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1782. Real-World HIV Diagnostic Testing Patterns in the United States
BACKGROUND: Current HIV diagnostic laboratory testing guidelines from the US Centers for Disease Control and Prevention (CDC) recommend a sequence of tests for detection, differentiation, and confirmation of HIV-1 and HIV-2 diagnosis. There is a gap in knowledge about real-world implementation of th...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808732/ http://dx.doi.org/10.1093/ofid/ofz360.1645 |
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author | Karichu, James Cheng, Mindy Rodriguez, Pedro Robinson, Nicole Burudpakdee, Chakkarin Near, Aimee Tse, Jenny Faccone, Jillian |
author_facet | Karichu, James Cheng, Mindy Rodriguez, Pedro Robinson, Nicole Burudpakdee, Chakkarin Near, Aimee Tse, Jenny Faccone, Jillian |
author_sort | Karichu, James |
collection | PubMed |
description | BACKGROUND: Current HIV diagnostic laboratory testing guidelines from the US Centers for Disease Control and Prevention (CDC) recommend a sequence of tests for detection, differentiation, and confirmation of HIV-1 and HIV-2 diagnosis. There is a gap in knowledge about real-world implementation of the testing algorithm. The aim of this study was to characterize the population that underwent HIV antibody differentiation and confirmatory testing and to describe subsequent testing patterns from a large US clinical laboratory database. METHODS: Patients who received one or more HIV-1/2 antibody differentiation test (BioRad Geenius™ HIV 1/2 Supplemental Assay [Geenius]) in the Quest Diagnostics laboratory database between January 1, 2017 and December 31, 2017 were selected into the study; earliest test date was index date. Geenius tests, HIV-1 qualitative RNA (Aptima HIV-1 RNA Qualitative Assay [Aptima]), and HIV-2 DNA/RNA confirmatory tests subsequent to index date were captured. Study measures included pt demographic characteristics, testing frequency and sequencing, and test results. For patients with >1 Geenius test in 2017, concordance between index and subsequent test results was assessed. RESULTS: There were 26,319 unique patients identified who received ≥1 HIV antibody differentiation result from the Geenius assay. Mean age was 40.7 ± 14.3 years, 66.4% were male, and 42.5% were from southern states. Among the study population, there were 28,954 Geenius, 7,234 Aptima, and 298 HIV-2 DNA/RNA confirmatory tests. 26.4% of Geenius test results were discordant with the initial positive fourth-generation HIV screening results and required subsequent confirmatory testing. In terms of sequencing, the CDC-recommended HIV diagnostic algorithm was followed 74% of the time after screening. 8.5% of patients had >1 Geenius test in 2017; 11.2% of the retests returned different results compared with the first test. CONCLUSION: The CDC recommended algorithm for HIV diagnosis is complex for laboratories to implement and currently available assays do not support testing efficiency. To mitigate observed inefficiencies and reduce the laboratory burden of HIV testing, a more accurate and reliable approach for HIV differentiation and confirmatory testing is needed. DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6808732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68087322019-10-28 1782. Real-World HIV Diagnostic Testing Patterns in the United States Karichu, James Cheng, Mindy Rodriguez, Pedro Robinson, Nicole Burudpakdee, Chakkarin Near, Aimee Tse, Jenny Faccone, Jillian Open Forum Infect Dis Abstracts BACKGROUND: Current HIV diagnostic laboratory testing guidelines from the US Centers for Disease Control and Prevention (CDC) recommend a sequence of tests for detection, differentiation, and confirmation of HIV-1 and HIV-2 diagnosis. There is a gap in knowledge about real-world implementation of the testing algorithm. The aim of this study was to characterize the population that underwent HIV antibody differentiation and confirmatory testing and to describe subsequent testing patterns from a large US clinical laboratory database. METHODS: Patients who received one or more HIV-1/2 antibody differentiation test (BioRad Geenius™ HIV 1/2 Supplemental Assay [Geenius]) in the Quest Diagnostics laboratory database between January 1, 2017 and December 31, 2017 were selected into the study; earliest test date was index date. Geenius tests, HIV-1 qualitative RNA (Aptima HIV-1 RNA Qualitative Assay [Aptima]), and HIV-2 DNA/RNA confirmatory tests subsequent to index date were captured. Study measures included pt demographic characteristics, testing frequency and sequencing, and test results. For patients with >1 Geenius test in 2017, concordance between index and subsequent test results was assessed. RESULTS: There were 26,319 unique patients identified who received ≥1 HIV antibody differentiation result from the Geenius assay. Mean age was 40.7 ± 14.3 years, 66.4% were male, and 42.5% were from southern states. Among the study population, there were 28,954 Geenius, 7,234 Aptima, and 298 HIV-2 DNA/RNA confirmatory tests. 26.4% of Geenius test results were discordant with the initial positive fourth-generation HIV screening results and required subsequent confirmatory testing. In terms of sequencing, the CDC-recommended HIV diagnostic algorithm was followed 74% of the time after screening. 8.5% of patients had >1 Geenius test in 2017; 11.2% of the retests returned different results compared with the first test. CONCLUSION: The CDC recommended algorithm for HIV diagnosis is complex for laboratories to implement and currently available assays do not support testing efficiency. To mitigate observed inefficiencies and reduce the laboratory burden of HIV testing, a more accurate and reliable approach for HIV differentiation and confirmatory testing is needed. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6808732/ http://dx.doi.org/10.1093/ofid/ofz360.1645 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Karichu, James Cheng, Mindy Rodriguez, Pedro Robinson, Nicole Burudpakdee, Chakkarin Near, Aimee Tse, Jenny Faccone, Jillian 1782. Real-World HIV Diagnostic Testing Patterns in the United States |
title | 1782. Real-World HIV Diagnostic Testing Patterns in the United States |
title_full | 1782. Real-World HIV Diagnostic Testing Patterns in the United States |
title_fullStr | 1782. Real-World HIV Diagnostic Testing Patterns in the United States |
title_full_unstemmed | 1782. Real-World HIV Diagnostic Testing Patterns in the United States |
title_short | 1782. Real-World HIV Diagnostic Testing Patterns in the United States |
title_sort | 1782. real-world hiv diagnostic testing patterns in the united states |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808732/ http://dx.doi.org/10.1093/ofid/ofz360.1645 |
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