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Exner HM, Gregorchuk BSJ, Castor AG, Crisostomo L, Kolsun K, Giesbrecht S, Dust K, Alexander DC, Bolaji A, Quill Z, Head BM, Meyers AFA, Sandstrom P, Becker MG. Post-market surveillance of six COVID-19 point-of-care tests using pre-Omicron and Omicron SARS-CoV-2 variants. Microbiol Spectr 2024; 12:e0016324. [PMID: 38757955 DOI: 10.1128/spectrum.00163-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/18/2024] [Indexed: 05/18/2024] Open
Abstract
Post-market surveillance of test performance is a critical function of public health agencies and clinical researchers that ensures tests maintaining diagnostic characteristics following their regulatory approval. Changes in product quality, manufacturing processes over time, or the evolution of new variants may impact product performance. During the COVID-19 pandemic, a plethora of point-of-care tests (POCTs) was released onto the Canadian market. This study evaluated the performance characteristics of several of the most widely distributed POCTs in Canada, including four rapid antigen tests (Abbott Panbio, BTNX Rapid Response, SD Biosensor, and Quidel QuickVue) and two molecular tests (Abbott ID NOW and Lucira Check IT). All tests were challenged with 149 SARS-CoV-2 clinical positives, including multiple variants up to and including Omicron XBB.1.5, as well as 29 clinical negatives. Results were stratified based on whether the isolate was Omicron or pre-Omicron as well as by reverse transcriptase quantitative PCR Ct value. The test performance of each POCT was consistent with the manufacturers' claims and showed no significant decline in clinical performance against any of the variants tested. These findings provide continued confidence in the results of these POCTs as they continue to be used to support decentralized COVID-19 testing. This work demonstrates the essential role of post-market surveillance in ensuring reliability in diagnostic tools.IMPORTANCEPost-market surveillance of diagnostic test performance is critical to ensure their reliability after regulatory approval. This is especially critical in the context of the COVID-19 pandemic as the use of point-of-care tests (POCTs) became widespread. Our study focused on four rapid antigen tests (Abbott Panbio, BTNX Rapid Response, SD Biosensor, and Quidel QuickVue) and two molecular tests (Abbott ID NOW and Lucira Check IT) that were widely distributed across Canada, assessing their performance using many SARS-CoV-2 variants, including up to Omicron subvariant XBB.1.5. Overall, we found no significant difference in performance against any variant, reinforcing confidence in their use. As concerns in test efficacy have been raised by news outlets, particularly regarding the BTNX Rapid Response, this work is even more timely and crucial. Our research offers insights into the performance of widely used COVID-19 POCTs but also highlights the necessity for post-market surveillance.
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Affiliation(s)
- Hannah M Exner
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Branden S J Gregorchuk
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Ac-Green Castor
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Leandro Crisostomo
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Kurt Kolsun
- Department of Microbiology, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Shayna Giesbrecht
- Department of Microbiology, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Kerry Dust
- Cadham Provincial Laboratory, Winnipeg, Manitoba, Canada
| | | | | | - Zoe Quill
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Breanne M Head
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Adrienne F A Meyers
- Office of Population and Public Health, Indigenous Services Canada, Ottawa, Ontario, Canada
| | - Paul Sandstrom
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Michael G Becker
- JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratory Branch, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- Department of Microbiology, University of Manitoba, Winnipeg, Manitoba, Canada
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2
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Herbert C, Wang B, Lin H, Yan Y, Hafer N, Pretz C, Stamegna P, Wright C, Suvarna T, Harman E, Schrader S, Nowak C, Kheterpal V, Orvek E, Wong S, Zai A, Barton B, Gerber BS, Lemon SC, Filippaios A, Gibson L, Greene S, Colubri A, Achenbach C, Murphy R, Heetderks W, Manabe YC, O’Connor L, Fahey N, Luzuriaga K, Broach J, Roth K, McManus DD, Soni A. Performance of and Severe Acute Respiratory Syndrome Coronavirus 2 Diagnostics Based on Symptom Onset and Close Contact Exposure: An Analysis From the Test Us at Home Prospective Cohort Study. Open Forum Infect Dis 2024; 11:ofae304. [PMID: 38911947 PMCID: PMC11191649 DOI: 10.1093/ofid/ofae304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 05/29/2024] [Indexed: 06/25/2024] Open
Abstract
Background Understanding changes in diagnostic performance after symptom onset and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure within different populations is crucial to guide the use of diagnostics for SARS-CoV-2. Methods The Test Us at Home study was a longitudinal cohort study that enrolled individuals across the United States between October 2021 and February 2022. Participants performed paired antigen-detection rapid diagnostic tests (Ag-RDTs) and reverse-transcriptase polymerase chain reaction (RT-PCR) tests at home every 48 hours for 15 days and self-reported symptoms and known coronavirus disease 2019 exposures immediately before testing. The percent positivity for Ag-RDTs and RT-PCR tests was calculated each day after symptom onset and exposure and stratified by vaccination status, variant, age category, and sex. Results The highest percent positivity occurred 2 days after symptom onset (RT-PCR, 91.2%; Ag-RDT, 71.1%) and 6 days after exposure (RT-PCR, 91.8%; Ag-RDT, 86.2%). RT-PCR and Ag-RDT performance did not differ by vaccination status, variant, age category, or sex. The percent positivity for Ag-RDTs was lower among exposed, asymptomatic than among symptomatic individuals (37.5% (95% confidence interval [CI], 13.7%-69.4%) vs 90.3% (75.1%-96.7%). Cumulatively, Ag-RDTs detected 84.9% (95% CI, 78.2%-89.8%) of infections within 4 days of symptom onset. For exposed participants, Ag-RDTs detected 94.0% (95% CI, 86.7%-97.4%) of RT-PCR-confirmed infections within 6 days of exposure. Conclusions The percent positivity for Ag-RDTs and RT-PCR tests was highest 2 days after symptom onset and 6 days after exposure, and performance increased with serial testing. The percent positivity of Ag-RDTs was lowest among asymptomatic individuals but did not differ by sex, variant, vaccination status, or age category.
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Affiliation(s)
- Carly Herbert
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Biqi Wang
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Honghuang Lin
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Yi Yan
- Division of Microbiology, OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Nathaniel Hafer
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Caitlin Pretz
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Pamela Stamegna
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Colton Wright
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | | | | | | | | | | | - Elizabeth Orvek
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Steven Wong
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Adrian Zai
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Bruce Barton
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Ben S Gerber
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Stephenie C Lemon
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Andreas Filippaios
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Laura Gibson
- Division of Infectious Disease, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Sharone Greene
- Division of Infectious Disease, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Andres Colubri
- Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Chad Achenbach
- Division of Infectious Disease, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Robert Murphy
- Division of Infectious Disease, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - William Heetderks
- National Institute of Biomedical Imaging and Bioengineering, NIH, via contract with Kelly Services, Bethesda, Maryland, USA
| | - Yukari C Manabe
- Division of Infectious Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Laurel O’Connor
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Nisha Fahey
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- Department of Pediatrics, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Katherine Luzuriaga
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - John Broach
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Kristian Roth
- Division of Microbiology, OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - David D McManus
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- Division of Cardiology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Apurv Soni
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
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Manten K, Katzenschlager S, Brümmer LE, Schmitz S, Gaeddert M, Erdmann C, Grilli M, Pollock NR, Macé A, Erkosar B, Carmona S, Ongarello S, Johnson CC, Sacks JA, Faehling V, Bornemann L, Weigand MA, Denkinger CM, Yerlikaya S. Clinical accuracy of instrument-based SARS-CoV-2 antigen diagnostic tests: a systematic review and meta-analysis. Virol J 2024; 21:99. [PMID: 38685117 PMCID: PMC11059670 DOI: 10.1186/s12985-024-02371-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/17/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND During the COVID-19 pandemic, antigen diagnostic tests were frequently used for screening, triage, and diagnosis. Novel instrument-based antigen tests (iAg tests) hold the promise of outperforming their instrument-free, visually-read counterparts. Here, we provide a systematic review and meta-analysis of the SARS-CoV-2 iAg tests' clinical accuracy. METHODS We systematically searched MEDLINE (via PubMed), Web of Science, medRxiv, and bioRxiv for articles published before November 7th, 2022, evaluating the accuracy of iAg tests for SARS-CoV-2 detection. We performed a random effects meta-analysis to estimate sensitivity and specificity and used the QUADAS-2 tool to assess study quality and risk of bias. Sub-group analysis was conducted based on Ct value range, IFU-conformity, age, symptom presence and duration, and the variant of concern. RESULTS We screened the titles and abstracts of 20,431 articles and included 114 publications that fulfilled the inclusion criteria. Additionally, we incorporated three articles sourced from the FIND website, totaling 117 studies encompassing 95,181 individuals, which evaluated the clinical accuracy of 24 commercial COVID-19 iAg tests. The studies varied in risk of bias but showed high applicability. Of 24 iAg tests from 99 studies assessed in the meta-analysis, the pooled sensitivity and specificity compared to molecular testing of a paired NP swab sample were 76.7% (95% CI 73.5 to 79.7) and 98.4% (95% CI 98.0 to 98.7), respectively. Higher sensitivity was noted in individuals with high viral load (99.6% [95% CI 96.8 to 100] at Ct-level ≤ 20) and within the first week of symptom onset (84.6% [95% CI 78.2 to 89.3]), but did not differ between tests conducted as per manufacturer's instructions and those conducted differently, or between point-of-care and lab-based testing. CONCLUSION Overall, iAg tests have a high pooled specificity but a moderate pooled sensitivity, according to our analysis. The pooled sensitivity increases with lower Ct-values (a proxy for viral load), or within the first week of symptom onset, enabling reliable identification of most COVID-19 cases and highlighting the importance of context in test selection. The study underscores the need for careful evaluation considering performance variations and operational features of iAg tests.
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Affiliation(s)
- Katharina Manten
- Department of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany
- Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stephan Katzenschlager
- Department of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany
| | - Lukas E Brümmer
- Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stephani Schmitz
- Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany
- Department of Developmental Biology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Mary Gaeddert
- Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Maurizio Grilli
- Library, University Medical Center Mannheim, Mannheim, Germany
| | - Nira R Pollock
- Department of Laboratory Medicine, Boston Children's Hospital, Boston, MA, USA
| | | | | | | | | | - Cheryl C Johnson
- Global HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland
| | - Jilian A Sacks
- Department of Epidemic and Pandemic Preparedness and Prevention, World Health Organization, Geneva, Switzerland
| | - Verena Faehling
- Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Linus Bornemann
- Institute of Virology, Faculty of Medicine, University Medical Centre, University of Freiburg, Freiburg, Germany
| | - Markus A Weigand
- Department of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany
| | - Claudia M Denkinger
- Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Infection Research (DZIF), partner site Heidelberg University Hospital, Heidelberg, Germany
| | - Seda Yerlikaya
- Department of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany.
- German Center for Infection Research (DZIF), partner site Heidelberg University Hospital, Heidelberg, Germany.
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4
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Chen K, Jackson NJ, Kelesidis T. Mitoquinone mesylate as post-exposure prophylaxis against SARS-CoV-2 infection in humans: an exploratory single center pragmatic open label non-randomized pilot clinical trial with matched controls. EBioMedicine 2024; 102:105042. [PMID: 38471990 PMCID: PMC11026948 DOI: 10.1016/j.ebiom.2024.105042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND An ongoing important need exists to rapidly develop novel therapeutics for COVID-19 that will retain antiviral efficacy in the setting of rapidly evolving SARS-CoV-2 variants and potential future development of resistance of SARS-COV-2 to remdesivir and protease inhibitors. To date, there is no FDA-approved treatment for post-exposure prophylaxis against SAR-CoV-2. We have shown that the mitochondrial antioxidant mitoquinone/mitoquinol mesylate (Mito-MES), a dietary supplement, has antiviral activity against SARS-CoV-2 in vitro and in SARS-CoV-2 infected K18-hACE2 mice. METHODS In this exploratory, pragmatic open label clinical trial (ClinicalTrials.gov identifier NCT05381454), we studied whether Mito-MES is an effective post-exposure prophylaxis treatment in people who had high-grade unmasked exposures to SARS-CoV-2 within 5 days prior to study entry. Participants were enrolled in real-world setting in Los Angeles, United States between May 1 and December 1, 2022 and were assigned to either mito-MES 20 mg daily for 14 days (n = 40) or no mito-MES (controls) (n = 40). The primary endpoint was development of SARS-CoV-2 infection based on 4 COVID-19 diagnostic tests [rapid antigen tests (RATs) or PCR] performed during the study period (14 days post exposure). FINDINGS Out of 40 (23 females; 57.5%) study participants who took Mito-MES, 12 (30%) developed SARS-CoV-2 infection compared to 30 of the 40 controls (75%) (difference -45.0%, 95% confidence intervals (CI): -64.5%, -25.5%). Out of 40 (19 females; 47.5%) study participants in the control group, 30 (75.0%) had at least one positive COVID-19 diagnostic test and 23 (57.5%) were symptomatic. With regards to key secondary outcomes, among symptomatic SARS-CoV-2 infections, the median duration of viral symptoms was lower in the Mito-MES group (median 3.0, 95% CI 2.75, 3.25) compared to the control group (median 5.0, 95% CI 4.0, 7.0). None of the study participants was hospitalized or required oxygen therapy. Mito-MES was well tolerated and no serious side effect was reported in any study participant. INTERPRETATION This work describes antiviral activity of mito-MES in humans. Mito-MES was well tolerated in our study population and attenuated transmission of SARS-CoV-2 infection. Given established safety of Mito-MES in humans, our results suggest that randomized control clinical trials of Mito-MES as post-exposure prophylaxis against SARS-CoV-2 infection are warranted. FUNDING This work was supported in part by National Institutes of Health grant R01AG059501 (TK), National Institutes of Health grant R01AG059502 04S1 (TK), NIH/National Center for Advancing Translational Sciences (NCATS) UCLA CTSI Grant Number UL1TR001881 and California HIV/AIDS Research Program grant OS17-LA-002 (TK).
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Affiliation(s)
- Keren Chen
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Nicholas J Jackson
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Theodoros Kelesidis
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA; Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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5
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Umrao S, Zheng M, Jin X, Yao S, Wang X. Net-Shaped DNA Nanostructure-Based Lateral Flow Assays for Rapid and Sensitive SARS-CoV-2 Detection. Anal Chem 2024; 96:3291-3299. [PMID: 38306661 PMCID: PMC10922791 DOI: 10.1021/acs.analchem.3c03698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2024]
Abstract
Lateral flow assay (LFA)-based rapid antigen tests are experiencing extensive global uptake as an expeditious and highly effective modality for the screening of viral infections during the COVID-19 pandemic. While these devices have played a significant role in alleviating the burden on the public healthcare system, their specificity and sensitivity fall short compared with molecular tests. In this study, we endeavor to address both limitations through the utilization of DNA nanotechnology in LFA format, wherein we substitute the target-specific antibody with designer DNA nanostructure-based molecular probes for recognizing the SARS-CoV-2 virus via multivalent, pattern-matching interactions. We meticulously designed a Net-shaped DNA nanostructure and strategically arranged trimeric clusters of aptamers that specifically recognize the spike proteins of SARS-CoV-2. This approach has proven instrumental in bolstering virus-binding affinity on the LFAs. Our findings indicate high LFA sensitivity, enabling the detection of viral loads ranging from 103 to 108 viral copies/mL. This notable sensitivity is maintained across various SARS-CoV-2 viral strains, obviating the need for intricate sample preparation protocols. The significance of this heightened sensitivity lies in the crucial role played by the designer DNA nanostructure, which facilitates the detection of extremely low levels of viral loads. This not only enhances the overall reliability of self-testing but also reduces the likelihood of false-negative results, especially in cases of low viral load within patient samples.
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Affiliation(s)
- Saurabh Umrao
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory (HMNTL), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Carl R. Woese Institute for Genomic Biology (IGB), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Mengxi Zheng
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Carl R. Woese Institute for Genomic Biology (IGB), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Xiaohe Jin
- Atom Bioworks Inc., Cary, North Carolina 27513, United States
| | - Sherwood Yao
- Atom Bioworks Inc., Cary, North Carolina 27513, United States
| | - Xing Wang
- Nick Holonyak Jr. Micro and Nanotechnology Laboratory (HMNTL), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Carl R. Woese Institute for Genomic Biology (IGB), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States
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Su YD, Lai CC, Lin TH, Chen WC, Hsueh PR. Performance evaluation of the cobas SARS-CoV-2 Duo, a novel qualitative and quantitative assay, for the detection of SARS-CoV-2 RNA. Microbiol Spectr 2023; 11:e0136923. [PMID: 37909752 PMCID: PMC10715196 DOI: 10.1128/spectrum.01369-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 09/27/2023] [Indexed: 11/03/2023] Open
Abstract
IMPORTANCE Quantitative SARS-CoV-2 tests for viral load are necessary to guide patient treatment, as well as to determine infection control measures and policies. Although the real-time RT-PCR assays can report the Ct value to estimate the viral load, there are several serious concerns regarding the use of Ct values. Importantly, Ct values can vary significantly among between- and within-run methods. The diagnostic performance of the cobas SARS-CoV-2 Duo is appropriate. It is a precise, accurate, and sensitive method for the detection of SARS-CoV-2 RNA and is comparable to two qualitative assays (the cobas SARS-CoV-2 and the Liat cobas SARS-CoV-2 and Inf A/B). In contrast, using the Ct value to estimate viral load is not reliable, and utilization of a quantitative detection test, such as the cobas SARS-CoV-2 Duo, to accurately measure the viral load is needed.
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Affiliation(s)
- Yang-Di Su
- Department of Laboratory Medicine, China Medical University Hospital, School of Medicine, China Medical University, Taichung, Taiwan
| | - Chih-Cheng Lai
- Department of Internal Medicine, Division of Hospital Medicine, Chi Mei Medical Center, Tainan, Taiwan
| | - Tsai-Hsiu Lin
- Department of Laboratory Medicine, China Medical University Hospital, School of Medicine, China Medical University, Taichung, Taiwan
| | - Wei-Cheng Chen
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine,China Medical University Hospital, Taichung, Taiwan
- Graduate Institute of Biomedical Sciences and School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Po-Ren Hsueh
- Department of Laboratory Medicine, China Medical University Hospital, School of Medicine, China Medical University, Taichung, Taiwan
- Department of Internal Medicine, Division of Infectious Diseases, China Medical University Hospital, School of Medicine, China Medical University, Taichung, Taiwan
- PhD Program for Aging, School of Medicine, China Medical University, Taichung, Taiwan
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7
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Katzenschlager S, Brümmer LE, Schmitz S, Tolle H, Manten K, Gaeddert M, Erdmann C, Lindner A, Tobian F, Grilli M, Pollock NR, Macé A, Erkosar B, Carmona S, Ongarello S, Johnson CC, Sacks JA, Denkinger CM, Yerlikaya S. Comparing SARS-CoV-2 antigen-detection rapid diagnostic tests for COVID-19 self-testing/self-sampling with molecular and professional-use tests: a systematic review and meta-analysis. Sci Rep 2023; 13:21913. [PMID: 38081881 PMCID: PMC10713601 DOI: 10.1038/s41598-023-48892-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
Self-testing is an effective tool to bridge the testing gap for several infectious diseases; however, its performance in detecting SARS-CoV-2 using antigen-detection rapid diagnostic tests (Ag-RDTs) has not been systematically reviewed. This study aimed to inform WHO guidelines by evaluating the accuracy of COVID-19 self-testing and self-sampling coupled with professional Ag-RDT conduct and interpretation. Articles on this topic were searched until November 7th, 2022. Concordance between self-testing/self-sampling and fully professional-use Ag-RDTs was assessed using Cohen's kappa. Bivariate meta-analysis yielded pooled performance estimates. Quality and certainty of evidence were evaluated using QUADAS-2 and GRADE tools. Among 43 studies included, twelve reported on self-testing, and 31 assessed self-sampling only. Around 49.6% showed low risk of bias. Overall concordance with professional-use Ag-RDTs was high (kappa 0.91 [95% confidence interval (CI) 0.88-0.94]). Comparing self-testing/self-sampling to molecular testing, the pooled sensitivity and specificity were 70.5% (95% CI 64.3-76.0) and 99.4% (95% CI 99.1-99.6), respectively. Higher sensitivity (i.e., 93.6% [95% CI 90.4-96.8] for Ct < 25) was estimated in subgroups with higher viral loads using Ct values as a proxy. Despite high heterogeneity among studies, COVID-19 self-testing/self-sampling exhibits high concordance with professional-use Ag-RDTs. This suggests that self-testing/self-sampling can be offered as part of COVID-19 testing strategies.Trial registration: PROSPERO: CRD42021250706.
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Affiliation(s)
- Stephan Katzenschlager
- Department of Anesthesiology, Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Lukas E Brümmer
- Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany
- German Center for Infection Research (DZIF), Partner Site Heidelberg University Hospital, Heidelberg, Germany
| | - Stephani Schmitz
- Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany
- Department of Developmental Biology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Hannah Tolle
- Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany
| | - Katharina Manten
- Department of Anesthesiology, Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
- Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany
| | - Mary Gaeddert
- Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany
| | | | - Andreas Lindner
- Charité Center for Global Health, Institute of International Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Frank Tobian
- Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany
| | | | - Nira R Pollock
- Department of Laboratory Medicine, Boston Children's Hospital, Boston, MA, USA
| | | | | | | | | | - Cheryl C Johnson
- Global HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland
| | - Jilian A Sacks
- Department of Epidemic and Pandemic Preparedness and Prevention, World Health Organization, Geneva, Switzerland
| | - Claudia M Denkinger
- Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany
- German Center for Infection Research (DZIF), Partner Site Heidelberg University Hospital, Heidelberg, Germany
| | - Seda Yerlikaya
- Division of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Im Neuenheimer Feld 324, 69120, Heidelberg, Germany.
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8
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Ho KL, Ding J, Fan JS, Tsui WNT, Bai J, Fan SK. Digital Microfluidic Multiplex RT-qPCR for SARS-CoV-2 Detection and Variants Discrimination. MICROMACHINES 2023; 14:1627. [PMID: 37630161 PMCID: PMC10456927 DOI: 10.3390/mi14081627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/05/2023] [Accepted: 08/11/2023] [Indexed: 08/27/2023]
Abstract
Continuous mutations have occurred in the genome of the SARS-CoV-2 virus since the onset of the COVID-19 pandemic. The increased transmissibility of the mutated viruses has not only imposed medical burdens but also prolonged the duration of the pandemic. A point-of-care (POC) platform that provides multitarget detection will help to track and reduce disease transmissions. Here we detected and discriminated three genotypes of SARS-CoV-2, including the wildtype and two variants of concern (VOCs), the Delta variant and Omicron variant, through reverse transcription quantitative polymerase chain reaction (RT-qPCR) on a digital microfluidics (DMF)-based cartridge. Upon evaluating with the RNA samples of Omicron variant, the DMF RT-qPCR presented a sensitivity of 10 copies/μL and an amplification efficiency of 96.1%, capable for clinical diagnosis. When spiking with SARS-CoV-2 RNA (wildtype, Delta variant, or Omicron variant) and 18S rDNA, the clinical analog samples demonstrated accurate detection and discrimination of different SARS-CoV-2 strains in 49 min.
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Affiliation(s)
- Kuan-Lun Ho
- Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USA; (K.-L.H.); (J.D.)
| | - Jing Ding
- Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USA; (K.-L.H.); (J.D.)
| | - Jia-Shao Fan
- Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA;
| | - Wai Ning Tiffany Tsui
- Kansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, KS 66506, USA; (W.N.T.T.); (J.B.)
| | - Jianfa Bai
- Kansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, KS 66506, USA; (W.N.T.T.); (J.B.)
- Department of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, KS 66506, USA
| | - Shih-Kang Fan
- Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USA; (K.-L.H.); (J.D.)
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9
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Fragkou PC, De Angelis G, Menchinelli G, Can F, Garcia F, Morfin-Sherpa F, Dimopoulou D, Dimopoulou K, Zelli S, de Salazar A, Reiter R, Janocha H, Grossi A, Omony J, Skevaki C. Update of ESCMID COVID-19 guidelines: diagnostic testing for SARS-CoV-2. Clin Microbiol Infect 2023:S1198-743X(23)00192-1. [PMID: 37088423 PMCID: PMC10122552 DOI: 10.1016/j.cmi.2023.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 04/13/2023] [Accepted: 04/16/2023] [Indexed: 04/25/2023]
Abstract
SCOPE Since the onset of coronavirus disease 2019 (COVID-19), several assays have been deployed for the diagnosis of SARS-CoV-2. The European Society of Clinical Microbiology and Infectious Diseases (ESCMID) published the first set of guidelines on SARS-CoV-2 in-vitro diagnosis in February 2022. Since the COVID-19 landscape is rapidly evolving, the relevant ESCMID guidelines panel releases an update of the previously published recommendations on diagnostic testing for SARS-CoV-2. This update aims to delineate the best diagnostic approach for SARS-CoV-2 in different populations based on current evidence. METHODS An ESCMID COVID-19 guidelines task force was established by the ESCMID Executive Committee. A small group was established, half appointed by the chair, and the remaining selected with an open call. The panel met virtually once a week. For all decisions, a simple majority vote was used. A list of clinical questions using the PICO (population, intervention, comparison, and outcome) format was developed at the beginning of the process. For each PICO, two panel members performed a literature search focusing on systematic reviews with a third panellist involved in case of inconsistent results. The panel reassessed the PICOs previously defined as priority in the first set of guidelines and decided to address 49 PICO questions, as 6 of them were discarded as outdated/non-clinically relevant. The "Grading of Recommendations Assessment, Development and Evaluation(GRADE)-adoption, adaptation, and de novo development of recommendations (ADOLOPMENT)" evidence-to-decision framework was utilized to produce the guidelines. QUESTIONS ADDRESSED BY THE GUIDELINE AND RECOMMENDATIONS After literature search, we updated 16 PICO questions; these PICOs address the use of antigen-based assays among symptomatic and asymptomatic patients with different ages, COVID-19 severity status or risk for severe COVID-19, time since onset of symptoms/contact with an infectious case, and finally, types of biomaterials used.
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Affiliation(s)
- Paraskevi C Fragkou
- First Department of Critical Care Medicine & Pulmonary Services, Evangelismos General Hospital, National and Kapodistrian University of Athens, Athens, Greece; European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV)
| | - Giulia De Angelis
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Dipartimento di Scienze di Laboratorio e Infettivologiche, Fondazione Policlinico Universitario A. Gemelli IRCCS - 00168, Rome, Italy
| | - Giulia Menchinelli
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Dipartimento di Scienze di Laboratorio e Infettivologiche, Fondazione Policlinico Universitario A. Gemelli IRCCS - 00168, Rome, Italy; Dipartimento di Scienze Biotecnologiche di Base, Cliniche Intensivologiche e Perioperatorie, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Fusun Can
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Department of Medical Microbiology, Koc University School of Medicine, Istanbul, Turkey; Koc University IsBank Research Centre for Infectious Diseases (KUISCID), Istanbul, Turkey
| | - Federico Garcia
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Servicio de Microbiología Clínica. Hospital Universitario Clínico San Cecilio. Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Spain; Centro de Investigación Biomédicaen Red Enfermedades Infecciosas (CIBERINFEC), ISCIII, Madrid, Spain
| | - Florence Morfin-Sherpa
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Laboratory of Virology, Institut des Agents Infectieux, National Reference Centre for respiratory viruses, Hospices Civils de Lyon, Université Claude Bernard Lyon1, Lyon, France
| | - Dimitra Dimopoulou
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Second Department of Paediatrics, "P. and A. Kyriakou" Children's Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Silvia Zelli
- Dipartimento di Scienze di Laboratorio e Infettivologiche, Fondazione Policlinico Universitario A. Gemelli IRCCS - 00168, Rome, Italy
| | - Adolfo de Salazar
- Servicio de Microbiología Clínica. Hospital Universitario Clínico San Cecilio. Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Spain; Centro de Investigación Biomédicaen Red Enfermedades Infecciosas (CIBERINFEC), ISCIII, Madrid, Spain
| | - Rieke Reiter
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University Marburg, German Centre for Lung Research (DZL), Marburg, Germany
| | - Hannah Janocha
- Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University Marburg, German Centre for Lung Research (DZL), Marburg, Germany
| | | | - Jimmy Omony
- Institute for Asthma and Allergy Prevention (IAP), Helmholtz Zentrum Munich, German Research Centre for Environmental Health (GmbH), Munich, Germany
| | - Chrysanthi Skevaki
- European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Respiratory Viruses (ESGREV); Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Centre (UGMLC), Philipps University Marburg, German Centre for Lung Research (DZL), Marburg, Germany.
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10
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Widyasari K, Kim S. Rapid Antigen Tests during the COVID-19 Era in Korea and Their Implementation as a Detection Tool for Other Infectious Diseases. Bioengineering (Basel) 2023; 10:322. [PMID: 36978713 PMCID: PMC10045740 DOI: 10.3390/bioengineering10030322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 02/24/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
Rapid antigen tests (RATs) are diagnostic tools developed to specifically detect a certain protein of infectious agents (viruses, bacteria, or parasites). RATs are easily accessible due to their rapidity and simplicity. During the COVID-19 pandemic, RATs have been widely used in detecting the presence of the specific SARS-CoV-2 antigen in respiratory samples from suspected individuals. Here, the authors review the application of RATs as detection tools for COVID-19, particularly in Korea, as well as for several other infectious diseases. To address these issues, we present general knowledge on the design of RATs that adopt the lateral flow immunoassay for the detection of the analyte (antigen). The authors then discuss the clinical utilization of the authorized RATs amidst the battle against the COVID-19 pandemic in Korea and their role in comparison with other detection methods. We also discuss the implementation of RATs for other, non-COVID-19 infectious diseases, the challenges that may arise during the application, the limitations of RATs as clinical detection tools, as well as the possible problem solving for those challenges to maximize the performance of RATs and avoiding any misinterpretation of the test result.
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Affiliation(s)
- Kristin Widyasari
- Gyeongsang Institute of Health Sciences, Gyeongsang National University, Jinju 52727, Republic of Korea
| | - Sunjoo Kim
- Gyeongsang Institute of Health Sciences, Gyeongsang National University, Jinju 52727, Republic of Korea
- Department of Laboratory Medicine, College of Medicine, Gyeongsang National University, Jinju 52727, Republic of Korea
- Department of Laboratory Medicine, Gyeongsang National University Changwon Hospital, Changwon 51472, Republic of Korea
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11
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Iyer P, Chino T, Ojcius DM. Infection of the oral cavity with SARS-CoV-2 variants: Scope of salivary diagnostics. FRONTIERS IN ORAL HEALTH 2022; 3:1001790. [PMID: 36389278 PMCID: PMC9659966 DOI: 10.3389/froh.2022.1001790] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 10/05/2022] [Indexed: 01/24/2023] Open
Abstract
Coronaviruses, including SARS-CoV-2, have caused pandemics in the past two decades. The most prevalent SARS-CoV-2 variants of concern can re-infect individuals who have been previously infected with other variants or had protection from vaccines targeting the original SARS-CoV-2 variant. Given the high risk of transmission of coronavirus via aerosols produced during dental procedures, it is important to understand the future risk of coronavirus infection for oral health professionals and to diagnose quickly early stages of outbreaks. Testing of saliva for coronavirus may be the least invasive and most convenient method for following the outbreak at the individual and community level. This review will describe strategies for diagnosis of coronavirus in saliva.
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Affiliation(s)
- Parvati Iyer
- Department of Diagnostic Sciences, University of the Pacific, Arthur Dugoni School of Dentistry, San Francisco, CA, United States
| | - Takahiro Chino
- Department of Biomedical Sciences, University of the Pacific Arthur A. Dugoni School of Dentistry, San Francisco, CA, United States
| | - David M. Ojcius
- Department of Biomedical Sciences, University of the Pacific Arthur A. Dugoni School of Dentistry, San Francisco, CA, United States
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12
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Neukam K, Lucero A, Gutiérrez-Valencia A, Amaya L, Echegoyen N, Martelli A, Videla C, Di Lello FA, Martínez AP. Point-of-care detection of SARS-CoV-2 antigen among symptomatic vs. asymptomatic persons: Testing for COVID-19 vs. infectivity. Front Public Health 2022; 10:995249. [PMID: 36324442 PMCID: PMC9619045 DOI: 10.3389/fpubh.2022.995249] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 09/12/2022] [Indexed: 01/26/2023] Open
Abstract
Background Management of the coronavirus disease 2019 (COVID-19) pandemic caused by a novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) requires rapid and simple methods to detect COVID-19 patients and identify potential infectors. This study aimed to evaluate the utility of a point-of-care (PoC) rapid antigen diagnostic test (Ag-RDT) in these settings. Patients and methods Individuals who consecutively presented for SARS-CoV-2 testing at a tertiary care center in Buenos Aires, Argentina, underwent PoC Ag-RDT testing and real-time RT-PCR (qRT-PCR) on the same day during June 2021. Results Of 584 included subjects, 108 (18.5%) were symptomatic for COVID-19 while the remaining presented for miscellaneous reasons unrelated to possible or confirmed contact with a SARS-CoV-2-infected individual. A positive Ag-RDT result was obtained in 26 (24.1%) symptomatic and 7 (1.5%) asymptomatic persons (p < 0.001), which was concordant with qRT-PCR in 105/108 [97.2%, Cohen's kappa coefficient (κ) = 0.927] symptomatic and 467/476 (98.1% κ = 0.563) asymptomatic participants, with a positive percentage agreement (PPA; 95% confidence interval) of 89.7% (71.5-97.3%) and 42.9% (18.8-70.4%), respectively. None of the 11 false-negative diagnoses showed a Ct-value ≤20. Considering only failures with a Ct-value below 31 as hypothetical infectivity threshold of 105 SARS-CoV-2 RNA copies/mL, concordance was observed in 98.1% (κ = 0.746) in the asymptomatic population, accounting for a PPA of 66.7% (30.9-91%). Conclusions PoC Ag-RDT accurately detected active SARS-CoV-2 infection and showed acceptable diagnostic performance in asymptomatic persons potentially spreading infectious virus. Ag-RDT may therefore be useful to slow down or stop transmission by enabling adequate decisions on isolation at a public health level.
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Affiliation(s)
- Karin Neukam
- Unit of Infectious Diseases, Microbiology and Preventive Medicine, Virgen del Rocío University Hospital, Seville, Spain,Instituto de Biomedicina de Sevilla, University of Seville, Consejo Superior de Investigaciones Científicas (CSIC), Seville, Spain,*Correspondence: Karin Neukam
| | - Alicia Lucero
- Virology Section, Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno “CEMIC”, Buenos Aires, Argentina
| | - Alicia Gutiérrez-Valencia
- Unit of Infectious Diseases, Microbiology and Preventive Medicine, Virgen del Rocío University Hospital, Seville, Spain,Instituto de Biomedicina de Sevilla, University of Seville, Consejo Superior de Investigaciones Científicas (CSIC), Seville, Spain
| | - Lucas Amaya
- Virology Section, Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno “CEMIC”, Buenos Aires, Argentina
| | - Natalia Echegoyen
- Virology Section, Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno “CEMIC”, Buenos Aires, Argentina
| | - Antonella Martelli
- Virology Section, Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno “CEMIC”, Buenos Aires, Argentina
| | - Cristina Videla
- Virology Section, Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno “CEMIC”, Buenos Aires, Argentina
| | - Federico A. Di Lello
- Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM), Universidad de Buenos Aires, Buenos Aires, Argentina,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina,Federico A. Di Lello
| | - Alfredo P. Martínez
- Virology Section, Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno “CEMIC”, Buenos Aires, Argentina
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