FDA Publishes Comparative Performance Data for COVID-19 Molecular Diagnostic Tests
|
By HospiMedica International staff writers Posted on 18 Sep 2020 |

Illustration
The US Food and Drug Administration (FDA Silver Spring, MD, USA) has published comparative performance data for some authorized COVID-19 molecular diagnostic tests.
The data show the Limit of Detection (LoD) of more than 55 authorized molecular diagnostic COVID-19 tests against a standardized sample panel provided by the agency. The FDA has provided these standardized samples, known as a reference panel, to test developers who are required to assess their test’s performance against this panel (or other FDA-recommended reference materials) as a condition of their Emergency Use Authorization (EUA). The FDA began distributing the reference panel of samples in May and has provided it to more than 150 developers as a resource in the development and validation of accurate and reliable diagnostic tests. In order to ensure accuracy of test results using the reference panel, the FDA has not disclosed the amount of viral material in the samples, resulting in a blind test for developers.
In the latest published data, a lower LoD represents a test’s ability to detect a smaller amount of viral material in a given sample, signaling a more sensitive test. However, the data does not indicate how sensitive a particular test is, and, therefore, cannot be used by itself to determine whether to authorize a test or other regulatory action. Instead, the data gives laboratories, healthcare providers and patients a new resource on the relative performance of available tests to better inform which tests they choose to use. The FDA will continue to update the data as it receives additional results.
“By providing this panel to both commercial and laboratory test developers and evaluating the data we receive, we are able to gain valuable insight into the comparative performance of different authorized molecular diagnostic tests under the same conditions,” said Jeff Shuren, M.D., J.D., director of FDA’s Center for Devices and Radiological Health. “Reference panels can be used in many ways to support test development and authorization, but most importantly, they are a powerful tool in monitoring test performance and ensuring that Americans have access to diagnostics they can trust.”
Related Links:
US Food and Drug Administration (FDA)
The data show the Limit of Detection (LoD) of more than 55 authorized molecular diagnostic COVID-19 tests against a standardized sample panel provided by the agency. The FDA has provided these standardized samples, known as a reference panel, to test developers who are required to assess their test’s performance against this panel (or other FDA-recommended reference materials) as a condition of their Emergency Use Authorization (EUA). The FDA began distributing the reference panel of samples in May and has provided it to more than 150 developers as a resource in the development and validation of accurate and reliable diagnostic tests. In order to ensure accuracy of test results using the reference panel, the FDA has not disclosed the amount of viral material in the samples, resulting in a blind test for developers.
In the latest published data, a lower LoD represents a test’s ability to detect a smaller amount of viral material in a given sample, signaling a more sensitive test. However, the data does not indicate how sensitive a particular test is, and, therefore, cannot be used by itself to determine whether to authorize a test or other regulatory action. Instead, the data gives laboratories, healthcare providers and patients a new resource on the relative performance of available tests to better inform which tests they choose to use. The FDA will continue to update the data as it receives additional results.
“By providing this panel to both commercial and laboratory test developers and evaluating the data we receive, we are able to gain valuable insight into the comparative performance of different authorized molecular diagnostic tests under the same conditions,” said Jeff Shuren, M.D., J.D., director of FDA’s Center for Devices and Radiological Health. “Reference panels can be used in many ways to support test development and authorization, but most importantly, they are a powerful tool in monitoring test performance and ensuring that Americans have access to diagnostics they can trust.”
Related Links:
US Food and Drug Administration (FDA)
Latest COVID-19 News
- Low-Cost System Detects SARS-CoV-2 Virus in Hospital Air Using High-Tech Bubbles
- World's First Inhalable COVID-19 Vaccine Approved in China
- COVID-19 Vaccine Patch Fights SARS-CoV-2 Variants Better than Needles
- Blood Viscosity Testing Can Predict Risk of Death in Hospitalized COVID-19 Patients
- ‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans
- MRI Lung-Imaging Technique Shows Cause of Long-COVID Symptoms
- Chest CT Scans of COVID-19 Patients Could Help Distinguish Between SARS-CoV-2 Variants
- Specialized MRI Detects Lung Abnormalities in Non-Hospitalized Long COVID Patients
- AI Algorithm Identifies Hospitalized Patients at Highest Risk of Dying From COVID-19
- Sweat Sensor Detects Key Biomarkers That Provide Early Warning of COVID-19 and Flu
- Study Assesses Impact of COVID-19 on Ventilation/Perfusion Scintigraphy
- CT Imaging Study Finds Vaccination Reduces Risk of COVID-19 Associated Pulmonary Embolism
- Third Day in Hospital a ‘Tipping Point’ in Severity of COVID-19 Pneumonia
- Longer Interval Between COVID-19 Vaccines Generates Up to Nine Times as Many Antibodies
- AI Model for Monitoring COVID-19 Predicts Mortality Within First 30 Days of Admission
- AI Predicts COVID Prognosis at Near-Expert Level Based Off CT Scans
Channels
Artificial Intelligence
view channel
Machine Learning Approach Enhances Liver Cancer Risk Stratification
Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read more
New AI Approach Monitors Brain Health Using Passive Wearable Data
Brain health spans cognitive and emotional functions and can fluctuate even in adults without diagnosed disease. Detecting early changes remains difficult in routine care and burdens specialty services... Read moreCritical Care
view channel
Noninvasive Monitoring Device Enables Earlier Intervention in Heart Failure
Hospitalizations for heart failure with preserved ejection fraction (HFpEF) remain common because lung congestion often worsens before symptoms prompt treatment changes. Missed early decompensation... Read more
Automated IV Labeling Solution Improves Infusion Safety and Efficiency
Medication administration in high-acuity settings is often complicated by multiple concurrent infusions, making accurate line identification essential. In a 10-hospital intensive care unit study, 60% of... Read moreSurgical Techniques
view channel
Continuous Monitoring with Wearables Enhances Postoperative Patient Safety
Postoperative hypoxemia on general surgical wards is common and often missed by intermittent vital sign checks. Undetected low oxygen levels can delay recovery and raise the risk of complications that... Read more
New Approach Enables Customized Muscle Tissue Without Biomaterial Scaffolds
Volumetric muscle loss is a traumatic loss of skeletal muscle that often leads to permanent functional impairment and limited reconstructive options. Current experimental strategies struggle to deliver... Read morePatient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read moreHealth IT
view channel
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read moreBusiness
view channel








