, positive predictive value and negative predictive value of urine colour, and microscopic features were compared with urine culture in diagnosis of UTI. Statistical analysis was done using SPSS and Epi info® and P-value was set at <0.05 significant level. One hundred and seven specimens showed positive urine cultures. Out of these 107 specimens, 60 (56.1%) also had deviation from normal urine colour and 77(72%) were positive on urine microscopy. Macroscopic examination showed that a significant relationship exists between urine colour and positive urine culture (p=0.0001). The sensitivity and specificity of urine colour with respect to UTI were 56.7% and 67.9% respectively. Urine microscopy revealed that the positive features had a significant relationship with positive urine culture (p= 0.000). Pyuria alone showed the specificity and positive predictive value of 100% each. The sensitivity, specificity, positive predictive value and the negative predictive value of combination of positive microscopic features were 72%, 64.8%, 57.5% and 77.8% respectively. Examination of colours and microscopic features of urine are therefore vital in predicting urinary tract infection.

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

Cited by 79 publications

References 30 publications

Semiquantitative, fully automated urine test strip analysis

Semiquantitative, fully automated urine test strip analysis

Comparative performance analysis of Urised 3 and DIRUI FUS-200 automated urine sediment analyzers and manual microscopic method

Macroscopy and Microscopy Urinalysis: A Vital Screening Procedure for Urinary Tract Infections (UTIs) in a Hospital in Awka, Nigeria

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