Design and implementation of a digital site-less clinical study of serial rapid antigen testing to identify asymptomatic SARS-CoV-2 infection.

Covid-19 digital trial point-of-care diagnostics rapid antigen tests study recruitment

Journal

Journal of clinical and translational science
ISSN: 2059-8661
Titre abrégé: J Clin Transl Sci
Pays: England
ID NLM: 101689953

Informations de publication

Date de publication:
2023
Historique:
received: 28 01 2023
revised: 05 04 2023
accepted: 27 04 2023
medline: 14 6 2023
pubmed: 14 6 2023
entrez: 14 6 2023
Statut: epublish

Résumé

Rapid antigen detection tests (Ag-RDT) for SARS-CoV-2 with emergency use authorization generally include a condition of authorization to evaluate the test's performance in asymptomatic individuals when used serially. We aim to describe a novel study design that was used to generate regulatory-quality data to evaluate the serial use of Ag-RDT in detecting SARS-CoV-2 virus among asymptomatic individuals. This prospective cohort study used a siteless, digital approach to assess longitudinal performance of Ag-RDT. Individuals over 2 years old from across the USA with no reported COVID-19 symptoms in the 14 days prior to study enrollment were eligible to enroll in this study. Participants throughout the mainland USA were enrolled through a digital platform between October 18, 2021 and February 15, 2022. Participants were asked to test using Ag-RDT and molecular comparators every 48 hours for 15 days. Enrollment demographics, geographic distribution, and SARS-CoV-2 infection rates are reported. A total of 7361 participants enrolled in the study, and 492 participants tested positive for SARS-CoV-2, including 154 who were asymptomatic and tested negative to start the study. This exceeded the initial enrollment goals of 60 positive participants. We enrolled participants from 44 US states, and geographic distribution of participants shifted in accordance with the changing COVID-19 prevalence nationwide. The digital site-less approach employed in the "Test Us At Home" study enabled rapid, efficient, and rigorous evaluation of rapid diagnostics for COVID-19 and can be adapted across research disciplines to optimize study enrollment and accessibility.

Sections du résumé

Background UNASSIGNED
Rapid antigen detection tests (Ag-RDT) for SARS-CoV-2 with emergency use authorization generally include a condition of authorization to evaluate the test's performance in asymptomatic individuals when used serially. We aim to describe a novel study design that was used to generate regulatory-quality data to evaluate the serial use of Ag-RDT in detecting SARS-CoV-2 virus among asymptomatic individuals.
Methods UNASSIGNED
This prospective cohort study used a siteless, digital approach to assess longitudinal performance of Ag-RDT. Individuals over 2 years old from across the USA with no reported COVID-19 symptoms in the 14 days prior to study enrollment were eligible to enroll in this study. Participants throughout the mainland USA were enrolled through a digital platform between October 18, 2021 and February 15, 2022. Participants were asked to test using Ag-RDT and molecular comparators every 48 hours for 15 days. Enrollment demographics, geographic distribution, and SARS-CoV-2 infection rates are reported.
Key Results UNASSIGNED
A total of 7361 participants enrolled in the study, and 492 participants tested positive for SARS-CoV-2, including 154 who were asymptomatic and tested negative to start the study. This exceeded the initial enrollment goals of 60 positive participants. We enrolled participants from 44 US states, and geographic distribution of participants shifted in accordance with the changing COVID-19 prevalence nationwide.
Conclusions UNASSIGNED
The digital site-less approach employed in the "Test Us At Home" study enabled rapid, efficient, and rigorous evaluation of rapid diagnostics for COVID-19 and can be adapted across research disciplines to optimize study enrollment and accessibility.

Identifiants

pubmed: 37313378
doi: 10.1017/cts.2023.540
pii: S205986612300540X
pmc: PMC10260333
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e120

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL137734
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL141434
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL146382
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001453
Pays : United States
Organisme : NHLBI NIH HHS
ID : R61 HL158541
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL137794
Pays : United States
Organisme : NIBIB NIH HHS
ID : U54 EB007958
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI068613
Pays : United States
Organisme : NHLBI NIH HHS
ID : U54 HL143541
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

VK is principal, and TS, SS, CN, ES, and EH are employees of the health care technology company CareEvolution, which was contracted to configure the smartphone study app, provide operational and logistical support, and collaborate on overall research approach. LS and LR are employees of Quest Diagnostics LLC, which was contracted to provide direct-to-consumer kits, logistical support for nationwide RT-PCR testing, and operational support for producing molecular testing results. DDM reports consulting and research grants from Bristol-Myers Squibb and Pfizer, consulting and research support from Fitbit, consulting, and research support from Flexcon, research grant from Boehringer Ingelheim, consulting from Avania, non-financial research support from Apple Computer, consulting/other support from Heart Rhythm Society. YCM has received tests from Quanterix, Becton-Dickinson, Ceres, and Hologic for research-related purposes, consults for Abbott on subjects unrelated to SARS-CoV-2, and receives funding support to Johns Hopkins University from miDiagnostics. LG is on a scientific advisory board for Moderna on projects unrelated to SARS-CoV-2. AS receives non-financial support from CareEvolution for collaborative research activities. Additional authors declare no financial or nonfinancial competing interests.

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Auteurs

Apurv Soni (A)

Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Carly Herbert (C)

Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Caitlin Pretz (C)

Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Pamela Stamegna (P)

Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Andreas Filippaios (A)

Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Qiming Shi (Q)

Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Thejas Suvarna (T)

CareEvolution, LLC, Ann Arbor, MI, USA.

Emma Harman (E)

CareEvolution, LLC, Ann Arbor, MI, USA.

Summer Schrader (S)

CareEvolution, LLC, Ann Arbor, MI, USA.

Chris Nowak (C)

CareEvolution, LLC, Ann Arbor, MI, USA.

Eric Schramm (E)

CareEvolution, LLC, Ann Arbor, MI, USA.

Vik Kheterpal (V)

CareEvolution, LLC, Ann Arbor, MI, USA.

Stephanie Behar (S)

Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Seanan Tarrant (S)

Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Julia Ferranto (J)

Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Nathaniel Hafer (N)

University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Matthew Robinson (M)

Division of Infectious Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Chad Achenbach (C)

Division of Infectious Disease, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Robert L Murphy (RL)

Division of Infectious Disease, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Yukari C Manabe (YC)

Division of Infectious Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Laura Gibson (L)

Division of Infectious Disease, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Bruce Barton (B)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Laurel O'Connor (L)

Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Nisha Fahey (N)

Department of Pediatrics, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Elizabeth Orvek (E)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Peter Lazar (P)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Didem Ayturk (D)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Steven Wong (S)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Adrian Zai (A)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Lisa Cashman (L)

Quest Diagnostics, Marlborough, MA, USA.

Lokinendi V Rao (LV)

Quest Diagnostics, Marlborough, MA, USA.

Katherine Luzuriaga (K)

University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Stephenie Lemon (S)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Allison Blodgett (A)

University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Elizabeth Trippe (E)

Division of Microbiology, OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA.

Mary Barcus (M)

Division of Microbiology, OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA.

Brittany Goldberg (B)

Division of Microbiology, OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA.

Kristian Roth (K)

Division of Microbiology, OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA.

Timothy Stenzel (T)

OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA.

William Heetderks (W)

National Institute of Biomedical Imaging and Bioengineering, NIH, Via Contract with Kelly Services, Bethesda, MD, USA.

John Broach (J)

Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

David McManus (D)

Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Division of Cardiology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.

Classifications MeSH