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Automated evaluation of ANA under real-life conditions
INTRODUCTION: Visual evaluation of indirect immunofluorescence (IIF) on human epithelial-2 cells is the routine method for screening for antinuclear antibodies (ANA) in connective tissue diseases. Since visual IIF is time-consuming and subjective, automated IIF processors have been developed to offe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566624/ https://www.ncbi.nlm.nih.gov/pubmed/28848653 http://dx.doi.org/10.1136/rmdopen-2016-000409 |
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author | Loock, Clemens Dario Egerer, Karl Feist, Eugen Burmester, Gerd-Rüdiger |
author_facet | Loock, Clemens Dario Egerer, Karl Feist, Eugen Burmester, Gerd-Rüdiger |
author_sort | Loock, Clemens Dario |
collection | PubMed |
description | INTRODUCTION: Visual evaluation of indirect immunofluorescence (IIF) on human epithelial-2 cells is the routine method for screening for antinuclear antibodies (ANA) in connective tissue diseases. Since visual IIF is time-consuming and subjective, automated IIF processors have been developed to offer standardised, valid and cost-efficient IIF assays. OBJECTIVE: The aim of this study was to determine the diagnostic reliability of 2 widely used IIF processors (Aklides, Medipan GmbH and Helios, Aesku Diagnostics) under real-life laboratory working conditions. METHODS: ANA were determined in samples from patients with suspected autoimmune rheumatic disease (n=1008) using both automated IIF processors and compared with the results obtained by visual interpretation. The performance of IIF processors to discriminate positive from negative samples, pattern recognition and end point titre prediction were evaluated. RESULTS: The IIF processors showed moderate agreement with visual interpretation in discriminating positive from negative ANA samples (κ values: Aklides 0.494; Helios 0.415). The sensitivity/specificity was 89%/59% for Aklides and 87%/54% for Helios. However, both processors correctly identified 99% of definitely positive samples (titre ≥1:320). Aklides correctly identified 43% of fluorescence patterns and its light intensity values showed good correlation (Spearman's ρ=0.680) with visually obtained titres. CONCLUSIONS: Automated IIF determination under real-life laboratory working conditions remains a challenge. Owing to their high sensitivity at clinically relevant ANA titres, automated IIF processors can already support but not totally replace visual IIF. |
format | Online Article Text |
id | pubmed-5566624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-55666242017-08-28 Automated evaluation of ANA under real-life conditions Loock, Clemens Dario Egerer, Karl Feist, Eugen Burmester, Gerd-Rüdiger RMD Open Autoimmunity INTRODUCTION: Visual evaluation of indirect immunofluorescence (IIF) on human epithelial-2 cells is the routine method for screening for antinuclear antibodies (ANA) in connective tissue diseases. Since visual IIF is time-consuming and subjective, automated IIF processors have been developed to offer standardised, valid and cost-efficient IIF assays. OBJECTIVE: The aim of this study was to determine the diagnostic reliability of 2 widely used IIF processors (Aklides, Medipan GmbH and Helios, Aesku Diagnostics) under real-life laboratory working conditions. METHODS: ANA were determined in samples from patients with suspected autoimmune rheumatic disease (n=1008) using both automated IIF processors and compared with the results obtained by visual interpretation. The performance of IIF processors to discriminate positive from negative samples, pattern recognition and end point titre prediction were evaluated. RESULTS: The IIF processors showed moderate agreement with visual interpretation in discriminating positive from negative ANA samples (κ values: Aklides 0.494; Helios 0.415). The sensitivity/specificity was 89%/59% for Aklides and 87%/54% for Helios. However, both processors correctly identified 99% of definitely positive samples (titre ≥1:320). Aklides correctly identified 43% of fluorescence patterns and its light intensity values showed good correlation (Spearman's ρ=0.680) with visually obtained titres. CONCLUSIONS: Automated IIF determination under real-life laboratory working conditions remains a challenge. Owing to their high sensitivity at clinically relevant ANA titres, automated IIF processors can already support but not totally replace visual IIF. BMJ Publishing Group 2017-04-24 /pmc/articles/PMC5566624/ /pubmed/28848653 http://dx.doi.org/10.1136/rmdopen-2016-000409 Text en 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/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Autoimmunity Loock, Clemens Dario Egerer, Karl Feist, Eugen Burmester, Gerd-Rüdiger Automated evaluation of ANA under real-life conditions |
title | Automated evaluation of ANA under real-life conditions |
title_full | Automated evaluation of ANA under real-life conditions |
title_fullStr | Automated evaluation of ANA under real-life conditions |
title_full_unstemmed | Automated evaluation of ANA under real-life conditions |
title_short | Automated evaluation of ANA under real-life conditions |
title_sort | automated evaluation of ana under real-life conditions |
topic | Autoimmunity |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566624/ https://www.ncbi.nlm.nih.gov/pubmed/28848653 http://dx.doi.org/10.1136/rmdopen-2016-000409 |
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