The role of automated urine particle flow cytometry in clinical practice

Delanghe, Joris; Kouri, Timo; Huber, Andreas; Hannemann-Pohl, Kurt; Guder, W. G.; Lun, Andreas; Sinha, Pranav; Stamminger, Gudrun; Beier, L

doi:10.1016/s0009-8981(00)00342-9

Cited by 117 publications

(74 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Automation may be helpful in solving these problems and improves the accuracy and precision of urine sediment analysis. Several studies compared automated image-based analysis systems and/or flow cytometer-based systems with manual microscopy (6,(19)(20)(21)(22)(23)(24)(25)(26)(27), and most recognized the accuracy and precision of automated systems (28)(29)(30)(31)(32), as well as their feasibility as routine screening tools (8,10,17,18,33,34).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Therefore, careful manual microscopic reinspection is recommended (11,31,37). Unlike the UF-100, the iQ200 system recognizes the different morphology of crystals, which can be used for subdifferentiation.…”

Section: Crystalsmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…(Delanghe et al, 2000;Hoberman and Wald, 1997) it is serious ailment in human due to the frequency, recurrence and difficulty in eradication UTI poses stiff challenge to the medical professionals. UTI is much more common in women than in men, due to anatomic and physiological reasons (Fihn, 2003).…”

Section: Introductionmentioning

confidence: 99%

Prevalence and Antibiotics Susceptibility of Uropathogens in Patients from a Rural Environment, Tamilnadu

Arjunan¹,

Al‐Salamah²,

Amuthan³

et al. 2010

American Journal of Infectious Diseases

View full text Add to dashboard Cite

Problem statement: Urinary Tract Infections (UTIs) in human, rural environment cause significant morbidity due to insanitary condition, lack of knowledge of personal hygiene, lack of patient's compliance and economic burden. In our study, the bacterial etiologies and the resistance patterns found in human with serious UTIs and selecting optimal antimicrobial therapy. Approach: A total of 105 patients first morning mid stream urine samples, culture was done by the calibrated loop technique delivering 0.001 mL of urine plated on Cystine-Lactose-Electrolyte Deficient (CLED) agar, MacConkey agar and Blood agar medium (Hi Media, India) for isolation of uropathogens. All pathogens were analyzed for drug susceptibility by disk diffusion method. Results: More than 50% of them were confirmed to have UTI bacteriological positive. Women and man especially in the age group of 20-29 had higher incidence of bacterial infection. A total of 58 isolates seven different uropathogens were identified among the Escherichia coli (31%) was dominant pathogens followed by Citrobacter spp., (20%) and Pseudomonas aeruginosa (17.24%). In all uropathogens antibiotics susceptibility the more active agents were norfloxacin (87.93%), ciprofloxacin (70.68%), gentamicin (70.68%), nalidixic acid (68.96%), nitrofurantoine (60.34%) and tetracycline (60.34%) and less active in ampicillin (8.62%), rifampicin (37.93%) and carbenicillin (41.37%). Conclusion: Among commonly used antimicrobial agents for the treatment of UTI, there is a trend towards increasing resistance to ampicillin and a persistently low resistance rate to norfloxacin, ciprofloxacin and gentamicin should be consider for treatment.

show abstract

“…In most cases, rapid tests are used for initial treatment. Urinalysis is one of the most important tests used in clinical laboratories in the diagnosis and follow-up of UTI [2]. Microscopic-urine-sediment analysis has been the methodology most used for examining urine cells, particles and microorganisms.…”

mentioning

confidence: 99%

“…The feasibility of a flow-cytometry urinalysis for selecting samples that require microscopic examination has been previously discussed [2][3][4][5]. We evaluated the individual parameters and crosschecked Sysmex UF-100 data with results obtained with dipstick testing and microscopic-inspection urinalysis to predict UTI, using the results of urine culture as a reference method.…”

mentioning

confidence: 99%

Evaluation of urinalysis parameters to predict urinary-tract infection

Santos¹,

Weber²,

Perez³

2007

Braz J Infect Dis

View full text Add to dashboard Cite

We evaluated the performance of automated-flow cytometry, urinalysis dipsticks and microscopic urine sediment analysis as predictors of urinary tract infection. Urine cultures were used as a reference method for comparison. Six-hundred-seventy-five urine samples from hospitalized and not hospitalized patients attended at Hospital Mãe de Deus, Porto Alegre, in south Brazil, were included in the study. Among the individual measures analyzed, intense bacteriuria in the microscopic analysis of urinary sediment gave an accuracy of 92.9%. A combination between intense bacteriuria (microscopic analysis) and >20 leukocytes per μ μ μ μ μL of urine (flow cytometry) gave a higher accuracy (97.3%). We conclude that though it is laborious, microscopic urinalysis is a good analytical tool. Taken together with flow cytometry and dipsticks, we obtained a clinically-acceptable prediction of urinary-tract infection.

show abstract

The role of automated urine particle flow cytometry in clinical practice

Cited by 117 publications

References 26 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

Prevalence and Antibiotics Susceptibility of Uropathogens in Patients from a Rural Environment, Tamilnadu

Evaluation of urinalysis parameters to predict urinary-tract infection

Contact Info

Product

Resources

About