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.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

QIAGEN Receives US FDA EUA for First and Only Syndromic Coronavirus Test

By LabMedica International staff writers
Posted on 02 Apr 2020
Image: QIAstat-Dx Respiratory SARS-CoV-2 Panel test (Photo courtesy of QIAGEN)
Image: QIAstat-Dx Respiratory SARS-CoV-2 Panel test (Photo courtesy of QIAGEN)
QIAGEN (Hilden, Germany) has received emergency use authorization (EUA) from the US Food and Drug Administration (FDA) for its newly developed QIAstat-Dx Respiratory SARS-CoV-2 Panel test for use in diagnosing patients infected with the novel COVID-19 coronavirus. The EUA approval status comes after QIAGEN recently began shipping QIAstat-Dx SARS-CoV-2 test kits to the US under a new FDA Policy allowing the kits to be made commercially available.

QIAGEN provides Sample to Insight solutions in Molecular Diagnostics (human healthcare) and Life Sciences (academia, pharma R&D and industrial applications, primarily forensics) to customers around the world. The company has placed more than 1,100 QIAstat-Dx instruments worldwide in hospitals, clinics and laboratories. The automation system enables fast, cost-effective and easy-to-use syndromic testing with Sample to Insight workflows. A technician simply loads a clinical sample (such as a swab) into a single-use QIAstat-Dx cartridge and places it in the analyzer. QIAGEN chemistries for DNA and RNA sample processing and analysis are built into the instrument, and the QIAstat-Dx instrument delivers results in about one hour.

QIAGEN’s QIAstat-Dx test kit can differentiate the SARS-CoV-2 coronavirus from two other serious respiratory infections in patients who may have similar symptoms in a single testing run of about one hour. It is a multiplexed nucleic acid test that evaluates samples such as nasopharyngeal swabs obtained from individuals suspected of respiratory tract infections. The newly-approved panel includes assays targeting two genes used to detect the pathogen behind the disease, severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2), and is intended for use in laboratories certified under CLIA to perform moderate and high complexity tests.

“We are pleased to begin making QIAstat-Dx SARS-CoV-2 test kits available in the United States under the FDA’s emergency use authorization for clinical laboratories. The QIAstat-Dx syndromic panel adds an important tool for clinicians,” said Thierry Bernard, Chief Executive Officer at QIAGEN. “I am proud of our QIAGEN teams working tirelessly to implement 24/7 production of test cartridges and testing components. In addition to QIAstat-Dx, we are supplying RNA extraction kits under the QIAamp and EZ1 brands as well as numerous components and instruments for use in fighting this public health crisis around the world.”

Related Links:
QIAGEN

Gold Member
Flu SARS-CoV-2 Combo Test
OSOM® Flu SARS-CoV-2 Combo Test
Online QC Software
Acusera 24•7
Electrolyte Analyzer
BKE-B
LAIR2 Antibody Pair Set
LAIR2 Antibody Pair [Biotin]

Channels

Clinical Chemistry

view channel
Image: Researchers use a novel immobilized liposome-bound gel beads method to measure CEC levels and their association with cardiovascular risks (Photo courtesy of Institute of Science Tokyo)

Simple Blood-Based Cholesterol Efflux Assay Identifies High-Risk Coronary Plaque Features

Unstable coronary plaques are difficult to identify before they trigger acute cardiovascular events. Standard high-density lipoprotein (HDL) measurements do not always capture how well HDL particles function... Read more

Pathology

view channel
Image: Overview of the uncertainty-aware lensfree computational pathology platform for automated HER2 assessment. A compact lensfree holographic imaging system captures diffraction patterns from immunohistochemically stained breast tissue samples, which are computationally reconstructed and analyzed using deep neural networks with Bayesian uncertainty quantification. (Photo courtesy of Ozcan Lab, UCLA)

Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer

Accurate assessment of human epidermal growth factor receptor 2 (HER2) is critical for breast cancer diagnosis and treatment selection, yet scoring variability and infrastructure requirements can complicate... Read more
ADLM