Urine Analyzer Research Articles

Analysis of Urinary Flora Characteristics in Urinary Tumor Based on 16S rRNA Sequence.

The relationship between urinary system tumors and urothelial microorganisms remains unexplored. This study is aimed at exploring the relationship between urinary flora and urinary tumors and identifying potential biomarkers for urinary tumors and new targets for prevention. We included four healthy adults (control group) and six patients diagnosed with urinary tract tumors (tumor group). In both groups, 10 and 50 ml clean middle urine samples were reserved. The 10 ml samples were analyzed (including pH, specific gravity, and leukocytes) using an automatic urine analyzer, and the 50 ml samples were analyzed by DNA extraction, 16S rRNA gene amplification, and high-throughput sequencing. The correlation between routine urine analysis and sequencing results was also analyzed. Testing using the DESeq2 method showed that, at the order level, there were significant differences in the abundance of Caulobacterales between the urinary flora of the two groups (P < 0.05); family level, Bacteroidaceae, Actinomycetaceae, and Tsukamurellaceae (P < 0.05); genus level, Finegoldia, Varibaculum, Actinobaculum, Propionimicrobium, Bacteroides, Brevundimonas, and Tsukamurella (P < 0.05). LEfSe analysis found specific bacteria at the genus level in the urinary flora of the tumor group, namely, Finegoldia (genus Digestiflora) (P < 0.001) and Varibaculum (P < 0.001). Further correlation analysis showed that both species were positively correlated with the urine pH (P < 0.05). PICRUSt analysis showed significant differences in the two functional pathways of cell transformation and metabolism (P < 0.05). Combined with the results of bioinformatics analysis, some differential bacteria may be new biomarkers for urologic tumors, and there may be a correlation between urine pH and tumor occurrence. However, large-scale prospective studies and in vitro and in vivo experiments are required to further test and verify these findings.

Analysis of Platelet Indices and Proteinuria in Primary Hypertensive Patients

Hypertension is a silent killer that causes premature death, an estimated 9.4 million people die each year due to hypertension and its complications. Primary hypertension promotes endothelial damage-causing platelet release reaction. Without treatment, it may cause renal damage, which leads to proteinuria. This study aimed to analyze the relationship of the platelet indices (PLT, PDW, PCT, MPV) in predicting proteinuria among patients with primary hypertension based on its stage. A retrospective study using medical records of patients diagnosed with primary hypertension by clinicians at Dr. Wahidin Sudirohusodo Hospital from January-December 2019. Complete Blood Count (CBC) using the flow cytometry and routine urine test with urine analyzer were performed. The statistical test used in this study were the independent T-test, Chi-Square test, and oneway ANOVA test. Receiver Operating Characteristics (ROC) were used to determine the cut-off. The sample consisted of 78 patients. Mean Platelet Volume (MPV) was significantly higher in proteinuria patients and stage two hypertension with p&lt;0.001. There was a significant relationship between stage two hypertension and proteinuria with p=0.018. ROC analysis showed MPV Area Under the Curve (AUC) of 0.774 with p&lt;0.001, which indicated that MPV can be used as a predictor of proteinuria with a cut-off point of 8.55. MPV increases on the platelet indices, proteinuria with stage 2 hypertension are caused by damage to glomerular endothelium, which leads to platelet activation characterized by degranulation, swelling, and increases in platelet mass and volume. There was a relationship between an increase of MPV and proteinuria in patients with stage 2 hypertension.

Gambaran Berat Jenis Urin Dan Kadar Protein Urin Pada Ibu Hamil Di Upk Puskesmas Kampung Dalam Pontianak Timur

Laboratory examinations are carried out to determine diseases that can affect pregnancy, one of the tests carried out is routine urine. The presence of the hormone HCG (Human Chorionic Gonadotrophin) in the urine can be used for a pregnancy test. Kidney function, can be known through a protein test in the urine, the presence of protein in the urine leads to pre-eclampsia in pregnant women. High urine specific gravity can be caused by lack of fluid consumption, the presence of sugar in the urine, and protein in the urine (usually in people with kidney disorders) or certain medications. This study aims to describe the description of urine specific gravity and urine protein levels in pregnant women in the UPK Puskesmas Kampung Dalam, Pontianak Timur. This is a descriptive survey research using the accidental sampling technique. Measurements and observations of research variables were measurements of urine specific gravity and urine protein content which were carried out at the UPK Laboratory of the Kampung Dalam Puskesmas, Pontianak Timur. The sample used is a urine sample when pregnant women who meet predetermined criteria, the examination is carried out using a Urine Analyzer. Respondents of this study found 30 people. The results of 30 respondents pregnant women measuring urine specific gravity whose normal limit is 1,005-1,030 obtained urine specific gravity of 1,010 as many as 6 respondents (20%), 1,015 as many as 9 respondents (30%), 1,020 as many as 2 respondents (6,7% ). 1,025 as many as 6 respondents (20%), and 1,030 as many as 7 respondents (23.3%). While the results of the measurement of urine protein levels were positive 1 as many as 4 respondents (13.3%), positive 2 as many as 1 respondent (3.4%), and Negative as many as 25 respondents with a percentage (83.3%).

Jiedu Tongluo Baoshen formula enhances podocyte autophagy and reduces proteinuria in diabetic kidney disease by inhibiting PI3K/Akt/mTOR signaling pathway

Ethnopharmacological relevanceTraditional Chinese medicine (TCM) has been applied to diabetic kidney disease (DKD). A large number of animal trials each year focus on TCM for DKD, but the evidence for these preclinical studies is not clear. Aim of the studyThe aim of this study was to study the therapeutic effect of Jiedu Tongluo Baoshen formula (JTBF) on DKD proteinuria and renal protection. At the same time, it is verified that JTBF can reduce podocyte injury by enhancing autophagy function, and then achieve the effect of proteinuria. Materials and methodsWe use high performance liquid chromatography to detect and analyze the fingerprint of JTBF to find the chemical composition. Subsequently, we constructed a DKD rat model induced by high-fat diet and streptozocin (HFD + STZ). Urine and blood biochemical automatic analyzer were used to detect 24-h urine protein quantification (24 h-UP) and renal function. The renal pathological changes were observed by H&E and transmission electron microscopy (TEM), and the levels of autophagy-related proteins and mRNA in podocytes were detected by immunohistochemistry, RT-qPCR and Western Blot. The chemical composition of JTBF was screened from traditional Chinese medicine systems pharmacol (TCMSP) and PubChem databases, and the potential targets and associated pathways of JTBF were predicted using kyoto encyclopedia of genes and genomes (KEGG) and protein-protein interaction (PPI) network analysis in network pharmacology, and confirmed in animal experiments and histopathological methods. ResultsWe discovered 77 active ingredients of JTBF. Through animal experiments, it was found that JTBF reduced 24 h-UP and promoted the expression of podocin, nephrin, and WT-1 in podocytes, thereby reducing podocyte damage. At the same time, JTBF activates the expression of podocyte autophagy-related proteins (beclin-1, LC3 and P62). Subsequently, through network pharmacology predictions, 208 compounds were obtained from JTBF, and phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR) was a potential signal pathway. JTBF was obtained in DKD rat kidney tissue to inhibit the expression of PI3K, Akt and mTOR related proteins. ConclusionsJTBF enhance podocyte autophagy to reduce podocyte damage, thereby effectively treating DKD proteinuria and protecting kidney function.

Rapid Bacterial Detection in Urine Using Laser Scattering and Deep Learning Analysis

ABSTRACTImages of laser scattering patterns generated by bacteria in urine are promising resources for deep learning. However, floating bacteria in urine produce dynamic scattering patterns and require deep learning of spatial and temporal features. We hypothesized that bacteria with variable bacterial densities and different Gram staining reactions would generate different speckle images. After deep learning of speckle patterns generated by various densities of bacteria in artificial urine, we validated the model in an independent set of clinical urine samples in a tertiary hospital. Even at a low bacterial density cutoff (1,000 CFU/mL), the model achieved a predictive accuracy of 90.9% for positive urine culture. At a cutoff of 50,000 CFU/mL, it showed a better accuracy of 98.5%. The model achieved satisfactory accuracy at both cutoff levels for predicting the Gram staining reaction. Considering only 30 min of analysis, our method appears as a new screening tool for predicting the presence of bacteria before urine culture.IMPORTANCE This study performed deep learning of multiple laser scattering patterns by the bacteria in urine to predict positive urine culture. Conventional urine analyzers have limited performance in identifying bacteria in urine. This novel method showed a satisfactory accuracy taking only 30 min of analysis without conventional urine culture. It was also developed to predict the Gram staining reaction of the bacteria. It can be used as a standalone screening tool for urinary tract infection.

Astragalus polysaccharides affects multidrug resistance gene 1 and P-glycoprotein 170 in adriamycin nephropathy rats via regulating microRNA-16/NF-κB axis.

Nephrotic syndrome is a common disease of the urinary system. The aim of this study is to explore the effect of astragalus polysaccharides (APS) on multidrug resistance gene 1 (MDR1) and P-glycoprotein 170 (P-gp170) in adriamycin nephropathy rats and the underlying mechanisms. A total of 72 male Wistar rats were divided into a control group, a model group, an APS low-dose group, an APS high-dose group, an APS+micro RNA (miR)-16 antagomir group and an APS+miR-16 antagomir control group, with 12 rats in each group. Urine protein (UP) was detected by urine analyzer, and serum cholesterol (CHOL), albumin (ALB), blood urea nitrogen (BUN), and creatinine (SCr) were detected by automatic biochemical analyzer; serum interleukin-6 (IL-6), IL-1β, tumor necrosis factor α (TNF-α) levels were detected by ELISA kit; the morphological changes of kidney tissues were observed by HE staining; the levels of miR-16 and MDR1 mRNA in kidney tissues were detected by real-time RT-PCR; the expression levels of NF-κB p65, p-NF-κB p65, and P-gp170 protein in kidney tissues were detected by Western blotting; and dual luciferase was used to verify the relationship between miR-16 and NF-κB. The renal tissue structure of rats in the control group was normal without inflammatory cell infiltration. The renal glomeruli of rats in the model group were mildly congested, capillary stenosis or occlusion, and inflammatory cell infiltration was obvious. The rats in the low-dose and high-dose APS groups had no obvious glomerular congestion, the proliferation of mesangial cells was significantly reduced, and the inflammatory cells were reduced. Compared with the high-dose APS group and the APS+miR-16 antagomir control group, there were more severe renal tissue structure damages in the APS + miR-16 antagomir group. Compared with the control group, the levels of UP, CHOL, BUN, SCr, IL-6, IL-1β, TNF-α, and MDR1 mRNA, and the protein levels of p-NF-κB p65 and P-gp170 in the model group were significantly increased (all P<0.05); the levels of ALB and miR-16 were significantly decreased (both P<0.05). Compared with the model group, the levels of UP, CHOL, BUN, SCr, IL-6, IL-1β, TNF-α, and MDR1 mRNA, and the protein levels of pNF-κB p65 and P-gp170 in the low-dose and high-dose APS groups were significant decreased (all P<0.05); and the levels of ALB and miR-16 were significantly increased (both P<0.05). Compared with APS+miR-16 antagomir control group, the UP, CHOL, BUN, SCr, IL-6, IL-1β, and TNF-α levels, MDR1 mRNA, and the protein levels of p-NF-κB p65 and P-gp170 were significantly increased (all P<0.05). The levels of ALB and miR-16 were significantly decreased in the APS+miR-16 antagomir group compared with the APS+miR-16 antagomir control group (both P<0.05). APS can regulate the miR-16/NF-κB signaling pathway, thereby affecting the levels of MDR1 and P-gp170, and reducing the inflammation in the kidney tissues in the adriamycin nephropathy rats.

Role of Wet Mount and Cytospin Smears in Diagnosing Urothelial Carcinoma: A Descriptive Observational Study

Introduction: Most common carcinomas of lower urinary tract are of urothelial type in which, majority of them occur in the bladder. The demonstration of exfoliated neoplastic cells in urine sediment cytology is one of the choices of investigation. Aim: To study the morphology of atypical cells of urine sediment in unstained wet mount preparation and urine sediment obtained by cytospin smear stained with Papanicolaou stain. Materials and Methods: It was a descriptive observational study done over a period of 29 months i.e., from July 2016 to December 2018 at SS Institute of Medical Sciences and Research Centre, Davangere, Karnataka, India. Using non probability sampling method, 50 urine samples were analysed by DIRUI-H 500 a semi automatic urine analyser, which were further examined by wet mount preparation and cytospin smear stained with papanicolaou stain. Results were analysed by whether the smears were positive or negative for atypical cells based on the cytological and nuclear details. Results: The yield of Red Blood Corpuscles (RBCs) was significantly increased in cytospin preparation with morphology of RBCs was better appreciated in wet mount compared to cytospin preparation. The yield of atypical cells was significantly increased in cytospin preparation with the morphology of atypical cells were better appreciated in pap stained cytospin preparation compared to wet mount urine examination. Conclusion: Overall, cell yield and preservation of White Blood Corpuscles (WBCs), epithelial cell and atypical cells morphology was better in cytospin preparation, while RBCs were better appreciated in wet mount preparation. Cytospin technology is a quick, efficient and cost effective method for increasing cell yield in less cellular samples and also helps in providing better cellular morphological details.

Flags indicating abnormal coloration of urinary glucose in US-3500 automatic urine analyzer

Flags indicating abnormal coloration of urinary glucose in US-3500 automatic urine analyzer

Lab-in-a-Cup (LiC): An autonomous fluidic device for daily urinalysis using smartphone

Since urine can be collected noninvasively, a wide range of biomarkers found in urine makes urinalysis well suited for continuous routine health screening. Although there has been amazing progress in automated urine analyzers, they are laboratory-centered and still suffer from labor-involved sample processing and analysis being infeasible for routine healthcare. To facilitate routine healthcare, this work presents a cost-effectively implemented lab-in-a-Cup (LiC) hybrid urinalyzer developed using a disposable plastic cup in association with conventional paper-based urine sensors. Since the sensor pad is precisely fixed with the bottom of the cup, the small gap between the sensor pad and cup surface leads to the limited diffusion of urine which results in the stable, reproducible, repeatable data and sample volume-irrelevant measurement. To characterize the urine sample in the cup, a smartphone application with an image recognition algorithm has been developed and applied that automatizes the entire analysis procedures enabling it for routine healthcare without relying on the manual color scheme. The device was successfully applied for investigating a number of urinary biomarkers such as glucose, pH, protein, and red blood cell (RBC) to a wider concentration covering their clinical ranges. While quantified, the proposed analyzer was found to significantly improve the reaction time and sample volume-dependent irregularities enhancing the colorimetric assessment of urine sensors as a major concern for biological samples. As a result, the user-friendly LiC device may suitably be applied as a near-patient urinalyzer.

Evaluation and application of two methads for the determination of red blood cells in urine

Objective: This study was aimed to evaluate the accuracy and conformity of the dry chemical urine analyzer UA-5800 and the urine formed element analyzer EH-2080Cused in the detection of urine red blood cells, and establish screening and retesting standards for urine red blood cell testing. Methods: Automatic urine analysis line EU-8000 (composed of dry chemical urine analyzer UA-5800 and urine formed element analyzer EH-2080C) was used to conduct hematuria and urine erythrocyte test in 2336 fresh urine samples from occupational medical examinations in our hospital, the sensitivity (true positive rate) , specificity (true negative rate) and the positive coincidence rate (positive rate) and negative coincidence rate (negative rate) of the corresponding test results were analyzed tow instruments. Results: The sensitivity of urinary occult blood detected by UA-5800 and urinary erythrocytes examined by EH-2080C were 98.33% and 95.00%, there was no statistical significant between the two results (χ(2)=0.50、P>0.05) ; specificity was 82.47% and 97.45% respectively, which existed statistical significant (χ(2)=337.05、P<0.01) . Comparing the two methods, the statistical significant remained (χ(2)=339.05、P<0.01) . Among all results of urinary occult blood detected, the EH-2080C had the highest urinary erythrocyte negative coincidence rate (99.89%) ; while in the comparison of urinary occult blood positive grades at 3+, the highest positive coincidence rate of urinary erythrocyte in EH-2080C was 85.76%; when the urine occult blood levels were weakly positive, 1+, 2+, the positive coincidence rate of EH-2080C examination was low (8.97%, 14.40% and 36.48%) , which increased with elevated positive grade. Conclusion: The positive specimens screened by automatic urine analysis line were examined by gold standard microscope combining with with the criteria of urine red blood cell screening and retesting in our laboratory, which can ensure high accuracy and high efficiency of urine erythrocyte analysis.

Verification of Atellica 1500 and comparison with Iris urine analyser and urine culture.

IntroductionThe aims of study were to assess: 1) performance specifications of Atellica 1500, 2) comparability of Atellica 1500 and Iris, 3) the accuracy of both analysers in their ability to detect bacteria.Materials and methodsCarryover, linearity, precision, reproducibility, and limit of blank (LoB) verification were evaluated for erythrocyte and leukocyte counts. ICSH 2014 protocol was used for estimation of carryover, CLSI EP15-A3 for precision, and CLSI EP17 for LoB verification. Comparison for quantitative parameters was evaluated by Bland-Altman plot and Passing-Bablok regression. Qualitative parameters were evaluated by Weighted kappa analysis. Sixty-five urine samples were randomly selected and sent for urine culture which was used as reference method to determine the accuracy of bacteria detection by analysers.ResultsAnalytical specifications of Atellica 1500 were successfully verified. Total of 393 samples were used for qualitative comparison, while 269 for sediment urinalysis. Bland-Altman analysis showed statistically significant proportional bias for erythrocytes and leukocytes. Passing-Bablok analysis for leukocytes pointed to significant constant and minor proportional difference, while it was not performed for erythrocytes due to significant data deviation from linearity. Kappa analysis resulted in the strongest agreements for pH, ketones, glucose concentrations and leukocytes, while the poorest agreement for bacteria. The sensitivity and specificity of bacteria detection were: 91 (59-100)% and 76 (66-87)% for Atellica 1500 and 46 (17-77)% and 96 (87-100)% for Iris.ConclusionThere are large differences between Atellica 1500 and Iris analysers, due to which they are not comparable and can not be used interchangeably. While there was no difference in specificity of bacteria detection, Iris analyser had greater sensitivity.

Hematologic and Biochemical Reference Intervals and Urinary Test Results for Wild-caught Adult Southern Giant Pouched Rats (Cricetomys ansorgei).

Southern giant pouched rats (Cricetomys ansorgei) are muroid rodents native to subSaharan Africa. They are increasingly used as service animals because of their keen sense of smell and are primarily known for clearing minefields in Africa. The objectives of this study were to determine hematologic and biochemical reference intervals from clinically healthy wild-caught captive adult rats, to describe the cytochemical staining reactions of peripheral blood leukocytes, and to document urinalysis findings. Blood samples were collected from the coccygeal artery of 60 isoflurane-anesthetized rats (36 males and 24 females) and analyzed with automated hematologic and biochemical analyzers; manual differential cell counts were performed on modified Wright-stained blood smears. Urine was collected by cystocentesis, and dipsticks were analyzed on a urine analyzer, with visual examination of unstained sediments. Samples from a male rat with chronic renal disease were excluded from analysis. Reference intervals were determined according to guidelines established by the American Society of Veterinary Clinical Pathology. Lymphocytes were the dominant leukocyte in peripheral blood and granular lymphocytes were identified in most animals. Male rats had significantly higher RBC, absolute reticulocyte counts, and MCV than did female rats. Minor sex-associated differences in urea nitrogen concentration and GGT activity were noted. Leukocytes showed unique cytochemical staining characteristics. Small amounts of protein and bilirubin were found in the urine of rats of both sexes and of female rats, respectively, particularly in concentrated urine. These results will provide benchmarks for determining health status and identifying disease in this species of rat.

Internal Quality Control Data of Urine Reagent Strip Tests and Derivation of Control Rules Based on Sigma Metrics.

BackgroundUrine reagent strip test (URST) results are semi-quantitative; therefore, the precision of URSTs is evaluated as the proportion of categorical results from repeated measurements of a sample that are concordant with an expected result. However, URSTs have quantitative readout values before ordinal results challenging statistical monitoring for internal quality control (IQC) with control rules. This study aimed to determine the sigma metric of URSTs and derive appropriate control rules for IQC.MethodsThe URiSCAN Super Plus fully automated urine analyzer (YD Diagnostics, Yongin, Korea) was used for URSTs. Change in reflectance rate (change %R) data from IQC for URSTs performed between November 2018 and May 2020 were analyzed. Red blood cells, bilirubin, urobilinogen, ketones, protein, glucose, leukocytes, and pH were measured from 2-3 levels of control materials. The total allowable error (TEa) for a grade was the difference in midpoints of a predefined change %R range between two adjacent grades. The sigma metric was calculated as TEa/SD. Sigma metric-based control rules were determined with Westgard EZ Rules 3 software (Westgard QC, Madison, WI, USA).ResultsSeven out of the eight analytes had a sigma metric >4 in the control materials with a negative grade (-), which were closer to the cut-offs. Corresponding control rules ranged from 12.5s to 13.5s.ConclusionsAlthough the URST is a semi-quantitative test, statistical IQC can be performed using the readout values. According to the sigma metric, control rules recommended for URST IQC in routine clinical practice are 12.5s to 13.5s.

LX-8000R and UriSed 2 fully automated urine analyzers comparison to manual microscopic examination.

BackgroundUrinalysis has an important place in evaluating kidney and urinary tract infections. Automated urine analyzers enhance productivity and turnover in laboratories and economize time and labor required for analysis. In the present study, we evaluated and compared analytic and diagnostic performance of UriSed2 with LX-8000R, which is a novel image-based automated urine sediment analyzer.MethodsA total of 178 urine samples sent to our laboratory were evaluated by the two urine analyzers and standard manual microscopy. Precision and comparison studies were done in accordance with CLSI guidelines.ResultsSensitivity assessment revealed similar outcomes with both UriSed2 and LX-8000R devices for erythrocyte count (RBC), whereas UriSed2 device yielded higher outcomes for leukocyte count (WBC) and epithelial cells (EPI) than LX-8000R analyzer. Specificity of UriSed2 for WBC and RBC was higher than that of LX-8000R device. According to Gamma statistics, both urine analyzers showed perfect consistency for WBC, RBC and EPI cell counts. Manuel microscopy revealed statistically significant correlation between LX-8000R and UriSed2 in terms of WBC and RBC. Manual evaluation by Bland-Altman analysis demonstrated lower WBC and RBC values and higher EPI as compared to both UriSed2 and LX-8000R devices. As the result of Passing-Bablok regression analysis, both devices were found to be inconsistent with manual microscopy.ConclusionsWe think that evaluation of automated urine analyzers will be more meaningful when they are evaluated together with urine samples and patient clinical findings in addition to comparing with manual microscopy.

Evaluation of the sysmex UF-5000 fluorescence flow cytometer as a screening platform for ruling out urinary tract infections in elderly patients presenting at the Emergency Department

In this study, we evaluated the performance of the flow cytometer-based Sysmex UF-5000 automated urine analyzer as a screening tool for ruling out urinary tract infections in elderly patients presenting at the emergency department. A total of 1119 unselected patient samples (including 544 samples from elderly patients) submitted for urine culture were included in this study. Samples were measured on UF-5000 and dipsticks and the results were compared with interpretation of culture results, which is the gold standard. We obtained a diagnostic sensitivity of 99% and specificity of 51% with a low rate of false negatives (0.2%) and a negative predictive value of 99% at 108 colony forming bacteria/L (CFB/L). A bacterial count ≥ 50x106/L or yeast like cells ≥ 25x106/L was used as the cutoff value. At this cutoff value, 30% of the urine cultures would have been redundant. This resulted in 35% false positive samples, mainly due to particle contamination or nongrowing bacteria. In comparison, at best, the dipsticks have a diagnostic sensitivity of 89%, a specificity of 52% and a negative predictive value of 92% at 108 CFB/L.

Evaluation of the Sysmex UF-4000i urine analyzer as a screening test to rule out urinary tract infection and reduce urine cultures.

Urinary tract infection (UTI) diagnosis by urine culture is time- and labor- consuming. In the Ibn Rochd microbiology laboratory, up to 70% of urine culture samples yield no growth or insignificant growth. To evaluate the new generation of Sysmex UF-4000i fluorescence flow cytometry analyzer with a blue semiconducting laser as a method to rule out negative urine samples for UTI, in comparison of urine culture. Flow cytometry and microbiological analysis were performed on 502 urine samples included in the study. We used ROC analysis to determine cutoff points at which optimal sensitivity and specificity are achieved for clinical use. Our results showed that bacteria count at a cut-off of 100/μL, and/or the leucocytes count ≥45/μL are the optimal indicator for positive culture results. At these cut off, bacteria sensitivity (SE), specificity (SP), Positive predictive value (PPV) and negative predictive value (NPV) were 97,3%, 95%, 87,8% and 98,8% respectively. For leucocytes, SE, SP, PPV and NPV were 99,1%, 95,8%, 88,6% and 99,7% respectively. The bacterial and leucocytes counts generated by UF-4000i analysis may be useful in our context as a rapid screening to exclude UTI by reducing about 70% of urines cultures and then workload. Nevertheless, further validation is needed for different patient groups especially with urological disease or immunocompromised patients.

Automated cell count in body fluids: a review.

Body fluid cell counting provides valuable information for the diagnosis and treatment of a variety of conditions. Chamber cell count and cellularity analysis by optical microscopy are considered the gold-standard method for cell counting. However, this method has a long turnaround time and limited reproducibility, and requires highly-trained personnel. In the recent decades, specific modes have been developed for the analysis of body fluids. These modes, which perform automated cell counting, are incorporated into hemocytometers and urine analyzers. These innovations have been rapidly incorporated into routine laboratory practice. At present, a variety of analyzers are available that enable automated cell counting for body fluids. Nevertheless, these analyzers have some limitations and can only be operated by highly-qualified laboratory professionals. In this review, we provide an overview of the most relevant automated cell counters currently available for body fluids, the interpretation of the parameters measured by these analyzers, their main analytical features, and the role of optical microscopy as automated cell counters gain ground.

A comparison of automated urine analyzers cobas 6500, UN 3000-111b and iRICELL 3000 with manual microscopic urinalysis

ObjectivesMicroscopic examination is essential in urine analysis. This is a simple way to collect informative data but it is also labor-intensive, time-consuming, and requires experienced staff for accurate results and interpretation. Several automated urine analyzers have been introduced for urine analysis in medical laboratories. The aim of this study was to assess and compare the performance of the most common three automated urine analyzers, Cobas 6500, UN3000-111b and iRICELL 3000. MethodsA total of 100 routine urine samples were used in the study. Results from the three machines were compared with the routine procedure results including physical, chemical and sediment analysis. ResultsThere was good correlation of urine physical and chemical analyses between the three analyzers with an overall concordance level of more than 80%. For sediment analysis, the degree of concordance between manual analysis and the three instruments was very good to good for white blood cells, red blood cells and epithelial cells, and moderate for bacteria. There were fair to good agreements between manual microscopy and the three instruments, Cobas 6500, UN3000-111b and iRICELL 3000, for casts (Cohen’s kappa 0.42, 0.38 and 0.62, respectively). ConclusionsThe three automated urine analyzers showed similar performances and good correlation with manual microscopy. The results of this study indicate that automated urine analyzers could be used for initial urine testing to reduce high workloads and to save time, but manual microscopic analysis by experienced staff is still necessary to classify urine sediments for confirmation, especially in pathologic specimens.

Comparison of judgment results between the color comparison method of urine analysis test papers using the CIE DE2000 color-difference formula and the automatic urine analyzer

Comparison of judgment results between the color comparison method of urine analysis test papers using the CIE DE2000 color-difference formula and the automatic urine analyzer

Performance Evaluation of Four Commercial Point-of-Care Testing Urine Analyzers for Diagnosing Urinary Tract Infection.

Urinalysis is used as a screening tool in case of a clinical suspicion of urinary tract infection (UTI). The purpose of this study is to evaluate the analytical performance, agreement, and screening value of four commercial point-of-care testing (POCT) urine analyzers for UTI. The following four POCT analyzers were evaluated: Clinitek Status+, BW-200, Hipee S2, and URS-14K. The agreement of the four analyzers with the laboratory standard was assessed. The diagnostic indicators of the screening tests performed using POCT analyzers for UTI were calculated against the bacterial culture as the gold standard. Overall agreement of the four analyzers was good. For nitrite and leukocytes, all the analyzers showed substantial or excellent agreement with the laboratory reference standard, whereas agreement for erythrocytes varied from moderate to excellent. With each POCT analyzer, combined detection of nitrite, leukocytes, and erythrocytes provided better diagnostic performance than individual detection. Combined detection had higher sensitivity and negative predictive value, while the specificity and positive predictive value were higher for single detection of nitrite. Present findings demonstrate that the overall performance of the four POCT urine analyzers was sufficient for routine use for screening UTI. A result positive for nitrite is helpful for early diagnosis of UTI, and a result negative for the combination of nitrite, leukocytes, and erythrocytes is helpful for early elimination of UTI.