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      Performance of Rapid Antigen Tests to Detect Symptomatic and Asymptomatic SARS-CoV-2 Infection : A Prospective Cohort Study

      other
      , MD, PhD, , BA, , PhD, , PhD, , MS, , MD, , PhD, , BS, , MS, , BS, , BA, , BBA, BS, , BA, , MPH, , BA, , MD, , PhD, , MPH, , MS, , MS, , MD, , MD PhD, , BA, , BS, , MPH, , MD, , PhD, , MD, MPH, , MD, , MD, , MD, , BE, , PhD, , MD, , PhD, , DO, ScM, , MD, , PhD, , PhD, , BS, , MD, PhD, , MD, PhD, , MD, MPH, MBA, , MD, ScM
      Annals of Internal Medicine
      American College of Physicians

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          Abstract

          This prospective study evaluated the performance of rapid antigen tests for detection of SARS-CoV-2 among symptomatic and asymptomatic participants. Participants who were asymptomatic and negative for SARS-CoV-2 on study day 1 completed rapid antigen tests and RT-PCR testing for SARS-CoV-2 every 48 hours for 15 days.

          Abstract

          Visual Abstract.
          Performance of Rapid Antigen Tests to Detect Symptomatic and Asymptomatic SARS-CoV-2 Infection

          This prospective study evaluated the performance of rapid antigen tests for detection of SARS-CoV-2 among symptomatic and asymptomatic participants. Participants who were asymptomatic and negative for SARS-CoV-2 on study day 1 completed rapid antigen tests and RT-PCR testing for SARS-CoV-2 every 48 hours for 15 days.

          Abstract

          Background:

          The performance of rapid antigen tests (Ag-RDTs) for screening asymptomatic and symptomatic persons for SARS-CoV-2 is not well established.

          Objective:

          To evaluate the performance of Ag-RDTs for detection of SARS-CoV-2 among symptomatic and asymptomatic participants.

          Design:

          This prospective cohort study enrolled participants between October 2021 and January 2022. Participants completed Ag-RDTs and reverse transcriptase polymerase chain reaction (RT-PCR) testing for SARS-CoV-2 every 48 hours for 15 days.

          Setting:

          Participants were enrolled digitally throughout the mainland United States. They self-collected anterior nasal swabs for Ag-RDTs and RT-PCR testing. Nasal swabs for RT-PCR were shipped to a central laboratory, whereas Ag-RDTs were done at home.

          Participants:

          Of 7361 participants in the study, 5353 who were asymptomatic and negative for SARS-CoV-2 on study day 1 were eligible. In total, 154 participants had at least 1 positive RT-PCR result.

          Measurements:

          The sensitivity of Ag-RDTs was measured on the basis of testing once (same-day), twice (after 48 hours), and thrice (after a total of 96 hours). The analysis was repeated for different days past index PCR positivity (DPIPPs) to approximate real-world scenarios where testing initiation may not always coincide with DPIPP 0. Results were stratified by symptom status.

          Results:

          Among 154 participants who tested positive for SARS-CoV-2, 97 were asymptomatic and 57 had symptoms at infection onset. Serial testing with Ag-RDTs twice 48 hours apart resulted in an aggregated sensitivity of 93.4% (95% CI, 90.4% to 95.9%) among symptomatic participants on DPIPPs 0 to 6. When singleton positive results were excluded, the aggregated sensitivity on DPIPPs 0 to 6 for 2-time serial testing among asymptomatic participants was lower at 62.7% (CI, 57.0% to 70.5%), but it improved to 79.0% (CI, 70.1% to 87.4%) with testing 3 times at 48-hour intervals.

          Limitation:

          Participants tested every 48 hours; therefore, these data cannot support conclusions about serial testing intervals shorter than 48 hours.

          Conclusion:

          The performance of Ag-RDTs was optimized when asymptomatic participants tested 3 times at 48-hour intervals and when symptomatic participants tested 2 times separated by 48 hours.

          Primary Funding Source:

          National Institutes of Health RADx Tech program.

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          Most cited references17

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          Evaluation of rapid antigen test for detection of SARS-CoV-2 virus

          Highlights • the rapid diagnosis of COVID-19 patients is essential to reduce the disease spread. • the detection limits between rapid antigen detection (RAD) test, viral culture and PCR varied hugely. • the RAD test was 103 fold less sensitive than viral culture while RAD was 105 fold less sensitive than RT-PCR. • the RAD test detected between 11.1% and 45.7% of real-time RT-PCR-positive samples from COVID-19 patients. • the RAD test serve only as adjunct to RT-PCR test because of potential for false-negative results.
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            Is Open Access

            SARS-CoV-2 Omicron variant: recent progress and future perspectives

            Since the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, there have been a few variants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), one of which is the Omicron variant (B.1.1.529). The Omicron variant is the most mutated SARS-CoV-2 variant, and its high transmissibility and immune evasion ability have raised global concerns. Owing to its enhanced transmissibility, Omicron has rapidly replaced Delta as the dominant variant in several regions. However, recent studies have shown that the Omicron variant exhibits reduced pathogenicity due to altered cell tropism. In addition, Omicron exhibits significant resistance to the neutralizing activity of vaccines, convalescent serum, and most antibody therapies. In the present review, recent advances in the molecular and clinical characteristics of the infectivity, pathogenicity, and immune evasion of Omicron variant was summarized, and potential therapeutic applications in response to Omicron infection were discussed. Furthermore, we highlighted potential response to future waves and strategies to end the pandemic.
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              Scaling up COVID-19 rapid antigen tests: promises and challenges

              WHO recommends a minimum of 80% sensitivity and 97% specificity for antigen-detection rapid diagnostic tests (Ag-RDTs), which can be used for patients with symptoms consistent with COVID-19. However, after the acute phase when viral load decreases, use of Ag-RDTs might lead to high rates of false negatives, suggesting that the tests should be replaced by a combination of molecular and serological tests. When the likelihood of having COVID-19 is low, such as for asymptomatic individuals in low prevalence settings, for travel, return to schools, workplaces, and mass gatherings, Ag-RDTs with high negative predictive values can be used with confidence to rule out infection. For those who test positive in low prevalence settings, the high false positive rate means that mitigation strategies, such as molecular testing to confirm positive results, are needed. Ag-RDTs, when used appropriately, are promising tools for scaling up testing and ensuring that patient management and public health measures can be implemented without delay.
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                Author and article information

                Journal
                Ann Intern Med
                Ann Intern Med
                aim
                Annals of Internal Medicine
                American College of Physicians
                0003-4819
                1539-3704
                4 July 2023
                4 July 2023
                : M23-0385
                Affiliations
                [01]Program in Digital Medicine, Department of Medicine; Division of Health Systems Science, Department of Medicine; and Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (A.S.)
                [02]Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., C.P., P.S., T.O., C.W., S.T., S.B., A.F., S.P.)
                [03]Program in Digital Medicine and Division of Health Systems Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (H.L., B.W.)
                [04]Office of In Vitro Diagnostics, Office of Product Evaluation and Quality, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland (Y.Y., K.R., T.L.)
                [05]CareEvolution, Ann Arbor, Michigan (T.S., S.S., E.H., C.N., V.K.)
                [06]Quest Diagnostics, Marlborough, Massachusetts (L.V.R., L.C.)
                [07]Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (E.O., D.A., A.Z., S.W., P.L., B.B., S.C.L.)
                [08]Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (L.G.)
                [09]Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (Z.W.)
                [10]Division of Infectious Diseases, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, Illinois (C.J.A., R.L.M.)
                [11]Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland (M.L.R., Y.C.M.)
                [12]Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, Massachusetts (A.C.)
                [13]Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (L.O., J.B.)
                [14]Program in Digital Medicine, Department of Medicine; Department of Population and Quantitative Health Sciences; and Department of Pediatrics, University of Massachusetts Chan Medical School, Worcester, Massachusetts (N.F.)
                [15]University of Massachusetts Center for Clinical and Translational Science and Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (K.L.L., N.H.)
                [16]Division of Microbiology, Office of In Vitro Diagnostics, Office of Product Evaluation and Quality, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland (T.S.)
                [17]National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland (W.H.)
                [18]Program in Digital Medicine, Division of Health Systems Science, and Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (D.D.M.).
                Author notes
                Disclaimer: The views expressed in this article are those of the authors and do not necessarily represent the views of the National Institute of Biomedical Imaging and Bioengineering; the National Heart, Lung, and Blood Institute; the National Institutes of Health (NIH); or the U.S. Department of Health and Human Services.
                Acknowledgment: The authors thank their study participants; their collaborators from the NIH (National Institute of Biomedical Imaging and Bioengineering and National Heart, Lung, and Blood Institute), who provided scientific input into the design of this study and interpretation of the results but could not formally join as coauthors due to institutional policies; and the FDA (Office of In Vitro Diagnostics and Center for Devices and Radiological Health) for their involvement in the primary Test Us At Home study. The authors received meaningful contributions from Drs. Bruce Tromberg, Jill Heemskerk, Dennis Buxton, Felicia Qashu, Erin Iturriaga, Jue Chen, Andrew Weitz, and Krishna Juluru. They appreciate the contribution to this study by the numerous staff at University of Massachusetts Chan Medical School, including critical support from Karen Gilliam, Mary Janet McCarthy, Amber Showers, Cynthia Kinahan, Kimberly Cantin, and Danielle Howard. They also acknowledge the support provided by clinical coordinators from ThreeWire, and they thank county health departments across the country who helped with recruitment for this study by spreading the word in their networks.
                Grant Support: By the NIH RADx Tech program under grant 3U54HL143541-02S2 and NIH Clinical and Translational Science Award grant UL1TR001453.
                Reproducible Research Statement: Study protocol: Available from Dr. Soni (e-mail, apurv.soni@ 123456umassmed.edu ). Statistical code: Primary analysis code available at https://github.com/soni-lab/Test_Us_At_Home. Data set: Anonymous data available at https://github.com/soni-lab/Test_Us_At_Home; deidentified data will be made available through the NIH RADx Data Hub.
                Corresponding Author: Apurv Soni, MD, PhD, Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01605; e-mail, apurv.soni@ 123456umassmed.edu .
                Previous Posting: This manuscript was posted as a preprint on medRxiv on 23 January 2023. doi:10.1101/2022.08.05.22278466
                Author Contributions: Conception and design: N. Fahey, A. Filippaios, L. Gibson, W. Heetderks, V. Kheterpal, S.C. Lemon, Y.C. Manabe, M.L. Robinson, K. Roth, A. Soni, T. Suvarna.
                Analysis and interpretation of the data: C.J. Achenbach, D. Ayturk, B. Barton, A. Colubri, N. Fahey, A. Filippaios, N. Hafer, W. Heetderks, C. Herbert, H. Lin, Y.C. Manabe, R.L. Murphy, S. Pandey, L.V. Rao, K. Roth, A. Soni, B. Wang, Y. Yan.
                Drafting of the article: C.J. Achenbach, A. Filippaios, L. Gibson, C. Herbert, S.C. Lemon, A. Soni, C. Wright.
                Critical revision for important intellectual content: C.J. Achenbach, S. Behar, J. Broach, N. Fahey, A. Filippaios, S.C. Lemon, H. Lin, T. Lowe, Y.C. Manabe, D.D. McManus, R.L. Murphy, L. O'Connor, K. Roth, A. Soni, S. Tarrant.
                Final approval of the article: C.J. Achenbach, D. Ayturk, B. Barton, S. Behar, J. Broach, L. Cashman, A. Colubri, N. Fahey, A. Filippaios, L. Gibson, N. Hafer, E. Harman, W. Heetderks, C. Herbert, V. Kheterpal, P. Lazar, S.C. Lemon, H. Lin, T. Lowe, K.L. Luzuriaga, Y.C. Manabe, D.D. McManus, R.L. Murphy, C. Nowak, L. O'Connor, E. Orvek, T. Orwig, S. Pandey, C. Pretz, L.V. Rao, M.L. Robinson, K. Roth, S. Schrader, A. Soni, P. Stamegna, T. Stenzel, T. Suvarna, S. Tarrant, B. Wang, Z. Wang, S. Wong, C. Wright, Y. Yan, A. Zai.
                Provision of study materials or patients: A. Filippaios, M.L. Robinson, A. Soni, T. Suvarna.
                Statistical expertise: B. Barton, H. Lin, A. Soni, B. Wang, Z. Wang, Y. Yan.
                Obtaining of funding: L. Gibson, N. Hafer, D.D. McManus.
                Administrative, technical, or logistic support: S. Behar, J. Broach, L. Cashman, N. Fahey, A. Filippaios, N. Hafer, E. Harman, W. Heetderks, V. Kheterpal, P. Lazar, T. Lowe, K.L. Luzuriaga, D.D. McManus, R.L. Murphy, C. Nowak, L. O'Connor, T. Orwig, C. Pretz, L.V. Rao, S. Schrader, A. Soni, P. Stamegna, T. Suvarna, A. Zai.
                Collection and assembly of data: S. Behar, J. Broach, L. Cashman, A. Filippaios, C. Herbert, V. Kheterpal, P. Lazar, C. Nowak, E. Orvek, S. Pandey, M.L. Robinson, A. Soni, P. Stamegna, T. Suvarna, S. Tarrant, S. Wong, A. Zai.
                Author information
                https://orcid.org/0000-0001-5049-3657
                https://orcid.org/0000-0001-8972-0474
                https://orcid.org/0000-0003-3043-3942
                https://orcid.org/0000-0001-8718-0451
                https://orcid.org/0000-0002-5272-003X
                https://orcid.org/0000-0003-2399-1815
                https://orcid.org/0009-0001-4974-4305
                https://orcid.org/0000-0003-0797-4951
                https://orcid.org/0000-0002-4811-0298
                https://orcid.org/0000-0002-5678-8613
                https://orcid.org/0000-0003-1796-9558
                https://orcid.org/0000-0002-4752-4229
                https://orcid.org/0000-0001-6019-479X
                https://orcid.org/0000-0001-6974-6263
                https://orcid.org/0000-0003-1309-8388
                https://orcid.org/0000-0002-2972-6839
                https://orcid.org/0000-0002-0744-1461
                https://orcid.org/0000-0003-0082-5507
                https://orcid.org/0000-0001-7878-8895
                https://orcid.org/0000-0003-4847-7249
                https://orcid.org/0000-0003-3936-2052
                https://orcid.org/0000-0003-0376-8560
                https://orcid.org/0000-0001-8619-5598
                https://orcid.org/0000-0001-5559-9661
                https://orcid.org/0000-0003-4681-992X
                https://orcid.org/0000-0003-3321-6070
                https://orcid.org/0000-0001-9059-1470
                https://orcid.org/0000-0002-5561-1787
                https://orcid.org/0000-0002-0164-5092
                https://orcid.org/0000-0002-7651-3190
                https://orcid.org/0000-0001-7714-107X
                https://orcid.org/0000-0002-6581-2232
                Article
                aim-olf-M230385
                10.7326/M23-0385
                10321467
                37399548
                99c9a6e7-41f6-4b28-aedf-492c775af7f3
                Copyright @ 2023

                This article is made available via the PMC Open Access Subset for unrestricted re-use for research, analyses, and text and data mining through PubMed Central. Acknowledgement of the original source shall include a notice similar to the following: "© 2020 American College of Physicians. Some rights reserved. This work permits non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited." These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

                History
                Page count
                Figures: 4, Tables: 0, Equations: 0, References: 20, Pages: 9, Words: 5895
                Categories
                Original Research
                8434, Antigens
                3942, Cohort studies
                3122457, COVID-19
                3124854, Food and Drug Administration
                7774, Longitudinal studies
                3123756, Reverse transcriptase polymerase chain reaction
                6507, Viral load
                early, Currently Online First
                hvc, High-Value Care
                hospital, Hospital Medicine
                coronavirus, Coronavirus Disease 2019 (COVID-19)
                poc-eligible, POC Eligible

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