Comparison of a Blood Self-Collection System with Routine Phlebotomy for SARS-CoV-2 Antibody Testing.

Abstract

The Coronavirus Disease 2019 (COVID-19) pandemic forced researchers to reconsider in-person assessments due to transmission risk. We conducted a pilot study to evaluate the feasibility of using the Tasso-SST (Tasso, Inc, Seattle, Washington) device for blood self-collection for use in SARS-CoV-2 antibody testing in an ongoing COVID-19 prevalence and immunity research study. 100 participants were recruited between January and March 2021 from a previously identified sub-cohort of the Cabarrus County COVID-19 Prevalence and Immunity (C3PI) Study who were under-going bimonthly COVID-19 antibody testing. Participants were given a Tasso-SST kit and asked to self-collect blood during a scheduled visit where trained laboratory personnel performed routine phlebotomy. All participants completed an after-visit survey about their experience. Overall, 70.0% of participants were able to collect an adequate sample for testing using the device. Among those with an adequate sample, there was a high concordance in results between the Tasso-SST and phlebotomy blood collection methods (Cohen’s kappa coefficient = 0.88, Interclass correlation coefficient 0.98 [0.97, 0.99], p < 0.0001). The device received a high-level (90.0%) of acceptance among all participants. Overall, the Tasso-SST could prove to be a valuable tool for seroprevalence testing. However, future studies in larger, diverse populations over longer periods may provide a better understanding of device usability and acceptance among older participants and those with comorbidities in various use scenarios.

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.3390/diagnostics12081857

Publication Info

Wixted, Douglas, Coralei E Neighbors, Carl F Pieper, Angie Wu, Carla Kingsbury, Heidi Register, Elizabeth Petzold, L Kristin Newby, et al. (2022). Comparison of a Blood Self-Collection System with Routine Phlebotomy for SARS-CoV-2 Antibody Testing. Diagnostics (Basel, Switzerland), 12(8). p. 1857. 10.3390/diagnostics12081857 Retrieved from https://hdl.handle.net/10161/29285.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Wixted

Douglas Wixted

Research Program Leader, Sr
Neighbors

Coralei Neighbors

Student

Coralei Neighbors is a second-year Ph.D. candidate in Population Health Sciences at Duke University School of Medicine. Her research focuses on the intersection of infectious diseases, health economics, and global health policy. With a strong foundation in epidemiology and disease surveillance, gained through a Bachelor of Science from Baylor University and a Master of Science in Global Health from Duke University, Coralei has experience in tackling global health challenges through a dual lens of scientific inquiry and policy analysis.

Her research encompasses infectious disease surveillance, economic modeling, and policy evaluation. With experience in both national and international settings, she is currently contributing to infectious disease surveillance initiatives and developing models to assess the economic impact and sustainability of vaccines and other health interventions in diverse populations. Coralei's work aims to inform the development of evidence-based policies to improve global health outcomes.

Pieper

Carl F. Pieper

Professor of Biostatistics & Bioinformatics

Analytic Interests.

1) Issues in the Design of Medical Experiments: I explore the use of reliability/generalizability models in experimental design. In addition to incorporation of reliability, I study powering longitudinal trials with multiple outcomes and substantial missing data using Mixed models.

2) Issues in the Analysis of Repeated Measures Designs & Longitudinal Data: Use of Hierarchical Linear Models (HLM) or Mixed Models in modeling trajectories of multiple variables over time (e.g., physical and cognitive functioning and Blood Pressure). My current work involves methodologies in simultaneous estimation of trajectories for multiple variables within and between domains, modeling co-occuring change.

Areas of Substantive interest: (1) Experimental design and analysis in gerontology and geriatrics, and psychiatry,
(2) Multivariate repeated measures designs,

Newby

Laura Kristin Newby

Professor of Medicine

Research Description

General Focus: Clinical investigation the process and treatment of acute and chronic coronary artery disease and systems issues for delivery of care to patients with these illnesses. Particular interests include management of patients with chest pain and unstable angina, evaluation of the use of biochemical markers other than CK-MB for diagnosis and risk stratification in these patients, issues related to coronary artery disease in women, and systems issues regarding optimizing the process of delivery of care to patients with acute and chronic coronary artery disease. Finally, I have a strong interest in defining the genetic contribution to development of coronary artery disease.


Key words: coronary artery disease acute myocardial infarction unstable angina chest pain women biochemical markers risk stratification genetics

Woods

Christopher Wildrick Woods

Wolfgang Joklik Distinguished Professor of Global Health

1. Emerging Infections
2. Global Health
3. Epidemiology of infectious diseases
4. Clinical microbiology and diagnostics
5. Bioterrorism Preparedness
6. Surveillance for communicable diseases
7. Antimicrobial resistance


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