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Evaluation of serological lateral flow assays for severe acute respiratory syndrome coronavirus-2
BACKGROUND: COVID-19 has resulted in significant morbidity and mortality worldwide. Lateral flow assays can detect anti-Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) antibodies to monitor transmission. However, standardized evaluation of their accuracy and tools to aid in interpreting...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206878/ https://www.ncbi.nlm.nih.gov/pubmed/34134647 http://dx.doi.org/10.1186/s12879-021-06257-7 |
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author | Trombetta, Bianca A. Kandigian, Savannah E. Kitchen, Robert R. Grauwet, Korneel Webb, Pia Kivisäkk Miller, Glenn A. Jennings, Charles G. Jain, Sejal Miller, Samara Kuo, Yikai Sweeney, Thadryan Gilboa, Tal Norman, Maia Simmons, Daimon P. Ramirez, Christopher E. Bedard, Melissa Fink, Catherine Ko, Jina De León Peralta, Esmarline J. Watts, Gerald Gomez-Rivas, Emma Davis, Vannessa Barilla, Rocky M. Wang, Jianing Cunin, Pierre Bates, Samuel Morrison-Smith, Chevaun Nicholson, Benjamin Wong, Edmond El-Mufti, Leena Kann, Michael Bolling, Anna Fortin, Brooke Ventresca, Hayden Zhou, Wen Pardo, Santiago Kwock, Megan Hazra, Aditi Cheng, Leo Ahmad, Q. Rushdy Toombs, James A. Larson, Rebecca Pleskow, Haley Luo, Nell Meosky Samaha, Christina Pandya, Unnati M. De Silva, Pushpamali Zhou, Sally Ganhadeiro, Zakary Yohannes, Sara Gay, Rakeisha Slavik, Jacqueline Mukerji, Shibani S. Jarolim, Petr Walt, David R. Carlyle, Becky C. Ritterhouse, Lauren L. Suliman, Sara |
author_facet | Trombetta, Bianca A. Kandigian, Savannah E. Kitchen, Robert R. Grauwet, Korneel Webb, Pia Kivisäkk Miller, Glenn A. Jennings, Charles G. Jain, Sejal Miller, Samara Kuo, Yikai Sweeney, Thadryan Gilboa, Tal Norman, Maia Simmons, Daimon P. Ramirez, Christopher E. Bedard, Melissa Fink, Catherine Ko, Jina De León Peralta, Esmarline J. Watts, Gerald Gomez-Rivas, Emma Davis, Vannessa Barilla, Rocky M. Wang, Jianing Cunin, Pierre Bates, Samuel Morrison-Smith, Chevaun Nicholson, Benjamin Wong, Edmond El-Mufti, Leena Kann, Michael Bolling, Anna Fortin, Brooke Ventresca, Hayden Zhou, Wen Pardo, Santiago Kwock, Megan Hazra, Aditi Cheng, Leo Ahmad, Q. Rushdy Toombs, James A. Larson, Rebecca Pleskow, Haley Luo, Nell Meosky Samaha, Christina Pandya, Unnati M. De Silva, Pushpamali Zhou, Sally Ganhadeiro, Zakary Yohannes, Sara Gay, Rakeisha Slavik, Jacqueline Mukerji, Shibani S. Jarolim, Petr Walt, David R. Carlyle, Becky C. Ritterhouse, Lauren L. Suliman, Sara |
author_sort | Trombetta, Bianca A. |
collection | PubMed |
description | BACKGROUND: COVID-19 has resulted in significant morbidity and mortality worldwide. Lateral flow assays can detect anti-Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) antibodies to monitor transmission. However, standardized evaluation of their accuracy and tools to aid in interpreting results are needed. METHODS: We evaluated 20 IgG and IgM assays selected from available tests in April 2020. We evaluated the assays’ performance using 56 pre-pandemic negative and 56 SARS-CoV-2-positive plasma samples, collected 10–40 days after symptom onset, confirmed by a molecular test and analyzed by an ultra-sensitive immunoassay. Finally, we developed a user-friendly web app to extrapolate the positive predictive values based on their accuracy and local prevalence. RESULTS: Combined IgG + IgM sensitivities ranged from 33.9 to 94.6%, while combined specificities ranged from 92.6 to 100%. The highest sensitivities were detected in Lumiquick for IgG (98.2%), BioHit for both IgM (96.4%), and combined IgG + IgM sensitivity (94.6%). Furthermore, 11 LFAs and 8 LFAs showed perfect specificity for IgG and IgM, respectively, with 15 LFAs showing perfect combined IgG + IgM specificity. Lumiquick had the lowest estimated limit-of-detection (LOD) (0.1 μg/mL), followed by a similar LOD of 1.5 μg/mL for CareHealth, Cellex, KHB, and Vivachek. CONCLUSION: We provide a public resource of the accuracy of select lateral flow assays with potential for home testing. The cost-effectiveness, scalable manufacturing process, and suitability for self-testing makes LFAs an attractive option for monitoring disease prevalence and assessing vaccine responsiveness. Our web tool provides an easy-to-use interface to demonstrate the impact of prevalence and test accuracy on the positive predictive values. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06257-7. |
format | Online Article Text |
id | pubmed-8206878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82068782021-06-16 Evaluation of serological lateral flow assays for severe acute respiratory syndrome coronavirus-2 Trombetta, Bianca A. Kandigian, Savannah E. Kitchen, Robert R. Grauwet, Korneel Webb, Pia Kivisäkk Miller, Glenn A. Jennings, Charles G. Jain, Sejal Miller, Samara Kuo, Yikai Sweeney, Thadryan Gilboa, Tal Norman, Maia Simmons, Daimon P. Ramirez, Christopher E. Bedard, Melissa Fink, Catherine Ko, Jina De León Peralta, Esmarline J. Watts, Gerald Gomez-Rivas, Emma Davis, Vannessa Barilla, Rocky M. Wang, Jianing Cunin, Pierre Bates, Samuel Morrison-Smith, Chevaun Nicholson, Benjamin Wong, Edmond El-Mufti, Leena Kann, Michael Bolling, Anna Fortin, Brooke Ventresca, Hayden Zhou, Wen Pardo, Santiago Kwock, Megan Hazra, Aditi Cheng, Leo Ahmad, Q. Rushdy Toombs, James A. Larson, Rebecca Pleskow, Haley Luo, Nell Meosky Samaha, Christina Pandya, Unnati M. De Silva, Pushpamali Zhou, Sally Ganhadeiro, Zakary Yohannes, Sara Gay, Rakeisha Slavik, Jacqueline Mukerji, Shibani S. Jarolim, Petr Walt, David R. Carlyle, Becky C. Ritterhouse, Lauren L. Suliman, Sara BMC Infect Dis Research BACKGROUND: COVID-19 has resulted in significant morbidity and mortality worldwide. Lateral flow assays can detect anti-Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) antibodies to monitor transmission. However, standardized evaluation of their accuracy and tools to aid in interpreting results are needed. METHODS: We evaluated 20 IgG and IgM assays selected from available tests in April 2020. We evaluated the assays’ performance using 56 pre-pandemic negative and 56 SARS-CoV-2-positive plasma samples, collected 10–40 days after symptom onset, confirmed by a molecular test and analyzed by an ultra-sensitive immunoassay. Finally, we developed a user-friendly web app to extrapolate the positive predictive values based on their accuracy and local prevalence. RESULTS: Combined IgG + IgM sensitivities ranged from 33.9 to 94.6%, while combined specificities ranged from 92.6 to 100%. The highest sensitivities were detected in Lumiquick for IgG (98.2%), BioHit for both IgM (96.4%), and combined IgG + IgM sensitivity (94.6%). Furthermore, 11 LFAs and 8 LFAs showed perfect specificity for IgG and IgM, respectively, with 15 LFAs showing perfect combined IgG + IgM specificity. Lumiquick had the lowest estimated limit-of-detection (LOD) (0.1 μg/mL), followed by a similar LOD of 1.5 μg/mL for CareHealth, Cellex, KHB, and Vivachek. CONCLUSION: We provide a public resource of the accuracy of select lateral flow assays with potential for home testing. The cost-effectiveness, scalable manufacturing process, and suitability for self-testing makes LFAs an attractive option for monitoring disease prevalence and assessing vaccine responsiveness. Our web tool provides an easy-to-use interface to demonstrate the impact of prevalence and test accuracy on the positive predictive values. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06257-7. BioMed Central 2021-06-16 /pmc/articles/PMC8206878/ /pubmed/34134647 http://dx.doi.org/10.1186/s12879-021-06257-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Trombetta, Bianca A. Kandigian, Savannah E. Kitchen, Robert R. Grauwet, Korneel Webb, Pia Kivisäkk Miller, Glenn A. Jennings, Charles G. Jain, Sejal Miller, Samara Kuo, Yikai Sweeney, Thadryan Gilboa, Tal Norman, Maia Simmons, Daimon P. Ramirez, Christopher E. Bedard, Melissa Fink, Catherine Ko, Jina De León Peralta, Esmarline J. Watts, Gerald Gomez-Rivas, Emma Davis, Vannessa Barilla, Rocky M. Wang, Jianing Cunin, Pierre Bates, Samuel Morrison-Smith, Chevaun Nicholson, Benjamin Wong, Edmond El-Mufti, Leena Kann, Michael Bolling, Anna Fortin, Brooke Ventresca, Hayden Zhou, Wen Pardo, Santiago Kwock, Megan Hazra, Aditi Cheng, Leo Ahmad, Q. Rushdy Toombs, James A. Larson, Rebecca Pleskow, Haley Luo, Nell Meosky Samaha, Christina Pandya, Unnati M. De Silva, Pushpamali Zhou, Sally Ganhadeiro, Zakary Yohannes, Sara Gay, Rakeisha Slavik, Jacqueline Mukerji, Shibani S. Jarolim, Petr Walt, David R. Carlyle, Becky C. Ritterhouse, Lauren L. Suliman, Sara Evaluation of serological lateral flow assays for severe acute respiratory syndrome coronavirus-2 |
title | Evaluation of serological lateral flow assays for severe acute respiratory syndrome coronavirus-2 |
title_full | Evaluation of serological lateral flow assays for severe acute respiratory syndrome coronavirus-2 |
title_fullStr | Evaluation of serological lateral flow assays for severe acute respiratory syndrome coronavirus-2 |
title_full_unstemmed | Evaluation of serological lateral flow assays for severe acute respiratory syndrome coronavirus-2 |
title_short | Evaluation of serological lateral flow assays for severe acute respiratory syndrome coronavirus-2 |
title_sort | evaluation of serological lateral flow assays for severe acute respiratory syndrome coronavirus-2 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206878/ https://www.ncbi.nlm.nih.gov/pubmed/34134647 http://dx.doi.org/10.1186/s12879-021-06257-7 |
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