Search

Introduction: in spite of the introduction of automated systems for urine sediment analysis, microscopy examination remains the gold standard. External Quality Assessment (EQA) programs on urine sediment are rare. This paper provides an analysis of results from 2012 to date of the EQA Italian program (Centro di Ricerca Biomedica, Regione Veneto) which involves today 255 laboratories. Methods: the EQA program includes four surveys/year. Participants are asked to identify and provide the clinical association of the presence of specific particles (2 surveys) and formulate the diagnosis of clinical cases presented (2 surveys). In 11 years, 202 images were proposed: 64 cells (9 types), 10 lipids (4 types), 59 casts (16 types), 36 crystals (13 types), 14 microorganisms (5 types), 19 contaminants (8 types) and 22 clinical cases were presented. Results: the correct identification rate (median; interquartiles) was very high for micro organisms (96.4; 91.9-99.9); high for crystals (92.2; 80.2-96.3) and lipids (91.1; 90.5-93.6); followed by casts (87.7; 80.1-91.8); contaminants (87.3; 77.2-96.0) and cells (82.8; 74.4-91.3). For clinical associations, the rate of correct answers was 96.5 (range 48.7- 100%). For clinical cases, due to the overall rate of particle misidentification throughout surveys, only 58.6% (44.9- 68.8%) of participants achieved access to clinical diagnosis. Of these, 92,0% (78.1-95.5%) were able to indicate the correct diagnosis. Conclusions: the program can be used as a tool to improve the identification of urine particles and the knowledge of their clinical significance and to encourage specialists of laboratory medicine to correlate urine findings with other laboratory data and the clinical history of the patient, an aspect that improves the value of the day by day work. [ABSTRACT FROM AUTHOR]

Abstract: Objective: We performed a multicenter study to calculate the upper reference limits (URL) for urine particle quantification in mid-stream samples by using automated urine analyzers. Design & methods: Two laboratories tested 283 subjects using a Sysmex UF-100, two other laboratories tested 313 subjects using Sysmex UF-1000i, whereas two other laboratories tested 267 subjects using Iris IQ®200. Results: The URLs of UF-100 in females and males were 7.8/μL and 6.7/μL for epithelial cells (EC), 11.1/μL and 9.9/μL for red blood cells (RBC), 10.2/μL and 9.7/μL for white blood cells (WBC), and 0.85/μL and 0.87/μL for cylinders (CAST). The URLs of UF-1000i in females and males were 7.6/μL and 7.1/μL for EC, 12.2/μL and 11.1/μL for RBC, 11.9/μL and 11.7/μL for WBC, and 0.88/μL and 0.86/μL for CAST. The URLs of Iris IQ®200 in females and males were 7.8/μL and 6.6/μL for EC, 12.4/μL and 10.1/μL for RBC, 10.9/μL and 9.9/μL for WBC, and 1.1/μL and 1.0/μL for CAST. Conclusion: The URLs obtained in this study were comparable to the lowest values previously reported in the literature. Moreover, no gender-related difference was observed, and analyzer-specific upper reference limits were very similar. [Copyright &y& Elsevier]

Abstract: Objectives: The purpose of this Italian multicenter study was to define pediatric upper reference values for urine particle quantification by using automated flow cytometry. Design and methods: Four hospital-based clinical laboratories participated in this multicenter investigation, which included a total study population of 161 Italian children aged from 1 to 12years. Two laboratories used Sysmex UF-100 and analyzed 86 children, whereas the other two used Sysmex UF-1000i and analyzed 75 subjects. Particle quantification included the analysis of white blood cells (WBC), red blood cells (RBC), squamous epithelial cells (EC), transitional epithelial cells (TC), casts (CAST) and bacteria (BACT). Results: The upper reference values in subjects tested with the Sysmex UF-100 were 9.7WBC/μL, 10.1RBC/μL, 7.5EC/μL, 2.5TC/μL, 0.7CAST/μL and 3090BACT/μL, whereas the upper reference values in subjects tested with the Sysmex UF-1000i were 10.5WBC/μL, 8.3RBC/μL, 7.2EC/μL, 2.9TC/μL, 0.7CAST/μL and 48BACT/μL. No statistically significant differences between genders were found in the value distribution of any of the parameters tested. Similarly, no statistically significant differences were observed between the two urine analyzers, except for BACT. Conclusions: Automated analysis of urine particles appears a suitable means to optimize the workflow of routine urinalysis of children specimens. The upper reference limits for pediatric subjects obtained in this study were comparable to those previously reported in the literature, with no significant differences between genders and analyzers. [Copyright &y& Elsevier]

Background: In analogy with other areas of laboratory diagnostics, the pre-analytical phase is the leading source of variability also in urinalysis. We carried out a multicentric study for comparing results obtained from first-voided and mid-stream urine samples. Methods: Each of the six hospital-based clinical laboratories participating to this study recruited 50 healthy subjects among laboratory staff and/or their relatives. Two consecutive samples of the first morning micturition were collected by vacuum system, the first from the first-void and the second from the mid-stream. Routine urinalysis was performed using dip-stick automated analyzers for chemical examination and automated analyzers for formed particle examination (Sysmex UF-100, Sysmex UF-1000i and Iris iQ-200). Results: Counts of epithelial cells (EC), erythrocytes (ERY) and leukocytes (LEU) but not for cylinders (CAS) were significantly higher in the first-voided samples. A significantly higher count of EC, ERY and LEU was also observed between females and males in first-voided samples, whereas no significant difference could be found in mid-stream samples. Health related analyzer specific upper reference limits (URL) were CAS≤1, EC≤5, ERY≤19, Leu≤13 for UF-100; CAS≤1, EC≤4, ERY≤15, Leu≤11 for UF-1000i; CAS≤1, EC≤4, ERY≤18, Leu≤10 for iQ200. The overall prevalence of subjects with cellular elements count exceeding URL was also higher in first-voided than in mid-stream samples. Conclusions: Mid-stream urine was confirmed as the most appropriate sample, since the presence of contaminating elements, such as bacteria, analytes and formed particles are minimized. [ABSTRACT FROM AUTHOR]

The chemical, physical and morphologic urine examination has undergone radical changes over the last few years, so that the time has come for introducing further changes and modifications in various steps of this important test. The breakthroughs of new technologies have allowed making the laboratory report much more informative for the stakeholders. Nevertheless, important considerations for improving the quality throughout the testing process were also raised, especially in the preanalytical phase. Currently, it might be advisable to pursue consolidation and standardization of the analytical phase, as well as redefinition of clinical targets through construction of a complete, integrated and much more clinically meaningful report. This article aims to review the state of the art in urinalysis, as well as providing useful information for achieving more standardization and quality of this useful diagnostic test. [ABSTRACT FROM AUTHOR]

Background: The study of urine particles plays a key role in the diagnosis of kidney diseases. In this study, the authors evaluated the correlation between the UF-1000 i and quantitative manual microscopy. Methods: A total of 214 untreated urine samples were studied using the Sysmex UF-1000 i and compared with results obtained from quantitative manual microscopy using the Fuchs-Rosenthal counting chamber. Results: Using Pearson statistics, we observed satisfactory correlation between the UF-1000 i and quantitative microscopy: for red blood cells (RBCs) r was 0.98, for white blood cells (WBCs) r was 1.00, for epithelial cells (EC) r was 0.96, and for casts r was 0.69. Using linear regression statistics, we also observed satisfactory correlation between the UF-1000 i and quantitative microscopy: for RBCs R2 was 0.95, for WBCs R2 was 0.99, for EC R2 was 0.92, and for casts R2 was 0.48. Conclusions: In our experience, automated urine particle analysis performed using the Sysmex UF-1000 i analyzer is sufficiently precise and improves the workflow in a routine laboratory. Precision was satisfactory and concordance with the reference method is good for RBC, WBC and EC; for casts microscopic observation is required for flagged samples to discriminate hyaline from pathologic casts. Clin Chem Lab Med 2010;48:1107–11. [ABSTRACT FROM AUTHOR]

Abstract: Because urinary tract infections (UTIs) are a quite common disease, the gold standard for diagnosing UTIs is still bacterial culture, although a large percentage of samples are negative: unnecessary cultures can be reduced by means of an effective screening test. The analytic performance of a new urine cytometer, the UF-1000i, has been tested on 1463 urine samples submitted to our laboratory for culture. Bacteria and leukocyte counts have been compared by means of the UF-1000i with colony-forming unit (CFU) quantification on citrate lactose electrolytes deficient agar to assess the best cutoff values. By using quantitative cultures and considering as positive a sample with 10 × 105 CFU/mL, 546 positive samples (37%) were observed. If compared with 10 × 105 CFU/mL, the cutoff values obtained were 125 bacteria/μL and 40 leukocytes/ μL, respectively. Analytic parameters such as sensitivity, specificity, positive predictive value, negative predictive value, and correctly classified incidence were satisfactory. Based on the results obtained in this study, when using the UF-1000i analyzer for a screening test for UTI, a cutoff value of 40 white blood cells/μL should be adopted. The cutoff value for bacteria should be 125/μL for those clinical conditions in which 10 × 105 CFU/mL indicates a positivity. [Copyright &y& Elsevier]

In spite of the introduction of automated systems for urinary sediment analysis, microscopy examination remains the gold standard, and it is more than ever important to perform it with a good and reliable quality. External Quality Assessment (EQA) programs on urinary sediment are rare. The present paper provides an analysis of results from 2001 to date of the EQA Italian program which involves today 230 laboratories. The program includes four surveys per year. Participants are asked the identification and clinical associations of urinary sediment particles, shown as phase contrast microscopy images in the website of the Center of Biomedical Research (CRB) (2 surveys), and the diagnosis of clinical cases presented by both images and a short clinical history (2 surveys). The results of each survey are then scored and commented. In 20 years, 298 images were presented: 90 cells (9 types), 23 lipids (5 types), 87 casts (21 types), 53 crystals (14 types), 22 microorganisms (5 types), and 23 contaminants (9 types). Moreover, 27 clinical cases, covering a wide spectrum of conditions with different degrees of complexity, were presented to participants. Identification: among urinary particle categories, the correct identification rate (obtained for each particle from the sum of correct + partially correct answers) was very high for micro-organisms (mean ± SD: 96.2 ± 3.5%), high for lipids (88.0 ± 11.8%) and crystals (87.0 ± 16.5%) followed, in decreasing order, by cells (82.1 ± 15.9%), casts (81.8 ± 14.8%), and contaminants (76.7 ± 22.1%). Clinical associations (n=67): the rate of correct answers was 93.5 ± 5.7% ranging from 75.0 to 100% for all but one clinical association (i.e., acute glomerulonephritis: 55.4%). Clinical cases: throughout surveys, due to the overall rate of particle misidentification, only 59.8 ± 17.1%, (range 32.5–88.7%) of participants achieved access to clinical diagnosis. Of these, 88.7 ± 10.6% (range 59.9–99.3%) were able to indicate the correct diagnosis. Our program can be used as a tool to improve the identification of urine particles and the knowledge of their clinical meaning and to encourage specialists of laboratory medicine to correlate urinary findings with other laboratory data and the clinical history, an aspect that improves the value of the day by day work. [ABSTRACT FROM AUTHOR]

Background: Manual microscopy still represents the gold standard for urinary sediment (US) examination. We report the results obtained in the period 2012-2015 by the EQA Italian program on US, which today involves about 260 laboratories. Methods: The program includes four surveys per year. In two surveys, participants are asked to supply identification and clinical association of US particles. In two other surveys, they are asked to supply the diagnosis of clinical cases, presented with images, some key laboratory findings and a short clinical history. Sixty-six images of US particles (21 cells, 2 lipids, 21 casts, 10 crystals, 3 microorganisms, 15 contaminants) and seven clinical cases were presented. Results: The correct identification rate for each category of particles, in decreasing order, was: micro-organisms (mean±SD: 92.4%±4.5%), lipids (92.0%±1.8%), casts (82.8%±8.8%), crystals (79.4%±29.8%), cells (77.3%±13.5%), and contaminants (70.9%±22.2%). For 13 particles, a correct clinical association was indicated by 91.5%±11.7% of participants, while it was 52.7% for particles associated with urinary tract infection. For clinical cases, due to a high rate of particles misidentification, only 44.3%±10.1% of participants achieved access to clinical diagnosis, which was then correctly indicated by 92.5%±5.3% of them. Conclusions: The results of the EQA program confirm that, while some US particles are well known in terms of identification, clinical association and clinical meaning, others particles still are not, and this represents an important reason to encourage EQA programs on US. [ABSTRACT FROM AUTHOR]

The original article can be found online at https://doi.org/10.1007/s00405-020-06113-5. B Correction to: European Archives of Oto-Rhino-Laryngology (2020) 277:2947-2948 b https://doi.org/10.1007/s00405-020-06113-5 In the original publication of the article, first name and last name of all authors were published incorrectly. [Extracted from the article]

Background Urine culture is the most frequently requested test for a Microbiology Lab. A reliable screening tool would be of paramount importance both to clinicians and laboratorians, provided that it could get fast and accurate negative results in order to rule-out urinary tract infection (UTI). Materials and methods We evaluated 1907 consecutive urine samples from outpatients. Culture was performed on chromogenic agar with 1 μL loop, using 10 5 CFU/mL as a limit of positive growth. Using Sysmex Uf-1000i analyzer we evaluated bacteria forward scatter (B_FSC) and fluorescent light scatter (B_FLH) in a preliminary discrimination step for UTI caused by Gram + or Gram − bacteria. Results We got 512 positive samples. A mono-microbial infection was observed in 490 samples; two bacterial strains were isolated in 22 samples, so 534 bacterial strains were found: 392 Gram−, 133 Gram + and 9 yeasts. Comparing Gram + and Gram − bacteria we observed a statistically significant difference for B_FSC but not for B_FLH. In this application experimental cut-off value for B_FSC was 25ch. Using this cut-off to perform a presumptive identification of UTI sustained by Gram-+ bacteria, we observed a SE 0.68, SP 0.84. Conclusion Our data although preliminary suggest that B_FSC could be useful in presumptive exclusion of UTI caused by Gram-positive bacteria. [ABSTRACT FROM AUTHOR]

Abstract: Background: Urinary tract infections (UTIs) are usually diagnosed by urine particle detection and urine bacterial culturing, but an empiric treatment is often prescribed before the microbiological results are known. The aim of this study was to assess whether quantification of bacteriuria and leukocyturia could predict the outcome of empiric antibiotic therapy. Methods: By using a Sysmex UF-100 analyser, we performed a case–control study in which bact channel counts (BCCs) and leukocyte (WBC) quantification were compared in urine samples obtained from responsive patients (RPs) and non-responsive patients (NRPs) at diagnosis (t0) and 24h (t24) after the start of empiric antibacterial treatment. Results: BCCs decreased significantly from t0 (median: 30,000 E6/L) to t24 (median: 700 E6/L; p <0.001) in RPs but not in NRPs (median at t0 31,000 E6/L, and 23,000 E6/L at t24; p >0.05). Similarly, WBC counts were reduced in RPs at t24 relative to the initial values (p <0.001) but not in NRPs. A reduction of 70% in the BCC count or 60% in the WBC count of paired samples was useful for discriminating between RPs and NRPs. Conclusions: Our results suggest that quantitative time course analysis of urine BCCs and WBCs can be used to predict the success of first-line empiric treatment for UTIs. [Copyright &y& Elsevier]