Literature DB >> 19861122

Urine sediment analysis: Analytical and diagnostic performance of sediMAX - a new automated microscopy image-based urine sediment analyser.

Zahur Zaman1, Giovanni Battista Fogazzi, Giuseppe Garigali, Maria Daniela Croci, Gabor Bayer, Tunde Kránicz.   

Abstract

BACKGROUND: We evaluated the analytical and diagnostic performance of sediMAX (77 Elektronika, Budapest, Hungary), a new automated microscopy image-based urine sediment analyser (which in some countries is also called Urised) in comparison with visual phase-contrast microscopy.
METHODS: Precision, linearity, carry-over and method comparison were carried out according to well-established guidelines. The diagnostic performance with respect to visual phase-contrast microscopy was evaluated with results from two centres (n(1)=910, n(2)=1233). Uncentrifuged urine samples were used in visual microscopy in centre 1, while urine sediments were used in centre 2.
RESULTS: Within-run precision for RBC was 17.8% and 6.7% at 18xE6 RBC/L and 447xE6 RBC/L respectively and for WBC it was 17% and 4.4% at 4xE6 WBC/L and 258xE6/L respectively. Between-run imprecision for RBC was 14.7% for 30xE6/L and 7.2% for 283xE6/L. For WBC it was 5.4% at 25xE6/L and 3% at 166xE6/L. In both studies areas under ROC curves (AUC) were 80-90% for RBC, WBC, squamous epithelial cells, yeast and calcium-oxalate crystals. For non-squamous epithelial cells and pathological and hyaline casts the AUC ranged 73-74%. There was no carry-over.
CONCLUSIONS: The sediMAX is well able to count and identify RBC, WBC, squamous epithelial cells, yeast, bacteria and calcium-oxalate crystals. Recognition of pathological casts and non-squamous epithelial cells is adequate but needs to be improved. Copyright 2009 Elsevier B.V. All rights reserved.

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Year:  2009        PMID: 19861122     DOI: 10.1016/j.cca.2009.10.018

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  18 in total

1.  Bacteriuria screening by automated whole-field-image-based microscopy reduces the number of necessary urine cultures.

Authors:  Rosanna Falbo; M Roberta Sala; Silvia Signorelli; Natascia Venturi; Stefano Signorini; Paolo Brambilla
Journal:  J Clin Microbiol       Date:  2012-01-11       Impact factor: 5.948

2.  Comparison of the Automated cobas u 701 Urine Microscopy and UF-1000i Flow Cytometry Systems and Manual Microscopy in the Examination of Urine Sediments.

Authors:  Wonmok Lee; Jung-Sook Ha; Nam-Hee Ryoo
Journal:  J Clin Lab Anal       Date:  2016-02-03       Impact factor: 2.352

3.  UriSed 3 and UX-2000 automated urine sediment analyzers vs manual microscopic method: A comparative performance analysis.

Authors:  Sathima Laiwejpithaya; Preechaya Wongkrajang; Kanit Reesukumal; Chonticha Bucha; Suriya Meepanya; Chanutchaya Pattanavin; Varanya Khejonnit; Achara Chuntarut
Journal:  J Clin Lab Anal       Date:  2017-05-02       Impact factor: 2.352

4.  Urine Sediment Recognition Method Based on Multi-View Deep Residual Learning in Microscopic Image.

Authors:  Xiaohong Zhang; Liqing Jiang; Dongxu Yang; Jinyan Yan; Xinhong Lu
Journal:  J Med Syst       Date:  2019-10-23       Impact factor: 4.460

5.  Improvement in the detection of enteric protozoa from clinical stool samples using the automated urine sediment analyzer sediMAX® 2 compared to sediMAX® 1.

Authors:  J Intra; M R Sala; R Falbo; F Cappellini; P Brambilla
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2016-09-20       Impact factor: 3.267

6.  Analytical performance, agreement and user-friendliness of six point-of-care testing urine analysers for urinary tract infection in general practice.

Authors:  Marjolein J C Schot; Sanne van Delft; Antoinette M J Kooijman-Buiting; Niek J de Wit; Rogier M Hopstaken
Journal:  BMJ Open       Date:  2015-05-18       Impact factor: 2.692

7.  High False Positives and False Negatives in Yeast Parameter in an Automated Urine Sediment Analyzer.

Authors:  Ozgur Aydin; Hamit Yasar Ellidag; Esin Eren; Necat Yilmaz
Journal:  J Med Biochem       Date:  2015-07-14       Impact factor: 3.402

8.  Comparison of Cobas 6500 and Iris IQ200 fully-automated urine analyzers to manual urine microscopy.

Authors:  Ebubekir Bakan; Nurinnisa Ozturk; Nurcan Kilic Baygutalp; Elif Polat; Kadriye Akpinar; Emrullah Dorman; Harun Polat; Nuri Bakan
Journal:  Biochem Med (Zagreb)       Date:  2016-10-15       Impact factor: 2.313

9.  Diagnostic accuracy of uriSed automated urine microscopic sediment analyzer and dipstick parameters in predicting urine culture test results.

Authors:  Kağan Huysal; Yasemin U Budak; Ayse Ulusoy Karaca; Murat Aydos; Serdar Kahvecioğlu; Mehtap Bulut; Murat Polat
Journal:  Biochem Med (Zagreb)       Date:  2013       Impact factor: 2.313

10.  Prospective, observational study comparing automated and visual point-of-care urinalysis in general practice.

Authors:  Sanne van Delft; Annelijn Goedhart; Mark Spigt; Bart van Pinxteren; Niek de Wit; Rogier Hopstaken
Journal:  BMJ Open       Date:  2016-08-08       Impact factor: 2.692

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