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Hayden MK, Hanson KE, Englund JA, Lee F, Lee MJ, Loeb M, Morgan DJ, Patel R, El Alayli A, El Mikati IK, Sultan S, Falck-Ytter Y, Mansour R, Amarin JZ, Morgan RL, Murad MH, Patel P, Bhimraj A, Mustafa RA. The Infectious Diseases Society of America Guidelines on the Diagnosis of COVID-19: Antigen Testing (January 2023). Clin Infect Dis 2024; 78:e350-e384. [PMID: 36702617 DOI: 10.1093/cid/ciad032] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 01/13/2023] [Indexed: 01/28/2023] Open
Abstract
Immunoassays designed to detect SARS-CoV-2 protein antigens (Ag) are commonly used to diagnose COVID-19. The most widely used tests are lateral flow assays that generate results in approximately 15 minutes for diagnosis at the point-of-care. Higher throughput, laboratory-based SARS-CoV-2 Ag assays have also been developed. The number of commercially available SARS-CoV-2 Ag detection tests has increased rapidly, as has the COVID-19 diagnostic literature. The Infectious Diseases Society of America (IDSA) convened an expert panel to perform a systematic review of the literature and develop best-practice guidance related to SARS-CoV-2 Ag testing. This guideline is an update to the third in a series of frequently updated COVID-19 diagnostic guidelines developed by the IDSA. IDSA's goal was to develop evidence-based recommendations or suggestions that assist clinicians, clinical laboratories, patients, public health authorities, administrators, and policymakers in decisions related to the optimal use of SARS-CoV-2 Ag tests in both medical and nonmedical settings. A multidisciplinary panel of infectious diseases clinicians, clinical microbiologists, and experts in systematic literature review identified and prioritized clinical questions related to the use of SARS-CoV-2 Ag tests. A review of relevant, peer-reviewed published literature was conducted through 1 April 2022. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology was used to assess the certainty of evidence and make testing recommendations. The panel made 10 diagnostic recommendations that address Ag testing in symptomatic and asymptomatic individuals and assess single versus repeat testing strategies. US Food and Drug Administration (FDA) SARS-CoV-2 Ag tests with Emergency Use Authorization (EUA) have high specificity and low to moderate sensitivity compared with nucleic acid amplification testing (NAAT). Ag test sensitivity is dependent on the presence or absence of symptoms and, in symptomatic patients, on timing of testing after symptom onset. In most cases, positive Ag results can be acted upon without confirmation. Results of point-of-care testing are comparable to those of laboratory-based testing, and observed or unobserved self-collection of specimens for testing yields similar results. Modeling suggests that repeat Ag testing increases sensitivity compared with testing once, but no empirical data were available to inform this question. Based on these observations, rapid RT-PCR or laboratory-based NAAT remain the testing methods of choice for diagnosing SARS-CoV-2 infection. However, when timely molecular testing is not readily available or is logistically infeasible, Ag testing helps identify individuals with SARS-CoV-2 infection. Data were insufficient to make a recommendation about the utility of Ag testing to guide release of patients with COVID-19 from isolation. The overall quality of available evidence supporting use of Ag testing was graded as very low to moderate.
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Affiliation(s)
- Mary K Hayden
- Division of Infectious Diseases, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
- Department of Pathology, Rush University Medical Center, Chicago, Illinois, USA
| | - Kimberly E Hanson
- Divisions of Infectious Diseases and Clinical Microbiology, University of Utah, Salt Lake City, Utah, USA
| | - Janet A Englund
- Department of Pediatrics, University of Washington, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Francesca Lee
- Departments of Pathology and Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Mark J Lee
- Department of Pathology and Clinical Microbiology Laboratory, Duke University School of Medicine, Durham, North Carolina, USA
| | - Mark Loeb
- Division of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Daniel J Morgan
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Robin Patel
- Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology, and the Division of Public Health, Infectious Diseases, and Occupational Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Abdallah El Alayli
- Department of Internal Medicine, Saint Louis University, St Louis, Missouri, USA
| | - Ibrahim K El Mikati
- Outcomes and Implementation Research Unit, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Shahnaz Sultan
- Division of Gastroenterology, Hepatology, and Nutrition, University of Minnesota, Minneapolis VA Healthcare System, Minneapolis, Minnesota, USA
| | - Yngve Falck-Ytter
- Department of Medicine, Case Western Reserve University, School of Medicine, Cleveland, Ohio, USA
- VA Northeast Ohio Healthcare System, Cleveland, Ohio, USA
| | - Razan Mansour
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Justin Z Amarin
- Division of Pediatric Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Rebecca L Morgan
- Department of Medicine, Case Western Reserve University, School of Medicine, Cleveland, Ohio, USA
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - M Hassan Murad
- Division of Public Health, Infectious diseases and occupational Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Payal Patel
- Department of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, Georgia, USA
| | - Adarsh Bhimraj
- Department of Infectious Diseases, Cleveland Clinic, Cleveland, Ohio, USA
| | - Reem A Mustafa
- Division of Nephrology and Hypertension, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, 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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3
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Gobena D, Gudina EK, Gebre G, Degfie TT, Mekonnen Z. Rapid antigen test as a screening tool for SARS-CoV-2 infection: Head-to-head comparison with qRT-PCR in Ethiopia. Heliyon 2024; 10:e23518. [PMID: 38169801 PMCID: PMC10758869 DOI: 10.1016/j.heliyon.2023.e23518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 12/05/2023] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
Objective This study aimed to determine the diagnostic accuracy of the antigen rapid diagnostic test (Ag-RDT) as a screening tool for SARS-CoV-2 infection compared to Quantitative reverse transcription polymerase chain reaction (qRT-PCR). Methods This study was conducted at six referral hospitals in Oromia Region, Ethiopia. One thousand seven hundred twenty-one patients who visited the hospitals for various medical conditions were tested with qRT-PCR and/or Ag-RDTs. Qualitative detection of SARS-CoV-2 antigen was performed using the Panbio™ COVID-19 Ag rapid test device. Results Compared with qRT-PCR, Ag-RDTs had a sensitivity of 33.3 % (95%CI: 30.9%-35.9 %) and a specificity of 99.3 % (95%CI: 98.8%-99.7 %) to detect active SARS-CoV-2 infection. The area under the receiver operator curve was 0.67 (95%CI: 0.63-0.69). The sensitivity of Ag-RDTs appeared high in patients with shortness of breath (73.3 %) and those presenting with all three symptoms - fever, cough, and dyspnea (71.4 %). In all instances, specificity was more than 98 %. The Ag-RDT positivity rate also correlated well with viral load: 51.7 % in cases with cycle threshold (Ct) < 25 (high viral load) and only 3.4 % when Ct > 25 (low viral load). Conclusion Although Ag-RDT for diagnosing SARS-CoV-2 is a good option as a point-of-care screening tool, it has a low sensitivity to detect active infections. Using Panbio™ COVID-19 Ag Rapid test for diagnostic and treatment decisions may lead to a false negative, resulting in patient misdiagnosis, ultimately contributing to disease spread and poor patient outcome.
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Affiliation(s)
- Dabesa Gobena
- Public Health Emergency Management and Health Research Directorate, Oromia Health Bureau, Addis Ababa, Ethiopia
- School of Medical Laboratory Sciences, Institute of Health, Jimma University, Jimma, Ethiopia
| | | | - Getu Gebre
- Public Health Emergency Management and Health Research Directorate, Oromia Health Bureau, Addis Ababa, Ethiopia
| | - Tizta Tilahun Degfie
- Department of Reproductive Health and Population Studies, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
- Fenot Project, Department of Global Health and Population, Harvard T.H. Chan School, Ethiopia
| | - Zeleke Mekonnen
- School of Medical Laboratory Sciences, Institute of Health, Jimma University, Jimma, Ethiopia
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Lin C, Wang W, Li M, Lin Y, Yang Z, Urbina AN, Assavalapsakul W, Thitithanyanont A, Chen K, Kuo C, Lin Y, Hsiao H, Lin K, Lin S, Chen Y, Yu M, Su L, Wang S. Boosting the detection performance of severe acute respiratory syndrome coronavirus 2 test through a sensitive optical biosensor with new superior antibody. Bioeng Transl Med 2022; 8:e10410. [PMID: 36248235 PMCID: PMC9538096 DOI: 10.1002/btm2.10410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 11/15/2022] Open
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus emerged in late 2019 leading to the COVID-19 disease pandemic that triggered socioeconomic turmoil worldwide. A precise, prompt, and affordable diagnostic assay is essential for the detection of SARS-CoV-2 as well as its variants. Antibody against SARS-CoV-2 spike (S) protein was reported as a suitable strategy for therapy and diagnosis of COVID-19. We, therefore, developed a quick and precise phase-sensitive surface plasmon resonance (PS-SPR) biosensor integrated with a novel generated anti-S monoclonal antibody (S-mAb). Our results indicated that the newly generated S-mAb could detect the original SARS-CoV-2 strain along with its variants. In addition, a SARS-CoV-2 pseudovirus, which could be processed in BSL-2 facility was generated for evaluation of sensitivity and specificity of the assays including PS-SPR, homemade target-captured ELISA, spike rapid antigen test (SRAT), and quantitative reverse transcription polymerase chain reaction (qRT-PCR). Experimentally, PS-SPR exerted high sensitivity to detect SARS-CoV-2 pseudovirus at 589 copies/ml, with 7-fold and 70-fold increase in sensitivity when compared with the two conventional immunoassays, including homemade target-captured ELISA (4 × 103 copies/ml) and SRAT (4 × 104 copies/ml), using the identical antibody. Moreover, the PS-SPR was applied in the measurement of mimic clinical samples containing the SARS-CoV-2 pseudovirus mixed with nasal mucosa. The detection limit of PS-SPR is calculated to be 1725 copies/ml, which has higher accuracy than homemade target-captured ELISA (4 × 104 copies/ml) and SRAT (4 × 105 copies/ml) and is comparable with qRT-PCR (1250 copies/ml). Finally, the ability of PS-SPR to detect SARS-CoV-2 in real clinical specimens was further demonstrated, and the assay time was less than 10 min. Taken together, our results indicate that this novel S-mAb integrated into PS-SPR biosensor demonstrates high sensitivity and is time-saving in SARS-CoV-2 virus detection. This study suggests that incorporation of a high specific recognizer in SPR biosensor is an alternative strategy that could be applied in developing other emerging or re-emerging pathogenic detection platforms.
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Affiliation(s)
- Chih‐Yen Lin
- Department of Medical Laboratory Science and BiotechnologyKaohsiung Medical UniversityKaohsiungTaiwan
- Center for Tropical Medicine and Infectious Disease ResearchKaohsiung Medical UniversityKaohsiungTaiwan
| | - Wen‐Hung Wang
- Center for Tropical Medicine and Infectious Disease ResearchKaohsiung Medical UniversityKaohsiungTaiwan
- School of Medicine, College of MedicineNational Sun Yat‐Sen UniversityKaohsiungTaiwan
- Division of Infection Disease, Department of Internal MedicineKaohsiung Medical University HospitalKaohsiungTaiwan
| | - Meng‐Chi Li
- Thin Film Technology CenterNational Central UniversityTaoyuanTaiwan
- Optical Sciences CenterNational Central UniversityTaoyuanTaiwan
| | - Yu‐Ting Lin
- Department of Medical Laboratory Science and BiotechnologyKaohsiung Medical UniversityKaohsiungTaiwan
- Center for Tropical Medicine and Infectious Disease ResearchKaohsiung Medical UniversityKaohsiungTaiwan
| | - Zih‐Syuan Yang
- Department of Medical Laboratory Science and BiotechnologyKaohsiung Medical UniversityKaohsiungTaiwan
- Center for Tropical Medicine and Infectious Disease ResearchKaohsiung Medical UniversityKaohsiungTaiwan
| | - Aspiro Nayim Urbina
- Center for Tropical Medicine and Infectious Disease ResearchKaohsiung Medical UniversityKaohsiungTaiwan
| | | | | | - Kai‐Ren Chen
- Department of Optics and PhotonicsNational Central UniversityTaoyuanTaiwan
| | - Chien‐Cheng Kuo
- Thin Film Technology CenterNational Central UniversityTaoyuanTaiwan
- Department of Optics and PhotonicsNational Central UniversityTaoyuanTaiwan
| | | | - Hui‐Hua Hsiao
- Division of Hematology and Oncology, Department of Internal MedicineKaohsiung Medical University HospitalKaohsiungTaiwan
| | - Kun‐Der Lin
- Division of Endocrinology and MetabolismKaohsiung Medical University Hospital, Kaohsiung Medical UniversityKaohsiungTaiwan
| | - Shang‐Yi Lin
- Division of Infection Disease, Department of Internal MedicineKaohsiung Medical University HospitalKaohsiungTaiwan
- Department of Laboratory MedicineKaohsiung Medical University HospitalKaohsiungTaiwan
| | - Yen‐Hsu Chen
- Center for Tropical Medicine and Infectious Disease ResearchKaohsiung Medical UniversityKaohsiungTaiwan
- School of Medicine, College of MedicineNational Sun Yat‐Sen UniversityKaohsiungTaiwan
- Division of Infection Disease, Department of Internal MedicineKaohsiung Medical University HospitalKaohsiungTaiwan
| | - Ming‐Lung Yu
- School of Medicine, College of MedicineNational Sun Yat‐Sen UniversityKaohsiungTaiwan
- Hepatobiliary Section, Department of Internal Medicine, and Hepatitis CenterKaohsiung Medical University HospitalKaohsiungTaiwan
| | - Li‐Chen Su
- General Education CenterMing Chi University of TechnologyNew Taipei CityTaiwan
- Organic Electronics Research CenterMing Chi University of TechnologyNew Taipei CityTaiwan
| | - Sheng‐Fan Wang
- Department of Medical Laboratory Science and BiotechnologyKaohsiung Medical UniversityKaohsiungTaiwan
- Center for Tropical Medicine and Infectious Disease ResearchKaohsiung Medical UniversityKaohsiungTaiwan
- Department of Medical ResearchKaohsiung Medical University HospitalKaohsiungTaiwan
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5
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Lippi G, Henry BM, Plebani M, Adeli K. Systematic Review of Diagnostic Accuracy of DiaSorin Liaison SARS-CoV-2 Antigen Immunoassay. EJIFCC 2022; 33:94-104. [PMID: 36313904 PMCID: PMC9562478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Background Quantification of SARS-CoV-2 antigens by means of rapid, high-throughput and fully-automated techniques has been proposed as a feasible alternative to overcome the current shortage of resources for routine molecular diagnostics. To this end, we provide here a systematic review of diagnostic accuracy of DiaSorin Liaison SARS-CoV-2 antigen immunoassay. Methods An electronic search was conduced in Medline and Scopus, with no language or date restrictions (up to January 20, 2022), for identifying all published studies articles in which the diagnostic performance of the DiaSorin Liaison SARS-CoV-2 antigen immunoassay was compared with molecular diagnostic techniques. Results The electronic search identified a final number of 11 studies, totalling 4449 oro- and naso-pharyngeal specimens. The pooled diagnostic sensitivity, specificity and area under the curve (AUC) of the Liaison SARS-CoV-2 antigen immunoassay in all samples were 0.51 (95%CI, 0.49-0.54), 1.00 (95%CI, 1.00-1.00) and 0.994 (95%CI, 0.990-0.998), respectively, whilst the overall concordance with molecular diagnostics was 82.1%. The pooled diagnostic sensitivity, specificity and AUC of the Liaison SARS-CoV-2 antigen immunoassay in specimens with high viral load (i.e., cycle threshold values <25-30) were 0.79 (95%CI, 0.75-0.82), 1.00 (95%CI, 0.99-1.00) and 0.911 (95%CI, 0.879-0.943), respectively, whilst the overall concordance with molecular diagnostics in such samples increased to 94.2%. Conclusion The results of this systematic literature review suggest that there is sufficient accuracy of the DiaSorin Liaison SARS-CoV-2 antigen immunoassay in samples with high viral loads that would enable its reliable usage for identifying superspreaders, who are responsible for the vast majority of transmission events.
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Affiliation(s)
- Giuseppe Lippi
- IFCC Task Force on COVID-19, Milano, Italy, Section of Clinical Biochemistry, University of Verona, Verona, Italy,Corresponding author: Prof. Giuseppe Lippi Section of Clinical Biochemistry University Hospital of Verona Piazzale L.A. Scuro, 10 37134 Verona Italy Phone: 0039-045-8122970 Fax: 0039-045-8124308 E-mail:
| | - Brandon M. Henry
- IFCC Task Force on COVID-19, Milano, Italy, Clinical Laboratory, Division of Nephrology and Hypertension, Cincinnati Children’s Hospital Medical Center, Cincinnati OH, USA, Disease Intervention & Prevention and Population Health Programs, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | | | - Khosrow Adeli
- IFCC Task Force on COVID-19, Milano, Italy, Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
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Kost GJ. The Coronavirus Disease 2019 Spatial Care Path: Home, Community, and Emergency Diagnostic Portals. Diagnostics (Basel) 2022; 12:diagnostics12051216. [PMID: 35626375 PMCID: PMC9140623 DOI: 10.3390/diagnostics12051216] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 05/10/2022] [Accepted: 05/10/2022] [Indexed: 12/28/2022] Open
Abstract
This research uses mathematically derived visual logistics to interpret COVID-19 molecular and rapid antigen test (RAgT) performance, determine prevalence boundaries where risk exceeds expectations, and evaluate benefits of recursive testing along home, community, and emergency spatial care paths. Mathematica and open access software helped graph relationships, compare performance patterns, and perform recursive computations. Tiered sensitivity/specificity comprise: (T1) 90%/95%; (T2) 95%/97.5%; and (T3) 100%/≥99%, respectively. In emergency medicine, median RAgT performance peaks at 13.2% prevalence, then falls below T1, generating risky prevalence boundaries. RAgTs in pediatric ERs/EDs parallel this pattern with asymptomatic worse than symptomatic performance. In communities, RAgTs display large uncertainty with median prevalence boundary of 14.8% for 1/20 missed diagnoses, and at prevalence > 33.3−36.9% risk 10% false omissions for symptomatic subjects. Recursive testing improves home RAgT performance. Home molecular tests elevate performance above T1 but lack adequate validation. Widespread RAgT availability encourages self-testing. Asymptomatic RAgT and PCR-based saliva testing present the highest chance of missed diagnoses. Home testing twice, once just before mingling, and molecular-based self-testing, help avoid false omissions. Community and ER/ED RAgTs can identify contagiousness in low prevalence. Real-world trials of performance, cost-effectiveness, and public health impact could identify home molecular diagnostics as an optimal diagnostic portal.
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Affiliation(s)
- Gerald J Kost
- Fulbright Scholar 2020-2022, ASEAN Program, Point-of-Care Testing Center for Teaching and Research (POCT•CTR), Pathology and Laboratory Medicine, School of Medicine, University of California, Davis, CA 95616, USA
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Rando HM, Brueffer C, Lordan R, Dattoli AA, Manheim D, Meyer JG, Mundo AI, Perrin D, Mai D, Wellhausen N, Gitter A, Greene CS. Molecular and Serologic Diagnostic Technologies for SARS-CoV-2. ARXIV 2022:arXiv:2204.12598v2. [PMID: 35547240 PMCID: PMC9094103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Revised: 04/28/2022] [Indexed: 01/09/2023]
Abstract
The COVID-19 pandemic has presented many challenges that have spurred biotechnological research to address specific problems. Diagnostics is one area where biotechnology has been critical. Diagnostic tests play a vital role in managing a viral threat by facilitating the detection of infected and/or recovered individuals. From the perspective of what information is provided, these tests fall into two major categories, molecular and serological. Molecular diagnostic techniques assay whether a virus is present in a biological sample, thus making it possible to identify individuals who are currently infected. Additionally, when the immune system is exposed to a virus, it responds by producing antibodies specific to the virus. Serological tests make it possible to identify individuals who have mounted an immune response to a virus of interest and therefore facilitate the identification of individuals who have previously encountered the virus. These two categories of tests provide different perspectives valuable to understanding the spread of SARS-CoV-2. Within these categories, different biotechnological approaches offer specific advantages and disadvantages. Here we review the categories of tests developed for the detection of the SARS-CoV-2 virus or antibodies against SARS-CoV-2 and discuss the role of diagnostics in the COVID-19 pandemic.
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Affiliation(s)
- Halie M Rando
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America; Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, United States of America; Center for Health AI, University of Colorado School of Medicine, Aurora, Colorado, United States of America · Funded by the Gordon and Betty Moore Foundation (GBMF 4552); the National Human Genome Research Institute (R01 HG010067)
| | | | - Ronan Lordan
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-5158, USA; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania; Philadelphia, PA 19104, USA
| | - Anna Ada Dattoli
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Systems Pharmacology & Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David Manheim
- 1DaySooner, Delaware, United States of America; Risk and Health Communication Research Center, School of Public Health, University of Haifa, Haifa, Israel; Technion, Israel Institute of Technology, Haifa, Israel · Funded by Center for Effective Altruism, Long Term Future Fund
| | - Jesse G Meyer
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America · Funded by National Institute of General Medical Sciences (R35 GM142502)
| | - Ariel I Mundo
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas, USA
| | - Dimitri Perrin
- School of Computer Science, Queensland University of Technology, Brisbane, Australia; Centre for Data Science, Queensland University of Technology, Brisbane, Australia
| | - David Mai
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA; Center for Cellular Immunotherapies, Perelman School of Medicine, and Parker Institute for Cancer Immunotherapy at University of Pennsylvania, Philadelphia, PA, USA
| | - Nils Wellhausen
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Anthony Gitter
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America; Morgridge Institute for Research, Madison, Wisconsin, United States of America · Funded by John W. and Jeanne M. Rowe Center for Research in Virology
| | - Casey S Greene
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America; Childhood Cancer Data Lab, Alex's Lemonade Stand Foundation, Philadelphia, Pennsylvania, United States of America; Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, United States of America; Center for Health AI, University of Colorado School of Medicine, Aurora, Colorado, United States of America · Funded by the Gordon and Betty Moore Foundation (GBMF 4552); the National Human Genome Research Institute (R01 HG010067)
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Lau CS, Aw TC. SARS-CoV-2 Antigen Testing Intervals: Twice or Thrice a Week? Diagnostics (Basel) 2022; 12:1039. [PMID: 35626195 PMCID: PMC9139623 DOI: 10.3390/diagnostics12051039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 04/12/2022] [Accepted: 04/19/2022] [Indexed: 02/01/2023] Open
Abstract
Antigen testing for SARS-CoV-2 has become an increasingly prominent screening tool in the ongoing COVID-19 pandemic and can be performed multiple times a week. However, the optimal weekly frequency of antigen testing is unclear; the Centers for Disease Control and Prevention recommends 1-3 times a week, while some experts support testing 2-3 times a week. In our own laboratory, all staff (n = 161) underwent twice- and thrice-weekly antigen tests during different periods from August 2021 to the present as part of routine COVID-19 surveillance of healthcare workers. No cases of COVID-19 were detected with either regimen. While more frequent SARS-CoV-2 antigen testing may allow antigen testing to be an important surrogate for RT-PCR testing, performing SARS-CoV-2 antigen tests twice or thrice a week shows no inferiority to each other in screening for COVID-19.
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Affiliation(s)
- Chin Shern Lau
- Department of Laboratory Medicine, Changi General Hospital, Singapore 529889, Singapore;
| | - Tar-Choon Aw
- Department of Laboratory Medicine, Changi General Hospital, Singapore 529889, Singapore;
- Department of Medicine, National University of Singapore, Singapore 119077, Singapore
- Academic Pathology Program, Duke-NUS Medical School, Singapore 169857, Singapore
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Martínez-Roque MA, Franco-Urquijo PA, García-Velásquez VM, Choukeife M, Mayer G, Molina-Ramírez SR, Figueroa-Miranda G, Mayer D, Alvarez-Salas LM. DNA aptamer selection for SARS-CoV-2 spike glycoprotein detection. Anal Biochem 2022; 645:114633. [PMID: 35247355 PMCID: PMC8889740 DOI: 10.1016/j.ab.2022.114633] [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: 11/03/2021] [Revised: 02/24/2022] [Accepted: 02/27/2022] [Indexed: 02/07/2023]
Abstract
The rapid spread of SARS-CoV-2 infection throughout the world led to a global public health and economic crisis triggering an urgent need for the development of low-cost vaccines, therapies and high-throughput detection assays. In this work, we used a combination of Ideal-Filter Capillary Electrophoresis SELEX (IFCE-SELEX), Next Generation Sequencing (NGS) and binding assays to isolate and validate single-stranded DNA aptamers that can specifically recognize the SARS-CoV-2 Spike glycoprotein. Two selected non-competing DNA aptamers, C7 and C9 were successfully used as sensitive and specific biological recognition elements for the development of electrochemical and fluorescent aptasensors for the SARS-CoV-2 Spike glycoprotein with detection limits of 0.07 fM and 41.87 nM, respectively.
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Affiliation(s)
- Mateo Alejandro Martínez-Roque
- Laboratorio de Terapia Génica, Departamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del I.P.N., CDMX, 07360, Mexico
| | - Pablo Alberto Franco-Urquijo
- Laboratorio de Terapia Génica, Departamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del I.P.N., CDMX, 07360, Mexico
| | - Víctor Miguel García-Velásquez
- Laboratorio de Terapia Génica, Departamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del I.P.N., CDMX, 07360, Mexico
| | - Moujab Choukeife
- Life and Medical Sciences (LIMES) Institute, University of Bonn, 53121, Bonn, Germany
| | - Günther Mayer
- Life and Medical Sciences (LIMES) Institute, University of Bonn, 53121, Bonn, Germany
| | - Sergio Roberto Molina-Ramírez
- Institute of Biological Information Processing, Bioelectronics (IBI-3), Forschungszentrum Jülich GmbH, 52428, Jülich, Germany
| | - Gabriela Figueroa-Miranda
- Institute of Biological Information Processing, Bioelectronics (IBI-3), Forschungszentrum Jülich GmbH, 52428, Jülich, Germany
| | - Dirk Mayer
- Institute of Biological Information Processing, Bioelectronics (IBI-3), Forschungszentrum Jülich GmbH, 52428, Jülich, Germany
| | - Luis M Alvarez-Salas
- Laboratorio de Terapia Génica, Departamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del I.P.N., CDMX, 07360, Mexico.
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