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Sample‐to‐cutoff ratios using Architect HIV Ag/Ab Combo: The influence with the results of supplemental tests and optimal cutoff value to predict HIV infection

BACKGROUND: The Architect HIV Ag/Ab Combo has excellent performance for HIV screening; however, the false‐positive rate (FPR) was high in low HIV prevalence setting. OBJECTIVES: The purpose of this study was to analyze the influence of sample‐to‐cutoff (s/co) ratios by Architect HIV Ag/Ab Combo with...

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Autores principales: Wang, Linchuan, Wang, Jing‐Yuan, Tian, Xu‐Dong, Ruan, Jin‐xiong, Yu, Yan, Yan, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595311/
https://www.ncbi.nlm.nih.gov/pubmed/30803030
http://dx.doi.org/10.1002/jcla.22866
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author Wang, Linchuan
Wang, Jing‐Yuan
Tian, Xu‐Dong
Ruan, Jin‐xiong
Yu, Yan
Yan, Fang
author_facet Wang, Linchuan
Wang, Jing‐Yuan
Tian, Xu‐Dong
Ruan, Jin‐xiong
Yu, Yan
Yan, Fang
author_sort Wang, Linchuan
collection PubMed
description BACKGROUND: The Architect HIV Ag/Ab Combo has excellent performance for HIV screening; however, the false‐positive rate (FPR) was high in low HIV prevalence setting. OBJECTIVES: The purpose of this study was to analyze the influence of sample‐to‐cutoff (s/co) ratios by Architect HIV Ag/Ab Combo with the results of confirmatory test and explore the potential utility of s/co to predict HIV infection. METHODS: A retrospective review on Architect HIV Ag/Ab Combo reactive results was performed at a teaching hospital in Xi'an. The s/co values in different groups, that is, true positives (TP) and false positives (FP), different Western blotting (WB) bands among WB‐positive cases, were compared. The receiver operating characteristic curve (ROC) analysis was used to determine the optimal cutoff value for predicting HIV infection. RESULTS: During the study period, 219 out of 84 702 patients were reactive by ARCHITECT with a 0.0992% of HIV prevalence and a 56.25% of FPR. The mean s/co ratios in TP were significantly higher than that in FP (458.15 vs 3.11, P < 0.0001). Among the WB‐positive cases, the s/co ratios increased significantly with the increase in the number of bands, P = 0.0065. The optimal cutoff (24.44) by ROC analysis can provide the highest sum of sensitivity (100%) and specificity (100%) with no FP results. CONCLUSIONS: For Architect HIV Ag/Ab Combo, the FPR is reduced when s/co ratios increase, and the s/co ≥24.44 may be reliable to predict HIV infection.
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spelling pubmed-65953112019-11-12 Sample‐to‐cutoff ratios using Architect HIV Ag/Ab Combo: The influence with the results of supplemental tests and optimal cutoff value to predict HIV infection Wang, Linchuan Wang, Jing‐Yuan Tian, Xu‐Dong Ruan, Jin‐xiong Yu, Yan Yan, Fang J Clin Lab Anal Research Articles BACKGROUND: The Architect HIV Ag/Ab Combo has excellent performance for HIV screening; however, the false‐positive rate (FPR) was high in low HIV prevalence setting. OBJECTIVES: The purpose of this study was to analyze the influence of sample‐to‐cutoff (s/co) ratios by Architect HIV Ag/Ab Combo with the results of confirmatory test and explore the potential utility of s/co to predict HIV infection. METHODS: A retrospective review on Architect HIV Ag/Ab Combo reactive results was performed at a teaching hospital in Xi'an. The s/co values in different groups, that is, true positives (TP) and false positives (FP), different Western blotting (WB) bands among WB‐positive cases, were compared. The receiver operating characteristic curve (ROC) analysis was used to determine the optimal cutoff value for predicting HIV infection. RESULTS: During the study period, 219 out of 84 702 patients were reactive by ARCHITECT with a 0.0992% of HIV prevalence and a 56.25% of FPR. The mean s/co ratios in TP were significantly higher than that in FP (458.15 vs 3.11, P < 0.0001). Among the WB‐positive cases, the s/co ratios increased significantly with the increase in the number of bands, P = 0.0065. The optimal cutoff (24.44) by ROC analysis can provide the highest sum of sensitivity (100%) and specificity (100%) with no FP results. CONCLUSIONS: For Architect HIV Ag/Ab Combo, the FPR is reduced when s/co ratios increase, and the s/co ≥24.44 may be reliable to predict HIV infection. John Wiley and Sons Inc. 2019-02-25 /pmc/articles/PMC6595311/ /pubmed/30803030 http://dx.doi.org/10.1002/jcla.22866 Text en © 2019 The Authors Journal of Clinical Laboratory Analysis Published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Wang, Linchuan
Wang, Jing‐Yuan
Tian, Xu‐Dong
Ruan, Jin‐xiong
Yu, Yan
Yan, Fang
Sample‐to‐cutoff ratios using Architect HIV Ag/Ab Combo: The influence with the results of supplemental tests and optimal cutoff value to predict HIV infection
title Sample‐to‐cutoff ratios using Architect HIV Ag/Ab Combo: The influence with the results of supplemental tests and optimal cutoff value to predict HIV infection
title_full Sample‐to‐cutoff ratios using Architect HIV Ag/Ab Combo: The influence with the results of supplemental tests and optimal cutoff value to predict HIV infection
title_fullStr Sample‐to‐cutoff ratios using Architect HIV Ag/Ab Combo: The influence with the results of supplemental tests and optimal cutoff value to predict HIV infection
title_full_unstemmed Sample‐to‐cutoff ratios using Architect HIV Ag/Ab Combo: The influence with the results of supplemental tests and optimal cutoff value to predict HIV infection
title_short Sample‐to‐cutoff ratios using Architect HIV Ag/Ab Combo: The influence with the results of supplemental tests and optimal cutoff value to predict HIV infection
title_sort sample‐to‐cutoff ratios using architect hiv ag/ab combo: the influence with the results of supplemental tests and optimal cutoff value to predict hiv infection
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595311/
https://www.ncbi.nlm.nih.gov/pubmed/30803030
http://dx.doi.org/10.1002/jcla.22866
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