Cargando…
Analytic comparison between three high-throughput commercial SARS-CoV-2 antibody assays reveals minor discrepancies in a high-incidence population
Performance of three automated commercial serological IgG-based assays was investigated for assessing SARS-CoV-2 “ever” (past or current) infection in a population-based sample in a high exposure setting. PCR and serological testing was performed on 394 individuals. SARS-CoV-2-IgG seroprevalence was...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178338/ https://www.ncbi.nlm.nih.gov/pubmed/34088944 http://dx.doi.org/10.1038/s41598-021-91235-x |
_version_ | 1783703553312817152 |
---|---|
author | Nasrallah, Gheyath K. Dargham, Soha R. Shurrab, Farah Al-Sadeq, Duaa W. Al-Jighefee, Hadeel Chemaitelly, Hiam Al Kanaani, Zaina Al Khal, Abdullatif Al Kuwari, Einas Coyle, Peter Jeremijenko, Andrew Kaleeckal, Anvar Hassan Latif, Ali Nizar Shaik, Riyazuddin Mohammad Rahim, Hanan F. Abdul Yassine, Hadi M. Al Kuwari, Mohamed G. Qotba, Hamda Al Romaihi, Hamad Eid Tang, Patrick Bertollini, Roberto Al-Thani, Mohamed H. Althani, Asmaa A. Abu-Raddad, Laith J. |
author_facet | Nasrallah, Gheyath K. Dargham, Soha R. Shurrab, Farah Al-Sadeq, Duaa W. Al-Jighefee, Hadeel Chemaitelly, Hiam Al Kanaani, Zaina Al Khal, Abdullatif Al Kuwari, Einas Coyle, Peter Jeremijenko, Andrew Kaleeckal, Anvar Hassan Latif, Ali Nizar Shaik, Riyazuddin Mohammad Rahim, Hanan F. Abdul Yassine, Hadi M. Al Kuwari, Mohamed G. Qotba, Hamda Al Romaihi, Hamad Eid Tang, Patrick Bertollini, Roberto Al-Thani, Mohamed H. Althani, Asmaa A. Abu-Raddad, Laith J. |
author_sort | Nasrallah, Gheyath K. |
collection | PubMed |
description | Performance of three automated commercial serological IgG-based assays was investigated for assessing SARS-CoV-2 “ever” (past or current) infection in a population-based sample in a high exposure setting. PCR and serological testing was performed on 394 individuals. SARS-CoV-2-IgG seroprevalence was 42.9% (95% CI 38.1–47.8%), 40.6% (95% CI 35.9–45.5%), and 42.4% (95% CI 37.6–47.3%) using the CL-900i, VidasIII, and Elecsys assays, respectively. Between the three assays, overall, positive, and negative percent agreements ranged between 93.2–95.7%, 89.3–92.8%, and 93.8–97.8%, respectively; Cohen’s kappa statistic ranged from 0.86 to 0.91; and 35 specimens (8.9%) showed discordant results. Among all individuals, 12.5% (95% CI 9.6–16.1%) had current infection, as assessed by PCR. Of these, only 34.7% (95% CI 22.9–48.7%) were seropositive by at least one assay. A total of 216 individuals (54.8%; 95% CI 49.9–59.7%) had evidence of ever infection using antibody testing and/or PCR during or prior to this study. Of these, only 78.2%, 74.1%, and 77.3% were seropositive in the CL-900i, VidasIII, and Elecsys assays, respectively. All three assays had comparable performance and excellent agreement, but missed at least 20% of individuals with past or current infection. Commercial antibody assays can substantially underestimate ever infection, more so when infection rates are high. |
format | Online Article Text |
id | pubmed-8178338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81783382021-06-07 Analytic comparison between three high-throughput commercial SARS-CoV-2 antibody assays reveals minor discrepancies in a high-incidence population Nasrallah, Gheyath K. Dargham, Soha R. Shurrab, Farah Al-Sadeq, Duaa W. Al-Jighefee, Hadeel Chemaitelly, Hiam Al Kanaani, Zaina Al Khal, Abdullatif Al Kuwari, Einas Coyle, Peter Jeremijenko, Andrew Kaleeckal, Anvar Hassan Latif, Ali Nizar Shaik, Riyazuddin Mohammad Rahim, Hanan F. Abdul Yassine, Hadi M. Al Kuwari, Mohamed G. Qotba, Hamda Al Romaihi, Hamad Eid Tang, Patrick Bertollini, Roberto Al-Thani, Mohamed H. Althani, Asmaa A. Abu-Raddad, Laith J. Sci Rep Article Performance of three automated commercial serological IgG-based assays was investigated for assessing SARS-CoV-2 “ever” (past or current) infection in a population-based sample in a high exposure setting. PCR and serological testing was performed on 394 individuals. SARS-CoV-2-IgG seroprevalence was 42.9% (95% CI 38.1–47.8%), 40.6% (95% CI 35.9–45.5%), and 42.4% (95% CI 37.6–47.3%) using the CL-900i, VidasIII, and Elecsys assays, respectively. Between the three assays, overall, positive, and negative percent agreements ranged between 93.2–95.7%, 89.3–92.8%, and 93.8–97.8%, respectively; Cohen’s kappa statistic ranged from 0.86 to 0.91; and 35 specimens (8.9%) showed discordant results. Among all individuals, 12.5% (95% CI 9.6–16.1%) had current infection, as assessed by PCR. Of these, only 34.7% (95% CI 22.9–48.7%) were seropositive by at least one assay. A total of 216 individuals (54.8%; 95% CI 49.9–59.7%) had evidence of ever infection using antibody testing and/or PCR during or prior to this study. Of these, only 78.2%, 74.1%, and 77.3% were seropositive in the CL-900i, VidasIII, and Elecsys assays, respectively. All three assays had comparable performance and excellent agreement, but missed at least 20% of individuals with past or current infection. Commercial antibody assays can substantially underestimate ever infection, more so when infection rates are high. Nature Publishing Group UK 2021-06-04 /pmc/articles/PMC8178338/ /pubmed/34088944 http://dx.doi.org/10.1038/s41598-021-91235-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Nasrallah, Gheyath K. Dargham, Soha R. Shurrab, Farah Al-Sadeq, Duaa W. Al-Jighefee, Hadeel Chemaitelly, Hiam Al Kanaani, Zaina Al Khal, Abdullatif Al Kuwari, Einas Coyle, Peter Jeremijenko, Andrew Kaleeckal, Anvar Hassan Latif, Ali Nizar Shaik, Riyazuddin Mohammad Rahim, Hanan F. Abdul Yassine, Hadi M. Al Kuwari, Mohamed G. Qotba, Hamda Al Romaihi, Hamad Eid Tang, Patrick Bertollini, Roberto Al-Thani, Mohamed H. Althani, Asmaa A. Abu-Raddad, Laith J. Analytic comparison between three high-throughput commercial SARS-CoV-2 antibody assays reveals minor discrepancies in a high-incidence population |
title | Analytic comparison between three high-throughput commercial SARS-CoV-2 antibody assays reveals minor discrepancies in a high-incidence population |
title_full | Analytic comparison between three high-throughput commercial SARS-CoV-2 antibody assays reveals minor discrepancies in a high-incidence population |
title_fullStr | Analytic comparison between three high-throughput commercial SARS-CoV-2 antibody assays reveals minor discrepancies in a high-incidence population |
title_full_unstemmed | Analytic comparison between three high-throughput commercial SARS-CoV-2 antibody assays reveals minor discrepancies in a high-incidence population |
title_short | Analytic comparison between three high-throughput commercial SARS-CoV-2 antibody assays reveals minor discrepancies in a high-incidence population |
title_sort | analytic comparison between three high-throughput commercial sars-cov-2 antibody assays reveals minor discrepancies in a high-incidence population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178338/ https://www.ncbi.nlm.nih.gov/pubmed/34088944 http://dx.doi.org/10.1038/s41598-021-91235-x |
work_keys_str_mv | AT nasrallahgheyathk analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT darghamsohar analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT shurrabfarah analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT alsadeqduaaw analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT aljighefeehadeel analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT chemaitellyhiam analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT alkanaanizaina analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT alkhalabdullatif analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT alkuwarieinas analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT coylepeter analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT jeremijenkoandrew analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT kaleeckalanvarhassan analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT latifalinizar analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT shaikriyazuddinmohammad analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT rahimhananfabdul analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT yassinehadim analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT alkuwarimohamedg analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT qotbahamda analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT alromaihihamadeid analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT tangpatrick analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT bertolliniroberto analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT althanimohamedh analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT althaniasmaaa analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation AT aburaddadlaithj analyticcomparisonbetweenthreehighthroughputcommercialsarscov2antibodyassaysrevealsminordiscrepanciesinahighincidencepopulation |