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Kim AE, Bennett JC, Luiten K, O'Hanlon JA, Wolf CR, Magedson A, Han PD, Acker Z, Regelbrugge L, McCaffrey KM, Stone J, Reinhart D, Capodanno BJ, Morse SS, Bedford T, Englund JA, Boeckh M, Starita LM, Uyeki TM, Carone M, Weil A, Chu HY. Comparative diagnostic utility of SARS-CoV-2 rapid antigen and molecular testing in a community setting. J Infect Dis 2024:jiae150. [PMID: 38531685 DOI: 10.1093/infdis/jiae150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 03/12/2024] [Accepted: 03/16/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND SARS-CoV-2 antigen-detection rapid diagnostic tests (Ag-RDTs) have become widely utilized but longitudinal characterization of their community-based performance remains incompletely understood. METHODS This prospective longitudinal study at a large public university in Seattle, WA utilized remote enrollment, online surveys, and self-collected nasal swab specimens to evaluate Ag-RDT performance against real-time reverse transcription polymerase chain reaction (rRT-PCR) in the context of SARS-CoV-2 Omicron. Ag-RDT sensitivity and specificity within 1 day of rRT-PCR were evaluated by symptom status throughout the illness episode and Orf1b cycle threshold (Ct). RESULTS From February to December 2022, 5,757 participants reported 17,572 Ag-RDT results and completed 12,674 rRT-PCR tests, of which 995 (7.9%) were rRT-PCR-positive. Overall sensitivity and specificity were 53.0% (95% CI: 49.6-56.4%) and 98.8% (98.5-99.0%), respectively. Sensitivity was comparatively higher for Ag-RDTs used 1 day after rRT-PCR (69.0%), 4 to 7 days post-symptom onset (70.1%), and Orf1b Ct ≤20 (82.7%). Serial Ag-RDT sensitivity increased with repeat testing ≥2 (68.5%) and ≥4 (75.8%) days after an initial Ag-RDT-negative result. CONCLUSION Ag-RDT performance varied by clinical characteristics and temporal testing patterns. Our findings support recommendations for serial testing following an initial Ag-RDT-negative result, especially among recently symptomatic persons or those at high-risk for SARS-CoV-2 infection.
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Affiliation(s)
- Ashley E Kim
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Julia C Bennett
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Kyle Luiten
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jessica A O'Hanlon
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Caitlin R Wolf
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ariana Magedson
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Peter D Han
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Zack Acker
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Lani Regelbrugge
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Jeremey Stone
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - David Reinhart
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Benjamin J Capodanno
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Stephen S Morse
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Trevor Bedford
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
| | | | - Michael Boeckh
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Lea M Starita
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Timothy M Uyeki
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Marco Carone
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Ana Weil
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Helen Y Chu
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
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Bennett JC, Luiten KG, O'Hanlon J, Han PD, McDonald D, Wright T, Wolf CR, Lo NK, Acker Z, Regelbrugge L, McCaffrey KM, Pfau B, Stone J, Schwabe-Fry K, Lockwood CM, Guthrie BL, Gottlieb GS, Englund JA, Uyeki TM, Carone M, Starita LM, Weil AA, Chu HY. Utilizing a university testing program to estimate relative effectiveness of monovalent COVID-19 mRNA booster vaccine versus two-dose primary series against symptomatic SARS-CoV-2 infection. Vaccine 2024; 42:1332-1341. [PMID: 38307746 DOI: 10.1016/j.vaccine.2024.01.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/23/2024] [Accepted: 01/24/2024] [Indexed: 02/04/2024]
Abstract
Vaccine effectiveness (VE) studies utilizing the test-negative design are typically conducted in clinical settings, rather than community populations, leading to bias in VE estimates against mild disease and limited information on VE in healthy young adults. In a community-based university population, we utilized data from a large SARS-CoV-2 testing program to estimate relative VE of COVID-19 mRNA vaccine primary series and monovalent booster dose versus primary series only against symptomatic SARS-CoV-2 infection from September 2021 to July 2022. We used the test-negative design and logistic regression implemented via generalized estimating equations adjusted for age, calendar time, prior SARS-CoV-2 infection, and testing frequency (proxy for test-seeking behavior) to estimate relative VE. Analyses included 2,218 test-positive cases (59 % received monovalent booster dose) and 9,615 test-negative controls (62 %) from 9,066 individuals, with median age of 21 years, mostly students (71 %), White (56 %) or Asian (28 %), and with few comorbidities (3 %). More cases (23 %) than controls (6 %) had COVID-19-like illness. Estimated adjusted relative VE of primary series and monovalent booster dose versus primary series only against symptomatic SARS-CoV-2 infection was 40 % (95 % CI: 33-47 %) during the overall analysis period and 46 % (39-52 %) during the period of Omicron circulation. Relative VE was greater for those without versus those with prior SARS-CoV-2 infection (41 %, 34-48 % versus 33 %, 9 %-52 %, P < 0.001). Relative VE was also greater in the six months after receiving a booster dose (41 %, 33-47 %) compared to more than six months (27 %, 8-42 %), but this difference was not statistically significant (P = 0.06). In this relatively young and healthy adult population, an mRNA monovalent booster dose provided increased protection against symptomatic SARS-CoV-2 infection, overall and with the Omicron variant. University testing programs may be utilized for estimating VE in healthy young adults, a population that is not well-represented by routine VE studies.
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Affiliation(s)
- Julia C Bennett
- Department of Medicine, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA.
| | - Kyle G Luiten
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jessica O'Hanlon
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Peter D Han
- Brotman Baty Institute, Seattle, WA, USA; Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Devon McDonald
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Tessa Wright
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Caitlin R Wolf
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Natalie K Lo
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Zack Acker
- Brotman Baty Institute, Seattle, WA, USA
| | | | | | - Brian Pfau
- Brotman Baty Institute, Seattle, WA, USA
| | - Jeremey Stone
- Brotman Baty Institute, Seattle, WA, USA; Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Christina M Lockwood
- Brotman Baty Institute, Seattle, WA, USA; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
| | - Brandon L Guthrie
- Department of Epidemiology, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA
| | - Geoffrey S Gottlieb
- Department of Medicine, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA; Center for Emerging and Re-Emerging Infectious Diseases, University of Washington, Seattle, WA, USA; Environmental Health & Safety Department, University of Washington, Seattle, WA, USA
| | - Janet A Englund
- Seattle Children's Research Institute, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Timothy M Uyeki
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Marco Carone
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Lea M Starita
- Brotman Baty Institute, Seattle, WA, USA; Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Ana A Weil
- Department of Medicine, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA; Center for Emerging and Re-Emerging Infectious Diseases, University of Washington, Seattle, WA, USA
| | - Helen Y Chu
- Department of Medicine, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA; Center for Emerging and Re-Emerging Infectious Diseases, University of Washington, Seattle, WA, USA
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