Comparability of thyroid-stimulating hormone immunoassays using fresh frozen human sera and external quality assessment data

Background This study aimed to assess the comparability among assays using freshly frozen human sera and external quality assessment (EQA) data in China. Methods Twenty-nine serum samples and two commercial EQA materials, obtained from the National Center for Clinical Laboratories (NCCL), were analy...

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Veröffentlicht in:PloS one 2021-06, Vol.16 (6), p.e0253324-e0253324, Article 0253324
Hauptverfasser: Zhang, Shunli, Cheng, Fei, Wang, Hua, Wen, Jiangping, Zeng, Jie, Zhang, Chuanbao, Liu, Wensong, Wang, Ning, Jia, Tingting, Wang, Mo, Zhang, Rui, Yue, Yuhong, Xu, Jing, Wang, Zhanyong, Li, Yilong, Chen, Wenxiang, Wang, Qingtao
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container_issue 6
container_start_page e0253324
container_title PloS one
container_volume 16
creator Zhang, Shunli
Cheng, Fei
Wang, Hua
Wen, Jiangping
Zeng, Jie
Zhang, Chuanbao
Liu, Wensong
Wang, Ning
Jia, Tingting
Wang, Mo
Zhang, Rui
Yue, Yuhong
Xu, Jing
Wang, Zhanyong
Li, Yilong
Chen, Wenxiang
Wang, Qingtao
description Background This study aimed to assess the comparability among assays using freshly frozen human sera and external quality assessment (EQA) data in China. Methods Twenty-nine serum samples and two commercial EQA materials, obtained from the National Center for Clinical Laboratories (NCCL), were analyzed in triplicate using eight routine TSH assays. The commutability of commercial EQA materials (NCCL materials) was evaluated in accordance with the CLSI EP30-A and IFCC bias analysis. Median values obtained for the NCCL EQA materials were used to determine the systematic and commutability-related biases among immunoassays through back-calculation. The comparability of TSH measurements from a panel of clinical samples and NCCL EQA data was determined on the basis of Passing-Bablok regression. Furthermore, human serum pools were used to perform commutable EQA. Results NCCL EQA materials displayed commutability among three or five of seven assay combinations according CLSI or IFCC approach, respectively. The mean of systematic bias ranged from -13.78% to 9.85% for the eight routine TSH assays. After correcting for systematic bias, averaged commutability-related biases ranged between -42.26% and 12.19%. After correction for systematic and commutability -related biases, the slopes indicating interassay relatedness ranged from 0.801 to 1.299 using individual human sera, from 0.735 to 1.254 using NCCL EQA data, and from 0.729 to 1.115 using pooled human serum EQA(the commutable EQA). Conclusions The harmonization of TSH measurement is challenging; hence, systematic and commutability-related biases should be determined and corrected for accurate comparisons among assays when using human individual serum and the commercial EQA materials.
doi_str_mv 10.1371/journal.pone.0253324
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Methods Twenty-nine serum samples and two commercial EQA materials, obtained from the National Center for Clinical Laboratories (NCCL), were analyzed in triplicate using eight routine TSH assays. The commutability of commercial EQA materials (NCCL materials) was evaluated in accordance with the CLSI EP30-A and IFCC bias analysis. Median values obtained for the NCCL EQA materials were used to determine the systematic and commutability-related biases among immunoassays through back-calculation. The comparability of TSH measurements from a panel of clinical samples and NCCL EQA data was determined on the basis of Passing-Bablok regression. Furthermore, human serum pools were used to perform commutable EQA. Results NCCL EQA materials displayed commutability among three or five of seven assay combinations according CLSI or IFCC approach, respectively. The mean of systematic bias ranged from -13.78% to 9.85% for the eight routine TSH assays. After correcting for systematic bias, averaged commutability-related biases ranged between -42.26% and 12.19%. After correction for systematic and commutability -related biases, the slopes indicating interassay relatedness ranged from 0.801 to 1.299 using individual human sera, from 0.735 to 1.254 using NCCL EQA data, and from 0.729 to 1.115 using pooled human serum EQA(the commutable EQA). Conclusions The harmonization of TSH measurement is challenging; hence, systematic and commutability-related biases should be determined and corrected for accurate comparisons among assays when using human individual serum and the commercial EQA materials.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0253324</identifier><identifier>PMID: 34129644</identifier><language>eng</language><publisher>SAN FRANCISCO: Public Library Science</publisher><subject>Bias ; Biology and Life Sciences ; Children ; Computer and Information Sciences ; Editing ; Electronic mail ; Engineering ; Engineering and Technology ; Engineering research ; Factor analysis ; Geriatrics ; Gerontology ; Global health ; Herbal medicine ; Hospitals ; Immunoassay ; Immunoassays ; Laboratories ; Measurement ; Medical laboratories ; Medical schools ; Medicine ; Medicine and Health Sciences ; Methods ; Multidisciplinary Sciences ; Physical Sciences ; Public health ; Quality assessment ; Quality control ; Quality standards ; Research and Analysis Methods ; Research facilities ; Science &amp; Technology ; Science &amp; Technology - Other Topics ; Serum ; Standard deviation ; Standardization ; Testing ; Thyroid ; Thyroid diseases ; Thyroid-stimulating hormone ; Thyrotropin ; Traditional Chinese medicine ; Working groups</subject><ispartof>PloS one, 2021-06, Vol.16 (6), p.e0253324-e0253324, Article 0253324</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Zhang et al 2021 Zhang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>4</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000665475100043</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c669t-ff99e89a5d59042dcca334322a644cea090a64d9ab76e795eb4cd8bc95272c723</citedby><cites>FETCH-LOGICAL-c669t-ff99e89a5d59042dcca334322a644cea090a64d9ab76e795eb4cd8bc95272c723</cites><orcidid>0000-0003-0527-4388</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/PMC8205121/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205121/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2118,2932,23875,27933,27934,39267,53800,53802</link.rule.ids></links><search><contributor>Szecsi, Pal Bela</contributor><creatorcontrib>Zhang, Shunli</creatorcontrib><creatorcontrib>Cheng, Fei</creatorcontrib><creatorcontrib>Wang, Hua</creatorcontrib><creatorcontrib>Wen, Jiangping</creatorcontrib><creatorcontrib>Zeng, Jie</creatorcontrib><creatorcontrib>Zhang, Chuanbao</creatorcontrib><creatorcontrib>Liu, Wensong</creatorcontrib><creatorcontrib>Wang, Ning</creatorcontrib><creatorcontrib>Jia, Tingting</creatorcontrib><creatorcontrib>Wang, Mo</creatorcontrib><creatorcontrib>Zhang, Rui</creatorcontrib><creatorcontrib>Yue, Yuhong</creatorcontrib><creatorcontrib>Xu, Jing</creatorcontrib><creatorcontrib>Wang, Zhanyong</creatorcontrib><creatorcontrib>Li, Yilong</creatorcontrib><creatorcontrib>Chen, Wenxiang</creatorcontrib><creatorcontrib>Wang, Qingtao</creatorcontrib><title>Comparability of thyroid-stimulating hormone immunoassays using fresh frozen human sera and external quality assessment data</title><title>PloS one</title><addtitle>PLOS ONE</addtitle><description>Background This study aimed to assess the comparability among assays using freshly frozen human sera and external quality assessment (EQA) data in China. Methods Twenty-nine serum samples and two commercial EQA materials, obtained from the National Center for Clinical Laboratories (NCCL), were analyzed in triplicate using eight routine TSH assays. The commutability of commercial EQA materials (NCCL materials) was evaluated in accordance with the CLSI EP30-A and IFCC bias analysis. Median values obtained for the NCCL EQA materials were used to determine the systematic and commutability-related biases among immunoassays through back-calculation. The comparability of TSH measurements from a panel of clinical samples and NCCL EQA data was determined on the basis of Passing-Bablok regression. Furthermore, human serum pools were used to perform commutable EQA. Results NCCL EQA materials displayed commutability among three or five of seven assay combinations according CLSI or IFCC approach, respectively. The mean of systematic bias ranged from -13.78% to 9.85% for the eight routine TSH assays. After correcting for systematic bias, averaged commutability-related biases ranged between -42.26% and 12.19%. After correction for systematic and commutability -related biases, the slopes indicating interassay relatedness ranged from 0.801 to 1.299 using individual human sera, from 0.735 to 1.254 using NCCL EQA data, and from 0.729 to 1.115 using pooled human serum EQA(the commutable EQA). Conclusions The harmonization of TSH measurement is challenging; hence, systematic and commutability-related biases should be determined and corrected for accurate comparisons among assays when using human individual serum and the commercial EQA materials.</description><subject>Bias</subject><subject>Biology and Life Sciences</subject><subject>Children</subject><subject>Computer and Information Sciences</subject><subject>Editing</subject><subject>Electronic mail</subject><subject>Engineering</subject><subject>Engineering and Technology</subject><subject>Engineering research</subject><subject>Factor analysis</subject><subject>Geriatrics</subject><subject>Gerontology</subject><subject>Global health</subject><subject>Herbal medicine</subject><subject>Hospitals</subject><subject>Immunoassay</subject><subject>Immunoassays</subject><subject>Laboratories</subject><subject>Measurement</subject><subject>Medical laboratories</subject><subject>Medical schools</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Multidisciplinary Sciences</subject><subject>Physical Sciences</subject><subject>Public health</subject><subject>Quality assessment</subject><subject>Quality control</subject><subject>Quality standards</subject><subject>Research and Analysis Methods</subject><subject>Research facilities</subject><subject>Science &amp; Technology</subject><subject>Science &amp; Technology - Other Topics</subject><subject>Serum</subject><subject>Standard deviation</subject><subject>Standardization</subject><subject>Testing</subject><subject>Thyroid</subject><subject>Thyroid diseases</subject><subject>Thyroid-stimulating hormone</subject><subject>Thyrotropin</subject><subject>Traditional Chinese medicine</subject><subject>Working groups</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk2uL1DAUhoso7rr6DwQLgigyY5pL23wRlsHLwsKCt6_hND2dZmmT2SRVR_zxpjvjsiN-WArpIXne91xCsuxpQZYFq4o3l27yFoblxllcEioYo_xedlxIRhclJez-rfgoexTCJSGC1WX5MDtivKCy5Pw4-71y4wY8NGYwcZu7Lo_91jvTLkI04zRANHad986PKU1uxnGyDkKAbcinMB91HkOfVvcLbd5PI9g8oIccbJvjz4hzjfnVBNf2SYkhjGhj3kKEx9mDDoaAT_b_k-zr-3dfVh8X5xcfzlan5wtdljIuuk5KrCWIVkjCaas1MMYZpZBa0AhEkhS1EpqqxEoKbLhu60ZLQSuqK8pOsmc7383ggtoPLigq5jEIzmUiznZE6-BSbbwZwW-VA6OuN5xfK_DR6AEV5SCbLqXoas6h03WqKBVAUddClNXs9XafbWpGbHXq1sNwYHp4Yk2v1u67qikRBS2Swcu9gXdXE4aoRhM0DgNYdNOu7qrmsuAJff4P-v_u9tQaUgPGdi7l1bOpOi1LQSUtizpRy_9Q6WtxNDpdf2fS_oHg1YEgMTFd-RqmENTZ5093Zy--HbIvbrE9whD74IYpGmfDIch3oPYuBI_dzZALouZH8ncaan4kav9IkqzeyX5g47qgDVqNN1JCSMrAK1GkiLOViTAnXrnJxiR9fXcp-wN3aSaE</recordid><startdate>20210615</startdate><enddate>20210615</enddate><creator>Zhang, Shunli</creator><creator>Cheng, Fei</creator><creator>Wang, Hua</creator><creator>Wen, Jiangping</creator><creator>Zeng, Jie</creator><creator>Zhang, Chuanbao</creator><creator>Liu, Wensong</creator><creator>Wang, Ning</creator><creator>Jia, Tingting</creator><creator>Wang, Mo</creator><creator>Zhang, Rui</creator><creator>Yue, Yuhong</creator><creator>Xu, Jing</creator><creator>Wang, Zhanyong</creator><creator>Li, Yilong</creator><creator>Chen, Wenxiang</creator><creator>Wang, Qingtao</creator><general>Public Library Science</general><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0527-4388</orcidid></search><sort><creationdate>20210615</creationdate><title>Comparability of thyroid-stimulating hormone immunoassays using fresh frozen human sera and external quality assessment data</title><author>Zhang, Shunli ; 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Technology</topic><topic>Science &amp; Technology - Other Topics</topic><topic>Serum</topic><topic>Standard deviation</topic><topic>Standardization</topic><topic>Testing</topic><topic>Thyroid</topic><topic>Thyroid diseases</topic><topic>Thyroid-stimulating hormone</topic><topic>Thyrotropin</topic><topic>Traditional Chinese medicine</topic><topic>Working groups</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Shunli</creatorcontrib><creatorcontrib>Cheng, Fei</creatorcontrib><creatorcontrib>Wang, Hua</creatorcontrib><creatorcontrib>Wen, Jiangping</creatorcontrib><creatorcontrib>Zeng, Jie</creatorcontrib><creatorcontrib>Zhang, Chuanbao</creatorcontrib><creatorcontrib>Liu, Wensong</creatorcontrib><creatorcontrib>Wang, Ning</creatorcontrib><creatorcontrib>Jia, Tingting</creatorcontrib><creatorcontrib>Wang, Mo</creatorcontrib><creatorcontrib>Zhang, Rui</creatorcontrib><creatorcontrib>Yue, Yuhong</creatorcontrib><creatorcontrib>Xu, Jing</creatorcontrib><creatorcontrib>Wang, Zhanyong</creatorcontrib><creatorcontrib>Li, Yilong</creatorcontrib><creatorcontrib>Chen, Wenxiang</creatorcontrib><creatorcontrib>Wang, Qingtao</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; 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Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Shunli</au><au>Cheng, Fei</au><au>Wang, Hua</au><au>Wen, Jiangping</au><au>Zeng, Jie</au><au>Zhang, Chuanbao</au><au>Liu, Wensong</au><au>Wang, Ning</au><au>Jia, Tingting</au><au>Wang, Mo</au><au>Zhang, Rui</au><au>Yue, Yuhong</au><au>Xu, Jing</au><au>Wang, Zhanyong</au><au>Li, Yilong</au><au>Chen, Wenxiang</au><au>Wang, Qingtao</au><au>Szecsi, Pal Bela</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparability of thyroid-stimulating hormone immunoassays using fresh frozen human sera and external quality assessment data</atitle><jtitle>PloS one</jtitle><stitle>PLOS ONE</stitle><date>2021-06-15</date><risdate>2021</risdate><volume>16</volume><issue>6</issue><spage>e0253324</spage><epage>e0253324</epage><pages>e0253324-e0253324</pages><artnum>0253324</artnum><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Background This study aimed to assess the comparability among assays using freshly frozen human sera and external quality assessment (EQA) data in China. Methods Twenty-nine serum samples and two commercial EQA materials, obtained from the National Center for Clinical Laboratories (NCCL), were analyzed in triplicate using eight routine TSH assays. The commutability of commercial EQA materials (NCCL materials) was evaluated in accordance with the CLSI EP30-A and IFCC bias analysis. Median values obtained for the NCCL EQA materials were used to determine the systematic and commutability-related biases among immunoassays through back-calculation. The comparability of TSH measurements from a panel of clinical samples and NCCL EQA data was determined on the basis of Passing-Bablok regression. Furthermore, human serum pools were used to perform commutable EQA. Results NCCL EQA materials displayed commutability among three or five of seven assay combinations according CLSI or IFCC approach, respectively. The mean of systematic bias ranged from -13.78% to 9.85% for the eight routine TSH assays. After correcting for systematic bias, averaged commutability-related biases ranged between -42.26% and 12.19%. After correction for systematic and commutability -related biases, the slopes indicating interassay relatedness ranged from 0.801 to 1.299 using individual human sera, from 0.735 to 1.254 using NCCL EQA data, and from 0.729 to 1.115 using pooled human serum EQA(the commutable EQA). Conclusions The harmonization of TSH measurement is challenging; hence, systematic and commutability-related biases should be determined and corrected for accurate comparisons among assays when using human individual serum and the commercial EQA materials.</abstract><cop>SAN FRANCISCO</cop><pub>Public Library Science</pub><pmid>34129644</pmid><doi>10.1371/journal.pone.0253324</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-0527-4388</orcidid><oa>free_for_read</oa></addata></record>
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subjects Bias
Biology and Life Sciences
Children
Computer and Information Sciences
Editing
Electronic mail
Engineering
Engineering and Technology
Engineering research
Factor analysis
Geriatrics
Gerontology
Global health
Herbal medicine
Hospitals
Immunoassay
Immunoassays
Laboratories
Measurement
Medical laboratories
Medical schools
Medicine
Medicine and Health Sciences
Methods
Multidisciplinary Sciences
Physical Sciences
Public health
Quality assessment
Quality control
Quality standards
Research and Analysis Methods
Research facilities
Science & Technology
Science & Technology - Other Topics
Serum
Standard deviation
Standardization
Testing
Thyroid
Thyroid diseases
Thyroid-stimulating hormone
Thyrotropin
Traditional Chinese medicine
Working groups
title Comparability of thyroid-stimulating hormone immunoassays using fresh frozen human sera and external quality assessment data
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