We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App





Rapid Screens Can Predict COVID-19 Infection with Nearly Same Precision as Antibody Tests Conducted in Labs

By LabMedica International staff writers
Posted on 02 Apr 2021
Print article
Image: SARS-CoV-2 (Photo courtesy of CDC)
Image: SARS-CoV-2 (Photo courtesy of CDC)
New findings from a Michigan Medicine study reveal that antibody testing is predictive of prior COVID-19 infection, and rapid screening methods – even from finger pricks – are effective testing tools.

Researchers at the University of Michigan (Ann Arbor, MI, USA) analyzed antibody tests conducted on more than 500 subjects in patient care settings. They found that people who had COVID, including those with mild symptoms, produced antibodies. The findings also indicate that rapid screens can predict infection with nearly the same precision as antibody tests conducted in a lab. The research team believes that the results could prove very useful for providers.

The team examined lateral flow assays, which they describe as modern litmus tests: A drop of blood or serum is placed on filter paper that changes color to indicate whether antibodies are present. Researchers then compared three rapid screens taken by finger pricks or blood draws in point-of-care settings to serology tests assessed in a lab. They examined data from 512 patients, of which 104 had a history of COVID-19 and a positive PCR test. Despite some false positives, two rapid tests agreed with positive lab results between 93% and 97% of the time. Both tests outperformed the third brand, which lost its FDA emergency use authorization during the trial.

“For a long time, people were very worried that people with mild COVID did not make immune responses,” said Charles Schuler, M.D., a clinical assistant professor of allergy and immunology at Michigan Medicine. “This should give people confidence that the tests that are available to them aren’t just random number generators. They’re actually giving them something useful.”

Related Links:
University of Michigan

Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Luteinizing Hormone Assay
DRG LH-Serum ELISA Kit
New
Cytomegalovirus Test
NovaLisa Cytomegalovirus (CMV) IgG Test

Print article

Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Molecular Diagnostics

view channel
Image: The breakthrough could result in a higher success rate using a simple oral swab test before IVF (Photo courtesy of Shutterstock)

POC Oral Swab Test to Increase Chances of Pregnancy in IVF

Approximately 15% of couples of reproductive age experience involuntary childlessness. A significant reason for this is the growing trend of delaying family planning, a global shift that is expected to... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.