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
ARAB HEALTH - INFORMA

Download Mobile App





SARS-CoV-2 Serology Assay Evaluations Indicate Seropositivity Increases with Time After Symptom Onset

By HospiMedica International staff writers
Posted on 31 Aug 2020
Print article
Image: SARS-CoV-2 Serology Assay Evaluations Indicate Seropositivity Increases with Time after Symptom Onset (Photo courtesy of Barbara Ries)
Image: SARS-CoV-2 Serology Assay Evaluations Indicate Seropositivity Increases with Time after Symptom Onset (Photo courtesy of Barbara Ries)
A head-to-head evaluation of a dozen SARS-CoV-2 serology assays has revealed several variables in their test performance, including increasing seropositivity with increasing time from symptom onset and a range of test specificities.

The US Food and Drug Administration has granted Emergency Use Authorization to dozens of serology assays measuring antibodies against SARS-CoV-2. These assays help gauge whether a person has been exposed to the SARS-CoV-2 virus and better enable estimates of viral prevalence and incidence.

Researchers from the University of California San Francisco (San Francisco, CA, USA) set out to assess the performance of these tests by comparing 10 point-of-care lateral flow assays (LFAs) and two lab-based ELISA tests for the detection of anti-SARS-CoV-2 IgM and IgG antibodies. The aim was to provide well-controlled performance data to help guide the use of serology in the response to COVID-19. The researchers tested the performance for 12 COVID-19 serology assays on a panel of 128 samples from 79 individuals with RT–PCR-confirmed SARS-CoV-2 infection and 108 pre-COVID-19 specimens.

Some of the samples were collected in the first five days after the COVID-19 patients experienced symptoms, while others were obtained further into their disease course, including samples from more than 20 days after symptom onset. The team also collected samples from 51 people with non-COVID-19 respiratory infections during the pandemic and from 108 pre-pandemic blood donor samples. The researchers found that the number of seropositive results typically increased with time from patients' symptom onset, with seropositivity peaking after more than 20 days. Four tests reached more than 80% positivity 16 days or more after symptom onset with more than 95% specificity.

"We hope these data will inform the use of serology by the medical and public health communities and provide feedback to test developers about areas of success and necessary improvement," wrote the researchers in their paper in Nature Biotechnology.

Related Links:
University of California San Francisco

New
Gold Member
X-Ray QA Meter
T3 AD Pro
Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
New
Transcatheter Heart Valve
SAPIEN 3 Ultra
New
Diagnostic Ultrasound System
MS1700C

Print article

Channels

Surgical Techniques

view channel
Image: The new treatment combination for subdural hematoma reduces the risk of recurrence (Photo courtesy of Neurosurgery 85(6):801-807, December 2019)

Novel Combination of Surgery and Embolization for Subdural Hematoma Reduces Risk of Recurrence

Subdural hematomas, which occur when bleeding happens between the brain and its protective membrane due to trauma, are common in older adults. By 2030, chronic subdural hematomas are expected to become... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.