Literature DB >> 27802413

Validation and verification of automated urine particle analysers.

Giuseppe Enrico Bignardi.   

Abstract

There is often uncertainty on how validation and verification of newly introduced tests should be conducted, and there is a real risk of verification becoming a meaningless ritual, rather than a useful exercise. This article reviews the literature and makes recommendations regarding the validation and verification of automated urine particles analysers. A generic practical approach to verification is also recommended. For many analysers, the accuracy of white blood cells, epithelial cells and bacterial counts is corroborated by a number of independent evaluations; thus, any verification laboratory work could be significantly scaled down. Conversely, in the scenario that automated urine microscopy is used as a screening test to reduce the number of urines cultured, the extremely variable performance reported in the literature requires a full-scale verification to define the optimal cut-off values that give a sensitivity of >98% with the local settings and circumstances. With some analysers, the risk of carry-over also needs to be assessed, as part of the verification process, and exclusion criteria (urines requiring culture regardless of the microscopy results) need to be well defined, as there are patients or specimen types for which the performance of microscopy as a screening test may not be adequate. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  AUTOMATION; INFECTIONS; URINE

Mesh:

Year:  2016        PMID: 27802413     DOI: 10.1136/jclinpath-2016-203958

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  5 in total

Review 1.  New and developing diagnostic technologies for urinary tract infections.

Authors:  Michael Davenport; Kathleen E Mach; Linda M Dairiki Shortliffe; Niaz Banaei; Tza-Huei Wang; Joseph C Liao
Journal:  Nat Rev Urol       Date:  2017-03-01       Impact factor: 14.432

2.  The results of external quality assessment programme on urine leukocyte and erythrocyte counting in Poland.

Authors:  Agnieszka Ćwiklińska; Robert Kowalski; Barbara Kortas-Stempak; Agnieszka Kuchta; Aleksandra Fijałkowska; Gabriela Bednarczuk; Maciej Jankowski
Journal:  Biochem Med (Zagreb)       Date:  2020-06-15       Impact factor: 2.313

3.  Automated urinalysis combining physicochemical analysis, on-board centrifugation, and digital imaging in one system: A multicenter performance evaluation of the cobas 6500 urine work area.

Authors:  Christa M Cobbaert; Figen Arslan; Imma Caballé Martín; Antoni Alsius Serra; Ester Picó-Plana; Víctor Sánchez-Margalet; Antonio Carmona-Fernández; John Burden; André Ziegler; Walter Bechel
Journal:  Pract Lab Med       Date:  2019-09-19

Review 4.  More than meets the I(ris): Use of manual urine microscopy to complement automated findings in acute kidney injury.

Authors:  Melanie P Hoenig; Jose D Mena; Stewart H Lecker
Journal:  Pract Lab Med       Date:  2022-02-07

Review 5.  Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs).

Authors:  Jennifer C Goldsack; Andrea Coravos; Jessie P Bakker; Brinnae Bent; Ariel V Dowling; Cheryl Fitzer-Attas; Alan Godfrey; Job G Godino; Ninad Gujar; Elena Izmailova; Christine Manta; Barry Peterson; Benjamin Vandendriessche; William A Wood; Ke Will Wang; Jessilyn Dunn
Journal:  NPJ Digit Med       Date:  2020-04-14
  5 in total

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