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

      1 , 2 , 3 , 4 , 2 , 2 , 3 , 2 , 2 , 2 , 2 , 5 , 5 , 5 , 5 , 5 , 6 , 6 , 7 , 7 , 8 , 7 , 7 , 7 , 9 , 2 , 7 , 10 , 10 , 11 , 11 , 2 , 12 , 13 , 7 , 14 , 15 , 15 , 4 , 4 , 16 , 17 , 13 , 18
      Annals of Internal Medicine
      American College of Physicians

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          Abstract

          <p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" id="d8299052e770">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. </p><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="fig panel" id="fva1-M230385"> <a class="named-anchor" id="fva1-M230385"> <!-- named anchor --> </a> <div class="figure-container so-text-align-c"> <img alt="" class="figure" src="/document_file/96ade31c-ed83-4189-8ec2-4a6ded166e27/PubMedCentral/image/aim-olf-M230385-AIME202307180-M230385_visual-abstract"/> </div> <div class="panel-content"> <div class="label">Visual Abstract.</div> <div class="caption" id="d8299052e776"> <strong> <span class="fig-title">Performance of Rapid Antigen Tests to Detect Symptomatic and Asymptomatic SARS-CoV-2 Infection </span> </strong> <p id="d8299052e779">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. </p> </div> </div> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="d8299052e783"> <!-- named anchor --> </a> <h5 class="section-title" id="d8299052e784">Background:</h5> <p id="d8299052e786">The performance of rapid antigen tests (Ag-RDTs) for screening asymptomatic and symptomatic persons for SARS-CoV-2 is not well established. </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="d8299052e788"> <!-- named anchor --> </a> <h5 class="section-title" id="d8299052e789">Objective:</h5> <p id="d8299052e791">To evaluate the performance of Ag-RDTs for detection of SARS-CoV-2 among symptomatic and asymptomatic participants. </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="d8299052e793"> <!-- named anchor --> </a> <h5 class="section-title" id="d8299052e794">Design:</h5> <p id="d8299052e796">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. </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="d8299052e798"> <!-- named anchor --> </a> <h5 class="section-title" id="d8299052e799">Setting:</h5> <p id="d8299052e801">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. </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="d8299052e803"> <!-- named anchor --> </a> <h5 class="section-title" id="d8299052e804">Participants:</h5> <p id="d8299052e806">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. </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="d8299052e808"> <!-- named anchor --> </a> <h5 class="section-title" id="d8299052e809">Measurements:</h5> <p id="d8299052e811">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. </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="d8299052e813"> <!-- named anchor --> </a> <h5 class="section-title" id="d8299052e814">Results:</h5> <p id="d8299052e816">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. </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="d8299052e818"> <!-- named anchor --> </a> <h5 class="section-title" id="d8299052e819">Limitation:</h5> <p id="d8299052e821">Participants tested every 48 hours; therefore, these data cannot support conclusions about serial testing intervals shorter than 48 hours. </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="d8299052e823"> <!-- named anchor --> </a> <h5 class="section-title" id="d8299052e824">Conclusion:</h5> <p id="d8299052e826">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. </p> </div><div xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="section"> <a class="named-anchor" id="d8299052e828"> <!-- named anchor --> </a> <h5 class="section-title" id="d8299052e829">Primary Funding Source:</h5> <p id="d8299052e831">National Institutes of Health RADx Tech program.</p> </div>

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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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                Journal
                Annals of Internal Medicine
                Ann Intern Med
                American College of Physicians
                0003-4819
                1539-3704
                July 04 2023
                Affiliations
                [1 ]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.)
                [2 ]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.)
                [3 ]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.)
                [4 ]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.)
                [5 ]CareEvolution, Ann Arbor, Michigan (T.S., S.S., E.H., C.N., V.K.)
                [6 ]Quest Diagnostics, Marlborough, Massachusetts (L.V.R., L.C.)
                [7 ]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.)
                [8 ]Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (L.G.)
                [9 ]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.).
                Article
                10.7326/M23-0385
                99c9a6e7-41f6-4b28-aedf-492c775af7f3
                © 2023
                History

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