Evaluation of a Fully Automated Antinuclear Antibody Indirect Immunofluorescence Assay in Routine Use
Indirect immunofluorescence assay (IFA) using HEp-2 cells as a substrate is the gold standard for detecting antinuclear antibodies (ANA) in patient serum. However, the ANA IFA has labor-intensive nature of the procedure and lacks adequate standardization. To overcome these drawbacks, the automation...
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creator | Choi, Hyun-Woo Kwon, Yong Jun Park, Ju-Heon Lee, Seung-Yeob Chun, Sejong Won, Eun Jeong Lee, Jun Hyung Choi, Hyun-Jung Kim, Soo Hyun Shin, Myung-Geun Shin, Jong-Hee Kee, Seung-Jung |
description | Indirect immunofluorescence assay (IFA) using HEp-2 cells as a substrate is the gold standard for detecting antinuclear antibodies (ANA) in patient serum. However, the ANA IFA has labor-intensive nature of the procedure and lacks adequate standardization. To overcome these drawbacks, the automation has been developed and implemented to the clinical laboratory. The purposes of this study were to evaluate the analytical performance of a fully automated Helios ANA IFA analyzer in a real-life laboratory setting, and to compare the time and the cost of ANA IFA testing before and after adopting the Helios system. A total of 3,276 consecutive serum samples were analyzed for ANA using the Helios system from May to August 2019. The positive/negative results, staining patterns, and endpoint titers were compared between Helios and visual readings. Furthermore, the turnaround time and the number of wells used were compared before and after the introduction of Helios system. Of the 3,276 samples tested, 748 were positive and 2,528 were negative based on visual readings. Using visual reading as the reference standard, the overall relative sensitivity, relative specificity, and concordance of Helios reading were 73.3, 99.4, and 93.4% (kappa = 0.80), respectively. For pattern recognition, the overall agreement was 70.1% (298/425) for single patterns, and 72.4% (89/123) for mixed patterns. For titration, there was an agreement of 75.9% (211/278) between automated and classical endpoint titers by regarding within +/- one titer difference as acceptable. Helios significantly shortened the median turnaround time from 100.6 to 55.7 h (P < 0.0001). Furthermore, routine use of the system reduced the average number of wells used per test from 4 to 1.5. Helios shows good agreement in distinguishing between positive and negative results. However, it still has limitations in positive/negative discrimination, pattern recognition, and endpoint titer prediction, requiring additional validation of results by human observers. Helios provides significant advantages in routine laboratory ANA IFA work in terms of labor, time, and cost savings. We hope that upgrading and developing softwares with more reliable capabilities will allow automated ANA IFA analyzers to be fully integrated into the routine operations of the clinical laboratory. |
doi_str_mv | 10.3389/fimmu.2020.607541 |
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However, the ANA IFA has labor-intensive nature of the procedure and lacks adequate standardization. To overcome these drawbacks, the automation has been developed and implemented to the clinical laboratory. The purposes of this study were to evaluate the analytical performance of a fully automated Helios ANA IFA analyzer in a real-life laboratory setting, and to compare the time and the cost of ANA IFA testing before and after adopting the Helios system. A total of 3,276 consecutive serum samples were analyzed for ANA using the Helios system from May to August 2019. The positive/negative results, staining patterns, and endpoint titers were compared between Helios and visual readings. Furthermore, the turnaround time and the number of wells used were compared before and after the introduction of Helios system. Of the 3,276 samples tested, 748 were positive and 2,528 were negative based on visual readings. Using visual reading as the reference standard, the overall relative sensitivity, relative specificity, and concordance of Helios reading were 73.3, 99.4, and 93.4% (kappa = 0.80), respectively. For pattern recognition, the overall agreement was 70.1% (298/425) for single patterns, and 72.4% (89/123) for mixed patterns. For titration, there was an agreement of 75.9% (211/278) between automated and classical endpoint titers by regarding within +/- one titer difference as acceptable. Helios significantly shortened the median turnaround time from 100.6 to 55.7 h (P < 0.0001). Furthermore, routine use of the system reduced the average number of wells used per test from 4 to 1.5. Helios shows good agreement in distinguishing between positive and negative results. However, it still has limitations in positive/negative discrimination, pattern recognition, and endpoint titer prediction, requiring additional validation of results by human observers. Helios provides significant advantages in routine laboratory ANA IFA work in terms of labor, time, and cost savings. We hope that upgrading and developing softwares with more reliable capabilities will allow automated ANA IFA analyzers to be fully integrated into the routine operations of the clinical laboratory.</description><identifier>ISSN: 1664-3224</identifier><identifier>EISSN: 1664-3224</identifier><identifier>DOI: 10.3389/fimmu.2020.607541</identifier><identifier>PMID: 33343581</identifier><language>eng</language><publisher>LAUSANNE: Frontiers Media Sa</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Antibodies, Antineutrophil Cytoplasmic - blood ; antinuclear antibody ; automation ; Automation, Laboratory ; Cell Line ; Child ; Child, Preschool ; Cost Savings ; Cost-Benefit Analysis ; Female ; Fluorescent Antibody Technique, Indirect - economics ; Humans ; immunofluorescence assay ; Immunology ; Infant ; Life Sciences & Biomedicine ; Male ; Middle Aged ; pattern recognition ; Pattern Recognition, Automated - economics ; Predictive Value of Tests ; Reproducibility of Results ; Science & Technology ; Time Factors ; titer estimation ; Workflow ; Young Adult</subject><ispartof>Frontiers in immunology, 2020-12, Vol.11, p.607541, Article 607541</ispartof><rights>Copyright © 2020 Choi, Kwon, Park, Lee, Chun, Won, Lee, Choi, Kim, Shin, Shin and Kee.</rights><rights>Copyright © 2020 Choi, Kwon, Park, Lee, Chun, Won, Lee, Choi, Kim, Shin, Shin and Kee 2020 Choi, Kwon, Park, Lee, Chun, Won, Lee, Choi, Kim, Shin, Shin and Kee</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>10</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000599609500001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c465t-b5d0e4134462d1df8d35bdcd57998e3a6c0b61cc7f8c9c0eaea07a632be325373</citedby><cites>FETCH-LOGICAL-c465t-b5d0e4134462d1df8d35bdcd57998e3a6c0b61cc7f8c9c0eaea07a632be325373</cites><orcidid>0000-0003-2901-5962 ; 0000-0001-7462-5802</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746920/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746920/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2115,27929,27930,28253,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33343581$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Choi, Hyun-Woo</creatorcontrib><creatorcontrib>Kwon, Yong Jun</creatorcontrib><creatorcontrib>Park, Ju-Heon</creatorcontrib><creatorcontrib>Lee, Seung-Yeob</creatorcontrib><creatorcontrib>Chun, Sejong</creatorcontrib><creatorcontrib>Won, Eun Jeong</creatorcontrib><creatorcontrib>Lee, Jun Hyung</creatorcontrib><creatorcontrib>Choi, Hyun-Jung</creatorcontrib><creatorcontrib>Kim, Soo Hyun</creatorcontrib><creatorcontrib>Shin, Myung-Geun</creatorcontrib><creatorcontrib>Shin, Jong-Hee</creatorcontrib><creatorcontrib>Kee, Seung-Jung</creatorcontrib><title>Evaluation of a Fully Automated Antinuclear Antibody Indirect Immunofluorescence Assay in Routine Use</title><title>Frontiers in immunology</title><addtitle>FRONT IMMUNOL</addtitle><addtitle>Front Immunol</addtitle><description>Indirect immunofluorescence assay (IFA) using HEp-2 cells as a substrate is the gold standard for detecting antinuclear antibodies (ANA) in patient serum. However, the ANA IFA has labor-intensive nature of the procedure and lacks adequate standardization. To overcome these drawbacks, the automation has been developed and implemented to the clinical laboratory. The purposes of this study were to evaluate the analytical performance of a fully automated Helios ANA IFA analyzer in a real-life laboratory setting, and to compare the time and the cost of ANA IFA testing before and after adopting the Helios system. A total of 3,276 consecutive serum samples were analyzed for ANA using the Helios system from May to August 2019. The positive/negative results, staining patterns, and endpoint titers were compared between Helios and visual readings. Furthermore, the turnaround time and the number of wells used were compared before and after the introduction of Helios system. Of the 3,276 samples tested, 748 were positive and 2,528 were negative based on visual readings. Using visual reading as the reference standard, the overall relative sensitivity, relative specificity, and concordance of Helios reading were 73.3, 99.4, and 93.4% (kappa = 0.80), respectively. For pattern recognition, the overall agreement was 70.1% (298/425) for single patterns, and 72.4% (89/123) for mixed patterns. For titration, there was an agreement of 75.9% (211/278) between automated and classical endpoint titers by regarding within +/- one titer difference as acceptable. Helios significantly shortened the median turnaround time from 100.6 to 55.7 h (P < 0.0001). Furthermore, routine use of the system reduced the average number of wells used per test from 4 to 1.5. Helios shows good agreement in distinguishing between positive and negative results. However, it still has limitations in positive/negative discrimination, pattern recognition, and endpoint titer prediction, requiring additional validation of results by human observers. Helios provides significant advantages in routine laboratory ANA IFA work in terms of labor, time, and cost savings. We hope that upgrading and developing softwares with more reliable capabilities will allow automated ANA IFA analyzers to be fully integrated into the routine operations of the clinical laboratory.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Antibodies, Antineutrophil Cytoplasmic - blood</subject><subject>antinuclear antibody</subject><subject>automation</subject><subject>Automation, Laboratory</subject><subject>Cell Line</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cost Savings</subject><subject>Cost-Benefit Analysis</subject><subject>Female</subject><subject>Fluorescent Antibody Technique, Indirect - economics</subject><subject>Humans</subject><subject>immunofluorescence assay</subject><subject>Immunology</subject><subject>Infant</subject><subject>Life Sciences & Biomedicine</subject><subject>Male</subject><subject>Middle Aged</subject><subject>pattern recognition</subject><subject>Pattern Recognition, Automated - economics</subject><subject>Predictive Value of Tests</subject><subject>Reproducibility of Results</subject><subject>Science & Technology</subject><subject>Time Factors</subject><subject>titer estimation</subject><subject>Workflow</subject><subject>Young Adult</subject><issn>1664-3224</issn><issn>1664-3224</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNqNUk1r3DAQNaWlCWl-QC9Fx0LZrb5tXQrLkrQLgUJpzkKWxqmCbaX6SNl_X-06XZJbdZlBeu_NjN40zXuC14x16vPgp6msKaZ4LXErOHnVnBMp-YpRyl8_y8-ay5TucT1cMcbE2-asBs5ER84buHo0YzHZhxmFARl0XcZxjzYlh8lkcGgzZz8XO4KJx7wPbo92s_MRbEa72sMchrGECMnCbAFtUjJ75Gf0I5RKBXSb4F3zZjBjgsuneNHcXl_93H5b3Xz_uttublaWS5FXvXAYOGGcS-qIGzrHRO-sE61SHTAjLe4lsbYdOqssBgMGt0Yy2gOjgrXsotktui6Ye_0Q_WTiXgfj9fEixDttYvZ1Gt0xZnpsBbCu59RQpQyXBncWi5aK7qD1ZdF6KP0Erg6XoxlfiL58mf0vfRceddtyqSiuAh-fBGL4XSBlPfn6R-NoZgglacpbIhgXhFUoWaA2hpQiDKcyBOuD2_rotj64rRe3K-fD8_5OjH_eVkC3AP5AH4Zk_cGeE6yug1BKYiUOm0G2Ph-XYBvKnCv10_9T2V-AWMjq</recordid><startdate>20201204</startdate><enddate>20201204</enddate><creator>Choi, Hyun-Woo</creator><creator>Kwon, Yong Jun</creator><creator>Park, Ju-Heon</creator><creator>Lee, Seung-Yeob</creator><creator>Chun, Sejong</creator><creator>Won, Eun Jeong</creator><creator>Lee, Jun Hyung</creator><creator>Choi, Hyun-Jung</creator><creator>Kim, Soo Hyun</creator><creator>Shin, Myung-Geun</creator><creator>Shin, Jong-Hee</creator><creator>Kee, Seung-Jung</creator><general>Frontiers Media Sa</general><general>Frontiers Media S.A</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2901-5962</orcidid><orcidid>https://orcid.org/0000-0001-7462-5802</orcidid></search><sort><creationdate>20201204</creationdate><title>Evaluation of a Fully Automated Antinuclear Antibody Indirect Immunofluorescence Assay in Routine Use</title><author>Choi, Hyun-Woo ; Kwon, Yong Jun ; Park, Ju-Heon ; Lee, Seung-Yeob ; Chun, Sejong ; Won, Eun Jeong ; Lee, Jun Hyung ; Choi, Hyun-Jung ; Kim, Soo Hyun ; Shin, Myung-Geun ; Shin, Jong-Hee ; Kee, Seung-Jung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c465t-b5d0e4134462d1df8d35bdcd57998e3a6c0b61cc7f8c9c0eaea07a632be325373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Antibodies, Antineutrophil Cytoplasmic - blood</topic><topic>antinuclear antibody</topic><topic>automation</topic><topic>Automation, Laboratory</topic><topic>Cell Line</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Cost Savings</topic><topic>Cost-Benefit Analysis</topic><topic>Female</topic><topic>Fluorescent Antibody Technique, Indirect - economics</topic><topic>Humans</topic><topic>immunofluorescence assay</topic><topic>Immunology</topic><topic>Infant</topic><topic>Life Sciences & Biomedicine</topic><topic>Male</topic><topic>Middle Aged</topic><topic>pattern recognition</topic><topic>Pattern Recognition, Automated - economics</topic><topic>Predictive Value of Tests</topic><topic>Reproducibility of Results</topic><topic>Science & Technology</topic><topic>Time Factors</topic><topic>titer estimation</topic><topic>Workflow</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Choi, Hyun-Woo</creatorcontrib><creatorcontrib>Kwon, Yong Jun</creatorcontrib><creatorcontrib>Park, Ju-Heon</creatorcontrib><creatorcontrib>Lee, Seung-Yeob</creatorcontrib><creatorcontrib>Chun, Sejong</creatorcontrib><creatorcontrib>Won, Eun Jeong</creatorcontrib><creatorcontrib>Lee, Jun Hyung</creatorcontrib><creatorcontrib>Choi, Hyun-Jung</creatorcontrib><creatorcontrib>Kim, Soo Hyun</creatorcontrib><creatorcontrib>Shin, Myung-Geun</creatorcontrib><creatorcontrib>Shin, Jong-Hee</creatorcontrib><creatorcontrib>Kee, Seung-Jung</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Frontiers in immunology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Choi, Hyun-Woo</au><au>Kwon, Yong Jun</au><au>Park, Ju-Heon</au><au>Lee, Seung-Yeob</au><au>Chun, Sejong</au><au>Won, Eun Jeong</au><au>Lee, Jun Hyung</au><au>Choi, Hyun-Jung</au><au>Kim, Soo Hyun</au><au>Shin, Myung-Geun</au><au>Shin, Jong-Hee</au><au>Kee, Seung-Jung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of a Fully Automated Antinuclear Antibody Indirect Immunofluorescence Assay in Routine Use</atitle><jtitle>Frontiers in immunology</jtitle><stitle>FRONT IMMUNOL</stitle><addtitle>Front Immunol</addtitle><date>2020-12-04</date><risdate>2020</risdate><volume>11</volume><spage>607541</spage><pages>607541-</pages><artnum>607541</artnum><issn>1664-3224</issn><eissn>1664-3224</eissn><abstract>Indirect immunofluorescence assay (IFA) using HEp-2 cells as a substrate is the gold standard for detecting antinuclear antibodies (ANA) in patient serum. However, the ANA IFA has labor-intensive nature of the procedure and lacks adequate standardization. To overcome these drawbacks, the automation has been developed and implemented to the clinical laboratory. The purposes of this study were to evaluate the analytical performance of a fully automated Helios ANA IFA analyzer in a real-life laboratory setting, and to compare the time and the cost of ANA IFA testing before and after adopting the Helios system. A total of 3,276 consecutive serum samples were analyzed for ANA using the Helios system from May to August 2019. The positive/negative results, staining patterns, and endpoint titers were compared between Helios and visual readings. Furthermore, the turnaround time and the number of wells used were compared before and after the introduction of Helios system. Of the 3,276 samples tested, 748 were positive and 2,528 were negative based on visual readings. Using visual reading as the reference standard, the overall relative sensitivity, relative specificity, and concordance of Helios reading were 73.3, 99.4, and 93.4% (kappa = 0.80), respectively. For pattern recognition, the overall agreement was 70.1% (298/425) for single patterns, and 72.4% (89/123) for mixed patterns. For titration, there was an agreement of 75.9% (211/278) between automated and classical endpoint titers by regarding within +/- one titer difference as acceptable. Helios significantly shortened the median turnaround time from 100.6 to 55.7 h (P < 0.0001). Furthermore, routine use of the system reduced the average number of wells used per test from 4 to 1.5. Helios shows good agreement in distinguishing between positive and negative results. However, it still has limitations in positive/negative discrimination, pattern recognition, and endpoint titer prediction, requiring additional validation of results by human observers. Helios provides significant advantages in routine laboratory ANA IFA work in terms of labor, time, and cost savings. We hope that upgrading and developing softwares with more reliable capabilities will allow automated ANA IFA analyzers to be fully integrated into the routine operations of the clinical laboratory.</abstract><cop>LAUSANNE</cop><pub>Frontiers Media Sa</pub><pmid>33343581</pmid><doi>10.3389/fimmu.2020.607541</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-2901-5962</orcidid><orcidid>https://orcid.org/0000-0001-7462-5802</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Antibodies, Antineutrophil Cytoplasmic - blood antinuclear antibody automation Automation, Laboratory Cell Line Child Child, Preschool Cost Savings Cost-Benefit Analysis Female Fluorescent Antibody Technique, Indirect - economics Humans immunofluorescence assay Immunology Infant Life Sciences & Biomedicine Male Middle Aged pattern recognition Pattern Recognition, Automated - economics Predictive Value of Tests Reproducibility of Results Science & Technology Time Factors titer estimation Workflow Young Adult |
title | Evaluation of a Fully Automated Antinuclear Antibody Indirect Immunofluorescence Assay in Routine Use |
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